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	<title>Michael Kistanov &#187; AI News</title>
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		<title>Poe Unveils Multi-bot Chat Feature</title>
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		<pubDate>Thu, 07 Nov 2024 17:22:11 +0000</pubDate>
		<dc:creator><![CDATA[Админ]]></dc:creator>
				<category><![CDATA[AI News]]></category>

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		<description><![CDATA[Hamster Kombat Dips 43% Post-Launch as AI Yield Aggregator Token Surges Past $2 7M in Presale Through Brokerversity, network members can access content designed to improve their understanding of how to securely handle sensitive information and avoid scams. The initiative is part of National Cyber Security Awareness Month, during which LMG’s cybersecurity team has introduced [&#8230;]]]></description>
				<content:encoded><![CDATA[<p><h1>Hamster Kombat Dips 43% Post-Launch as AI Yield Aggregator Token Surges Past $2 7M in Presale</h1></p>
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" width="306px" alt="ai tools aggregator"/></p>
<p><p>Through Brokerversity, network members can access content designed to improve their understanding of how to securely handle sensitive information and avoid scams. The initiative is part of National Cyber Security Awareness Month, during which LMG’s cybersecurity team has introduced new resources on Brokerversity, the aggregator’s online learning and development platform. It is a valuable source for discovering new and innovative AI tools for developers, business owners, or someone curious about AI. Earlier that same month, DoorDash partnered with&nbsp;Edible&nbsp;to offer&nbsp;on-demand delivery from nearly 1,000 locations of that company known for its giftable arrangements of fruits and sweets. H&amp;R Block is one of several enterprises that have been among the first users of Plaid&#8217;s expanding consumer cash-flow insights, according to Gurwitz. In addition to its token offering, CYBRO has introduced a Points system, further enhancing investor incentives.</p></p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="300px" alt="ai tools aggregator"/></p>
<p><p>We’re now seeing the operators either sell or go bankrupt as a result of the dampened deal flow. But Kilduff pointed to a recent slide from a Goldman Sachs presentation that looked at decades worth of M&amp;A activity and found that industry declines have historically never exceeded two years. Jarmaine stressed the importance of reviewing the privacy settings of AI platforms and being familiar with <a href="https://chat.openai.com/">ChatGPT</a> their privacy policies. The month-long campaign will conclude on Oct. 29 with an online webinar hosted by Laura Bennett, LMG’s security consultant for cyber education, awareness, and training. The session will feature experts from CyberCX and aims to equip brokers with strategies to guard against cyber threats. That is why I prepared the top, most comprehensive AI tools directories for you.</p></p>
<p><h2>Google News’ bias skewed even further left in 2023 — 63% from liberal media sources, only 6% from the right: analysis</h2></p>
<p><p>But one thing the team learned from building Instagram, is that Facebook can be a useful tool for gaining adoption. Many of its first users found the app by way of Instagram photos posted to Facebook. At launch, Artifact <a href="https://play.google.com/store/apps/datasafety?id=pl.edu.pg.chatpg&amp;hl=cs&amp;gl=US">ChatGPT App</a> added new functionality, including a new feature that allows users to track how they’ve been engaging with the app and its content in a metrics section, which shows a list of publishers and topics they’ve been reading.</p></p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="301px" alt="ai tools aggregator"/></p>
<p><p>However, incorporating a chatbot as a supplementary feature in the booking process can genuinely enhance the user experience. Second, the GPTs can be integrated into the chatbots of OTAs to enhance their users&#8217; experience by making the conversations with the customers more humanlike. However, the major aggregators of content are already addressing this capability. However there&#8217;s a visual aspect of information that doesn&#8217;t exist in a query type conversational level.</p></p>
<p><h2>NEAR Protocol: Prime Opportunity Amid Market Dip?</h2></p>
<p><p>AI systems utilize algorithms, machine learning, and other computational techniques to mimic cognitive functions and adapt to new information. I can&#8217;t recommend Quicken to most people because you must be deep into personal finance management to make the most of the tool. While you can access Quicken via an app with Quicken Mobile and via the internet with Quicken on the Web, the full-powered versions are only available on PCs. With precious little time to move my years of financial data to a new service, I had to find a suitable replacement. In my case, I needed a program that could handle multiple bank and credit card accounts, several 401Ks, and some stock and real estate investments. To give users time to transition, the app will begin by shutting down various features, like the ability to comment and make posts.</p></p>
<p><p>I&#8217;m at Pax8 Beyond and will be bringing you news and updates for the next few days. As always, feel free to drop me a line at [email&nbsp;protected] and keep me updated on news, tips, gossip or just say hello. The number of developers building on OpenAI&#8217;s API, including over 92% of Fortune 500 companies.</p></p>
<p><p>Because of just how ubiquitous and well-integrated Google&#8217;s services are, chances are you&#8217;ve used Google News in the past, whether intentionally or not. If you have an Android device, your phone likely came pre-installed with the app, making it easy to get started with the platform. For every news topic on the platform, you&#8217;ll see a list of sources covering the event. You can either read the story&#8217;s highlights on Ground News or click individual links to explore the complete story. While I primarily use Ground News&#8217; website, you can also download the Ground News extension to quickly compare the coverage between outlets.</p></p>
<p><p>For example, some AI crypto projects focus on creating a marketplace for buying and selling algorithms, allowing developers and investors to monetize their ideas or participate in predictive markets. Others specialize in using AI for specific applications, such as parsing big data on the blockchain or making predictions about future prices or events. In short, any company or individual looking to take advantage of this type of cryptos can do so by creating their own system designed to solve a specific problem with machine learning-based solutions. As a result, hoteliers need to adapt their workflow to match the new characteristics that come with AI search.</p></p>
<p><div style='border: grey solid 1px;padding: 14px;'><h3>Banks Embrace the Digital Age to Become Financial Service Aggregators and Platforms &#8212; PYMNTS.com</h3><p>Banks Embrace the Digital Age to Become Financial Service Aggregators and Platforms.</p><p>Posted: Wed, 27 Mar 2024 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiwwFBVV95cUxPSlkxRUs5REt3NE5nRVktdDZiV3FicjJ1Y1V0SXhNblBhWTEzUGt1ZTVsVGcyaWNuZWxNcFdQYXcyQWNaV3FZTzhiR0RJS2xtQ0k2UG9JZWtrMGFqYVZBemQ4QXN1YTBiRG9pb1NqcFNvcnVPX2g5Q0pNaUlkOW5EdHRpR0Fsd21Ca0hEYTlMaXFGbTBvMndvaW5ZcGJ2UHFfUzJIemp0Y2lkNHY0VnI3TzViOFVIRnhOZUJiMi1BWjFoVHc?oc=5' rel="nofollow">source</a>]</p></div></p>
<p><p>Adweek is the leading source of news and insight serving the brand marketing ecosystem. Google has since admitted its AI image tool was  “missing the mark,” and paused the tech. When asked to create images from simple prompts about subsets of people, Gemini spit out factually or historically inaccurate images, such as&nbsp;black Vikings, female popes and Native Americans among the Founding Fathers. For all search terms except “immigration,” stories aggregated from progressive outlets accounted for over half of the results, according to AllSides. Out of the 500 articles AllSides analyzed, just 6%, or 30, linked back to Reuters.</p></p>
<p><h2>Latest in Apps</h2></p>
<p><p>Among heavy aggregator users, Gen Z consumers are more likely to browse an aggregator platform, probably because, as a group, they are more price-conscious than affluent users. It also follows that they are often more tech-savvy than most other consumers, so they most likely browse third-party sites for money-saving deals. Because nearly 60% of aggregator users already know which restaurant they will buy from before logging in, restaurants may have a meaningful opportunity to build first-party apps and take back market share from aggregators. These app studios often benefit from shared expertise across products on how to launch, draw traffic to, and monetize apps. Some of them raise no funding and focus on generating revenue as efficiently as possible.</p></p>
<p><div style='border: black dashed 1px;padding: 10px;'><h3>Will AI Become the New UI in Travel? &#8212; Hospitality Net</h3><p>Will AI Become the New UI in Travel?.</p><p>Posted: Thu, 20 Jun 2024 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiZkFVX3lxTFBjSDROSlFBelhrTS02RlR3WU5xSExmLU9uNFVKNHMzSTRTVmdXczE1RW90TVF2dURFSEdxbHRFdkd6M1ZwdkFmYlEya0puOU0zY2tLYlNSSFFVMXhQYmtMVUVlcEJlQQ?oc=5' rel="nofollow">source</a>]</p></div></p>
<p><p>With only 21% of the total tokens available for this presale and approximately 64 million already sold, this is a golden opportunity for savvy investors to secure a stake in a project that’s truly one in a million. BGR’s audience craves our industry-leading insights on the latest in tech and entertainment, as well as our authoritative and expansive reviews. He has previously covered Apple and iPhone news for 9to5Mac, and was a producer and web editor for Latin America broadcaster TV Globo. On Tuesday President Joe Biden sparked controversy after appearing to describe Trump supporters as &#171;garbage&#187; in a Zoom call. However, speaking to Newsweek, White House spokesperson Andrew Bates insisted he had been referring specifically to the &#171;hateful rhetoric coming out of the Madison Square Garden rally.&#187; Recent polling suggests the 2024 presidential election remains too close to call, with a model produced by election aggregator FiveThirtyEight giving Harris a 1.4 point lead with 48.1 percent of the vote, against Trump&#8217;s 46.7 percent.</p></p>
<p><h2>Display Technology</h2></p>
<p><p>Whether it be via incorporating AI travel assistants, or using AI to automate a hotel&#8217;s workflows and provide actionable intelligence, there&#8217;s a collective readiness for AI to improve every digital moment. I believe AI&#8217;s true power lies in enabling businesses to drive meaningful innovations from the inside out, so they can be smarter and more efficient in their approaches to revenue management and operations. CYBRO <a href="https://www.metadialog.com/blog/artificial-intelligence-ai-for-data-aggregation/">ai tools aggregator</a> is capturing the attention of crypto whales as its exclusive token presale quickly surges above $1.6 million. This cutting-edge platform offers investors unparalleled opportunities to maximize their earnings in any market condition. In August, the company laid off about 20% of staff, which hasn’t previously been reported. Depending on how that service grows, OpenStore may dedicate more resources toward it.</p></p>
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" width="308px" alt="ai tools aggregator"/></p>
<p><p>Furthermore, by enabling quick transitions between different types of content, these platforms significantly improve workflow efficiency. For example, a user can smoothly switch from generating financial reports to creating marketing videos, similar to using a versatile software suite that covers a variety of tasks. This flexibility is value-added by customization, which ensures that the platform can meet the unique needs of sectors such as healthcare, finance, marketing, and creative arts. That said, it’s still immeasurably hard for a new consumer app to gain traction without fueling customer acquisition costs with buckets of money.</p></p>
<p><p>She also covers enterprise-class technology companies, strategic alliances and channel partner strategies. Sharon is a veteran tech journalist and editor with more than 25 years experience in the industry, and has previously held key editorial, content and leadership positions at Techstrong Group, CIO.com, Ziff Davis Enterprise and CRN. The views expressed here are those of the individual AH Capital Management, L.L.C. (“a16z”) personnel quoted and are not the views of a16z or its affiliates.</p></p>
<p><h2>Oil giant BP is killing 18 hydrogen projects, chilling the nascent industry</h2></p>
<p><p>Genesis AI, for instance, is seen as an aggregation tool that can piece together something resembling a news article. However, it can only remix previous reporting, which could lead to a homogenous mix of similar-sounding stories. On one end, there are hyper-advanced users who spend hundreds of dollars weekly on AI interactions, chatting with AI characters for hours using open-source clients and their own API keys.</p></p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="304px" alt="ai tools aggregator"/></p>
<p><p>These UIs will learn from user interactions and offer custom suggestions in formats like voice, images, and fluid forms. This is a big improvement from current complex UIs that have all features built in, which heavily limits customization and clearly obstructs AI innovation. Moreover, the rise of Gen-AI aggregator platforms aligns with a broader trend towards digital transformation in business operations. As organizations increasingly seek to digitize their operations, the demand for solutions that can integrate various technologies is growing. As brands seem to digitize their content to make it more appealing the demand for such platforms is on the rise globally and in India as well.</p></p>
<p><h2>Canadian Tech Jobs</h2></p>
<p><p>Adding messengers to your window is easy, with popular options like Telegram, WhatsApp, Messenger, VK, and Discord available. You can also use workspaces to help you keep your work and personal life separate without a second computer. Free users can even add custom apps by web URL, so even if the site you need isn’t already on Rambox’s vast list, you can still get connected. For example, simply enter your favorite website&#8217;s URL (like xda-developers.com) into the URL field, and you&#8217;re good to go. Speaking of workspaces, Opera allows you to create multiple, so you can stay organized. You can also add a streaming music service so you can play some tunes without needing to open a new tab.</p></p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="306px" alt="ai tools aggregator"/></p>
