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		<title>adobe generative ai 4</title>
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		<dc:creator><![CDATA[Muhammad Ismail]]></dc:creator>
		<pubDate>Sun, 14 Jun 2026 23:52:05 +0000</pubDate>
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					<description><![CDATA[Adobes new AI tool can edit 10,000 images in one click Users Fear Adobe Plans to Train Its Firefly AI With Their Data The application is receiving a feature that speeds up the task by automatically selecting all the objects in an image. That removes the need for designers to manually draw a line around [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>Adobes new AI tool can edit 10,000 images in one click </p>
<h1>Users Fear Adobe Plans to Train Its Firefly AI With Their Data</h1>
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" width="303px" alt="adobe generative ai"/></p>
<p><p>The application is receiving a feature that speeds up the task by automatically selecting all the objects in an image. That removes the need for designers to manually draw a line around each item they wish to edit. The first new feature in Illustrator, Objects on Path, makes it easier to move objects to specific locations within an image. That task can involve a significant amount of work in some cases, such as when a designer wishes to place a large number of objects at exactly the same distance from one another. According to Adobe, making slight edits to a video is another use case that the feature supports.</p>
</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="300px" alt="adobe generative ai"/></p>
<p><p>The reversal removes certain reporting requirements for developers of powerful foundation models. GhostGPT is marketed as an “uncensored AI” and is likely a wrapper for a jailbroken version of ChatGPT or an open-source GenAI model, the Abnormal Security researchers wrote. Editors don’t want something replaced with an object akin to what they select to remove, they want it replaced with what is around it. But, somehow, Adobe’s AI just isn’t coded to understand this and it repeatedly generates the weirdest stuff because of it.</p>
</p>
<p><p>Firefly also works here by allowing users to expand images to fit a new aspect ratio. Before licensing the image, all Stock customers can now perform a range of “Generative Edits” to Adobe Stock images, including photos and illustrations. These features were rolled out to business customers earlier this year but are now available to all. The current norm for using AI art generators is to type prompts into its UI &#8216;ask&#8217; the algorithm to create an image, video or 3D object.</p>
</p>
<p><h2>From our editors straight to your inbox</h2>
</p>
<p><p>There is a range for this, and you don’t need to measure pixels if you roughly know what a 1024&#215;1024 block in your image looks like. There are multiple selection tools settings, and you can see changes to your selection in a live preview. Photoshop’s AI analyzes the area around your selection as well as the entire image. You may get bad results if the context is unclear, or perhaps a guideline violation warning if it’s something Adobe decided is problematic. It’s important to know that Adobe’s AI is heavily biased against women in images. The development comes as businesses face increasing pressure to deliver personalized experiences while managing complex data privacy requirements and technical infrastructure costs.</p>
</p>
<p><p>A basic tutorial on how to best prompt their AI model in Photoshop would also be very helpful, because prompting doesn’t work in the same way as using Adobe Firefly’s website. I’d rather see them make these simple improvements to the user experience before getting an update with a new feature added. Previously available in the beta online app, the fully-fledged desktop version of Photoshop will now have a tool for generating a new background for an existing photo. The tool requires first using AI to remove the background first before generating a new one. The previously-teased generative extend is arriving in to the beta version of Adobe Premiere Pro, allowing video editors to fill in gaps and extend the footage without leaving the popular app.</p>
</p>
<p><h2>Expand videos that are too short without reshooting</h2>
</p>
<p><p>Its digital experience segment saw revenue rise 10% to $1.35 billion, with digital experience subscription revenue up 12% to $1.23 billion. The company said it is seeing strong growth from its Adobe Experience Platform (AEP), as well as with Adobe Experience Manager and Workfront. Founded in 1993, The Motley Fool is a financial services company dedicated to making the world smarter, happier, and richer. The Motley Fool reaches millions of people every month through our premium investing solutions, free guidance and market analysis on Fool.com, personal finance education, top-rated podcasts, and non-profit The Motley Fool Foundation. Signed in users are eligible for personalised offers and content recommendations.</p>
</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="301px" alt="adobe generative ai"/></p>
<p><p>PetaPixel was able to progress to the purchase of additional credits with both an All Apps and Photography plan and at no point did the Creative Cloud app provide an alert that this was not necessary. To test these limits, PetaPixel asked Photoshop to generate an image at 15,000 by 15,000 pixels. That said, Adobe adds that usage rates may vary and plans are subject to change, so it’s possible higher resolution generations will cost more credits in the future, subject to Adobe’s discretion. This new mobile toolbar offers faster access to the most popular features and photo editing tools. Another much-requested improvement is direct access to photo libraries in Lightroom mobile and desktop apps.</p>
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<p><h2>General Image Controls</h2>
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<p><p>Photoshop’s existing Generative Fill feature gets new options to upload a reference image to guide its output, and to generate variant images with a similar content and style. The collaboration combines IBM’s watsonx.ai platform with Salesforce’s Einstein 1 software, enabling customers to make data-driven decisions and access actions directly from their workflows. With Generative Extend (beta), creators and editors can extend existing clips using Firefly to smooth out transitions or hold on shots longer to get perfectly synced edits — rather than reshoot something. Second, it will deliver add-ons to current offerings, such as Acrobat AI Assistant. And fourth, it will make stand-alone AI-first products like GenStudio and Firefly services. This incredible tool will reduce the time and patience it takes to remove objects from your moving footage.</p>
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<p><h3>Adobe Stock’s continued commitment to creators in the era of Generative AI &#8211; the Adobe Blog</h3>
<p>Adobe Stock’s continued commitment to creators in the era of Generative AI.</p>
<p>Posted: Tue, 10 Sep 2024 07:00:00 GMT [<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxOQ0NKWUoxZVB1YlNXQVBrVm5EckU4Z1hkYzBxaThjYThuYVJiTXNLb1d0bjdmNUpPVmo0ZmtiSmFWZjZfX2Y1SWtOT3V2ZG1RLUNWcjZaN0tMV0U3WnZBQ1dPMUFIVTdKelhhOE9QcHlUQUR4Y0pRZnd4Mm1WQ01yNUpqNTlhZEtSMGtKS0xVNVBBMUNN?oc=5" rel="nofollow noopener" target="_blank">source</a>]</p>
</p>
<p><p>For example, it’s possible to remove an unwanted object from a sequence of frames, add set dressing to a scene, or change an actor’s wardrobe. The generative fill view presents us with a separate view and a number of all-new tools for making selections in order to add or remove content from our images. For our exploration of the various additional controls and options within Firefly, we’ll start off with a generated set of images based on a prompt. To review how to achieve this, have a look at the article “Exploring Text to Image with Adobe Firefly”. Firefly is committed to providing accessible and inclusive features to all individuals, including users working with assistive devices such as speech recognition software and screen readers. Firefly is continuously enhanced to strive to meet the needs of all types of users, including individuals with visual, hearing, cognitive, motor, or other impairments, and is designed to conform to worldwide accessibility standards.</p>
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<p><p>Within the segment, Creative revenue rose 10% to $3.19 billion, while Document Cloud revenue grew 18% to $807 million. The company credited growth in creative revenue to new subscriptions helped by interest in AI features such as generative fill-in Photoshop. Meanwhile, for Document Cloud, the company said its AI voice assistant, multi-document support, PDF collaboration, and voice-enabled conversations on Android devices were all helping drive engagement.</p>