<p><p>These apps are available from the sidebar alongside the workspace selector. Vice President Kamala Harris is on track to narrowly win the 2024 presidential election, according to a new analysis based on artificial intelligence (AI), with 276 Electoral College votes against 262 for Republican rival Donald Trump. Also included in the app changes was a move to make the homepage experience more personalized to the individual user, which comes as shoppers seek tailored shopping experiences but are often disappointed by the ones they are presented with. Several now-major consumer AI products, like Suno, started out on a Discord server — or still run primarily through Discord.</p></p>
<p><p>Investors can buy AI cryptocurrencies through cryptocurrency exchanges that support these digital assets. It is essential to do your research and choose a reputable exchange known for its security measures and user-friendly platform. That’s where Changelly, a leading crypto exchange aggregator, comes in as an invaluable resource for novice and experienced traders alike. By aggregating exchange rates from a wide range of platforms, Changelly ensures that users can easily compare and choose the most favorable rates, saving time and effort. Additionally, Changelly’s intuitive user interface, coupled with its commitment to security and transparency, makes it an ideal choice for those looking to trade cryptocurrencies in a hassle-free manner. You can foun additiona information about <a href="https://hardwaretimes.com/metadialog-ai-how-to-use-ai-to-deliver-better-customer-service/">ai customer service</a> and artificial intelligence and NLP. So, whether you’re dipping your toes into the world of crypto or looking to expand your investment portfolio with AI-based coins, give Changelly a try and experience the benefits of an efficient and user-friendly exchange aggregator.</p></p>
<p><ul><li>On the economic front, the use of AI could lead to job losses, cost-cutting in certain areas of news production in the news industry, as also leading to investments in tech and newer roles.</li><li>However, as internet dynamics evolve, challenges emerge, particularly regarding data privacy and compliance.</li><li>To get the most from the application, you&#8217;ll need its Premium Membership, which costs from $47.99 to $59.99 annually or $4 to $12 per month.</li></ul></p>
<p><p>Numeraire is an AI-powered hedge fund that embraced machine learning algorithms for analyzing market trends and making investment decisions. The project applies blockchain technology to establish a decentralized hedge fund, allowing investors to access investment opportunities in a more effective and secure way. The platform’s native token, NMR, incentivizes users whose investment models do well in competitions held by Numerai’s hedge fund. SingularityNET is a decentralized platform supporting the development and deployment of AI-powered applications. The project creates a decentralized marketplace for AI services via blockchain technology, thus giving developers a broad range of AI algorithms and tools. Other findings in our data are a little less revelatory if still worthwhile to consider.</p></p>
<p><ul><li>Some websites churn out a constant stream of clickbait news articles about the deceased.</li><li>The accusations from Wired and Forbes aren&#8217;t the only concerns raised about Perplexity.</li><li>As a depository of static information, genAI is ill-prepared to handle the dynamic pricing and perishable inventory availability in travel.</li><li>The shutdown comes amid increased competition in the Twitter rival landscape but also a slowdown in the usage of other news aggregators, like SmartNews.</li><li>Today, Quicken is one of the most comprehensive personal finance applications available.</li><li>The Stevie® Awards receive more than 12,000 nominations each year from organizations in more than 70 countries.</li></ul></p>
<p><p>Instead, when users click on a headline to read a story, they’re shown the entire coverage across sources, allowing them to peruse the story from different vantage points. “The line, internally…is we want a balanced ideological corpus, subject to integrity and quality,” Systrom says.  “And the idea is not that we only choose left-wing, or we only choose right-wing.</p></p>]]></content:encoded>
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		<item>
		<title>What Hotel Guests Really Want to Know Top 50 Questions Asked</title>
		<link>http://kmrec.myjino.ru/what-hotel-guests-really-want-to-know-top-50/</link>
		<comments>http://kmrec.myjino.ru/what-hotel-guests-really-want-to-know-top-50/#comments</comments>
		<pubDate>Thu, 15 Aug 2024 09:48:05 +0000</pubDate>
		<dc:creator><![CDATA[Админ]]></dc:creator>
				<category><![CDATA[AI News]]></category>

		<guid isPermaLink="false">http://kmrec.myjino.ru/?p=981</guid>
		<description><![CDATA[How Hotels Can Use AI to Drive ROI: Harmonizing Automation, Augmentation, and Analysis By Are Morch Additionally, AI is streamlining back-office operations such as invoice processing, inventory ordering, and maintenance scheduling. A study of hotels using AI for operational automation showed an average reduction in administrative costs of 20%, with some properties reporting savings of [&#8230;]]]></description>
				<content:encoded><![CDATA[<h1>How Hotels Can Use AI to Drive ROI: Harmonizing Automation, Augmentation, and Analysis By Are Morch</h1>
<img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.metadialog.com/wp-content/uploads/2022/06/examples-of-nlp-1.webp" width="300px" alt="chatbots hotel"/>
<p>Additionally, AI is streamlining back-office operations such as invoice processing, inventory ordering, and maintenance scheduling. A study of hotels using AI for operational automation showed an average reduction in administrative costs of 20%, with some properties reporting savings of up to 40%. For instance, a midsize hotel in New York City reported a 15% increase in RevPAR within six months of implementing an AI-driven pricing system. This boost in revenue came not just from higher rates during peak times, but also from filling rooms that might have otherwise gone vacant during slower periods.</p>
<p>According to a survey from OliverWyman, 55% of leisure travelers would select a certain booking channel because it uses generative AI. While some travelers might have a travel agent build the perfect itinerary, generative AI has made crafting the perfect trip itinerary easier than ever before. Although 61% of consumers said they would be willing to use AI in travel planning, 81% want to verify the information AI gives them before making any decisions, according to a report from NRG. Going on a trip can take a lot of planning and preparation to decide what places to visit or attractions to see &#8212; and when to fit them into a limited schedule. That&#8217;s why many travelers rely on itineraries to help map out what each day of the trip will look like.</p>
<p>Booking.com is based in Amsterdam, and Europe’s big new tech law, the Digital Markets Act, classifies it as a gatekeeper just like Apple or Google. Glenn is not thrilled about that, as you might expect, but at the same time, it means competition with Google might be on a more even playing field. In the future, there are plans for drones to deliver room <a href="https://play.google.com/store/apps/datasafety?id=pl.edu.pg.chatpg&amp;hl=cs&amp;gl=US">ChatGPT App</a> service, too. Join over 20,000 AI-focused business leaders and receive our latest AI research and trends delivered weekly. According to Crunchbase, the company has received $9.2 million in Seed Round and Series A funding. While its primary headquarters is in San Francisco, CA, AngelList notes that a secondary headquarters is based in Toronto, Canada.</p>
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zy4eL5GxdLETmAQO9U6apxZHIrQgZ1SeN1apJOJXhoOFWzJIpbvJksR2BWTVRjPD4KmpHcMrLlZ6y1RN+LRcj4Jj9pRuysRfmgUzQATEcymywA6R2yVcUdi+XPcY1KUy6C5WMxTUtjPWSjbA9xLa7PYDs9UuHT8pqrjWxdUm9biDaLpPYAbbmmUjfzHE+6fuE13tHIN7Ap4B1znfqn+i2pTtJW9Tm4ilF05N+hh+kv8Afs/wm/6nLLa8ha3pIPz2f4Tf9TlkPaWkhwII1B1WlXrZyUuhEhqHWsLDuUS09m7LbPHI7exscwZNc9rS4/MjK18ws0MJ0BWZoS0tI+Z4ZG3E46C4F/FQPBBsVf2dVTUsm8jeGOtbrWNwewqtV1G9e57gA5xubWAPcAMlJBXXQejW12U28bJAJWyNw62I1uL8jdYAbdSOxt6puLcNEJLFSwF7iLMaSbAnQcAq4DAcyT3f7pmaA3tQCvcCchb53SApFJBbE24vmMvmhB1XoxspgYKiZove7AdLc1tVe1wOF+QusmaRzyGAkACwHYE4URIXPKWp0QjoNm2viOTQ3wTDXE8VDLQOHBQupnjgVCaJcWWhW4c7qzWbVkkpH07SMJbfQX52usZ8L+KbA9zXhWT2KyT9TFIQru04CyZ1hkcxbtVXBl230I4c7rYwJaRjHSNEj8DCes4C9hztxV30gFLvR0RxcwtF7twgHSwH1+azgEwoSNslAUkkRabOFimtyKEE09I+MNLhk9ocLG+R58j2KEK7XbSqKnCJpHyYBkDw7bBUxdAODDwBUgiPEeKvbKFP1zVOkthOEMFzfnmbBUyAcwCBdCRMHaPFX9jkCWwIN2uGnZf+irU1E+VxaxriQCSACcgFPsltpwP3XfZWh1IiXSzqIuPVvp9krALHqHxUtK1ueLFw07lMxjOT/BcteSVSXuehQl9KPsVowMP92SiY2DbC3YrBEYbq8LN2vU4GsLLkHms4+Z2RtjUdWNqX9QrOBzCYa8uyIGaQFehQi4ppni/yE1OaaN2iAvIcVjZU3aqWkdaR2dslXJzXM+bPUj0oljOY710IPaubZqF0DbKkyyJMXalDu1R5Ic5oCoTY5Tb829qCL5M6o/r/AM7FSjpidAp423OI6krSpWBbXsjmUcTuzPZRO5JRQOJzaV0EYAQ8hMTL5cTDNCLWKhkpLBatQqUhRMSirGaGEFadK78u/NVp1NRnqfNaX0OeK8xLdOB7UxSy8MwcuCzfM6o8iTeadd3go3yG/tu0Ur5XdXNiaZC4m7m6LJHSQXTbpEl1scpILccXyUsgYCMn/VRB+nWAzU0r+sLyjwWUuZ0w5FfLEbAjv1Vmkb1z/Cf6Ku723dbF2qxREF5tf2T9wtqXXE5eI+3P2Mj0jFqmM3GUbTn/ABO4LLrJjK8vJu5xzsLD6rb27TF07H2BaGNBH+Z3mm1Gyo3RTTttHgAcIwDbtsb3W9XrZ5tJ2gjn8x2KwKeV0RkBuxrg055gnsUs8rqjCXuLpbhoGEAYQOY4qY08drkZ9yokbFCGMBwx5NuMViL2427VJtFsO9PRy4xZWxixHMalWdxG0BzZLO42Byvqq8lOwaPB7LEKbFbkLGvjLXlrhfNpIsDbiOasVe0HzyB0mAE2FwwD5mwUTiSAHPJDcmgkkDu5IccUYa2PNhJc8XNwdLjgAoJuLXswPLGytlbl1mez3aBVQFuR0jTAHw3dZoJxAZP4jkRfmsxrgS/G0kkdXCA0B19bAadiXJsTzllQ6FkMIjdYMPXLsZ97TL6qrhLJLOFi11iO0HNDonZcbgHLh2KdgcRGwRtu06i+J1zoc7fRRdEnS0zgSea0YliUD7ykBbsQzXNNeY66XSTmCwuq07RyV0nJVKlQ0XMuoss/eBr7kLRqBksCeXrqYczKryLVbu3tkLmymU23ZbbALa34rNpoSH3c11s/2SVotOQulWmOxaPDJpNsfV0bXboY2tBvcm5w5cmglZQilY4Oa03ByIHEcR9FoqU1j4REWBpuXnrC4ywqYzuVq0FBXuUKx1TKDNO9xIsLvNnHlYcQqF+ZXT7R2vLVxNErgAL9VrbNNrWNlmtpme80f5Vqlc5GdX6PxU5pooXNYd4xpeOLhrnxV6bY1E3SGMfP/dZFDs8ujbZw6zWgAty0Bz56KaTYhH7UX/y8loki1ylt3Z0bWNdFG0C+ZCxGxkHILrJKa1OIr3sRnaw48PmqEdDmsptJlkrmXT0j7ktJBOtiRdXabZjozjI0B+oXQUNEBwVnasQbTOI7Puqwn50JR8rKFI+1+uG6a9ynbLr+aPBUWtN3kYcgNUyOdxBaGtzXPWjepL3Omh9uPsXJJOqTvb/JYm1nYomm981oMqHYSyzeV1S2hFhiANjnwU01hZpNXizEGoVm6imwggNBvxT7r0IcjxOJXmNikdaQ52u1V3alS0T/AMzW3V4qGQ9Y965XzZ7EH5EPYV0AOQ7lzrCuhYRhHcspmsRcR5JH3LSOYKW4SPvY4dbZX0vwWZc5OHWy06c24LMY/FMSOOfzWnHIW5uyC3Zyw0LjRf8A4EuZGX3SxTtcMimyVDW6qtjS5FLEeJCzp1edUNdrl2nJVqlgyIN+5SVZnGQZ3U1HbC4jiVWmZ+YBwJsVedFkzDZrBoBx71dsyhG7uKSnF1+FlGnOtwv81DNo8id0Zy6g8U1rDn1Boglptk/tSTW/ZDtFidLISkSEpAVscpNhIANgc+KnxOcR1WBQWBAGEuN1K+MBw/KPddYy5nTDkRvBD3Xt8tFJs89d3cfuFEfaOVuxWKRlnnT2Tp3hb0euJzcSvpz9iLajbuH8I+5WzU0kZp7YQC5hFwM8wsjaHtj+Efcrbq6yOKFr3nIWGWea3rdbPP4e2BX2OQZsdzuDj91LtHZbmSNc0kZA3C1aXbzQQHRGztDcIrdp4mHDE7CHYC/KwuqOE07NGjatoc62kF7lzu/CSCtuhoYBTsdO1xZeziGjFbF26KDZwcXO3cLZQLYsdrNByxWPFRy7QLmHq2jIyaMhe98VlLi7kKSF2pSUheX04c2GwAvfW2d+OqUbLDXBgAu9t8vnl9Em0SwRkXGEYR1edgm7FqnGQOkeXBpyLjwspwkJm/QbL/s747e0D9brOh2EQ7rtOvetfYm2We1L1busG6kDgtKl2jTTBzgT1WYzlZUUYyXmLybT0OSq9i7oYjcXFxcKrumNkY4SXsezu4LudryQy7sCQAC+Z0/ZyzWTX0ccbLvk4aAC5zF7C/asZxal5UaRV1cy6el3bnuGd7Kd9S4C+HLvUzCAeYSyUkbs8lT3OhLTQVlXduLgqj9oNcbXuewXUrwGscAqtBTgtuMjc5hA0xlRKHDJc9UMONdNLTtZcuuSVkSRgu7ipi7FJxb5jWuBGX1SoPYkUXO2CtFIVWtxG+OPGHXGK1jbj/sqqttNo478j/qK1oq8jm4x2pliGRrI921pw3xZ5m6aHtBvhHzF1TLrD2zyPfldI8ni889F14InlY5bmrFtF7SLaDhkEQ7Se3Fe7sRvm7RZUjxrcj7ce3sSYxYgkn7jPv7VKikRikbLtrOP7A8Vowi4B5gLl4XgnK+fPvWhBtd2LBhtbUkiywrR9Ua0pNuzOmifZM2pJeneO77rmJdsTiYsa4YRbRoPBX5qx7hhJyN75cgsodaNp9LHbtzi6zb5D7KuBhJxMVuIjeOBxaD2Us0DTfC191SrK1RpnRQ+1H2KbMgTguFUr5bxA2yDtFfbAQOs19lQ2lg3PUvrxUws2XnpFmQ913XUyrqxdd0Dxq+rNWid+YNPZ4qKT2j3p9H7Y09nio5D1j3rllzPWp9CHNK3mTCwzGnNc+0qRoF9VlJXN4o3t8OY8U4zC2RbfvWCxocbXU5oTlcjxVcKLMzXE7y4ZhPEX48VZjcL9eMP7zcDuCkqacDCbg3yNj4FTR0bbXWnoctnfQqukbHI02LW3ztpZP3olkO7zA4nIJlRC3eMaBfO57lLLA2KVwsMJPLIILMeaqQDCS23fdVJ3HK1iL8Ar26bbIqvO0C3igZU3V3tLtb8FbmYGgBosoIrGQX01UU9RvHO4AGylK7KuWFEpyS8NUQZgYvFWHR30cPCys4iFWNtRgdoMf0TZ7DR5OXJTlr7g9XJMqnOvmW6LCzTOxSi1oyqUNCVJdanOTXAt1iDfgpJXtLm2c8/JQ7w5C4GY1Ur5CHgbxvfZZS5nVF6EX7TrEnPjqrNGRjNhbqn7hV79Y9YO7Qptnf3h7j9wtaXXE5uJ+3P2Y3antf5P6lUqasOF7AMrA52JNsgrO26gMdYXx4GkcRbEVn1FbeMdUNeMsQyv2ELetL6jPOoR+mmSUD243MkYCcYsbDTi3wSurnMbK1lwQeX7PH5KjBTzmz2HEQb5nM+Oqs7RkqXXa9hsdLDO172Nu4LN6mi5FkVu9iyYMQLfzALkE5WdyFgfBQ08m7le2RodwcHGwNxcWHhmk2HTSB7g5pa0gXvx5LS2rG1rMeCNzxYuHVxFoGefcFDLIwqiqacUYuAXEnO9s9L8bKxJVtY9rAMLQQCSL5cwqe1z+Y3S5YMgLADgPBS7Nkjklcal17NGEvceen+yvdop2NCOUCRjQGCxyLRoOfaU+rfKA5gaWtaMibhpaLEXtx+SbE9ntBhFiMJtn/urAed8Z3DLMEDRwAy+engqR1Lsh6VUi733MWLJ2oGYBHZp9FNWbUEsrc8QLQGgjLP+nkoa3aMUkjXx9YOa7eNAs1oORxLOp2OxNw5txdX+EWP2I8VLiQpehq0taHulDBZrXdUfu8FYjkc7MnLgPNY+y3Bk0uLI4rN7esf9luOjaQH8uXEcQs5KzOmnO8Rsk43brngqVDV2vhOSvS0rJAQHtt+9kVR6NZ4ax3VGpAtfuUNF73LFRUXCzA+91e2hhYyzdVmxnLtBIPYVW2heFpSsx6RKhVOoFNJUMY2MPOrTwv+0VCoNpD+6zzwnLl1yt6HUcfGK8P2WOnw9v8AKj8Qi7f5VRmpXxWxtBve2d/smPBBsYxc9h812XPKwI0DtGLk7wCb+JR8neA81nlxGrG/MIdG4/sW7hZLjCjQ/E2e676ea1WbOjMDHyl4JuSNdc1yz2FuoseS2tpzGHA2KrZOxwzwjNvYVlU1NIJIlkkED5H2uHWw8LW5hR0dSZJw4u/ZdkNNCqslcHX43UmzJWmUANF7Oz+SzhC00y85eVo35JiyW4Nsgp4Kskm8hHyVSp/vfkENqXMJth04hZ143kzp4Z/TV9izUVIAIEpPZZZjow9lnOsL6qxETK4lxa25SVzd1Hdjw7PgqR8unqaS1VzAlaA7I3Uiiebm/NSrugeRX5mnRDrt7uKZN7R71Ps2UNcLtBuMrpJY7lzr/taLmfUz1ISUaabIY1ICdbBACWyYNzN8Q/7RQ5LLUE652TCxNcFdRRk6knzZTqJnE9U2zVyG7h7br96qOarNG+9xoeBVZotSepNEWMcAdSdTxVqsqWAg6nkOKoyQSYsJcwtPEg3+6s0myg04nSAdzbki3as7HSmxm6xda7hf9m+SjkbfhZTvpg53tOLQNDYZ88lHUdXTgoIKbjZw7E54vnxU08eGnhPFxkd8rgD7KOBtwtorQ5Zu7HYwLBSMkVYZlWGMVihMJFJjDhZwuFEGp+FAQTQWzGY+ygV+5GirVbmAgAWPE3yuqOJvCr6Mj3RJBsCARqrEwcHjqMCquIuLgnuUry3EDu3WCwle56EOQxntO0GfDRW9nuJkJPun7hU4yMTrCwvor9JNif7IFmnTjmFrS64nNxH2p+zJtoQgsDiNDrbLhkfuqg2SypDi4BhdkxzTo7P2hpmp6muLZRDbE17ASPmc/ors7AG4i4NZliPO2hHbor1l9Rs5eH1pR9ijsuIMgYLC9swc8+KsloOdgO4BRkYTyv1v5s/6qVmioy1rFE1Ebmgh929gvfxCoVpGBwYHXef/ALSBb5H6KOjY4MAH73FPcHXYf3hx7CtVHQzbKdTTYnONnZRgDqnM3OWnKylk2S4uJGG3Vw2JyA+S0t2/j9wonOPP6q+hBjV9XKJDHyOWWdjmB9VubTY3ozwHdbDkMR5jgsKezpTITc3uPloiSqLtTdVTsCs2mdxyCvtmDbYcrC328gquNISoINDZP5lbDfO8mI/Lrf0XU1UG7kc0+y7NvceC5X0faXVsFvf/AKFekyUbZ4yx2RGh4gqsldGkJYWc1gsFTkIYC4q3XwTQuLCCeRAvcKGLYtROA4twg6Ysj4LHC3odLqKxQjYZpG8gcTj9gsutcY6mTkTfxC7CPZu6/Lb1nnWy5f0mg3dUWnXA2/1WsY2RzSk73Q1krToVIsgOU8dQQqOmvQ3hxUl1amgoKxt3R9ZrbM1cbD2imtqxxCjrHhxaRyt9ValFqRPEVYzhoLWyveAXyRusdGEXz45DsTamM9UmVrri+XDsyVcWv1r2421Uv5PKXxb5LpOEiI/eH1RrmXJepc+1bhpdMe65UAUjtVisY4hpcWcgGqoVtV9FGww4GgEyAH6KGrkoxy0gkFXdjf8AUD+F32Vaqykd/EfurOxf7/8AyO+yiPNES5M6lzMU4GWnHRVZxZ9iL5q5a84Fr5aKjWD822meiyqdbOml9uJpmncQThZbks2udihcA0A34K5LGQ0nAQLc1Tie1sbi9uIX0usIL1OmT0sYT2FpsRYqVqm2nPHI4GNpblmoGahd0G7XZ5NZLFY0oMnt7uKlvdp/iv8AVRmNzS0ni3JPgzBCxXO52VHZJEhYkATmm4S2VjEZZNe1SWTXqQVHtUbHYXnkrRbdVHMzcoZKdjZZGHsBStpnH9s2UdOHNjY4C7S0XA4Gyf8AiUYGtlg00dcZpom3YaFRbCaiURs4m7jyHNJNX70iOIXceX9V0OyqAU8RJ9t3tFTGJWpNckYm3mta9sbBZsbA0f8APBVYG2anVr8b3O5u+mgShbHKQ00Vr35n7qzwUf7WH5qVAOASpCUhdYIBsjs7DhmVnE4n371cc6zCTxzVOIceQugJ2huRLiNNFJUBgcAHusom3ABuBa2qkdKXOBL2hcslqerTd4oihFr53VrZos85cD9woGe07O+eoV6na0SdUk9Xj3ha0n54nPXX0p+zMnbtTuqpjrX/ACx/qcmSekONpYWkgixzw/TNQ+lX/UM/wh/qcsZdFVednBRk1TXsdvT1LJWNLHF2EYTe/Dv1VmI5G65fY8lmOuTqLAHsV18zjloFTAjXGSPaATd9szxKiLxYAcDcEpoYlwq9yopJOpKrV8xayw4/ZWwsnaT7yW5BVBXuhIEKpFxUJEKQdF6DsBrhfgxx+oXpFQ3AcfDivPvQFl6qR3KP7kL0KpdiZh94W81BY4it2hJO8yhzmg5NANrAHJbuztpuqIWhg/MNw48Bbiud2k0Ne9jRZu8LR2C9l1myaKOFrQziAT3kBZwvdnfxOFU4pIlhpRECdXcSdSvO/TB16+Tsawfpv/VemSG68s9JH4q6oP79vBoH9FqeezJITwtE7OAjLrnS+n9VnltlSMlLkBEXQmkqxA7Ljf5JcLf3vAKO6C88StIsrYeWtGuLwTXNHC/zSOkJ1N0rpXHVxPeUuBHMIGYW7tp2EREah1/Cywi4kLa2qMbog42BJ+Wim5KMmeIgi+rgHeK0KGDdVOHX8s/Vt/uoKgh8461hYAEt5Dkr8ZxVDXXB6jhkCOB5qEvMRLkbthv23F8kjxDjdvLg3yskcLztBuRbhqqVdlIQMu9YVI3m0dVF2px9jTAicHWLys2tY0QPw31496tsbbISG2WgUVSQYnDGHZ6FYx0Z0yV4nNFTR6jvRVnO2WXJJGLkLvXI8iovMkbU8wfgA4CyhidZ3eoc+CfiuARqFjFHVUfmLLXdYj5qZUnyWDXcsj3K205KTMRxTDmnO1SFikEYGSjLdVYw56JcCAsR10cVM3ECXZhrR2HUngNFh1tZM/2msDDphaCD8yus9HdnskErnC5ybnnYZ6KltXZjqR4laBge6zmEXbftCqSjG2RXPp34jGxzeOWE/IjyXSz7dhmgO6JDtC12RHb2/JYtbTRSNbuOo9xALHdvFp4js1VuthEeCMG4Y0ZcBfO3hn81JMim4XT2ppRiQqOeRcHinM4qJuqkZxPNAOfqopc7N5p5KhD8yeQsgIqx/AJjRw7QPNIOs4nknRO6w7/ugFkaS8WAOY1U9VC4kDCwXUEsTnXcASL6hNfC+4Ba6/DNc8+Z6dLSCFijLSQeB4K/RyFzze2TTp3hUIGFpIdqr1FC5jzfi0n7LSl1x9zKv9qfszE9Kc6hn+EP9Tlnz09mgjgtH0l/6mL/AA2/63JhiuCF0Vetnm0uhexX2dLYEK+JFnULbSEHkQtLAFQ1HtT0wFOBQC2WHO/E9x7Stw6LAKEMAU5NCcoIERZKhAdd6AN687uxo+q0PSj0ilppI44cN8OJxcL6nIDPsKqegjbRTu/eA+iT0p2aZHMmL9SGBthkNdeP+6h6GsYuTsijvjI2OR2rnBx7yV3dKPy2HjYfZcJMy0QaOC7XZc+8p43c2i/esqbu2d3GRaUS052pXlG05MVRM7nI77r1KpfhY48mleSvN7nmb+K1PPY5s7gCL5FMkffgkSFEVETSlJTSgApWvNk0pQiIHh594Dv/APZNOZzI70pLbDI34m+vySgj3fqrgRrcxnddPtiKNs8AjdcEuJHLLmuYJF8hb53WlHUiSpjN7gX+xT1LI2N2OIHglEbQCQ0DI6DsRvAlvke4rdFXyZcd/fszIy4aqnXjrkjPPjqpauXDLGb20zUFazePu04guaa87Z00dacfY16UuLNYws/aFKGxSHG035Jho3sachpzVAvO7eOIWEKet0zeT01MyVmE2U1L7QUM8znuu43OisUIu8eK7f7dTy21mKxeBAJ/dNj/AFTJoy3rN04qy5ueLgTmmuZb2SOwcCsTZu7uVg4OaRzVmkku2x1GSpStsfddyKfRv170IL7zp3p91E7MFKHXF1IJbpCUwFOugOg9F5QGzX4YT9wqvpTWdIIpGAkgtL7e9wYO3ifl2qnRV4p2yOPug25kEWHzVWhry2ORzbmokc7E8/sjjbtJJUFkZrZnNqixxvu3C18wHC3LXNaE85cS51rnW2ixHC1QW8S63mVoPnF8zZBImulA4prNLqSyFRL3yT3m2QTWcSonPuVIJS6zbqo92QHj81JO/q2UJcALkqAI5wY0lPp2YGY3anQIp4C8iSQWaPZafuU+oudfkEAwzEANLiBlonTPDiMD3EqtOcwnQ1DmEEEXCwlHW56cJWViaAuucV79quUOLE7FfQ2v8lTjqDI4uda/YtKAi/tX6pv2aK1Prj7mVezpT9jE9IYi6oZbL8sZ/wCZyjbL2K9tgAyNuP2B93Km2y6anWzzqXQiq8WlxXwhX2qIgFSBUNCQJ11ECjEgJSVgO1K15pLNd3LHchDFCco2lSBQQCUJEoQk7n0Hb/ZZDzk+wT9svxPYzg258UvoUP7Ef8R39FDtQ/nv7LfZZ1ek7eCV6hnVGi6T0YfelA5OcP6/1XNzaFb3os68LhycT4/+yypczs41eQvbdkwUkzv3HfZeXlei+lsuGhk7S0eLgvOyug8hjUjihMJQqCaUqRQBCnBJZOKAcCRodUhJGhv3Jl0K9yBzdQtN1t+zsB/qsxuq14qYFwdc5BWWvIkuB6kY7XuP2TAwdqc0Wv3H7LVIiXIdtx1g3uWZFMbtGIrR25nh7lkthIzRrVkwclFW2OhbLEf2HuAA4rNke20mAG3C6SOR9uqSm7s4XDiVgoxi+Z12nNXUX8Gc8ZrXoYmtZi56qi+mcXCzSB2kK88Fxto0K0pq1rnOuHqXflfwTb9vNLhxaW+SjbCwcU/GG+yFniRbIqfi/ghmhf7wPY4KtTNLXEHnwViTE7U27lXbE8OJzKYkMip+L+C+05JYzlbko4zzyT2mx7ExIZFT8X8EgQm4wjGExIZFT8X8EG0LYMzYAg6XUWzXX6ulyb3UlcMcZDcz/uqUcLwAMJt+1nqPd+aYkXVCpbpfwTEm5da7nC7jbOx9keAHiVWhYZHAO05q9BisS4Wc4klTCyYkVdCp+L+CRjeCR+eSA4WQ1w1KYkRkVPxfwJO/C1QQjiU2fE5wyySvJtZoTEhkVPxfwNtjfaxIHbYKY0xyzaLaZXt3XS0rbDPUqci6m9zOUJRdpKxUmp+b3HvKjNxle6vuaP8Aneqs7Wi3NAuZA6SxAwgk81bqgQ9nUYExjGljiWkkWsRwTpS1kjXPY7DyPcuaTuz1IqyGH2zcAd2it0sWEk3GYOiqB7HvJYLDkr7Yi3UWu0/NXpvzx9zKur0p+zKO1LY2/wAA+5VLJW9qHrt/gH3KpLqqdbPMpdCH2CUEKMosqGhLjCMQUaLICOtf1O8rNcVPWuN7KoVDIYoOalBVdStKEEqUJoTkJO89C/8ApCP3iqle68sh/ePkrfokMNGDzcf6LOmfdzjzJP1WVbkejwC8zZXl0K2vRV3Uk7x/VYkhyK2vRf2JP4h9lnS5nRxnQJ6bSWpWD3pB9AVwhXYem8t2wt/ecfAAf1XHOK6Dx2ISoyUpKaVAC6UJ0UD3+w0lTNoZfcPiPNLllTnJXSZCkKsGhm9w+I80dAl9z6jzUXROTU/F/BXDU4NVxtFJYdT6jzThRP8Ad+oTTcnJqfi/gpBq0qOqAABvlko+hP8Ad+oTujOaLkZd4UxlZ6MOlNc4v4LnS29vgpIp2uJA1sfss1T0nt/5XfZbKbZk+RrVkAkcBitZt1QbGt6N8FhjbidbM3TJhTllo22dcZk5LVxliehanWpqCTZik4cuSWJ93NB4uH3SbRkBneQABcZDuCs02xKx4a9kDyMiL2F/EhebK+Jn0lOpBUotu10v+DS202OIyBkdL1X2Aa9xksHaFt/FFfSRRMje1h/tD2lodf8AKbYEt7zfLsS1NFXykl9BDiLg4uDWhxIN8zi48Ux9DtJ28xQYt49rzctyc3Qt62WWXcrfo5Iysl5lpz158iXadPGJTCxtM28oYCx7jKAXWzaTbvVOsmhD54W09t3iDHtJL7tNsT7m1jbPLJWayhr5sWKija9xuXsa0Pve98WJLNSbSe1wNK0OeML5GtYHvHEE348VGuxMJJJXkv8Ad7ajTSx/iLocA3YZfDna+4Dvvmo21MXQ990aIuEoj1fpgJxa63CmNLtMst0ZuPBg3tmb3Da1sV+WV9VV/Bq/c7no5wY8erb3w4eelimuxKlF2xSWlvXbn8lialjwuY1oEnRYpmnPUC8niD9FNDSxNfJG5kZfDAwuMjiG7xzgTcg8A6ygbQbSEscop+tGxrG+zYtDcNiMWeSWGg2iySV5pQ8y3xh+FzTd2LTFzU/oq5aWxr59f/DO2k8CTqiJowj+5cXN453PFam1Ioo2ENjph+W05yO3ty0G+G9r3KqVexK2Vwd0RseVrR4WjvtfXNWqijr5WkPoYiS0Nx4W47AWBvi1so12LynF4bSWncZVQRNpOlCM/mNDGszsx2YdJ3HDl2kptUYIZujmDGA0Bz2k70uLQ7E3O1s9LJz6HaTnSE0/VkjEZZ1cAaPZwjFla2XzUjKbaYaP7M3G1uFspDN6Ba1g6/LK6foqp7yT/wBXx8CRbNY91GccTQ9sZe1zyHPu83sO0ZJ2zqGNz5jJG57DNuWYQTguTd+XIYfFVzsvaOKB3R84A0Mzb+y7EL9bPNLPs7aT2tbuXNAc93VcBcvdck9ZP0HK6tjXz3HUez2uglZIMNRvt2x18sQaThPYbEfMJ0tLHEwyujvu6eBxYSQDJJkS7j8k2roNpSh2KntikEhLS0HEG4b+1/wqSSn2o6Uyupw4uYGOacJa5o94XT9EObbvjXz7BTUjXT0+OBjGvEgcBIHRuLWEjQkt4XzVDab2jBhbTjW5geXcvaucloNp9pB0ZbSMaIy4taA0NGJuFwtizVar2PWy2/sUcdr/AN2Gtv39ZHe3ItTmlNOUlb39zNgfd4H/ADRXClp/R2tDwdwR2kt5d60DsGpP/j+o81rSTscP8hUjKonF30MeZ6qOdcrff6OVR/8AH9R5qD1Wq/cHiFpY4YyV9TOa8BjgXEaZc0VjmuLQXkjjktMejNYAbMGfMhEno1WEjqNy7vNYum73O6PEQtZsyoo2tccBJHapqapLpHsJvZpt3ZLS9XKu9ywfIjzUcXozVske/d3u0iwIvnbt7FpTg1JNmVatBwko+pk7T9tn8A+5VRdFU+jVXIWkR2s0CxI5nt7VD6p1fuDxC1qaybOKm7RVzCKAFu+qdX7g8Qj1Tq/cHiFWxe6MNF1tj0SrPcHiEvqnV+4PEJYXRydYbvUNl1E/oRWOdcNA+aZ6jVvut8VFiLo5dzErV0/qPW+63xSeo1b7rfEJYi5zwTrroPUit90eIS+pNb7g8Qlibl70YrCKd8Z/ZaXDut/sqxK06HYFVFGW7o3LMORbytzTT6P1Xwj4jzWNSMnyPQ4StTpp4mZL9FsejRsH8rhRu9Hao/8AiPiPNX9lbLqIGEOhcST+yW/1KinCSepfieIpzhaLOe9Ln/mRt5B31I8lzLzmu5296PVVU9rmRFthY4i29/kVjn0IrfcHiPNbNM825zZKQrpPUet9weI80eo1d7g8R5phYuijQyWiaB2/dWN8rbPRetYMO4cbcQRY/VO9XK3/AOHf4jzXLJSuz6GhXgqcVdckLtFjY46ZzRYvixO7TiIv9FMBExlDJI27ZC/e5nMCTDf5BWOhV5jZG6iY8MbhaXNBcBmdb9qrS7Gr3xxRmndhiDg3S/Wdc3z5pZlc1NJOS5v19xa2lFPDNjzk327jJP7LRdz+292+Ks7Wiiia5rI4cmMIO+O8uWg3wX7VDXbN2jUYN5A44G4RbCPmc9dPBS1NFXyg46GMuLQMeAY8gADfFrYK36KZnJuS76+xh79NkmuCFf8AVyt/+Hf4t81HNsGqjaXyRFjBq5xFh35qsVK60N6teDpyWJcn6mYp6T2/8rvsg04+LH4p8TWsJJkYcjoexdyhK/I+bck1zNEuSNcmXTGuXsep5FhaBgfXxNcLtMrLjnmF6kvLtkn/ANQh/wAVn3C9G2s15pZxG4tk3b8BBsQ7CbW+a8J9c/dn0Nf7dJf4UW0Lz3a3pBUCi2bJFI/EWOfMQc3CMtacXO5ur+256maprhTTyMFNTxuDWEgFx65y4nDcKTmOzQuQZtmStqYNxI5sUdKZpsBsC9wsGHuIv4rJoPSGofsarxSvFRCWOa+5xFj3ixv/ADDuIQHoqFw8kNbV19XHBWvhETYiG5lpLoweeWf3TYPSGaRuzzLIY3tqXw1GeFri0NPW4aEdl7oDukLnINomTbRjjmxw9FxYWuuzFjtfLjZZfo/tad+0Q6SVzqepM7YWEnC3A4EEfIfVAduhcT6PbWnO2KmKWV7onPnbG1xyDmPBsO5qk9DtqT1FbVGSR7onAviaTkGmQgWHyQHZIXH7f2hMytqmMle1rdnukaASAHh3tDtVOk29NLsuImR4njqY43uvZzmuNwT2EG3yQHeIXB11BXtr4qYbRkAnEjwbGzA25ta+aVtLXT1VXC3aEkfRmRZ52cTHmdcswTx1QHdoXBx7Yq62m2fTMlMctTvN5K3J2CMkXFuJAPLMdqcaqqounUck75MNM6eCUk4wNCL3vr9u1Ad0hcFT1NdRR0dZLVGennMYkY4G7A8XBB7M88uHNa2x62V8W1C+RxMU87WEn2QAbAcrIDp0Lg4qyqrI6CjZO+N0kJmnlBOPCHEAX7x9km1H7QoqGojkmkIZLHuZ8XWc03u053yy17UB3qFx2zdtyt23UU8r3GJ5LYwdGuADrDllf6KhT7Uq56OipY5nCaqklDpSbuaxjjex7vsgPQELnvR+graWolimldPSlgdHK9wxB9822Jvz7Mu1P9MKqVkEUUD3MlnnZG1zdRc3J+n1QG8hcRUbXnOwmSiR7Z2yCN7getcSWNz3WXSeke0jSUU07c3NaA3+JxAB8TdAaaFx2z9lbSppqafpElQJSOkRudkwO4i54X4W05FM2ftl34XWOfU/ntdMGYnjGLDq24oDtELjNqV1Q6g2bHDM9tRUBpLwesQ2K7rnvIUr3VNZsqnqIat0Lo4nmQi5MhaLG+Y4tPigOuQvOXvro9lGtdXSu3gbhbcgsO8sTe+eQPitGhqqijrt3JWmriNPJK/9zAL31NtLfNAdqheeYNodD/FulPx33m4z3e7xWta9rWz7u1T7c6WX008NdIyKtkjaxguN2HgWOuevYgO8Qsynp5aehcyWZ0srWSHeHInUjjwy8Fzfo7S1j4oa2XaD3R2L3RG5uGk3F79nJAduheehm0JaV21hVPa4F0jYM93u2kgi17aX4Z/NW5pqmvr2sgq5KZjqRk4DbkXJAta4976IDt0LA9DK6aelkE794+GZ8WP3g0Ag/VZMkFXtSoqnxVT6eKneYomsJGJ7dS6xHZ4qAdqhclHWVjarZUdSXMkeJhMwOFnlreqThyPA/NVPSLac8cm1AyZ7RHHTllnEYS57MVuV7lAdwhcTGKimhnqPxPpTmQOIjuDYm1nWxHTuTdh0NW8RzQbQMzZo3CYOeSYnObkWi+ocezTtQHcIXBUdBXur5aU7Rl/Jax5OdnA2ytfJRbP6XWl9VBXWqWzG1M51mBgOhF9Ldn1QHoSz9qbWZTYW2L5X+xG32j29gWgFwu1ZC+oqLusXzxwE8Wx2N7cr2+6rN2R08NSVSXm5I1qb0hmfKxjmwNBcARvgXgX5A5lNj9KXkiR0QFMXWxYuuBe2Mt5XyWrDsWliaCyFmJoycRd1+d+a4Rs+CKmJBcwxyB7RxYZDfz7wFSTlH1OqlCjVvhj/AN179jtds7ZMBjZE1r3yBzrudZoa0XJJ7ktBtnewzFzcE0IdjZe+YBII7DZcc+d2NkTziEUM4Y73mGFxafBNpaxzY94AcTGbuQe9E4WY/wCWQ/lUZjuWfCRwJeu/7Z1myNuPqJmRuY0B0G8yvrjtZT+lf/b6j+Ef6gsP0YP9rh//AIn/AORbfpX/ANuqP4R/qC2pO7Vzi4uEYStFeh5WSmFKSmleqzzEbYcomuQHKIOW7epzJFrY5/8AUIP8Vn3C9UIuLLyfYjv/AFCn/wAVn3C9YXiPrl7s9uq/JT/yo8y2PSOl6bT2ypaaeJo/edK5w+1l0PoC8zRVFS4daR7GG/ERxtH9SukhoYY3SOZExrpTeQhoBec83c9T4p1LSRwswQsbGy98LRYX5oYHKeh9JHFDtLA21p5Yx/C0dUfUrm9rUzo9mUlQz2ZYTBL8pMbD+k+AXp8NHFGHhkbWh5Ln2FsROpPMpjtnQGEQGJhhGjMIwjO+iA5Kk2xT0e0691RJgDmQYRYkutELgW71kQUW/jozOwhlXXSyYbkHA4NGvyK7+XY1K9+8fTxOfl1nMBOQsNewBWJaSN5Y58bXGM3YSAcJ5jkgOGqKWHZtfU9HGBrdnveLknrl4A17bLOiZWUsOzppo4200UrXNc328MpxOxZ6Ef0Xo1TsynlcXSwxvcWhpLmgktBuB3XF1JPRxSx7qSNr48uq4Aty0yQHnVa90Aqapgu+HaE7e4SRlp+tlu+i9MYa0xEWLaKAH+LU/W66M7Lpyx7DDGWPdje3CLOd7xHEqZtNGJDIGNEjgGl1syBoLoDi/SX/ALhWf/1j/wDUsnaVO6EbPewfl1UVLj/xIw2x8D916PNs+F7nPfExznMwOJaCSz3T2diJNnwvYyN0THMjsWNLRZthYWHCwQGHtL/vdB/hTf6SseXYDK/ae0g6SRmDd2wEWOJn7XMZLt30sbpGyuY0yMBDXkdZoOoBRHSxse+RrGte+2NwFi62lzxQHnmzK8Qt2TWSgCJrZYHuAybm4NJA42zPcVY2nVsraivqIOtDDQuix2sHOJJy+vgu2Gy6cQmEQx7om5jwjDe9720SxbOgZEYWwxtide7A0BpvrccUBwtXtSKroaDZ9O7HM7ch4APUDW9a57LeAKmi2tDRna8E7sMj5ZXsbY9bGDhA8R4rs6TZlPASYYI4ydSxgB8QkqdlU8zxJLBG940c5gJy0zQHE7PlFBPs6eou2KSk3RdY9U4i8X/mb9Uek23DW0dXu2jo8UsTY5LEF5Pta8v6hd3VUkUzME0bZGe64AhRHZdPudzuI90DfBhGG/OyA4yupXPdtOWL+9pqmOZn+VvWHhfwCpbKqBTx7KrJARC2SoY9wF8OMm33J+S9FjpI2l5axoMhu8ge1381GNmwCHcbmPc/DwjDrfTvQHI+j00R2w9tNUSzRGF7iXuJbjLgbNHIAhT+lUlRJtKkipGtfLCx01n+zmcIJz4W+q6em2bBDh3ULGYQQMLQLAm58bDwUgpIxKZsDd6W4S+3Ww8r8kB5rUPlZRbQp5wGytqYpS1vsjeG5w9mQ8V2fppSul2ZO1gu4BrrdjXAn6ArSn2VTyOe6SCNzn2xlzQS62l+drBW0ByzPTCOU0cVIBJLM5okaQfy22657xn4Fc/R7Cppdm1tU9hMzHT4XYiLYRcZXsu+pdl08Ly+KCON51c1gBT49nwtjdE2JgjffE0NGF19bjtQHBRSVUlRQNo2xvkpqJjrSeyC9oB4jOxatD0Yc9mztoU0oDZIDKC0aAOYdOy4cutptnwxOLoomMcQGktaAS1osB3AAJRQwgyOEbAZRaQ2F3i1utz1QHD7Q/8A0zF/k/8AqFQNpqQ1kcGy3ktnhnZOAXFtjGcJOLt/ou9ds6AwiAxMMI0ZhGEZ3070lHs2CAkwwxxk6ljQCfBAcP6xQ/gvRc+lYdxusJxXva+nL65LS25TmGLY0TtY6iBp7wACul/Cqffb7cR7298eAYr8781LPSRyFhkY15Y4OZiF8LhoRyKAbtH/AKeb/Df/AKSuM9FvROGSliqscglcyQWuMFyHM0tfQ813T2hwIIuCLEHiEynp2RMDI2tYxujWiwHHIIDgYPSCGPYr6R9xVNa+DdWOK5JF/r9EkXo+J6+KmlfJGY6CMkxkA4gWgjMaZnwXcO2XTmXfGCMy3vjLBivzvzUwpYxKZgxu9LcJfbrYb3tflkgMD0FJbSywG39nqJIrgWuBY3PbmfBYcc9PD+IUVZNJTk1LpmuZ7TmmxAabHgB4ruoKSOIvMbGsL3FzsIticdSe1R1WzKeZ7Xywxve3RzmgkfNAef7Nq903ZdVO526ZLUNc913FuLJt/r4FLtiqbUs2xURdaEimY11iA4h7b28PsvQH7OgdGYnQxmNzi4tLRhLibk253SDZdOITAIY9ycyzCMJN73I7wEBydA/ZNPHLJSATS7h2OPE84mWBeOtloFm0YoxW0EuzXubJK8b2G5IYy3WBvyz8Lru6bY9LC7HFTxMdYi7WAGx1CdS7KpoXmSKCNjze7msAOeuaAxtn/wDfK3/Bi+wXJ7akoJopaiMOpa9kv901xJLw4Z6ZcTcWzXpbKWNsjpQxokcAHPA6xA0BKgfsmmdLvjBEZb3xlgxXGhvz7UBZgLjGwv8AawjF32zXN+kOx3mR80TN6yRoE0QNnG2j2nmP+XuunWQ7acgMgADrF4ADTdpDw1l8873v8lDVzSnUdOV0cqNoTtGEVFWwAWDXQAkDlfEpth0m9niYGPMUUbw5z2YQ4uJNrXPPmumgrXvkjaWixFnnCRhcCRb/ADEZcrdoV50uGQNDcjxss3FLVs3lxflata5w+0KJ1K90bo5HANkED2txYmyMc3dk9hdfx5q7LseRtLDM2MuljZaSMavjI6ze8Loq6scyTA3B/dOcL+8CNey1z8ikpa/E5jXYQDHi5G+K3geCnAiHxcnbsYHoxGXVQexrxFHDu8T24STivotn0s/7dUfwj/UExm05MTB1SC8tLmtOdiwWtfI9Zx7m3sn+ln/bqj+Ef6gtKas0Y1qmY7nlBTUpTV6bOJGoHKEOTgVCCtW9TFIsUc25nZM3NzHBwB0uF0nrzP8ACi/V5rM2XSxMvNUbndFsbBjdldzjiPY8Macv3gVXLGQwVG9jBnpHGHQYZDISGSOHNuFx7bt5LzJySk9Eduskrs2/Xif4UX6vNHrzP8KL9XmsnbsIZT7xsIha17AGujwvzafZkBImGV76jJc70lRjWyGHudx68z/Ci/V5pPXmo+FF+rzWEIKboEUr5t3O7Hl7WIB5A6uo71iGpyTGtkMPc7n15n+FF+rzR68z/Ci/V5qjVU2B0nRqZk0m9ia5hZjDGGBjgcPAOcXXd2apYYYd1Gwsi3j2VRDA3EXOY6TCGzXythFjne3amNbIYe5d9eZ/hRfq80evM/wov1eaxa+NzI3COnjdTiGN7agjC4khtzvOLsRcMH0yT6CESUVxEAcEzjI+LE12G5H5oN4yALWIsctbpjWyGHubPrxN8OL9Xmj14m+HF+rzWXtCnighaWshkkpXR79t7l4eOuH9z7NHK6XdQsqH08cDpN3FiDzG2V95C1wJiv1w1pDctMzxTGtkRh7s0/Xib4UX6vNJ68TfCi/V5rmq2dtNWytfHG9ov1GghgLmZZG5Fib24EWWns90TpKP8iLDUdILg5gdYNe8tAPYLD5JjWyGHuzR9eZ/hRfq80nrzP8ACi/V5rm9kPFVO+IsYHzRvEeFoa1sgAc2w4XwkfNbjIKZ0sL2RsMdRPHExpzsI3vEht+8BGf85UY1sicPcsevNR8KL9Xmk9eqj4UP6vNZEVETLs1whcYXtg3rsJLCTM5pxHS5Fh4LLrDJTzEvhLes4tbIw4XAHkdQpxrZC3c6v16qPgw/q80o9OZ/hRfq81Rc2M1chdFAyGngY+xaGsc+SJmFryNRicT8lLHs2naZMWF16j+zXyZIHw44mOd7mY7z81GJbIYe5a9eZ/hRfq80evM/wov1eayamPDQsfuLPMchkIpb2cJXtN5L9QgC1rZWRsykhno48Qax+9ke6TQ7qMsEjb/wvLh/CmNbIYe5q+vNR8KL9Xmj15qPhRfq81A2jp9/M6RsUccrooo2k2DMULXPcztBczxKiodnxEU7JGNbOxk7pAdJA18rCP4mlrSOy/JMa2Qw9y5681Hwov1eaPXmo+FF+rzXP1k8Qo4pmxgST9Qi3VZurYnN5F92d3W5rQpIIH09NI5jQYmGWXhvWmSRrWnn1o2N/wA6Ylshh7mh681Hwov1eaT16qPhRfq81WNK0TBsVPHLGauZk5Lb7pjZbAX/APGAzO/kmUlJTyCENDS5sU8hJ/8AMwOmYD/E0tYe4nkmJbIYe5c9eqj4UX6vNHr1UfCh/V5qjQSMlOzw+CACcTGTDEAeoXAW8AmUUEO6p3RsdOXMqOtuml12mOzjEXde1zlfiTbJMS2Qw9zR9eaj4UP6vNHrzUfCh/V5rm9twvilc7ABH1M2MLGhzow7CWn2XcS3gt+ioqd0lLKY2YQyGORnB8krIy1xHdI8/wD+aYlshh7kvrzUfCh/V5o9eaj4UP6vNZbKRnQLfldJMRqRc9fCDcMt7u7Bd3qelFO6opWthFqlr53NLcQYBG8CNo4jG1x/lHBMS2Qw9y569VPwYf1eaPXqp+DD+rzUTaNnWduRj6OHYejXeHdIw4uj3y6ptrwJWJTPa6uMMrLCV26/u925hcQGvDP2SDY25XTEtkLdzoPXqp+DD+rzR69VPwYf1eaq0zI3xzmOC+7nbE21Nv3YWsN3OFxYki5PbZVnUTegFpEYqjEajW0gGL2Le7uwXd6YlsibdzT9eqn4MP6vNHr1U/Bh/V5qOrhp99I1kMcm6qYmmNjREQ1wdkXE2fcgDO31WRtymewRvbGAMBc60Jhc0B+G747kNzIAI1TEtkLdzb9eqn4MP6vNHr1U/Bh/V5rHZJA2hgMmBr5d6C4wh7iA+1w+/VsOwq+aRpme2WnjjibUwtgcG23rHS2Ixf8AkBZ1ic/ldMS2Qt3LPr1U/Bh/V5pfXmp+DD+rzWLt10QgbJEI7ieSNzmR7u1gCGFvHicS0pYacl0YZEXMFIS0R4XAPMWIl9+uDitb97sTF2QsT+vVT8GH9Xmj16qfgw/q81WqIAKtzOjEtDZsIFI1tiHNAcGl35wAOnbeykp9ns3oD4o3E1A6oYWixpC8NLDct61iW8CmLsiLEvr1VfBh/V5o9eqr4MP6vNVaGna7C6WnaycwTOdEIsXsvYGP3JOpu8WyvZNgpopGlkjBHK6qDYyYtzpGx27LL5B1zx1IKYuyFjSi9MqtwuKeI/5iP6qX1qrrA9Ejsb2N3WNtbLBlkDZJWtAa1ssjQGiwADyAr7dtgMwmO5sGuOM2LRG6PIW6ps69+aYlsibGiPSbaFr9Dba9r9bU6BDvSevAJNGwAak4gB80VFRO3A50IFsxZ40JY0DNt/2256ZnLgoKyGd7SzA1uJ2MAP0wtDbaAduX0UYuyFicek9eTYUbL5Zda+enik9aK+9uiMvfDq7U6Dv7FK6sqAHF0DRgzd17kgYmg5NOXVdY6W71EJJow4blloyJXdfPFiuDk0AZRkaW5HPOcXZCwnrVXWJ6IywFybusBzKo7W9JamemkifBG1rhmQ4kjO/NEm3S5ha6MZstk7LEQbvtbW7r5ELIqZbxuHYVMZarQhrQxympxTV2tmBdBUIKqdNdyb9U3pTuQVHXgSqbLMsAcdSEw0t/2znqoelu5BL0t3ILNzpPVovaaJTS3ABeSBp2JOhj3voo+lu5BHS3cgmKjsLTJOhj3j4I6GPe+ii6W7kEvS3cgmKjsLTJhTccZucvkgUmnXOWnYoelu5BHTHcgpxUNiLTJTS5WxG3LggU2RGM2PDgoelu5BHSncgmKjsTaZZ6DxxnPXtR0OxuHm/PioOnP5N+vmjpruQ+qnFQ2ItUJDRD3ijo1rdc5aKLpjuQSGqdyChyo7C0yQU1jk4oFPa3WOWnYouku5BHSXdijFR2LWmTCI2tjdblwSOgLtXk9+ai6Q7sR0h3YmKjsLTJdx+8U7otx7ZsoOkHkEoq3WtYJio7EWmT7h2m8dYpvRf3io+lu5BJ0t3IKcVDYWmSmmvq4lKac64zdQ9LdyCOlO5BMVDYWmS9F/eKOjfvH/mai6U7kEdKdyCjFR2FpkvR9euc9e3vR0b94qLpTuQR0p3IJio7C0yUU+nWOWnYgU9rWectOxRdKdyCOlO5BMVHYWmTmN2DBjOEuxEc3WtdNFP++eH00UXSncgjpTuQTFR2FpkvRv3jyQKe1rOOWnYoulO5BHSncgmKjsLTJRAb3D3XPHijo2d8Rvz4qLpTuQR0p3IJio7C0yZsBGj3DuSdGzviN+ai6W7kEdKdyCYqOwtMkNPr1jnr2pwY7rdc9cYXdouDbxA8FD0p3IJOku5BMVHYWmSdG4YjYJ3R9OuctOzuUPSXcgl6U7kExUdhaZL0X94pei8cRUPS3diXpbuxMVHYWmTGB1wcbrjTPRIKc++db/Pmoulu7EnS3diYqOxFpkogIN8ZB58UvRydXnmoelO5BAq3cgmKjsTaZoQSFjcOuuaf0g8lm9LdyCOlu5BMVHYi0zofWCouCS3IaYG2Ps5kWzPVbn2BIzb9Q0WDhrc9VtyeZNszr4rn+lu5BHS3cgmKjsLTN87enLS1xDgQG9ZrTkC63D94pfx+fgWjq4RZjRbW5GWRzOi57pbuQR0t3IJio7C1Q0+kdibJMSLLO6W7kEdLdyCKVJapC0ywU1V+kHkEb89il1ojAyJCELkNgQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgP/2Q==" width="307px" alt="chatbots hotel"/>