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<p><p>The company has released Photoshop with generative AI (gen AI) features, available to anyone with a Creative Cloud subscription. Our goal is to deliver the most accurate information and the most knowledgeable advice possible in order to help you make smarter buying decisions on tech gear and a wide array of products and services. Our editors thoroughly review and fact-check every article to ensure that our content meets the highest standards. If we have made an error or published misleading information, we will correct or clarify the article. &#8220;There&#8217;s so many questions when it comes to how these LLMs are trained, &#8221; she said. &#8220;You&#8217;re starting to see that nuance really become very important for a lot of enterprises. That&#8217;s why I think you&#8217;re starting to see this interesting shift that&#8217;s happening in the workflow around utilizing these tools.&#8221;</p>
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<p><p>The video model joins others such as the Image Model, Vector Model and Design Model. It offers several features that would be attractive to cybercriminals, including a “strict no-logs policy” ensuring no records are kept of conversations, and convenient access via a Telegram bot. Other updates in Premiere Pro beta include AI-caption translation, which sounds more than a little bit risky considering the unreliability of automatic translation. Meanwhile After Effects gets improved HDR support and improved caching for longer playback footage from Canon C80 and C400 cameras can now be automatically uploaded to Frame.io.</p>
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<p><h3>From impossible to POSSIBLE: Tata Consultancy Services uses Adobe Firefly generative AI and Acrobat AI Assistant to turn hours of work into minutes &#8211; the Adobe Blog</h3>
<p>From impossible to POSSIBLE: Tata Consultancy Services uses Adobe Firefly generative AI and Acrobat AI Assistant to turn hours of work into minutes.</p>
<p>Posted: Thu, 29 Aug 2024 07:00:00 GMT [<a href="https://news.google.com/rss/articles/CBMi_wFBVV95cUxQN3pMNHByZlFwaFRYSnlFTTlMalh6OTUyeXRYUFBnaEQ2RjJQdVBscWVjVkpUWmtJc1ZqOVVfc21GVGpZRWZ0OGpJdFRvT21PbkVSNVpNYmhwNEM3Qk1lNTl0dnlfQjIzMmJMeHVTSlMtVmFxdU8tV2h3dHZaTEhYX2lLVDQ0XzcxS1VCNm0zNjhlMy1iZ2NIVzAwTDJMUW40eTlTUm5QWG1RNmZVMEVvUGFDcmZqcnhkLXc0UmxaMGJsQXlyQTI3Uk12VHRUY2xmXzNWc0JVSEdlVVU0ZzFjSHRjX2tHX3cwUXZFb0FZbHFERHR3eEVRRWVaZzhvdk0?oc=5" rel="nofollow noopener" target="_blank">source</a>]</p>
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<p><p>Photoshop, the company’s flagship image editing application, is being updated as well. The most significant addition is an AI-powered feature called Distraction Removal. One way or another, AI on platforms like Adobe Stock changes how people create, edit, and license content. It’s unclear precisely how it will impact the bottom line of photographers or if the impact will be evenly felt across the  entire photo industry.</p>
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<p><p>The push to build in more generative AI tools is hardly a surprising one, with several of company’s recent announcements centered on the same theme. There were also significant announcements for enterprise brand and marketing teams, most notably a new version of the Adobe GenStudio content supply chain solution for delivering highly personalized marketing campaigns at scale. The vendor also showcased new enterprise capabilities recently added to Adobe Express, its general-purpose content design tool. Generative AI once again topped the bill at this year’s Adobe MAX conference, which wrapped up today. Its traditional Sneaks session previewed further innovations it has under development.</p>
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<p><p>Matthew Finnegan covers Microsoft, collaboration and productivity software, AR/VR, and other enterprise IT topics. In travel, generative AI’s capabilities excite consumers for price comparisons, custom itineraries, and suggestions based on past preferences. The study highlights how AI simplifies trip planning and enriches the overall experience. The study surveyed 2,000 consumers and 402 marketers to explore generative AI’s impact on brand interactions and consumer expectations. Within one year of being launched, Firefly was brought into Photoshop, Express, Illustrator, Substance 3D and more, while  supporting various workflows in Creative Cloud applications.</p>
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<p><p>Adobe’s Generative Fill and Expand tools were first released in 2023 and have received several updates since. While generative AI images can be a controversial topic, there’s no doubt users can gain benefits by utilizing AI. False positives in content guideline warnings and inconsistent results often make simple tasks, like removing an object or extending an image, incredibly frustrating. They include Generative Extend for video editing, which enables users to extend clips to cover holes in footage, hold shots longer and make transitions smoother.</p>