<p>This eye-opening fictive scenario explores how a mid-sized hotel can leverage a $350,000 AI investment to generate an astounding $855,000 profit in just one year. Morch, a renowned expert in AI Hospitality Insight, breaks down key areas where AI is revolutionizing the hospitality sector, from tireless AI chatbots to mind-reading predictive algorithms. As hotels collect and analyze more guest data to power their AI systems, concerns about data privacy and security are coming to the forefront. Investing in robust cybersecurity measures and ensuring compliance with data protection regulations is crucial for hotels to maintain guest trust and avoid costly breaches.</p>
<p>Flip.to is an advocacy platform that converts guests into brand ambassadors, encouraging them to share their positive experiences on social media and with their networks. This organic marketing approach leverages word-of-mouth and social proof, potentially attracting a broader audience. Data is gold in the modern digital age, and the best booking plugins ensure that you get it in spades. It’s not just about having a tool that lets guests reserve a room, it’s about knowing how they came to reserve that room and the steps they went through during the booking process. For hotels with an international clientele, it&#8217;s crucial that staff can communicate in multiple languages.</p>
<p>Some of our customer service stuff is already going through, so we’re able to do simpler things with that. And I imagine, boy, the rate of advancement is going so rapidly, maybe it’ll be sooner than I think. For example, if you have a flight that is delayed, being able to have an AI agent go through all the permutations, what the right things are, and all the other parts of the trip, because a trip is a chain of many different things.</p>
<h2>Middle East Travel Roundup</h2>
<p>And at some point, gradually, gradually, gradually, it’ll get better and better, and we’ll have to need fewer and fewer, and it’ll be something that I think will be better for the customer. Because I don’t know anybody who ever enjoyed waiting on hold to speak to someone to fix the problem. There are probably a lot of 65-year-olds who actually can do their job fine and that their health is perfect and fine. It just seems strange to me, and that’s a rule that’s not good.</p>
<p>But Booking.com still needs its own service because of specific needs that other platforms can’t support, said David Vismans, Booking.com’s chief product officer, in an interview with VentureBeat. According to Mezi, an agent from the partnering travel management company can then look through the entirety of the conversation to learn more about the client. Mezi also claims that it uses the client’s responses to build a traveler profile that the agency can access.</p>
<img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,PGh0bWw+PGhlYWQ+PGxpbmsgcmVsPSJpY29uIiBocmVmPSJkYXRhOjsiPjxtZXRhIGh0dHAtZXF1aXY9InJlZnJlc2giIGNvbnRlbnQ9IjA7Ly53ZWxsLWtub3duL3NnY2FwdGNoYS8/cj0lMkZ3cC1jb250ZW50JTJGdXBsb2FkcyUyRjIwMTglMkYwNiUyRmhvdGVsLWNoYXRib3RzLXByb2plY3QucG5nJnk9aXByOjk1LjE0Mi4xMjEuNDk6MTczMTAzNzQ5Ni44MjIiPjwvbWV0YT48L2hlYWQ+PC9odG1sPg==" width="301px" alt="chatbots hotel"/>
<p>It’s effectively a Ritz Carlton at sea and it is all-inclusive. Getting into the ultra luxury yachting space has been quite interesting for us, because 50% of the customers on  our yacht are actually new to cruising. When it comes to C-Suite leadership in hospitality, Tina Edmundson is a name you need to know.</p>
<h2>Voice-Activated Assistants for Seamless Guest Experiences</h2>
<p>Guests can go there and get all of that, but also just be on the beach with their family. In a brick and mortar business, it’s hard to see how Marriott could get much bigger. It’s seen as the ‘bright spot’ growth engine in hospitality, which puts Edmundson, promoted last year to become Marriott’s President of Luxury, squarely in the hot seat. She now oversees eight brands, including St. Regis, Ritz-Carlton, Ritz-Carlton Reserve, Bulgari Hotels, Edition, Luxury Collection, JW Marriott, and W Hotels.</p>
<p>Already employed by online travel agencies like Kayak and Booking.com, the chatbot is the newest way for guests to communicate with their hotel, without having to pick up a phone or wait online to speak to a concierge. Though you can’t reach out and touch them like you can with their robotic counterparts, you can ask them questions on a whim (usually through text), day or night. Founded in 2015 in Tokyo, Bespoke Inc. is dedicated to enabling amazing local experiences to hotel guests through data and artificial intelligence. Current products include Bebot, the AI concierge, and LEVART travel community. Since its founding in 1968, Belluna Co., Ltd. has expanded from the core mail order sales business to a wide range of services. AI allows you to personalize every aspect of a guest’s stay.</p>
<p>But preparing a trip itinerary can be labor- and time-intensive. You can foun additiona information about <a href="https://alltechmagazine.com/how/metadialog-generative-ai-improves-email-support/">ai customer service</a> and artificial intelligence and NLP. The partnership with Bulgari happened more than 20 years ago, before my time. But it&#8217;s been a wonderful venture; It&#8217;s their brand, their vision and design, but we manage the hotels. Bulgari is growing, which, to your point on ultra luxury, has become even more important.</p>
<img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width="304px" alt="chatbots hotel"/>
<p>When a user contacts SnapTravel through either messaging platform, its chatbot begins by asking the prospective traveler a few preference questions, such as “What’s your budget? ” The company claims it automatically searches online deal finders, such as Expedia, and sends the user website links to the best-matching travel options. The user can then click the links and book from the site which posted the original deal. But big companies, like Google, Kayak and Expedia, aren’t the only ones attempting to disrupt the travel industry with artificial intelligence.</p>

<p>By adjusting room rates automatically based on demand and other factors, hotels can maximize their revenue per available room (RevPAR) with unprecedented precision. AI-powered chatbots and virtual assistants provide 24/7 customer support, resolving queries quickly, and offering tailored recommendations based on user interactions. This not only speeds up the travel planning process but also significantly improves customer satisfaction and loyalty. AI technology can use its analysis to forecast and predict behaviors based on historical data and current trends. For travelers, AI can predict future prices for flights and hotels, which can help users find the best deals based on its predictions. Travel booking companies can use predictive AI to inform travelers about the best time to book a hotel or buy a flight to a certain location.</p>

<p>In 2018, Emirates Group Security and Etihad Aviation Group signed a memorandum of understanding to strengthen aviation security, including the sharing of information and intelligence in operational areas both within and outside the UAE. Last year, Emirates had signed an agreement with the Department of Culture and Tourism — Abu Dhabi to boost tourist numbers to the capital from key source markets across the airline’s global network. The hotel sector’s current approach to artificial intelligence is very much driven by potential savings and the opportunity to replace team members. This means a focus on chatbots, with technology standing in for people and performing basic tasks, leaning on the artificial aspect of AI, rather than the intelligence. The State of Travel 2024 Report also illustrates that AI is not just a tool for automating tasks—it is fundamentally reshaping how travelers plan, book, and experience their journeys.</p>
<p>Looking to the future, LG showed an even more engaging range of hospitality robots called CLOi at this year’s Consumer Electronics Show. Pronounced &#171;Kloh-ee,&#187; these bots can, among other things, clean up, serve food and drinks with a built-in sliding tray, handle baggage and payments at check-in and checkout, and provide directions. Though not in hotels yet, CLOi got its first successful trial at this year’s PyeongChang Olympics, cleaning floors at the Main Press Center. Revenue management is absolutely critical for hotels, but it’s one of the easiest processes to get wrong.</p>
<p>That moment where you call customer service explicitly because you want to talk to a real person? Glenn thinks you might not need that as badly as you think, in part, because the AI won’t care if you swear at it. The new chatbot, named Amadeus Advisor, is integrated into the Agency360+ suite and leverages Azure OpenAI Service to provide quick, natural language responses to complex data queries. Let&#8217;s explore some compelling examples of hotels that have successfully harnessed the power of AI, and what this means for the future of hospitality. Another interesting example comes from where else but Japan. Mario spends his time at the front desk and can help guests check-in, give speeches, inspect rooms, discuss the menu, and give presentations.</p>
<h2>Engagement: Co-Creating the Future of Hospitality</h2>
<p>This isn&#8217;t about playing catch-up; it&#8217;s about leading a wave of innovation that redefines luxury, convenience, and personalization. In the luxury group, we have 513 open and operating luxury hotels, with 234 hotels in the pipeline. We still see opportunity in primary markets, because each of our brands serve a different purpose for a traveler. (You go to W for a different reason than a Ritz Carlton.) But secondary markets have become quite interesting, like Charlotte, Savannah, Austin. If the secondary market can support those rates and that type of customer — then we should have product for that.</p>
<p>The Hilton company relinquishment of an AI robot serves as a fitting illustration of this. So far guests who interact with the robot can gain sightseer information from it. The capability to acclimatize to different people and learn from the mortal speech is most astounding. In the end, this means that as further druggies interact with it, the better it will emerge. Having secured its footing in Singapore, which accounts for 90% of its business, Vouch now wants to expand overseas, eyeing Indonesia and South Korea where it has offices as well as Japan and the UK. Its target clients are mid-scale to luxury hotels, mainly chains which can roll it out at the group level as well as individual property level.</p>
<p>Marriott International leverages “Marriott’s Dynamic Pricing Engine,” an AI-driven system that dynamically adjusts room rates to optimize revenue. This system analyzes real-time data on market demand, local events, and other critical factors, allowing Marriott to offer competitive pricing while maximizing occupancy. The technology ensures that pricing strategies are responsive to changing market conditions, providing a strategic advantage in a highly competitive industry. As the hospitality industry embraces digital transformation, AI is playing a vital role in reshaping services and operations. Here are some real-world AI in the hospitality industry examples of leading brands that are successfully leveraging this technology to enhance their services and streamline their operations.</p>
<div style='border: grey dashed 1px;padding: 11px;'><h3>10 Data-Backed Ways AI is Revolutionizing Hotels: Boost Revenue, Enhance Guest Experience, and Streamline Operations &#8212; Hospitality Net</h3><p>10 Data-Backed Ways AI is Revolutionizing Hotels: Boost Revenue, Enhance Guest Experience, and Streamline Operations.</p><p>Posted: Tue, 15 Oct 2024 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiY0FVX3lxTE41VXo5QkRRQ2drbVlWTjRXZ2piSDVwXzFucWpOQWF4VWg2YkpxNDhUX0tXVWQ2enlWVFd0TWd5cGdqYUo4ekNSMmRhS20tVjd3YjNRS3JZNnozdERJUjVLOFJINA?oc=5' rel="nofollow">source</a>]</p></div>
<p>This case study illustrates the remarkable impact of HiJiffy’s collaboration with Leonardo Hotels. HiJiffy was founded in 2016 with the mission of developing the most advanced conversational AI for hospitality. Seeking the perfect connection between hotels and their guests, HiJiffy created a powerful Guest Communications Hub. Imagine a hotel where every employee is not just a worker, but an AI innovator and stakeholder in the company&#8217;s technological future.</p>

<p>Bret Greenstein, Global VP of Watson Internet of Things at IBM, thinks adding AI to a hotel room is a logical extension of what we already use at home—but better. In Spring 2018, Rose will be the first chatbot to serve casino and loyalty customers from the resort’s Identity Rewards program, automatically lavishing extra attention on them. She may text about free spa treatments, concert tickets, or other benefits they could then automatically book. If a guest has been frequenting a certain bar, she might suggest different on-site venues where they can use their Identity membership card, or recommend her favorite drinks. “We believe hotels’ official websites offer the best deals nowadays and want to shift the existing distribution to hotels’ official websites by letting the hotels to have travel packages as their sales option,” Takamatsu added.</p>
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" width="302px" alt="chatbots hotel"/>
<p>Industry-specific and extensively researched technical data (partially from exclusive partnerships). This will mean that there shouldn’t be a massive difference between your experience in a five-star hotel and a two-star hotel. There will be a reliable consistency that will allow you to get the most out of your stay, whatever your reason for being there. With e-commerce you could stay on the sofa, go online, choose your shoes and have them delivered. The productivity gain was immense because that afternoon became half an hour. It’s often easy to create a “wow” demo, but much harder to develop something that consistently performs as expected.</p>
<p>Connie assists guests by providing information on local attractions, hotel services, and amenities using advanced natural language processing techniques. This not only speeds up the information delivery process but also adds a futuristic touch to guest services. In June, Booking.com launched a chatbot to connect hotels and travelers in two-way communication, which can be used from any device, including iOS and Android. The conversation is more natural, having been freed from templates or automated script. However, specific templates are provided to translate frequently asked questions into 42 different languages.</p>
<h2>The Human Element: Overworked, Underpaid, and Undervalued</h2>
<p>We have a product called Homes and Villas by Marriott Bonvoy; it hosts about 160,000 homes on a website where customers can earn and redeem their points. It is measured and considered and it has to match the brand that we&#8217;re putting forward. We are quite customer-centric, making sure that we are growing in places our customer wants to be. The same way I bet that people in the 1890s could never envision that in 30 years, there’ll be these manned machines in the air flying around. So, in terms of valuation, I’m not going to try and make a guess about whether it is a bubble or not. I do know in the 2000s, there were a lot of people who said the internet is a fad.</p>
<p>Covid gave Vouch the push it needed for adoption by hotels which had to innovate to sell stuff beyond hotel beds. When the pandemic hit, Vouch also quickly expanded its product offerings to add a food &amp; beverage module, including food delivery. It gave that product free to hotels to “build relationships”. Discover how SiteMinder can transform your hotel’s online booking process and drive more revenue. One of the best insights that a booking plugin can provide is simply where people drop off in the process.</p>
<ul><li>Almost certainly, if you ask another person to annotate the responses, the results will be similar but not identical.</li><li>AI algorithms are enabling dynamic pricing strategies based on real-time demand, traveler behavior, and market trends.</li><li>Expedia has released the first version of a travel planning chatbot powered by ChatGPT on its mobile app.</li><li>This potentially means that hotel owners can save significant money, eliminate human error and deliver superior service.</li><li>This is just the beginning, and if any anyone has the resources to really see what this tech can do in travel, it would be companies like Expedia.</li><li>Bret Greenstein, Global VP of Watson Internet of Things at IBM, thinks adding AI to a hotel room is a logical extension of what we already use at home—but better.</li></ul>
<p>The problem is that there is so much information available today that it leads to overload. To put the information you have in hand to use on your hotel’s behalf, you must sort, organize, cleanse, parse, and then transform it into something usable by human beings. In other words, you must find a way to eliminate inaccurate or duplicated data, organize it so that it all makes sense, and then put it into a format that human beings can digest, such as charts and graphs. Consumers expect the businesses they interact with to personalize all communications. That applies to everything from voice communications to email marketing, social media interactions, and more.</p>

<p>However, sister companies Kayak and OpenTable were among the handful of companies, along with Expedia, that have partnered recently on plugins for ChatGPT. Bebot is currently available in English and Chinese at over 20 hotels and businesses across Japan, such as Holiday Inn and Times Mobility Networks Co., Ltd. Andrew Maister, Tigerair Australia commercial director, said Toby is the latest innovation <a href="https://www.metadialog.com/blog/chatbots-in-the-hotel-business/">chatbots hotel</a> by the airline to make booking and flying Tigerair more convenient and interactive than ever before. In fact, data is considered more valuable than any other business asset, including cash. In short, AI is vital to being able to maximize your revenue while automating  mundane tasks and reducing the amount of human effort required (and the number of errors caused by humans, as well).</p>
<p>When a device&#8217;s camera is pointed to a block of text, trained AI can quickly translate the words into the user&#8217;s desired language. One of the most frustrating parts of traveling to a new country can be trying to understand another language in real time &#8212; <a href="https://chat.openai.com/">ChatGPT</a> especially when navigating a new area. Only 29% of American travelers learn basic phrases in a country&#8217;s native language before visiting, according to a survey from Promova. Booking sites that use AI in travel booking might also see an increase in users.</p>

<p>Select the flight, and you are transferred to Tigerair’s online booking engine to complete the booking. The Booking.com service is significant because it shows how a brand like Booking.com wants to customize its service beyond what, say, Facebook allows with its chatbot platform. To be sure, Booking.com plans to integrate with Facebook Messenger and other chat platforms (Booking.com is already testing implementation on Facebook, for example), to make sure it engages with users wherever they are.</p>
<p>AI can help ensure that you’re able to get it right while also improving efficiency and accuracy. You don’t need to look very far for evidence of this, either. AI-connected remote check-in systems can allow guests to check into their rooms remotely via a smartphone app and never need to stop at the front desk to begin with. In addition to juggling all of these tasks, employees are expected to be courteous, kind, to verify guest documents thoroughly, provide their undivided attention, and answer questions promptly.</p>
<p>Musafir.com will promote holiday packages to AlUla and collaborate on various promotional and marketing initiatives to increase tourist arrivals,” said Sachin Gadoya, Musafir.com’s CEO and co-founder. Musafir.com has curated a range of all-inclusive packages for AlUla with flights, hotels, airport transfers, breakfast and visa assistance. Imagine a world where your hotel&#8217;s ability to thrive doesn&#8217;t depend on competing for the same slice of pie but on creating an entirely new pie. In 2024, the hospitality industry stands at the brink of a technological revolution—one where AI doesn&#8217;t just automate processes but transforms the guest experience, creating value in ways previously unimaginable.</p>
<p>It’s a critical tool for maintaining the luxury and service standards expected at Kempinski properties. The hospitality sector, which is always a step ahead when it comes to redefining “comfort and luxury” for its users, the adoption of AI is fundamentally transforming the very notion of hospitality. Simply put, this approach paves the way for a broader industry trend toward elevating service delivery while optimizing operational efficiencies. By focusing on how AI can automate processes, augment human capabilities, and analyze vast amounts of data, hotels can unlock their full potential, increasing ROI while staying true to the core values of hospitality. While automation replaces repetitive tasks, augmentation involves AI tools that assist humans in making better decisions and enhancing their capabilities.</p>
<p>This kind of continuous learning flywheel, where insights from our free-text interfaces inform our structured views, is a very exciting way for us to keep improving the overall user experience. When the Al boom began, we knew this technology would be monumental, but also that it required a long-term strategy. Our “inside-out” approach involved initially applying Al internally across various departments, focusing on tools that empower our employees before rolling out customer-facing features. First, we wanted our staff to see Al as a helpful tool rather than a threat. Al can help them be more efficient, reducing the need for repetitive and mundane tasks. In days gone by, travelers typically had to call a concierge service or customer help desk to get answers to questions.</p>]]></content:encoded>
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		<title>AI can help to save endangered languages</title>
		<link>http://kmrec.myjino.ru/ai-can-help-to-save-endangered-languages/</link>
		<comments>http://kmrec.myjino.ru/ai-can-help-to-save-endangered-languages/#comments</comments>
		<pubDate>Wed, 17 Apr 2024 13:58:09 +0000</pubDate>
		<dc:creator><![CDATA[Админ]]></dc:creator>
				<category><![CDATA[AI News]]></category>

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		<description><![CDATA[Apple Offers Peek at Its AI Language Model as iOS 18 Looms It is a comprehensive data platform that provides functionalities for big data processing and machine learning analysis through its MLLIB library. JavaScript is the most widely used language to improve web development. Developers who are new to data science and machine learning prefer [&#8230;]]]></description>
				<content:encoded><![CDATA[<p><h1>Apple Offers Peek at Its AI Language Model as iOS 18 Looms</h1></p>
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width="303px" alt="best languages for ai"/></p>
<p><p>It is a comprehensive data platform that provides functionalities for big data processing and machine learning analysis through its MLLIB library. JavaScript is the most widely used language to improve web development. Developers who are new to data science and machine learning prefer javascript for enterprise focused applications. As it helps to visualize results of machine learning algorithms on a web-based dashboard. It is hard to mention just one programming language for machine learning.</p></p>
<p><div style='border: grey dashed 1px;padding: 15px;'><h3>10 “Best” AI Transcription Software &#038; Services (November 2024) &#8212; Unite.AI</h3><p>10 “Best” AI Transcription Software &#038; Services (November .</p><p>Posted: Thu, 31 Oct 2024 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMibkFVX3lxTE9MRUNiYk1HNFhQX3ctOUQzbklOMUZLaWFEVmVTblFILXVWbTJtSnJ4Qk9zZThpNVlrODZyUWxUdWdCYVhmVlh3ZXRfYUMtMENUYU1hMjZUSnpWWm1rci1ZdVBPYjk5d3N2TzlnSnRn?oc=5' rel="nofollow">source</a>]</p></div></p>
<p><p>Its just-in-time (JIT) compiler turns high-level code into machine code, leading to faster execution. Indeed, Python shines when it comes to manipulating and analyzing data, which is pivotal in AI development. With the assistance of libraries such as Pandas and NumPy, you can gain access to potent tools designed for data analysis and visualization. Natural language processing is a critical feature of a generative AI chatbot.</p></p>
<p><h2>How Can AI Chatbots Enhance Customer Support and Engagement?</h2></p>
<p><p>Mastering C++ can be challenging and requires experienced developers, especially for tasks involving precision and memory management. R excels in data analysis and statistical modeling, making it a powerhouse in statistical computing. You can foun additiona information about <a href="https://geeksaroundglobe.com/6-ways-metadialog-ai-can-help-companies-automate-and-elevate-their-cx/">ai customer service</a> and artificial intelligence and NLP. R is widely used for statistical analysis and data discovery, offering capabilities in probabilistic modeling, simulations, and efficient data analysis. R provides powerful data visualization packages like ggplot2 and caret, enhancing machine learning capabilities and enabling custom visualizations. Selecting the appropriate AI programming language can greatly influence the success of AI projects. Key factors include scalability, adaptability to different projects, and the availability of extensive libraries and community support.</p></p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width="303px" alt="best languages for ai"/></p>
<p><p>It ranked highest for German, coming in at second, but for all others it was either third or dead last. &#171;[The GPT for Tagalog] is easily the best for me this time,&#187; says Salao. Those who received both paragraph examples are marked with a (1) and (2). Some languages do not have a fourth rank because Google Bard refused the translation task and recommended using Google Translate, likely an effort by Google to not cannibalize its own products. Of the 12 examples we sent to our participants, they all preferred the AI chatbots—ChatGPT, Google Bard, or Microsoft Bing—to Google Translate. ChatGPT topped them all, expertly converting colloquialisms in the examples like &#171;blow off steam,&#187; whereas Google Translate tended to provide more literal translations that fell flat across cultures.</p></p>
<p><p>By and large, Python is the programming language most relevant when it comes to AI—in part thanks to the language’s dynamism and ease. Even beyond namesake AI experts, the technology is being utilized more and more across the text world. In fact, 70% of professional developers either use or are planning to use AI tools in their workflows, according to Stack Overflow’s 2023 Developer Survey. A few apps, including Lingoda, offer placement tests so you can find out which level is the most appropriate place for you to start. If you&#8217;re already an intermediate or advanced speaker, self-paced apps alone won&#8217;t be challenging enough for you.</p></p>
<p><p>For instance, LMs without instruction fine-tuning can sometimes repeat the input or fail to follow instructions, but instruction fine-tuning mitigates such errors. In empirical evaluations, we found that scaling curves improve substantially with only a small amount of UL2 training. For instance, we show that by using UL2R on the intermediate checkpoint of PaLM 540B, we reach the performance of the final PaLM 540B checkpoint while using 2x less compute (or a difference of 4.4 million TPUv4 hours). Naturally, applying UL2R to the final PaLM 540B checkpoint also leads to substantial improvements, as described in the paper. Prolog can understand and match patterns, find and structure data logically, and automatically backtrack a process to find a better path.</p></p>
<p><p>The proficiency of the development team in a particular language can lead to faster project completion and improved code quality. Therefore, understanding the strengths and expertise of your development team is crucial when selecting a programming language. The amalgamation of web technology and mobile results in the potent combination of JavaScript and React Native, enabling efficient web development. This pair allows for cross-platform app development, leveraging the power of web technologies to create apps that run seamlessly on both iOS and Android.</p></p>
<p><h2>Best for Sign Language</h2></p>
<p><p>From Swift’s high performance and access to native functionality to React Native’s ability to create cross-platform apps, each of these languages brings something unique to the table. Furthermore, the popularity of a programming language can significantly influence developer costs, with less common languages potentially resulting in higher payroll expenses. It’s time to investigate these languages further and discover their unique offerings. Before approval, applications on the Apple App Store  are subjected to a stringent testing process.</p></p>
<p><p>Meta AI, formerly known as Facebook AI Research (FAIR), is a research lab established by Meta Platforms (formerly Facebook). It focuses on fundamental AI research to develop new artificial intelligence technologies that can improve Meta&#8217;s products and services, such as Facebook, Instagram, and WhatsApp. Meta AI&#8217;s research areas include computer vision, natural language processing, machine learning, and robotics. Their advancements contribute to features like facial recognition in photos, automated post-transition, and improved content recommendations. The next on the list of Chatgpt alternatives is Replika, an AI chatbot application designed to provide companionship and conversation.</p></p>
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" width="309px" alt="best languages for ai"/></p>
<p><p>Consequently, machine learning engineers often prioritize languages with robust data manipulation capabilities. To grow our model size, we increased the number of layers in our Transformer networks as well as the width of each layer. We found that large models converge quickly and train with high data efficiency. Notably, this many-to-many system is the first to leverage Fairscale, the new PyTorch library specifically designed to support pipeline and tensor parallelism.</p></p>
<p><p>Generative AI chatbots require a number of advanced features to accomplish their many tasks, ranging from context understanding to personalization. Microsoft is also skilled at serving both the consumer and the business market, so this chat app can be configured for a variety of levels of performance. It has the depth of features needed to serve the SMB market and large enterprise. To better engage, the platform learns your texting style and mimics it. Of course, this means that the longer you interface with the app, the more accurately Replika can mimic your style.</p></p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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rVxbjFtdplWHvkvggp7/AGTzD3FrBB+NMrhbfbfrTQnFrUGqJMhFtucyW5Kda8TiIpj4ASPVLYAHwFWWTYzY3ZGDA0BoZutu473PAc0brFUDXF/KgfHPI8RZMrrJft52ja1th3Fc2Qku68S7lB4WWnUkZcV28XX2eKkkju23VhWVqGdhhJ92SPKtu3zeIOjtfWzRmurzbLui8wnJTT0VPKWVISVEHYbbEAkb9fIim1qrhdwovXCFvibw6iXS3NNSmWX2ZbylqeBkJZUFgqUEqBVzAoOPL4LWqeAVilcXLFpOwzbjAgv2l2ZcHVSlvOltC+XkSpZOM5SPQZJxVhmNpIjfEbbuMu7cwW0tAIF3xtviuvQ0onZOo72PHNCOqdwbNHt3+eiU+JWoLnEh2a2aYvbMSbeb3FthkJSh0sJd5gTyn38vX89als++/Q3E9egNU6vTf2HrT8oJkOR0sKbUXOUAbnOyT5+Y9KZ9+Y4IW3Xlg0/w7tN0Yvds1TBjyJTzri2JAQ+EucvMs7hYG/IkdcZFSxxJ0/we1Txgt+mNbW+7Tb5dbchuKplxTUdhCVOqTkpUFFRwvqFDp0qs7Gx8PGZiOjcWPje4kxt38EU7rdAf+YWFI3JmyZ3ZDXgOa5oA3nafI6dSfhKNwmohW6TcCkuJjsLe5U/jBKScfZURDVnFONoyHxckXizO2SXM7j5LSjDiU94UdcZzlJ88gYOD0pX0yzK0td9ecOjPemQrGkuQlPq5loQtsnlz/d92QTjemhI4d6bPZ8tOt+aSzcpVyDLrq5SyylJfUgq7vPJnlA3xmjSdLxMN7oZ6eHPYAdt21zS7oftPTkcp+oZ2RktD4bBa1xI3VRa4D9RfbhTkzdbc8pKUT44cUnmDRcTz49cZz9lJ+rtXWzRlqF2ugdcQt1LDTTKOZx1as4SkeuxP0UzuJ/BfRWi9HSJWnuHt0vTrcEyPl9u6qIbcHVxbIWAUhPiylON/ppuXJ+JIs/C6bf5MufZhJbTLW0SVKc8PKM7HIII+ANUMX0/hZD454nudGXEEUATTS7inOomq5oq1NquTGHxvaA8AEEG6sgc2B0+LCUp/Ea/a31HYNDaZTdNKTLnJKXn7lASHEt8pKSltR3SSlW+3Qb9aXdKytT6e4gag4fas1O3evk2OxIamKZSySVpSopxnphY8z0p0cTHdGf6dNCtORpf30czBQ6Ce5ELMjCcZxzc/N5dCK0tT6O4L674z3fSWoIN5kammRW5HtLbxaYYCGUAIRyq3XyYX40kdd/KrjnYcmM2H2CyN0RcaaHOB3/cHGiWgcdVVa3IimL/dDnh4FFxAILelCxdpbkyGI7fePPIbSfxlqAH1mtVEiPIRzx323U+qFBQ+ymBw+4MNaoOppWrpF01HD0tOetVstgmdx362wFbrJHKPGkDcefUAVbr3h1E4a6Yt/E/S1omaWkx5bbFys7lw9sZU2pXKDzcxznbz2yNgRmso+n8IynEZkEyHgHaNtkWBe7dz520D3V9usZGz3nRUzr15oGj2r+bpbN9a1XqniLZ9AWDUgsaZsR2UuT7OHTzIKvDgkbYR6+dYNFXW8s3zUWlNS3hu4P2WaYzckpS0XACUnwj3gefnSvpx3ve0JpZ1GAldnkEH1GHKvd0d2fdecSr/AKMIvH31PSZEhc0PLQ2HweZaGsHlJTvspPkcE1oCGA4TMOaOm+0HFzWAuad5BcTwa4o8/oqbpJRkOyYn2d5bRcQCNooDqLv4Si660wkLkOoZQNi4s4GavjOsSQFR3kOp6BTagoH6s02NFcBzdIOoLrr1M/VTtjmPW22W1E0xw/3RACysqHLknpnYA9elJ3EnhHC0rpu06t06J2jEz5jVvu1tcuHtDcdt1fKXA4FHIGMkE4IPRJGKzmen9PklGMMkl5NXt+m6sD7t3Tvtq+LV2TVsprPeMPHi+eOPFdfm09Z18s1rjyJMueylMRsuupDqSsAAk+HrnampH4t2W4uRorlgvsNqe6hqNLkROVlwlW2FZOfo8t6u4v8ABnReidHyndO8Obnc3GoQeRf03QqS07nxKcZ5wCAN8hJTuPeacPFp3hwrgTp9SYV0VHdYA04hJVztyS0ru+8AVkjrtvVvE0bSjHGA18nuvLL4G2h1prjzfNOrgHhV59Szg95JazY3dXJvnpZA/cJdk/6uzOeAJ5VnlA8z3acfmrz27YGoGp2pH4bbg7qGhEdRH4yskuY93MD9ldw2N+42nQcRzUCnG5USMy6+XwedJQyheFe/lG/n1rzS4+XJ2Zd5a3XOZ2S+pasHbHKnl+rxZ+FedZMIx8h8QN0SL80aXa4T/dibJVWAaP5KOYz3s1iU/ggONPPbnzCgP+rFTfwQmx7PpqJKdc5Gw2FDAySVYwAPM+VQJeQU2Kc02rwx7dypPnglKyfjlX2Cp84GMR06Zs8yS2HW4sVp0Ap8+QYJ+jNU8pu5i2cEf5FMkTihbrc0lT9pmd2fF3pGP+HH56c+m+LWlLy6I7M0tPk7IdHJzfD1rn7VPFjUN8kzBZLW98mQ3TFceQlKRzFJUApShseVKjhI9PFvWSwtKukFN0kWxxIVISwlxTqHULWppLg7pxOCVcqkkpV13xuMVW/onBm+lrR6m1soiBtddx7u2poYGSs7VgvfEa26Rhe2zT4ceBITzKKulM3hLc/li0pRPUousK5MKGCcedXcSCyjvn24PtHdgFO2UhXlmqrRTtq13PGzeElS+O+oL7L7q1WJhhpZ8K3clSs9DvgD6M1fJf19LjLuTrcCbH2LrLKx3gHuwOoqCNSr1PFukX2yHCbTLHeM982payMObrwlXICW1Adccyc48l/hjri8QtQpsF4jJYcmQm5bYYfLsdxtwDl5c7trAIykgZznHmbr8VzWbyFkRZ4kl9sHlQF2o7SmJr+BqaMCgSVoK8jBBTgkfHANJ2qVqnw4qmWA4HEFWM7qylKSP+En4ipR7XNhVNtKp7LS0vRJLCgQnyXlJ/LUHQb2hUptovghptLBJPhScDc+7m/5ffUsJ3tB8LOz4jFIQe/Kkbs465kcMOJFuvcsrVao0gOPuoQT3AVlCXwB0KSpOfUHGxINewsG4N3S0Q7ow+08ia0h9LrSgpDiVAEKSR1BGCK8UrNdG4uoI5ZSHG5SlxJUVawAtK074PluUkZ25gDXqb2P7lNlcEINumzDK+Rp0y2MPE7uMNOnuzv08JG3kNqtjlYczK5Uia3Bch29n+VPQgf4TlJEh3k0/qV/yTHeJ/zLJ/NSvq4hT1nR5m4JP0d2v9NNm+yixoTU72dlW95Z/wAYH/poaKcq7jbV5mQcEpwNsClZGxGKTIo5VJHupUbGwFW1mLOjpWXIzg1iT0rImhCyJAoqgooQvVUK8qtJA86pzDBqxRzVjoraZnF3Tdw1Ro9xiytKXdIL7c2Fy7KDiD+KfXBVj3491IHEPWvETjDp+BoWPoG5WJMiS05PlyMhlYQCcHKRhPNhXr4RipRVtnHntSn9691WlPP3CFub8i3AFfDFb2n627CjY32g8xuLmE3bSa7A0eRfKy8vSm5b3ODy0PFOArmv9fooXt/EfiZaeFyuGB4cXlVybhOWtm4DJbQhXhSQQMeFJABzjYU3dMO624eaG1dw2f0BcrivULbqG50bxNIC2Q2CMA82Op3FdAxbRcJMl6MhI7yNnve8WEhPpk+/f6qtm2edbWQ+93SkOK5AtpzmGfQ+h61fZ6nDWPY3GaGvcHO+7lwNg9ePy6Km7QS9zZDK62gtHTgHiunjv1UA2+861tHB5/hS5w2vLj65aZBloTlAAkJexgA52RjOfOnFfeInE29cRLVxA03w4uMIWaCqJJiSyB7U0teVJBODnoRjJBAOCKlOc7pawpgI1RqyDan7p/4Rl1GVOHIG2+53H11W4xHbdMchuvBamz85IIB8+n006X1Eb9+TEb9e887qO6g4gXXQV8J40CSNjR7zg3iuAPtNjmuxUKauv8PUl2tt/wBO8DLrbbvGvMa7TpIaPM+G186kA4xlRwSfUZINZL7qzWl64t2niwOF17aYtTKIyoSt1rIDmCDjp4/TbFS6XCVE8xJIx1NUKwRgnamN9UMjAAxwfpLeXPJ2u6jk/t47Jh0LeSTKRyHcBoFjoeijrTMXUepdWa11fP07Js7d8ZS1HYlEBfMEYPXBx03x5+402m7vqpPC228LZ3C68yUW24JlPvJJSiQhLynFNg8pwCDjIzU05T/JH1VaSOg+NRM9SkSF7oQR9NC3DbtBaOQbPHlSv0RpjDRIQeQTxzuNnt5UeJ4hSI2m7vpPhtwavVqlXppbDokvKMaOVpKSpCVnlTgKP8kdM1pap0He7bw009Z7XE+UZNimsyn2md1OAcxVyDqd17bZxUppOepzisyVEYOd8daZ/cTo3sdBEGgODiCS4kgULJN8ApfwgPY5srySRQ4AodeAPlQ5qXVes9S8WdP8UEcLr5HZsUdphcRafG4UqdOQcdPwvkD8331VnU+s2OND/GFXC69GPIa7gQwDzhQYS1uce7PTHlUyZ5sHY+lVABCfduKs/wB0tawM/pm1sLOrvsJsjr579VB+BHdu9517g7t9wFX0/hQ5YNVaxsZ1QnU/CufctK6vnPSn4BV+HZUrZWw3wQEjOBukEGkq6WKza3RbtO6I4QHS0Bl9L0y6TkkyFIBPgClbqzn1O+OnWp1e8KcDYHek9/I23x6Heoz6n2OM0ULWv7U51XVAlt0TScNCDmiN8hLR5Avnki6sBMG8Sr5o/iVYdc2vS8u8xYMF6ItqMfGFq5hvsfJQ3xvit5rjM3Au07Utv4CSo+p5gUgSinHOknYrVygjoM46+vnTkVhO+PLFJ0t3CsDYe6qceusETWTwBxaNt7nCxd0QCLHPKsP0s7y6OQgE3VNNHpYJCZdl1VrbTtrvVg4l6IVqyxaneVOltRV+Nh9ZClp8PQAhJAGMEbGkS+M2q8ptA0bwDcg2m1yESpvenEuYhJ/gudXiKTvnHMTt085QjMyXQFoZdUnyISSKU4iSnwnKSDuOlXI/VIjf7wgAf8OcG9KvaD1ruqz9BDm+0ZSW/IaT1vrXS0x5Ov5LmkLtojhvwevdsVemVsv+0vKMdgLSUr5ErOEjBOw5Rk0lXCbrLU2ldFaGPD26W8aalsOvzX8hpSEAhR3Ax69T0qZYid8A9a3pkV1MF892oANLO4OOlNb6mbCP8MABvdZc4m622TfPBoBOOiF5BfKaqqAaBV3XA455tRV2hb4jT/DnU88ueJXIygk9S4lDfl8T9teWnFW5KkzpUqQoqU4ogeRPMc5x/VB/7Neg/bju6oWkIVmCce2To7z6QOqW8LJOPJICs/1hXmpr+aJF2cS2sFKVrUnG+2SB9iR9dcIfuK7OD7Foail91Cuwz4VRyhOOhwEj8qTXUXACDEvnDa2KaPgfgMJJx/QAUPzVyNqJZ+T1MFR5pAUtX93p9Yrqrsj3Pv8AhdaIyvnIU6hX0OK2qvltuKx5W1pADp9p8J8w+CVkZKmmnJQYW73xYDxDZXv4uXOM7nf306o+jrTZ7YuDFgtd2Vd4W9yOcAYWck7+Eb9dh7qeUFlpzlygbVZqmfAs9sSklAdfPI2kEDKjWf8A1EtbCV0T9Oii+toSRw8iPMPS2m1YBWCTjcmnTItLVwD0d5AUh7wqChkEg5HXzpE4ZpLjrjmSSSebHTNOVyaYMt0FSeTqoGoXWDwpGxWwJnyOEmmnHzJmtNHqAlSQCAfd0+r9Oc8Th9pe2SBJt1sYD2B+F5PF9YxUg2O8ad1JshamiBykL6586zXi1w4qeSGvmKRknGftp5me5u21LBhxh+4jlci9rGGLRoG63tSlYHcoGT+N3qQPy1xU0w+l9stqQkv5IWs7dfP3bYruDtnAu8J5bJdCS5PhoOfP8KDtXF93tinoUdpo7tcwBHocH8q608ID2+VzeunblUPCWIeLiw6+Iq3+6WlkNgfhFEEAAAdfM/XXsB2UdML0twD0tb3siU5F7+UCBlLyj4kn1IwEk+ZFea3ZY0LfdSasTd7Sw05MskiBLdjSchmYRIb5WlKAJRnrzYVsFbGvR3TnGk2V1do1Bw11Bp9b8lx4pDSZEVC3F5VyOoOFDmKjsBgEZAqyzqudn8KQtTb3WyNE7e1Ff1Afppm6ydDfDHUrpOCLU8Pj4nD+alqXqi1X+8Wh63OFxCFOr6dOXkBz6dabXEdRa4Vah99qfJ/uu/poZy5U3CmledUZJK+b30qNg7HFaEXHeYx0NKSKuELMWRPwrInf3VagCsgG9IhV5ffRV1FCF6lkk1RRwKsUvFWlzA3FTlW0pafjCVc0KewGI6S84onYAev2VyTrXUuqdX6r1DxUsrsr2G3XNju3A4oJbQTyxzj0IbGfeR6muguMGqW9FcHrpKD6W5moFi2xfFglJyF49PCF/Z7qi7RXBvjdN4cuwrFLsbFh1K2ma9FkKHfOjCSnxFolOyEkAK2PxNekejYoMDGfqOS5o3ODBv4G27eRweSOAun0NjMaJ2TKR9RobvHdTTrS/saq4D33XNsUWkXiwodUkKwpp4ZC05HmD4foNNPs/vOvcE3FOrK1C+ODKlEnHdpphcM9bqd4F8Q+H1zUpMi1RHZjCVnxBtRw4jHlyrGTn/ee6nz2e1oPBFzlUFA3xzceRCE1Dq2njS9JysYVxM2j8Ftj+FHmYwxcOaPw8V+VX/pJnaR3vfDX+uPLP+1ZqROKfFThjoG8riakduU+4uIQtUWAhKlMowMFRUpIGfTOcHpuKjntIuJF54ZlS0oKlDGfM961SVr2YnhZ2h39aa2049dLNNUXYqi2Fg8zSUgo5jyFSCCOUkYzn0Jt4um4+qYGFFPbtrJXBoIBcdw4BKmhxo8zHgY/mmuIA6k30CknSvFfhDrPUUPTNidvhmXBKlNlbQQ2khBUQVddgCNsikuXx34HQfaUvKv6nor3s5Y7lPM4rJB5d8YBT5keVR7pDU9q1f2mrTqCzWFyzQp7a3GY7qQhbifZ1jvSlOw5sZ2z8TvTj7LVstdyvnEAzoUaSQsM/hUBXgUt3mG/kcb+uKZmendLwY35MjH/AEsjdt3CwXOIIuq4A7BEumYcDDI4OoNaavnkkEKR9NX/AIfa307K1dYr+9FtVs5jcUSk8rscJTzb+7HnuOuOlNIcf+BRkvsKOoEiOglD3cDlfx5IHNnP9YCos4QWO8ap4J8R7Pp4F+as217kbJK3UoWpakD1JSk4Hn0q228TdLxuCs/herQcqTfmkurdl9wjkaPeFXfrJPOlSBgY5cbDfBqRnpPB9+ZjQ6SpGtoOALWuAduNjnrXbolZpGN7jwAXU4CgQKBANlTVO4t8IrZpe2axkfLvsF2fkRmMMpKwpkgLKk5wBuPjTg11qjh9w1RbF6iXdFi8FQjdw0lWMcvzumPnCua9Q2K53Ds4aUu0OI49Gt11uQkrbTzd0HFbKV6JygjPqR60ucVOJVu44XLRlg0ZaLiudDUA+242k4WooBA5ScgcpJVsMY9+Gt9JYckzC2zGHStebH0hl7bPa/5Sfg0Dntqy0Fwdz0AurU2cQ+IfDHhbJTC1BKuM2Y+gPJhwkJU4hs9CokpSM4OASDtSfpnjNwh1bfbdpuzrvJl3VQS0CyEpaV4tlHOx8PlkbjrUc8VnXOG/aAja+1dpp26WN9LbjSg2FpyGQ3hPN4edChzBJx6+hpKt2r7LrbtI6a1Fp+wOWeHKcb7ptxtLa38IcHelKcp3IIyCc8vXNR4/pnAlwmy7XOuIv37ht3D/AKartSSLScZ0AdRNtLt1ir8UpX1fxk4PaNvb2mrpKutwlxl91JXCaSpDK/5JOU5I8wM0oaO1nwt4lXG42bTM25pcgx1SXJL7YQ0WwoDmGTnG4O+NqhfSWqYPBLibqdHEjR8u4PXFx1MV5DKVuEFxR5kBwpCkrChkg56bdcbPBiNI1NrLiXCtVqNoeudmuDUeGPCYqnF4SjoMEEjyGKdlel8CPEkkaHU1jSJNw2uJIBpoF8We6JNIx2wue0HgCnWKN1fCfszjLwdjvPMx7Vqu6woag3Iu0OKDFbJOBlRUDg+Xh38s1u3yFa37XbtVaZuIm2W67xn8YUlQzlKh67EeuUkHpUC6ZlaU05pe86e1zqvWVjuLbi0OWSC2kNyklISQQocoPkeYgYAxmpv07aLfp7gpbIcJi8R2LhdFzI7F2DYktoKTk4b2CSQCPPx1l+ptCwdMxy7H3BwcACejhXUGh/FilX1TT8bFi3RXYNc9CK/2kvjXxjvfDfUti0To+9SYiLS0k3bMNpwPpVyKSUlYJzyhecY3PnTvi8VuFGq9R2eDHbvKJupUhcUlhKUJPOtvxbnBy2r18qjjtHPInXXhncpSWjJmIUp9XKAXT3jAGfUbnqfWtnjyr/R7xt0rrx2zPCyRG2Ff6s0AklC186E9EhWF8wBIzn6a0cbSdO1HCw4hGRI5khFGi5zegPHNnp8cKeHDxciCFm0hxa7v3HlSxK1foDSvESDw+km5qvMlCHW1BpJZwoKIyc/0T5VFWhu0lJv3Eifb9R3ibI01eVKi2phENpKmlOOJS3zEAKwElQJJPwrQs+qGeMXaatOrNLWyZ8nW5tsPLfbAKUIQvKlYJCQSrABO9KPCK32+R2kNdwQwwlLTUvuU92kpZUHm8KSPLGdsVJFo2nabiytyY7k9lryCRbXF1GuOD0P5X5To8LGx4niVv1e2CeeQbrhafHub2btRajNq1sxqa+TLe29BcTZ5AbaaKtnEklSApW2DgnGCNt6iCL2Jeylq6HdOJdt1xrU6fs8RSptmSGRMYcURyqDqkHbAUMYOf5WxBe/D3U1t4B6t1JauJ2jpE+XKb7pp4NIWSEqXlSe9IBbcyCVDJ2Gx6DHoHT94kaK4na+bguW6xzrU6xFawQ24pb6Vjk8lBtKSnPTxbHrTcj0jpjIt1OAHt0/cCJNxG4AdeLPcp8mnQxssEitvN8OurAHZMCy9lPsMX6dbLXHe4izJN5c9jZjuTmkGOtSwgOLKEpHXcDKtifD0qKuHmgrdwe1jrjhfaLjInQdI6nm22K++kBxbI5HG+bGxUEuJBIABIzgZxU3av41XTs0dmew8StC6S07d73ftXOW2Q7eI63UIaTGfWkpLa0KBSphGN8bq2yQRyd2ZOK964p6r17ddXTEv329XlV9lLSgIStb4wQlI2SlJbwAOgIGTXB+rsXCw55MXCaQGEgkkG/ngJMfZj6hsjuhY5N2bXVsO7NpQHS4OYp6Ui6oii/s+MjmSnwEE7HyI9POnHA00xIgKk8wSpKd81E9w1ZrKz8Q7fox6zQ0QrmstsXFbi1IbXvgOADbOBg5xvXBxAyOtq62Sbc2qTk0lB11pppaLZHdkxwpKworyQM77nfFP2NpqQ9IF1npUqSrxZUv5pPXHpWvo7TfFi6W9+6WhzS8uKlhD7YElxPehSebwEAg426kA5FOa76K4oQZzcW4XrS0OMhpkqdZLjiSpfMVY58ElISSeg6e+rHtOIvhIzJhYA33BaQrvBl219u92qNh1OA40D88Adcetblu1Y3doXeAkOJGFo80n3imppifrnVOrJzQmwXNLwVBtqWmOpD01zHiKcqISgE4BIycE9CCX0zpqNBy42gAkAEn0Gf01SlBjNFTtnI5XN/bFWkcM2Wl47yTdYwx8CVD8lclIYS7GUsZUWFICz0yFjGPrSmugO3RrWEi66Z0DFcCpDji7pJSk/MbCS20D/WK3P7lc/wBqfQ4p63k8q5bSks8x2K0K8O/936618ZpbCL7rkdTk97JNdqXTXZWn6r0ZcJ+r9NWdF2h9zFbuFuBw4+AsqQG1HYL8KgB+XcV6B6D1roLi1anrppl2VEmQVJbnW+WyY8qC4pPMEvMLyE5G4OOVQGQSK4D7EGt7DGu1y0xql/EGeURX21nlWgEKCXgOuW3O7z6BxSuiTXWmnbf3faD02i1tITcoluuUa8yWAAH4bbnKzzjoQXuZaQc8vNgGrLCW8FYszQ5SNe7cq36htrYCFAsyFBQRhXVvY+vxpo8WlKb4S6jUnoLU4PrS5n8tSFqXmXfoRJB5I0nGPeUfoqOeNnM1wc1Jy/8A6Z+XmH56laKcs9/2Lz7ipAcPxpRSkVps471RHTmpQQAR0q2VnK5IxvV4FUSKvAxTEIoquBRRSF6fd6M1Rbg2wKxFQFWldTWraVoOprrbYxiRXG+6TlSQ4jOPUCtdzU8udNauHtaFPR9kd3ghA8xgVGmqETNb8QbFwsgXpcCPPSuRclsEd6WkpKuT3ZCTsfUZBA3a+pneGfDnifa4GjJtziotq5MS9uSVrWlag2cY/lb+QHUD0rqsL04cuCw4+4WF4aG2No6bjfF9qB7LDydaEEu0AbA4NJJo33od6vnkLoJWt70FHxMHI8mR0rRueo7jdY4YlKR3SVBYSlITkjz+2o5gcW9Az5CYyb+hpa8AKfQptB/tEYHxNUe4ucPmVqQdRtkpznlZcUNvQhODWWdG1K9phffX7Srw1PDcLEra/wDUpMi6tvMNlEdl1rkbASjvGwogVejWF2XziV7LLacPMEvtAgH3dMUyNP6ssWqo7smxz0yEMKCHBylJSSMjIIB39fdStz7VQkZLiyGOUFrh2PBCuRSCRofG6wehCcg1zfenfMJHkAyNhVqtcX8bIkMjp81kAmm5zH3VQLyaj3Hync906Xb9P1LarjYV39VllTGgIdwjpCVMug5BPqMgfEZFRZdOGPaPvlll6Ru2s7JKtMxwe0TXHB3jqAQQCQjmxkdM+7OKdRWKA6SQCSQPI7itbTdan0wERta7m/qaCQR0IPXj9vhXcXOkxAQ0A/mLSzpiPF4YaVtmh9OzUzPYErVLkLbBS+8tXMvHuyTt5DAztvvM6nktBS4UG3w1L+cuPG5VH49abaV52FbTSsedZ82VLPI6V7rc6yfknm1UfM+Rxc48k2UuR9RT0s9w8GpbRJKkSG+cEk586UYWrZqH2lSUNCMkgLS20AQPd8KbaCT0rYa670zcaq+EwOIFJsX/AEZx+jall3bQWv4N2tktS3I7FzKeaKFHIABQd07gHI26jrVnDbh7O4Tpvmp9S31m5ap1AlSCmOeZDRUorWsqIGSVHPQDwgDqaePiTuhRTt5daS5jWVHPWtmbX8qXFOJTQHAAkNALgOgJCvv1OZ8Ps0ADQJAomvKzP62uyQhx+BbZTzQ8D70XLifgQcfZTS1FerrfHxKuklTqkpKUJxhKB6AClOUjANIktG5rCc9x4JVEEuq0q2viHqe1wWrfGksFlgcqO8ZCiB6Z9BSrbNc6gf7xE55ia08eYtSGgpPwA2291MgI3pYtQIIqNrnA8FOJPUKQYWpbhyhiLHhwWknm5YzIQPq3pfj3edJYUStCc7cwSATTNtqd0k06II2HwqXc49SjqbKTdWXC9M2SWq0xrbcJUSGzKjouUbvUKO5WMgpOSE4Bzsd9xtXmt+7m7Uo1jcrlJ1db2hCSuK3a2rY2IKfGAPAcrKtgclZI3HQ7elN8nW+22eVdbjIQzEj2pL7i1dAhLaifsrxqvlyZmav1DcAO79puL7vd7DkCnCSNvTFZ808jTtDuFo40bXNopd449qji9xtYZs3EW5QJNstbjqoMSNCQy0H1tLb75WN1KHOQMnABO3meb+EfEB3hXxMi31aj7EXDGmpHmyo7qH9U4V9BHnT31S8kXVlllwoU4FHmSAdxvt9OPpqKdVQYiLi6p6QWVc5K20tE+LphHlg79SMZ88ZLoj7ltf3Cmf8A4qezil6waS1OxdrI29GeQtp5sLSU9CCNj76Qr/YW78sc5HON0KUM/QfdXMfZM4qzmtMfIV4eUuNDkFiGpaslDWBytk+7O31eVdZ2CTFuUNMhCwooVkj3VgPidjyloXYYOX7wD29Um6ZtWrdJsfJtju8uDEd2LUYpLYz6JPzfTanBM0bftUvpk6ivcya2gI5vaCAARnGACRkZVv76cdpVFd5UhpRPxpypj/gUBLSkoWM71KZX7Vre40O3BgB80Ek2K0RrYhqFEaDbTScAD8uaQeK3EK0cN9I3LVF4d5Y8NolLYPiec/FbQPNSjgAe+ly8X2HaUhHMnmPhCR1UfdXEXb71Bc5C9HwjOeaQ65JldyleAlaQgIO3VQBVv7zVeCESzAOWTm5ZhaXDquXtb67vfEfiRN1reSfaZrw7plGSGWxs20j1wNved+ppwRSt6Yu3xm0B8FL8LPzVqSnlUj+1hX0EelM6ZqWWy6+Y1vgRZz6VNvTGGOR3BGDyjm7tskbEoSk4J9SCr6VuLMhcZmQ97OsFKUO7AtqHRQJ6eW3Qge6t+RoAG1co0k2SeqecC4pZvCLzCdcZUV9/zAfhEKHzv7SST9G1dsdm3jnO0dJnal1dablembkhiCLrCHOWWm8uEKa5SrBU6SVA+XTAzXAcy4OQbwsOkN944VOAdEuDqU+5Q+3NdJ9mPipE02u46au5jfJ94b/Auut94G3sHCeUEEBZHLzJyoeisJSY6Ubx9K9Kvl21amVAvdmkpfhyITjrLiVAhSVe/wCI+ymNx3V3fBfUyvSC2kfSoD89JXA5yQiyKi8rPsiRLeThZKkLdcKwlO+CjCsg7Z5vLpSh2hFFrghqU+fs8VP1vND89SR/U5ZszdrVwOwnlV/areR0rTZHi+mt1HTHuq0sxZE+41edtqsSAKuoQrh0oq2ihC9MS7tVveZrB3tULnpT1dpIWgZTll7Qzkd6DFfTqOCFMvqGXI3csqzy+hVyEH3GlW0RtMcVeN15g6g0vbmxo4vhpCE/+NcW4lIddHRRTjocjKhTbvtq1ZH1ha9b6OnW5mbbo7sfknIUpGFhQyOUbnCj191IEPSHEe36ll8QrfqqFE1NKkKdWlltRjOIVupBBBOCR0II+nBrv8SfDngE7p2skMQYOSCHA1zXYtFX8rkp4ciKX22RFzA8uPA5FeT1NqRNGXa1cb16o0hq3hVHssO2pKGpAZ5HGF5KQhSsDlcGytttjt6oWmpOlNDdm+2avuGj7ZepMOfJbYL7KR3i/bnkIUpWMkAD6gKsverePurIDtimz9PWWG6lTb0i3oX3ziSMEAqUrAIPlynrvTVVpbiRK0Exwwk3ayjTzEhTyFobc9pHM6pw74wfEs7em2asMkxvskyGNZva7YHuIDQ0h1Hy41wFC5k55ZE5ztrhuLQOSQRx4HlLehId7N41FqS82Rq0fK8hLzURpYKUDfOAOg32p5Bz0VWulZCeXJAHlnaqd5iuG1LOdqGS6dwq6FDoKFD+F1WFijChELTffn5WwXFHzo5vfWuXT76oXjiqKsrY58dFVVCt+tawdzVyHB50Ipb7at62W1b4rQQvJ61tMnfrT0whKLS6zoXitFCwDWwhwYpQmpRTukVpTBuTWwhzCPorUlPDfcUpQkqYMCkWSM5NLEpWfOkl/cHeoynBaIT7qVrYncb0mpTvSpb/AAqTTaTxynVb9in6KXm7hGgsKflLDbbSCtS1HCQkAkn6ACaQYKgAkk4+NRj2o+Kh4acPY64LyUXC8z2YEYuK/BBaslK3N/mIKUrUkdUoI6E0rnbW2nsYXOoKNu1Lx2K2/vO0u2ubc/ZMot6AQWUgDEiQc+DYZSDgpBOQF/wfnY/IWx3qHJQfekPuuvOkYKiTjPuzgnHvqceJmqdPaF0H7BbZjlw1bqxkTL7NfUVvMtrwpDBWdudKQFL5MDvFJA8KEgcvi9GRMPMpPjwAkjB26DboNz9lZbjvda2I2bG0q6hkFUxK0qyW0cg92+TTH1MtEh7nJUSPESd+pJH5qf71rZfkKSuQlWWuf52Mb5V+Q/XTDvjTj7z3NsASBgeQ/wCxU0RopXCwpd7NMVVytdzhJGFoeS4n4EAfmrpvROqbrp172ORzORnOqT1SPz1BXZDsrb5mOLSe8WSnHkU5H/8AtdUTdMRGy1MaZ3GArH11QyXB0pWthB0bA5vVOmx6xjLWgNhWTjBCSQfs2p3J1Dd56ApmA40E7JccSUpHvAO5NNzTMRDbCXY+ytvpp5tkrY5nchfQ4qFzaC1BmOcOQkKHaCuWqZJWp90nJUrp9A8hXGXb3hOuXvS05P8ABtiXk+Q3ax+eu60hLUdZA8SuhNcQdvG4xSuzWjq82p18+5CgAPtSfqpmNxMFSywXRG+q4/uDavbFqIzznI99KVkcjtOJTMivLZA8Sm8BQHqAdvs8qTJfM5FbcJOyEnPvxW7p7UrFrcaVd4yX2wrZYPKpHnnIB2PwrbpxbTVgkhq2r9KZVIKGpK3UjHdFacKCfT0PX6Mmnpwguvtt5eskiUllT7K5MdahnlfZSXAE435lBBSEjqsoHwaUyMdVXM3SAwtMFsFsFSACFDGQcbEjKelGkbfPlaxhxbWHO9MlIRynBzsfyVG6gD8JzQX8L1t7Nl5N60wi5MNr9nuLbZjoJz3YQ1yOpHnyJe71Cc+SU+WBTj7Sa+64I6jSFDcwW/pLrBqN+CV1uOjdOQ4TcBqTyx0N5bdLXIg78vQjBJJ2wck04uNWpnNYcLbrYoFkltz3nYzoQnC0qS2pBVg7HOE5xiq+PlRk1fKgy9OyGNLtvC47YTk7CtsDFY2GyjKVtqQpJwoKG4PnWcJ6mtS76LnSC00VRPSq0AVcAKEitO1FB60UIXpEdqAc1aVE+VUyfSi/KuoWd/pxVnOnIAOc+lb0u7WLRWjrhr/UEQzW4jiY8WGFYD756JJ3wNwfcATg+elw/wCJWvtVFu86y4bWuBomRFkSFz2miC0222pQI8WSCU4BwM+XlWxi6NlZeK7MYAGDiyQLNXQB6n4CtR4Us0Rmb9o8kC/geVaTnpVucDcj4U34nHfiHqNFxuPDPhPDcsFqWpK1uxitzlAyObCgOflwopTzEZ89iV238bLDc+FN54kWjSFtavdpdZjzITvjZClrAC04xgKCiegOQQc4ydCb0pqcO0lrTZDSA4EtLugdR+n9VZfpGVHVt7gdRwT0vx+qu5hvv06+6rCpB3Ch6fTSDM7QPEKPpeHrQcJLQzYX1hl6UtJ5HnMlJ5QDlKcjlBIO469BS3e+OarLedKyZ+hbUzpHVMdh9Eks/hWQrCXUEjw5bUQTtukilf6S1JhDdoJO4cOaeWiyOD1rmuqHaTlNNUO/cduo/P4VyiARk9fpqnQgEjfzpRm8S0McWovCfQulbJNiMIbNwmSElamhjndIIO+Ekdfxjimm72ibtdrlcW9CWLRcG0wFKDXytLbYdljJ3QFKTkqxnA2GRk5qKH0vqEwDqAG0O5IFBxpt+L7BIzScp4BDewPXsel+LSyFgDOcA70JeCjsetYJPHu2HhSjiJY9F2lN3+VG7ZPjPtktoUW1LC0Y3wQAfrBzjNKmjOK2pdRwX9T3nhbEh6PYsz81+YhgEvutN8ywgZxylSVhOQcgDfOcI/0zqEMTpZGgBpLTZA5FcAXyeeK6prtMyWNL3CgDXUdViaeyM8w64raZdGConYUk8MOMGueJeoI0OFpbSDFoMnupMcup9paYAyVBBUFK22BCcE/Ti7UvGe+M68maA4P8PIV1dtylJkuOIK1LWk/hMAEBCEk8uSeuwAGKk/tjUBkOxSG7mi3fUAGj5N0ErtJyPdMRAsCzyKH5nsnPa4sm5ykw4SOd1YJCc4wB5ml9vTnydFk3a/yUM2+3MuSZC2F86uRCSTsB6A1GmlePWtdQamvelEcOrZBukC1y3W4yUqD5kto2bJONlK+w9T1pmdnTVmtrVJ1L7LYU3G1uNOP3J6QokRlIadUhOCroojB2NXmekMqOGWWdwBjDTW4ch3zdfl1sqb8Elax75SBtrixzfzamTTGrNH8QNOzNR6OMxLVtkpjyWpaAlQyBgjBPXmB6+ta8p/OfXPQCmxw+42aei8Ib5q276LtVqjQLqmNGt1tb7puXIU2laQodCck5JzhKc4OKSHOPvFSHZY+tLnwrtR0q+4EIcDKgCkq5QOYk4ydgSnGaZP6Wy58iRuOza1rtoDnNu6vaDxuP5JH6PO+VwibQBrkjrXT5TvkODpkUnOEKOcjfODmsWv8Aj3aNI2HSd80RpS3ToGpGpL7gmNqLjamloSpGc9Qpak+Y8O22Kwq40ast+tLRpPiLwttlst19dQhhCR+GQ24vkSsKyRkEjIwPoqnH6W1GWISho5DjRcATtNO4JvilFHpWU9u4N89xfHXj4WZHKelXy7vAskJU64vhDSRjGMlZ/kgeZrd1Fa0Wa/TLa0oltpzCCrrykZGfoNRFebi7qq9reDivY2CW46QduUHHNj1OM/UPKuSysj+nb8pmBhnMk29glu6cStX3dxTFgKbZF6IUlPO8R6lR2B+A29TXMHadt13uFvtkm9z5Utz5Zicz0h1TigFqLXVW+Pwma6it9sS0hKikqOMdKjfjxolGrdKzoWFocYbEhlSRuFIIWnH9pANYhmkkdbja6xuFFEymgLz14vahkS7zd5K3FKX7QuK2CdwlG6tvjgZ91RlB9rfKVEklZ5lHzxv+YU/uI9kn/LMg3COWHDJW2+k/7JZWdyPQEnNJ8Kyx49hd7p5KJPehk755QpJB39ME/VWhE4bQseVp3FJmkIcm6Xl4SZCz3KSTv85WAAPgB/36qOoLEiISktk5O6vX0Pw95600LPfX4KgWVFKlq5iU7FROKku0aU4icbNTWbh9oKwSblebg6ENRmxyhSUK/COLWdkoSnckkAAedWDCXuUIeGclTz2UdKOW+CqU4hQS+EuNkjc7b7/VXS4gBY7gp8JOQKkrgN2GrroHRUOBrrWsd+8El15u3Riplkq37sOLILgGfncqfhUqN9mWzoWlf3ySzj/+On9NVDhTuN0r0epYrGgF38LniBbywgFBKQPKnFb4/OAS4SeuKm49nG1EEDUUoZ/9BP6azQ+z1bIfTUUtXxYT+mg4U/YJ/wCKYn/d/BUE3DDQc5hhKElRPlivO3td3Fy9awclOE8vKEoB/FSNh+evYed2erZNiuxjqGSjvARzBhOR9tc7cRPuWul+Il2cuszi/eIpcx+DRbGVBIHlkq+NOhwJWv3OCin1PHeza0/wvHIHLIYdOELRj4EHY/8AfrWpIgqSwtZOCjJxkfNz6/XtXrIr7jNodSgoccL8MeXyUxj/AJqyr+416FX87jZfDsUkfJLG49/irREbweFlvyYXCrXnRwejN3WBItj7qUoEUhBPQL58k/aKm3s98ErxL1GvVYjIQ2lxTUdxwZ6nBUEgb7E43HUV1pp77kBo/TqlmJxuvykrQUEG1Mjzzn51dEaE7IGntCWaHZ4eqpUgQ0BPeLiIBWR5kA9aoZGJkOcdnQq7jZuLGAXnkfCi7TunmLJbGoTTAWtCUpKin0GCaXFWISY5IaTvtsmppa4H25rGL7IOPVkfppSj8KLewkJRcnFBP/pj9NUXaXORQC1BreL3P8FcRcZODglQZGq7JEKJ7CCuQ2gYDyADk/1gPrrnwJ26k+/FerU7g5bp6Sly6upCuo7kEflqDJn3PXS0iY/IY4iXFht11S0NCA2Q2kkkJzzb46VqYUU8TdkoXMas7FyHiTH6nr/9rhcjAzVh9d/qruX97u02f4zLmf8A7e3+tVp+52aa/nMuY/8At7X61XvbcsgxutcOZ+P1UV3EfudWmj/Gbc//AOvb/Woo9tyT23J+ZPrVpJzVpVvVCvamK2trUOlU8SuHE7Q8Oa1HurUlM+CHThDiwMchPvGR7sg1pcN2ONU61N8KNa6Jbt+n27fIgP3QqSXEo7pSWwCF8qvEUjIB29OtVC1BQUjwkefnn1rbkXu7S2PZZN2mutYxyLkKUk/EE7/TW5i65Lj4ZwnMa5t7mkjlp8jn/dq5HnPjhMJAIuxfY+QmLp2y9o3hBCu2iNOaTZu8C4LWuPMbSlxCVKTy94g845cgDwrGAR8cqtr4E6x0/wAD9S2P2VMvU1+ejPLgsPoKmW0LHKkqJCSrdZO+PIZpyxr/AHuEyGIl3mstAYDaH1BI+AB2rUTOltOrkolvh5fz3EuKClfE5ya05fWOVId4jY1xc1ziBy8tNi+fPWqVp+sSuNhoBJBJr7iPKzX7h1rST2XoGh4+n3nb+z3HPCDrfOOWTznxFXLsnfrWe+8KJuquAtk0NcIyY2qLVBEqJGUtJUHW/nNlQOMKCuXOcZIPlWoLtcw4uSJ8gPKTylYdUCR6E5zj6axLmzFPiV7U6X09HVLUVD0wc5Hn51T/ALmyxRYACJDLfPU1Y69FD+JzCi2hTi79T/8ACy8BOHp4Y2mXf+Ikcwr9qF5UNKXXEuLZYGSSVJUQOZXiJyfxc+dMS3cKdZcNJ92tiuD1v11ClKBtk9ZC0oSAeXIBz0IyDjcHBOc085Ep+SvvJEh19QwOZ1wqJ9Rk1vWefqxY9hsMu5FKT/BRlr2HrgHA+O1WI/V2aMiaeQAiWrHIA2/bRBBFfn+akGrZAe+R1HdVjkdOlVR4SBrHhRry68GWrfF0DZ4V9lXhqW/bbKhLIaYS0tKS4VuFKlgq3wcbgb4JqT7ND1JYOF0CywrYzN1Fb9KxYyLNIeSltb5b5VhzcJUApODuNgRnxZphT5N6gS3VSJNwYlOEFwOLWlxXoVZwT1860PlGf7SJqpb5kJ+a73h5x9Oc/bVHK9QzZkbYpWimvLu/euOt1wPn5UU2dLkNDXgUHF379uvT+U2LNwq1zqPiDY7vB4W/eMzbpDb9wktySGjyLCiptJUcZAKQlORvvtvTguOiuLnDHilc9d8M7HH1FbL+XVYSUrSA4sKUlYCkqBCskKGRjrvtSq9qa+zmfZ598nPMY8SHH1lJHvGTn6a3rTc7vHJatc2Y2VblLDqgCfXANaj/AFnlTO+qNpZtLC02QQTfJJLuD054ViTWJiaLRtqqN8/nykbhdw/4uNcaLhrfXunSyLjCeU6+060WUuLQnlbSAonwgcvn83qep3uBvDbXOmNNcQIV/wBOyILt3aKIKFutKLx7t0bcqjjdQ6460sC63cKCJc+elZP47y89fec1eu5TlKCnJ8lWOmXlH8tRZXqnKyWOY5jQHBg4BqozYrn91HJq80wcKAB2j/j07pg6M4AavunBm96P1JbjZLuu9IuVtTIfQUuLSwEYJQojBSpxPuJB8qTZdk7R990NE4NS9CBm3sKaYXMVyJJabWFICnOco5UkA5TuQkbHzfk+4TJEhBfmPOpSrKAtZVyn3ZO30UpvX6+ORzHXd5i0EYwX14/LU7fWWV7jpJImOt28WD9LqAsc/HfupBrM24ue0HncL7Gqscpg8SOBOr42nOH2ndHW1y+psqJhnyGXW0oS8682tWApQ2zzgddk7709OO/D/WequIeh7xp6wuTYVreQqY6hxsBoB9CjnmUCdgTsDWBqfOigJiTZDIzzENuqSM+ZwD1qxFwuLGRHuMlpOSohDqhknrnBFVW+qsxr45HAEsDxZvn3L3Xz88eFENVmBa4gEt3f+7qs3FeWI91vsxKge6jKKSD+MGht9dQ9pVhPdo5sbAAU9taLUjS9zXkkqbCSVHc8y0g/lpmadwnkJB2NcFqR3SAFaGiW1rnfKkKFHSGkjAG1N3WjDbKoxdS2mO/LjodWTsE96kqBHoeXlPuUaW40pZTylOAB1pq69vbDNvdYl8jjSknwq293WqQbS23PsrlPtXcHEyFXTUmnuQPrzIcYP4+5yE+/zriB26y4cWTHlIUnBUgZGMYBA+w113xP4uCfOfs4uSpEfKmmmwrK1qG2EnqR7z6HeuZtY6beU+JDziO9kOHlbb88nGT7vf51Zx3joVm5NF1tTMsbdpuD/sVwlmItWO5cKcpUc7hRHTI6H1AHnXp99yM0pp+dqbiZrltQlTLfGtdqjOKGe6DnfreI96u7ZB2/E95ry6gafl3O+tw22XgnIUru8BZT6Jztk5A32GcnbNerv3H61yrPbOK0OSmM1/rtpUlmOorS2O7k7Fw/wivVXTP1DWjAMgdaxsku9ogr0UCR50mX/UVr03Gal3Z55Db76IzYYjuPuLcVnlSlDaVKJOD0HlSpTX4g6Ia15Z2LU9JYZ7iY1MT38USGlKbzgLQVJ5hv6irhKygEqI1HY/YzcJFyjx2EtqdcVJPcFpKUhSudLmFIwlQJCgMA74rWuOt9I2uK7Nl6kgJaagquag28lxZiJGS8lCcqUjHmkEUxrhwIttxeVcnb84zP5YAT7PFS3GQqE9Hfj4ZBO3exW+fxcy28NlXKlvlJ/AeHcGp0dzUTzbNxiutvpajJaSmS4wtlT7aEENpHK4s8vITn8fc5S3JRtT/k6v0lDakvTNT2hlEJ3uJK3JrSQw7gnkWSrwqwCcHfANarHEDRL0q5QvvrtaX7RKbhTUuSUt9y+4hK0IPMRkqStOMZBOR1SQGvaOC1stt1h3GRepM1Fun+1xWnkleEBqUgNqKlKBwZbigUhPzU7ZySlsdn6JEssexxNWzu4YRHB7xvPOUW5u3uZ5FJPKthlBAzsvmzzJUUUn1FFAdFJlyv9ltTyI1wusWO8604+20t0Bxxtscy1IRnmVyjc4BxtWBGsNK+yyJa9R21tqGy0/KU5KQj2dtxIUhToUQWwoEEc2M02L/wog3rUreovliWx/qTEN6MCSlYY7/uFpwoAEGS5nIVnbHL4ipHtvAaHZX3JVs1LK75l5Um3qlNl9MZ1clMlzmSVgLbLqRhKeQpTtzHANH1JaCkKRqnTjLpjm9wlvpZblFhp0OO9y4oJQ5yJyrkKiAFYx7610640f3Ut97UluZagzFQH3X5CG0IkAJJa5lEAqHMBgE77daaEDgxBt70sNXhHs0x1qYtsW2O2tMpLUZpS0LQkciFNxGx3YAxlXiKQlKcNg4EWeyhhBu78lMK3t2mIFMITyRG4zzDQWPx3Qh9fM5tz7DAAo+pJQT61Lqmz6TgJul7dkNxVvNx0qYiPSFd44oJQOVpKiAVEDOMZIGckZxp1vo8RXpcjU9tjtxilMn2mSllUdSklQS6lZBbVgE8qgDsdtq0XdFqk6VY0rPvDr6Iz0Vxl8NJSsIjutuIQfI/wQBV13NN+HwXtzOoIl8lXqRJRbrkq4Q2HElQQFCQVNqKlEEc8lSgUpR8xOQTlRdyimp8val05GfdiyL/AG1p5hgSnW1ym0qbZJwHFAnIST0UdqwnWGkhCfuX302j2SMltTz/ALc13bYcALZUrmwAoEFOeoIxUb2Ts72q1WmFZVailSoUKDFitoea5jzstR2lLPi5MLRFRlPJnKleIjlSFGHwPg2Z1czT159jme2SZrS3IaHG0renTJRCkAp5gDPeSPECMA5yTlLd4RwpCavVnflyIDN1huSYiEuyGUvoK2UKGUqWkHKQRuCetYJWqNNQUtrm6htjCXShLanZbaQsrxyAZO5PMnHrzDHWmtpXhRE0rMmGNeZDtvlQUwhEKAnfumm1OqIPLzFLKQORKOp5ubwlKTa+BceG2sXLVEm4O/J7lsbcVGbb7tlUZqMkgD8cIZBJ81KVsE4SE3HwigpJi3W2TpMmFCuMWRIhFKZLLTyVrYKhlIWkHKSRuM0U0dIcNXdK6ouepXNSSrh7e0plth1ASlhCn3HsDBwSFOFOQE5SE5yrmUopbPhFKKuYiqFwedWE7daxqI9aqbqTqtLlp05OvER2ezIiR47Sg2XZLvInmPQZ391bS9GrbkMwl6msCJUkczDCpuFvJx1QMeL6KaHFYA9ny8Hri6xv+dFRpcOH/DFrgtH1wxrRa9VFDeIntSCe85wktd0Bzp5U7hWdsA9K7PRvTWPqWIzJllLS9+wAN3c8USbFBbGHpbMqESvcRbtooXz8/Cn48P700lJmyrdDUpRSlMiSEleOpGAdtxQnh3eHnHY8W5Wp59jl75lEkqW0FdCoY2zg/VUB8T7reNS8M+Fsy8yXFTFm4spfdOVqSh1lKFEnqcAb9dqkHihw9i8GOFN5k6Ou1zem6gkQol3kPvZOAHFkjlSCnnLgSdzsR78zu9JRRiGN03+SRzmgVx9L9pJN+OenwnHSGsDGuk+p5IHHg1d2nmzosyS8mLqrTz6opCZCW52S0ScAKGNvprL/AKOb+oJcD8D2coKzK9oHdJA9TjPr5VAeoOH3Cy2cF4esbRrUvajlIZS9CElCg6tShzsloeJPJ87J2yn3is2tbtc08JOGWmVS3YdknNSFy1ozyrKXwncdDypUTj3+6rX9lQTOZ/TzHmRzDuZVbWlxI556cKcaIx9e28/cQbFdBZrnlTVOY0vpHR141td5Vu1I1bwhDce3XA4UoqAUkqTjxb5A9xrJEvUnXXBORfeFDkbTF3nObofmgrbS2+pBBcVnkKkpODjz+mmbr7hBws03wj1FO0XfHp7zCLfOd5Zzb450LcQ2tQA2Cg877iUjGMHLOiaJs9t7Ldy1swp83C+ymGZKFqBbAYnqQjlGMg4G+Sal07Q9NdAySJ7t/vNYC5vkDgtuq6n+E7FwcYsbIxx3e4ACRx07i+inm4aQ1ZeNI6cTe7nAl3OLFULhcu9CWT0x4gMq+OMbE0343Dq7XRr2mx3ey3ZoOci3Ic0LSg+84HpUR8QrrcFcNeF2lXpjsKxzYRclODOFKDoTlQGx5Ekqwdt6e+vNLaQ4T8J9QP8ACjUD0h27C3sXJxuch5SGeZzlXlGCjn5lA+R8sVRyPTDHOY58n1zPIbTfpAD9ps3x5AHwq79L+23/AFPcQOOBzVnx+SczWhFPylWyFqvTsq4t5zCanAu5HUcuOvxxVvEC88UdJXK2aB4SaRklbzTapl6VAU40p1ZxjnIKUhIAJJO2QPLeFGOHV9k8P7Nerdp/Tdo51oej39eoEsvuLJJIKVqCUq2PhxlPL8a6M13Jv6uAHtcnVkO0XdVvhFy5+1qSzzhxsqUHGgonnGQOUHJUB0p7tHxdGzInRObNbiynCwDwNxDSbHPT45CWXEiwpmU4PsltHsfPBTM4bcR9Yam1tdOEXFSPDkXGO04WZsdCUqbdQArBKfCQUkEEAeh61uuKWhakKV81RSfopO4S6U09oDSaeJSLonUWoLz3sYzW3luR2VFRyBzpSvmOBnmGcjGw3NypXMTnfJyfjWN6ldh/1xbht2gAA8UC4cEgdgT2VPVPZOSRAKAoHiue9BWyHPwiTnzpQ7zKB8KRZDw5h5b0ooeHdp38q50Ed1nkLIrerFJrI2Qobb1VSdqUjhNtNPiK8WdLSG+heeYQn/ESo/Yk02rEnwY6bdaXOKyijTccjqJ7X/KukC1PhKEJA3VvkdAMVjagamXU6MKiJ+U74pPdgFRIxjeoq46tS4unp0uEFBwRneTHkrkOPtqTI0jCBvSVq22NX+0vQltBfeJKdzVPfS1NlryV1bfFWy+SkMhfMFEJyd0oScAZ6+WSaw2vVy7lMYauTgUhKSEpKQOVOCBjHn+mn9xz4SyrNfZ6Ho5aUytbjT5yEut5yEn3jb4lRqG12sRX4MkvKSw4g87gGe6UFA5I8/hv0rSxwxzQsacODqKcdtv0eVLbMeKzERlZb2yt0JWcgnzUQDt0wn6/UP7k7LTcrLxHuiSvEiTa8BRzygIkbA+Y3z9Ncldn/sscNm9Eq7RnaDvcqDw8iyimzWmHluZqKUCSplpWQe5JQfGkgkc3iQElVPe6fdI9S6AUrSnA7hno/Qen2Fj/AFZi3LlPjbCecgoSpWBk+DO3UnatCCANPuHhZmXkB49lnJXr0Ka2v7/fNP2+FIskYK9onojypJhOzBDYKFqLhYaIW5laUN7EYLgUdkkHz24U/dTddsyYbvE/Slpv1ikFPezbI0qNLZSSRzd2txTbnQnGUZ9Qa9F9Gax0zxA0vbdZaRurNztF1YD8WU30cTkg5B3CgQUlJwQUkEAirfVZtVwVC9j4g8arpoNMaTZZ8G9taYZmuyZFlcU6ZYix3FFKQUhS1OLeT3fdp5VJwAopKaXbjxG1/O1YNP2qyXMQApazOFldZSA2UI5eZRWFhfeFYOEEBA2Oc1MuEH0oIQTuBmm7flO3fChG08TuKS7fNFw0k+w5b47YWp+1OleQ60gLSUrCXi42px3GGgggJJOFKDmv+v8AV9uj6Yl2/TkyULtEQ7JjptD3fpeV3eG1pKwI48S+bmUtSOXJBCVGpJPKNzjbzo8PuoAPlG6+yg65cSeJzMePcocBxwssy8ITpyaETn0sR3G2C3kuMqLq3WgskjIOQSMUrN6/4nNXa0xpmmsx7nNfQe7tbuGmkTO5CXHC54FdyC7zchCsjACUqUZawgegqvhzviivlG74UQ3TXmu7Hqi729uyXSbGVf2mYQ+R1utGGY0Dn5XUKTgBx2Srm5XN0qyQEEVl1PrbXGl7jqbuWJc9CJjarXHasLz47gw0qIDiHEpUFPJWnbKgcjlPMnEsYQN9qMI93rS0ksKDbtqzjBfLalcaG/Z3Jyboy33FrfUuKhqXGaaUvmV4lrbW8tKhybAkA4JG7K1NxAunyzYbWq8QTZ2eZiW3aiyuS6FrZS1zvd+FJJLTqlgc3KknHKsVMvgI8sVUhJ64pA1KCte2tSmIDDE6WmVJabQh59LYbDrgSApfICQnJycZOM1s1TI9RVacmooqgIPQiq0qEUUUUIXNJJNUIJ9Kt7w+6qFwn0rPU6pxOZef4A3Zlhpbq1XWP4UJJPzkelaeneD3CBGj9Lak1TZLoqfPgIdeaYeUht1aevOkkFPUdCKcdk1ZebA04xb32w06rmW242FpJ9d6w3zUV01A609cn0rLKSltKEBKUg9cAV0mN6kycLThg4riwhxduBqwRVcK7HqEsWP7EZrkmwetjot/UbfCzWcOzw9QaXmNM2AKRAYiPltttB5NsJI/kJ28sVuXLWNsvcu6Qr7ZkzrFdkIadiOHKkhIASoH12z9AwcimjzGgkmsZ+oZMgYHPdTLI56EmyRz55VYyvNWTx0/3/tWt8Muz7HTIT8gX2QmQAAlyUR3IyDhBCsjoBvk4pwSxwon6VhaBnaRlvWSACY6lP8A4dhZJJKVZznxHfNIBPnVh9cVdl1/U5y10k7iWmxyeD0sc8FSvzMmQgukPBsc9D5SpZdN8FtN2G8aZtlmvb0LUCWUzy9I8ag0oqbAIVtgqO4wfjSgpfClWg08MzYLqLAlzvg2JJ7znLpdPi5s/POevups1YaY7W9Re/e+ZxO4Ouz9wFX+YHAPWk05OQ42XnrfXv5TluknhTddMQdCXPSMt+yW9sJjOKe/Dsn1SrOfP1386TtNp4O6DtNzsVh0zc7hEvobRcET3UnnQjm5QBuNuZRGMHON9qRnBlNJ0gYUajOs57YzD7rtpO4izV3d9et82k/qJtpYXGib69/K3mtC9nWJNNzRYtQvYPOITkgdxn0J5uYjp1PkKdVy1xpzWdruOk9Y2h5FgmpaTGahqAXFDZBSQduhCT9GMY2qLr3Leg21+VHJ52xnpnAzufqpnx9cTrbJR3y/a461YIyMgeoPrUWV6hzppWPnlcXN5BJuitODFzNRj98SWWnizz+inCTedK2bS0DRmi4cmLaoLyn1vTF/hHXCTucHHmfs2FJaZzS086HUqSTjIVkfZTEud5Zu9gVcLQ8p9thfM+gfPSnzyOu35N6bts1HJhS/abeoFtZHeN5whQ+Hl8azsjUHyTGSQ2XdT5KdBpMmXE6Uu/yXyD1UsPyASEhW43rabmp5AMmm1b7rHu8dM2KrwKJBTndBHUGt5ClDG5qQPsWFjSNcx2x45TsgKDg2rcLe1JdhV3mcnpSyUnFTgmrULgEwuLjR+9BboG7UthefTKuX/qpo2J4qYQc9BipA4lMB7Qt4ChslpLgPoUOIV/01F9glBLCd+oBrH1IVKD8LpNGNxEeCnil1QayD0Ga0Gbw0uU5EU54kjOPQHP6DVqri22wc7qIwKhjilrl7QNya1GlKhHkgQ3jvhKjktK+HOSk/18+VUWtdK8Natl7wxpceyhPtdagjXTWcq3R3sswWwwAk7d4RlWffuB/ZrnJOl3pcC1WK3KJn3uY2wwVHYLeWEo39MqTt7z6Zp46qF4vsqVd7k84XpDy31lY3JUSScHzJP5KwPR5ca8WefbTyLtHcyGVcuQhbKwtH/EB9ldvk6fFvjgxxy0C/krkIcp72vllPU8fkup+2xMhWbXtn4Haca9n03wtsUK0Qo5OynVsIdW6f6SkraSfeknzqL+C0aNoriI1qhu0Q5luvMmJHSuZOQ1ISl95TSVBPKQeUoWSBgcqPLIqWO3TaWLjrOy8crE2p6xcSbRFmtOYyG5bTKWnGTj8YIQ0fjzelcvWafpr74LJd7owi4vRrh7GiKEtSd08qkhbS9s5WsDOBnzBTVPPhJhIPFKLTZmsyNx7/AP61NHGvh9ZNOWKTrh3S0WxzL7NdZRFt89MmMl7nC1n5ieUEBRwAN1HY+UvdgPibqy38POLuhLLd347ltsq9SWtZwsRngCh4oSrIHNhs49RnGckwVxm0fc0WmBdtPxGbfaXZTxER6SAUOvYKEhROCSlBJ3wMDfFSp2QrNceHHBPi7xf1NEftyLvBTpCzIlNlpUuQvKnu7CsFYTzJyRkeBz+QrFjR43TuiY36rcB/Ki1U7JHkjbxazsdqXtFSIqFo4m3FXO0n/Zsg58z8z0xWU9qDtHE+DiPcgSrm3bZ6Y/q+tRfbEYiI22CQnHw86mDh9wz4fai0km+3LWra7yq4x4q7OlstKjtLK/GpROXeblTjkxjOCcqBHoerZ8WDlvx44I6aa+34teDZvqbWDny4uM8Uzya4/UpLV2ou0lyKUjiRcCQ3sORj5w/s+dJt47TPaiuMAqsfFucytw87a+RkeApwBu2fPem3eYUWDdp0CK/30dh5xtCwQeZIJA3HX40lWvmRBaS5jmRlBA9xqo/PZJiveYIwQQPt8grOHrfVo4nPLhuBA7/Pz8LM32gu3chXMeNr7gwBjLHzh1/2Hn+enFH7S/ayttvfl3rjFMdCGCpYAZHLjc+Luh9B6eoNSgjhJo616ct+pNZXNi32B6HHcEu3Si9OeecYSVJLZ5m+TnWSCBkJAyc5Nc96yCBpu8IZJWj2N8IJGCRynG1clNhxTEusj8jwuhHrzXsOeGLIbGQ4jjbzR88/sntYO1F2rXIolSuJ92ktSEhTRWiMhfKehI5cZx+mtq09qLtZW68omS+I0ybADwWWHUsZ5R1SSE9KYel0K+QLUgpKiIjCcD52eQVNGpNLaFl8MnNZWWKzDubUhDb8dieOVrncKUtmM4tbyMpHMHCvCs9KiZpbCzdvPI8qX/xJ1iWWZsUcVMs0QbIB/Oifjupk0F2tNWaqmtMy3JjBQlJdShCXBk/AZxt5CpytHEG93BkPi7rwR0wnI9xGNjXC/BMNL1BJDi1oIbQUFCyCCFHNdY2OUluK2xzcwSkYJG9crqEcmDkGNjzt+Ta9s9Fan/cuiRZ+VG0PO4GhQ4cR/pSQ5rC/JRkXN0K+Cf0U1dQa/wBYMtPiPfX2ylKsEJScbbeVUU9ztg8yj9NN695Ulz3g1RfkzAinFdU3Dho0wfsuWldqftAtFSFcSriSg8pPdtbkf2Kwq7VfaA8uJlyH/wAtr9So71FHMK/3SGRgszXkAe4LNJKzXSMeS0G+y4GS2vLfz/2pVV2ru0IP4z7kP/lNfqUVEayKKXc7ymWfK9EutVxjzq3J9aqPjUKthVxnzqlGRVcp8qE4BUqhBPQ1d9NUyKEt1wqEHHWsajg1k5k53qiyk4xmhKCsfMKt5gfSshxirTjHlRwlWBz5tJ8pO9KbnSkyacZzTXcoTNumtbXBmOxZaCGG1d2pYwd/Pbzpm6ksjEeP8vaePtNvdUVqLfiDHrj3fkzvSlxC0rNIfudoSXmXfFJYAz3Z2ytPu9aYml9VXLTtwIYZL8NZxJYVulY8yD5H/veqEm66euqxWxMjbPhnnuPK2rRfrlY7iq7xAMLTyOx1fNeR/SA8/wAlbrsq3XB0O2KelplZKlxnf4RhXUo/pJ9Fenp5moo9rkNpvenCHIqzh1jOHIq/Qj+ST0PTO1Mu4Q7hAmt36CxzpYVl1vcBY8xn3iq7jX09lcjeJHe6OD3UqWa9yLCtLkdZcaO7jauigPz+lSjbZkS5w2p8JznZdTzJJG/wPvHnXPtkupnttTYxcLTmxBIwnHUH31IuhL+i0Pm3znf9SkL/AAalH+BcV/0nP0H6akxZiw7HHhUNVw/fZ70Y5HVTPpxByral9SPDSVpxsBKle/FLbiByE7VuRimrkZDRpMfilLTC0Jd3FYIcaSwAfMrcSn696hezySlpAzjb1qTOOstTGmI8VJOJE1BUPUJSo/lAqIIMgIRscGsfUTulpdRozagLvJTvEjnQE8305qIO0HFQjRF1uUicSGGeZlsgciXARyqIG6t8bH6Kfrlw5WioOEEVAHao1UuNoR+3l3eUrlPixlPX9FR4ce6QK9mP2xFQ25LTJZb53+9DjfOtZ8hykjHuwB9YrZZ8akR04I52gT7+XvCPqNNbT0hcmy29K3Cpx+O1zE7YKkIH5Ob6qXGXFJSt5CgSGnVpA81OK5UAfBIr3HScCBrGSVyOn6heV5+ZLuLL46fouhuDPG/S8TRMrgpxwsj994eXkqlNrZX/AK7Zn3FKAfjHGepJKQR1URnKkKUYXYjsc69nUXZ7418NdWQHUKSIOo5jkGZF5k4CihpKipQznJCBsPCcVz9Hcy73COi32o4PolA5s/lpQjBiSWEOtoLannXfeeXmxv8A3as6h6XxdRJe07S7qOoKrY2qS4tc9OnldKNdnTTlmdj3jtV9ovTMli05SzprR76pjqwBuCopQW1qAIJ7snfZYpu8YuNCeJs2wWLTlkTp3RWm2nI1lszW4ZbCVJDjhBwpZAA92TuSSow3akoaMZtHIA4p1RyPPmIzsPjW7Fe5vYXEo6has/EKNaWh+msXSiJfueOnYD8h5+VXztSlzCQ48H9z+qVrdJQiKhtZJVgqHmCMgH6d/trZFy5S2tpCuZbXfo5TgpTt+kUkxejDY38L3l84gis8VKCY2BklhTIV0Hh2OfqrQyfTuBmyunlB3H5XGZnpvBzZ3ZEoO4+Ct9c1ppClKSsJSkLzkbA5GevuJqxM2PFBYIUot4JwBnxEhP5612EpWloEApfjBAGfnEYIH2KqwAuJwRkuRwnI8ynz+2mj0vp7YjEAaJB6+P8A+qufS2n+2Y6dR56pQevbiEKZdVJW2hSG+Tm8O48OBnHn9ppNm3CPcYb9tRFkFb7biBlI646HfbP5KqlpcjJWnCZLWcZ2Dg8h9ZH1VstNNczkhsYccQiQgdMkdR9WPrqhk+kMUs/wXf5qXF9LaXDM2WTcaIP3eP0WSKgw48aO21lIbaSFFXhCSOVJ+sYrdBlSEI/HAKfAXCeUEdfowof2TWJlISpfi/BEgg4/2SzsR8FfZ8a3oynAoB0BKuuQPxyeUp+HOE/4nxqx/amnsZ9QJP5pJvS+mTSueWnk39x7pS4W6rhweJcjTSlhLzMdsrUFDlVz4UAPf+mut9PTytsFROMDBJrzruOoPva4+IlsuBKZESMVpz5gcv5K7o0JeG58FmUheziAcZ+FeIercIQZbgzoDX7L3L0VjQabpzMTH4aL/k2paYc71Ax6bitK5N8yVHrsayW1zIBHVQx9FXz0FIKcjHSuKeu4iK4g4tQPkziJfIxTgKkd+NsbOJSv8qj9VMtwkZ61KXaNjCLxFU6kf+Kgsun4hS0/kSKipxW1dNjHdE0/C8+1CMR5UjfkrCtRJoqxSjRU9KnwvQxqWFjPnWT2oDrXmU39064pN7jh/pc+7nkfr1l/fQeKXnw70t/fkfr0z2Xq7bV6Y+0JO+ap36ema8z/AN9C4pjpw70t/ekfr0fvoPFL+bvS39+R+vSey9G4L0w9oSPOj2lPrXmcfuoHFI/xd6W/vyP16p++gcUv5vNL/wB+R+vR7L0W0r0xMhOetU9oT615oH7qBxTP8Xml/wC/I/Xqn759xT/m+0v/AH5H69HsvRuC9LzJHTNWmQMbGvNH98+4p/ze6X/vyP16r++e8Uv5vdLf35H69HsOS7gvSWbc4sCKuXMdS202MqUT/wB5pBY1RZbzzIg3BtTg/EV4VfUetedd4+6T8Sr3AcgydA6ZQlRCgtDkjmSQcgjx02m+3fr9t3vRpGxZ8jzO7f8AFUb4Zr+kK9jjDfGfeeQ7tQXp4XSd+Y5ximHrDRjWFXazxwlSSXHmUDGfVScfaK4dhfdIeKMVvu3NG6dkAdC4t/m+sL3raT90t4lp/i+0wfi5I/XodivkbTlFFlHFkuM2F0bcob0xDnyW443JRvztqKTv1rYseoPbI7lonMIRLbw24gq+eMbKA88759Pprkmf29NZzJjk5rQGm4q3d1paW/yk+uCvzpOd7amonZMC5/6PrCi4wHnHBKRIkJU4hYwptSQvHLsnb+iDud6pnT5jfC2/xiCgb5XYMewXvTd1abgNJfjzl8zrKF5UykkjKsbJUdjjOeXqNxTzZiPtNqbcWk8w8W35K4hT90B182lKWdC6cb5Rjwqf/Xqw9v8A4hEknRen/wC8/wDr1EdOnJ6D91O3V8OuSf2Xphwq4hswZLWl7y84pEpaW4MhSsgLxgNLPUZJHKfLOKmB9zlQR543GPOvG6R2+NcyUBtWhdOpSAfmrfG/r8/rT7t/3Vni/Btsa3vaA0tLWw0G1SHXJPO5jYFWHOuMfHr51qYsUrG7ZP0XO6g7Hlk3wd13Bx+1AwLjZtMpUC843IuC/UISUNp+sqVj+qajFMlCEY5tq4x1X2+eIertYO6wuGkrE285b2LcmOhbxabQ2445zDK85Up05/qitI9ubXKhg6NsGPi9+tVTJwppZdzei0dP1CCCEMeeV2lKuKQnl5+tcw9qK5+1RY0RWVDkWrH04/NTBf7a+tnhvpOyJ+Cnf1qYWvOPF816G/lCyW+MptJSCwpfn8TU+NivicC5GVqEMwppTt0nLSbBCkgglEVKfpQlSfzmnREcT3yEBPzHkIyBn5ieb8vWoHs/EK4WeEiC1EYcbQVHxlRO5zjr0pTa4vXhpYWm3xchTis5VkFZyfOvS9P17FgiayUmwPC4bLwpZnlzAp0iPqWY7uSru0Ovq9Tnof8AiGPhSjAc7tEZAxzIYK/dyrIwPj1+uoEZ43X1kDFsgnDYZ3K/mj6ff9lbCOPN+aPgs1vH4FLPVewB2I361txeqtPb1cf2KoHS8g9h+66FguqZcihKsjuS6d9/Fk/VvW3CcAEJKkpIDeT4ep5FHNc8J7Q2ogpJTY7aQlkMjJX0Ax61ka7Ruomi2r5Cth7pPIAS505cetXGesNLH/Wf2KiOk5Xgfuukoi+8Mcq2Upt1JONgN9/srNFWAY2MAL77KSP5Sic/ZXNrPaX1KxyY0/a1cgI3Lnnn+l76yI7Tmp0hAGn7Ue7JUM955526++rDfWek/wDef+JTPwfL8D910myvlQyRhBbcWkjbzUcdPcauSFM9ytByWXlNgg9UkYOf7Kia5sT2ntTgj/2cteAsLPic3OMfyqB2n9UjmP3u2s8ygvxKcPkB/K9wp396aT/3n/iUn4Pl+B+66Wa5G22ip0AMvlAJH4isAq+pWforaQVoIKuQ9y91PTlUM/lJrmD91FqnCgdO2nC8f7zy/tVkHao1TyuJXpu0r71ASSVOeWf6XocU4etdIH/Wf+JSfg2Wew/ddSMjlAaV0QSw4fMJVjlI+BwPrrajLJKUvY5lEcxx+PkpVj3c4Qfprlb91fqvBI0zaclASfE5uQc5+d1rKntbasBJ+9izg83N1c9Qf5XqBTZPWukkcPP/ABKG6Nlg2QP3S1xZu4Y41yFtFOIzcRonOMHuUHHxyqu5eBOphddMwzzArSlIX7q8utXcTLnq/UL+pJUCJHkPcvMlrmwSkAA7nPQD6qlDh12ydccOYQhQNOWeWgAHL6nAdv6qhXkeuyx58kj4j1JIXb6JIcE1L0Xr/Y3edKcdM/mpRuCedpR8842+qvL6B91E4qW8Du+HmlV438S5P69bz33Vjis/srhppJPmcOScf/krjJNMyD0A/ddWzWMUdz+yn/tPN8usbe4QBzQMD4Bxf6ahVw5qIOI3bk1xxHuEW5XHR9iiuRWSykMKeIUCrO/Mo00Fdp3VB/8AL1q+tz9atjGhfHGGu6hcrqD2z5DpI+hK6HV1xRXO37prU5/8v2r63P00VY2OVLY5Q1RRRUqnRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIX/9k=" width="302px" alt="best languages for ai"/></p>
<p><p>Python is the leader, with 57% of data scientists and machine learning developers using it and 33% preferring it over other languages for developments. Not only python is a widely-used language, but it is the primary choice for most of its users due to the release of TensorFlow and a wide selection of other libraries. We’ve also highlighted the importance of integrating advanced techniques, such as accessibility features, leveraging Apple’s brand power, and prioritizing data privacy and security.</p></p>
<p><h2>What Is the Best Language Learning Software?</h2></p>
<p><p>Some of the charts that are accessible through Plotly include boxplots, heatmaps, and bubble charts. Keras is an open-source Python library aimed at the development and evaluation of neural networks within machine learning and deep learning models. It is capable of running on top of Theano and Tensorflow, which means it can train neural networks with little code.</p></p>
<p><ul><li>LLMs are black box AI systems that use deep learning on extremely large datasets to understand and generate new text.</li><li>LLMs will also continue to expand in terms of the business applications they can handle.</li><li>Subscription options include $48 every three months, $127 annually, or you can get a lifetime subscription, currently priced at $199.</li><li>Online videos are a vast and untapped source of training data—and OpenAI says it has a new way to use it.</li><li>This program uses videos of a teacher to introduce new lessons and review concepts, then follows them up with interactive learning exercises and quizzes.</li></ul></p>
<p><p>One key feature is its compatibility across platforms, so you don’t have to rewrite code every time you use a different system. In the current digital era, the importance of data privacy and security <a href="https://chat.openai.com/">ChatGPT</a> cannot be overstated. Ensuring data privacy and security in iOS app development protects user data and adheres to Apple’s App Tracking Transparency framework and privacy nutrition labels.</p></p>
<p><p>This allows for continuous testing and refinement of algorithms, ensuring highly accurate and effective AI systems. Additionally, comprehensive libraries and deep learning frameworks simplify common machine learning tasks, making these languages indispensable for AI developers. The content is strong and the design of the app makes it so that you can pick up and practice for a few minutes per day or sit down for longer study sessions. We love Duolingo&#8217;s podcasts and Stories feature for the languages that have it.</p></p>
<p><p>This tool allows users to modify a script or transform a casual voice recording into a professional-sounding studio-quality voice-over. It is a cloud-based collaborative audio or video editor by a company named Descript in San Francisco. It has functions including AI, publishing, full multitrack editing, transcription, and screen recording. Whatever language you’re trying to pick up, a learning app can help you build your vocabulary and improve your understanding of a country’s culture and manners. I’ve tested several apps and courses in my effort to learn Spanish, and while the quality might vary depending on the language you pick, these are my favorites.</p></p>
<p><p>First in the list of top genAI tools is GPT-4 which is the most recent version of OpenAI&#8217;s Large Language Model (LLM), developed after GPT-3 and GPT-3.5. GPT-4 has been marketed as being more inventive and accurate while also being safer and more stable than earlier generations. Although it&#8217;s a standalone device that can be a great tool for translation, the X1, in my opinion, is priced too high for the functionality it offers. It does include earbuds and packs high-end technology that is powered by AI, so it&#8217;s a definite step up from other options priced between $100 and $150. This is a standalone device, meaning you can translate sounds around you, like another person talking or a movie on the TV, provided it&#8217;s loud enough.</p></p>
<p><p>It specializes in courses and lessons that teach boutique and hard-to-find languages. Transparent is better than some other language apps in terms of its speaking and listening exercises. It is more expensive than many other apps, and generally speaking, it&#8217;s more challenging. Some adult learners start up with a new language and have a really hard time with pronunciation because they continue to say the letters and sounds they see as if they were in their native tongue. Pimsleur gives you the opportunity to hear words and practice saying them before you see them.</p></p>
<p><h2>Alexa Translations</h2></p>
<p><p>Foundational skills for learning AI programming languages include basic mathematics, statistics, and data manipulation. Courses like ‘AI for Everyone’ from DeepLearning.AI provide a solid introduction to AI terminology and workflows. Future generative AI tools are expected to utilize more senses, enhance data access, and become deterministic, providing consistent results.</p></p>
<p><p>With Google Translate, converting any sentence to over 100 languages is a snap, but those who use it regularly know there&#8217;s room for improvement. However, this time, it both generated Forth (the colons are dead giveaway) and labeled it appropriately. Like Scala above, ChatGPT didn&#8217;t seem to have the syntax coloring tables for Forth, but otherwise <a href="https://www.metadialog.com/blog/best-programming-languages-to-choose-for-ai/">best languages for ai</a> it seems to be doing fine. When I last ran these tests, almost a year ago, ChatGPT got almost everything right (notwithstanding the above disclaimer). However, when asked to render code in Forth (a very funky, but fun language), it generated code that looked like Forth but labeled the window &#171;Perl.&#187; It definitely did not generate Perl.</p></p>
<p><p>For instance, a sophisticated branding effort or an approach that requires a very proprietary large language model, like finance or healthcare. Given that this app needs true developer expertise to be fully customizable, it is not the best choice for small businesses or companies on a tight budget. The greatest strong point for the Bing Chat tool is that it’s produced by Microsoft, arguably the leader in AI today.</p></p>
<p><p>The transformer-based language model is more complex than many existing language models, like OpenAI Codex, with 41.4 billion parameters. AlphaCode provides training in a number of programming languages, including C#, Ruby, Scala, Java, JavaScript, PHP, Go, and Rust. This widely accepted and most popular programming languages 2021, is used for developing web applications, desktop apps, media tools, network servers, machine learning and more.</p></p>
<p><p>This connection comes from its unique features that support quick prototyping and symbolic reasoning. These attributes made Lisp a favorite for solving complex problems in AI, thanks to its adaptability and flexibility. The benefit of this “latest data” approach is that it helps individuals in creative fields like advertising and marketing stay up to date on current trends.</p></p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="304px" alt="best languages for ai"/></p>
<p><p>It also cites its information source, making it easy to fact-check the chatbot’s answers to your queries. YouChat combines various elements in search results, including images, videos, news, maps, social, code, and search engine results on the subject. Additionally, the quality of Tidio’s output was ranked highly in our research, so even as the AI chatbot focuses on affordability, it offers a quality toolset. ChatSpot allows you to perform many functions, including adding contacts and creating tasks and notes. You can also ask it to summarize your CRM data or generate a bar chart of results to understand your company’s performance.</p></p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="306px" alt="best languages for ai"/></p>
<p><p>That mechanism is able to assign a score, commonly referred to as a&nbsp;weight, to a given item &#8212; called a&nbsp;token &#8212; in order to determine the relationship. The next step for some LLMs is training and fine-tuning with a form of self-supervised learning. Here, some data labeling has occurred, assisting the model to more accurately identify different concepts.</p></p>
<p><p>This approach not only boosts performance, but also improves the usability of the language model to user inputs without engineering of prompts. Python’s open-source libraries are not the only feature that make it favorable for machine learning and AI tasks. Python is also highly versatile and flexible, meaning it can also be used alongside other programming languages when needed. Even further, it can operate on nearly all OS and platforms on the market.</p></p>
<p><p>Rosetta Stone is often on sale, so you can expect to pay less than the list price to get it. Unlike most other language learning apps and services, Yabla takes a video-first approach. Diving into Yabla&#8217;s material is more like going to YouTube than cracking open a text book. You learn by watching videos, some of which are in the  style of a language learning lesson but many others are just interesting content—music <a href="https://play.google.com/store/apps/datasafety?id=pl.edu.pg.chatpg&amp;hl=cs&amp;gl=US">ChatGPT App</a> videos, cooking segments, travel shows—in the language you&#8217;re learning. What makes Yabla different from YouTube is the interactive questions you can answer after you finish a video to test what you learned. One of the biggest hurdles of building a many-to-many MMT model is curating large volumes of quality sentence pairs (also known as parallel sentences) for arbitrary translation directions not involving English.</p></p>
<p><div style='border: black dotted 1px;padding: 14px;'><h3>How to pick the best Large Language Model for your business needs? We asked an expert. &#8212; TechRadar</h3><p>How to pick the best Large Language Model for your business needs? We asked an expert..</p><p>Posted: Fri, 02 Aug 2024 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMi3AFBVV95cUxNVzhzTV84MzlNX0VMd240czUzbGxiTld2MFQ5T1V0Um9WTjNMRWxRYlJ1VmJmUzNwdVpyalFJSnNPblF5VlRrQzZZbnF0VEpTbTFCUzJ6NkVqM3BtT0JQTlFQbmdmQUxpT0h0Z0pDLV9va2Q4d2dXSHZJSXhyOWU4RUZTd1h6LVZYWDY2LWJPSkF4LTFwUGhqYUVESTVjZXVBZWtUZXViMXRZZUYwNjB1aER5QUNfckpzUUctRGJwUDdiSjF3cGdlVXBQbUdPS1RCVEdqdVJsZFlfZ0Jz?oc=5' rel="nofollow">source</a>]</p></div></p>
<p><p>One more top choice for AI transcription software is Fireflies, which is an AI voice assistant that helps transcribe, take notes, and complete actions during meetings. The tool enables you to instantly record meetings across any web-conferencing platform, and you can easily invite others to your meetings to record and share conversations. Hardcode the captions directly to your video, so no one has the ability to switch it off.</p></p>]]></content:encoded>
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