</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="301px" alt="adobe generative ai"/></p>
<p><p>Those artists who do use AI image generators have been trying to find ways to take back control, as Martin Nebelong explains in his op ed, &#8216;AI art is only a threat if we let &#8220;prompt-jockeys&#8221; take control&#8217;. This is where Alexandru sees the future is for gen AI, in giving artists greater control over gen AI&#8217;s output. Generative Remove and Generative Fill are technically different, although their use cases overlap. Adobe itself has advocated for the use of Generative Fill to remove objects from images in Photoshop, for example. I believe the most significant ethical challenges for companies like Adobe are mitigating harmful biases, ensuring inclusivity, and maintaining user trust. ​The potential for AI to inadvertently perpetuate stereotypes or generate harmful and misleading content is a concern that requires ongoing vigilance and robust safeguards.</p>
</p>
<ul>
<li>Another AI tool that builds on existing original content rather than creating something entirely from scratch is Adobe Firefly’s ability to turn a still image into a video.</li>
<li>Generative Remove and Generative Fill are technically different, although their use cases overlap.</li>
<li>Since many mobile devices shoot HDR photos, software has continually expanded its support for HDR image editing, Lightroom among them.</li>
<li>Final tweaks can be made using Generative Fill with the new Enhance Detail, a feature that allows you to modify images using text prompts.</li>
</ul>
<p><p>Substance 3D Viewer, entering open beta at Adobe MAX, is designed to unlock 3D in 2D design workflows by allowing 3D files to be opened, viewed and used across design teams. This will improve interoperability with other RTX-accelerated Adobe apps like Photoshop. Procreate&#8217;s CEO didn&#8217;t mince words, declaring he &#8220;fucking hated AI&#8221; and swearing that tech would never reach their app. Affinity swooped in and assured its users that there wouldn&#8217;t be generative AI on their suite of products either. When the company first rolled out AI features in Photoshop, reactions were somewhat mixed, with some creatives seeing potential and others being more skeptical.</p></p>
]]></content:encoded>
					
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			</item>
		<item>
		<title>Hippocratic AI raises $141M to staff hospitals with clinical AI agents</title>
		<link>https://ail.atlas.pk/digisure/hippocratic-ai-raises-141m-to-staff-hospitals-with/</link>
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		<dc:creator><![CDATA[Muhammad Ismail]]></dc:creator>
		<pubDate>Fri, 12 Jun 2026 19:54:55 +0000</pubDate>
				<category><![CDATA[news]]></category>
		<guid isPermaLink="false">https://ail.atlas.pk/digisure/?p=149374</guid>

					<description><![CDATA[Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. [&#8230;]]]></description>
										<content:encoded><![CDATA[<p><h1>Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers</h1>
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width="309px" alt="a16z generative ai"/></p>
<p><p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
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<p><p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
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<p><p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
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5vmisKcqsnbSF9ZdfJHXTpRSWbX+Fbe5d1HbRWXLkQfPdtacY4OnGPKtH7kj4Y+17aSvhYf1o/dkfJYWhmd3svrJWa1wVD6T9jtISJICLFSwAAAAAEACSqiwsAELCwACxDinuSAIKslsbIiq1JWRw1JXZrXmc5KqUbU4lIRN4oRFoq5psErGdWpZFFK9WyPPnK7uWqTzMoEQWRBKAsiGSQQVZBLIAlH0vZvB1KlGTjOMYKbTvdu9kfNH0nZ7iMaNCUW96jf+1fkZy9OvD9PdjgYxXim5deSNoKEVpFI8qpxqHqZT4zD9r2Of/kevc/a92M77GdR82eNS4snsbxxifMbpNV3QmS6ljCFZESncmxt35pCrc8+TJpTsO4ddXBUqjzTpQlJ85RTZnLhdC3/op/6EWp1zodVGpkz2x85xLgsdZU4pP9lLT2PP4Zw3v8RCi1ZN3l5RW/8AfmfU4mqmYU8ZTw8pVWlmcWr21t/3Y3jk458f6nimGw6mqdOhTSju1BasvgeD0X4pUoNdMqPOp8QhnhKreKndpy5q+r021PqMLKMoxcGnFrRp3TOkl35cvDGPCcN/8al/+cTelwrDxcZLD0lJNNNQimmtmjqjG3IsjaLBshsznICL3Z0042MKMDok7Ig58XWyxZ5PC6LnKdbnOVk+kVyN+I3qNUo7zerXKK3f4e534ekoRUI8kT3VWsomcnfY2VHqW8KNI+Z7Y4dvC01/Oj92R83CCikkfXdrJp4eCX71fdkfJmKlAARAsipZAASQUACQAAAAgAACAFyblQRUFK07Fm7HJWqX0FGcpXZEVcg2pRIq8InRCNiIRsJzsVEVJ2POrVMz8i2IrX0RiAZAAQLIqiwAAEEMqWZAA6KFRpW8znN6O3uVZdelpTb5lCZSsRnRUt2JtHRQxc4O6Zz6BEs2stnp7FHiSej0Z1xxVz5xsvCtKOzZzvH/AB2nNf19B3reiNo1Elq7JbnhQ4hJbq/1FKmNlJrklyMf510/1x0+jhVXLY0VRs4MHUzxT/teR6UIoxrTrLtlKFzysZSlKvShpq7q/NrW3vt7nuNaHnY7JdZ92mk+cW9pexrDxkxy/LzeI3nh8NU6Z4S8pXv+Z09l+KOjWVKT/VVHbXaM3s/wOXDVUlUw9Z2jJvxb5Z8pHnapuz1WzXXqez28Hp+r3KZjLDV1UhGV9bK/qapkdDMCC9ON3qFbUolMROyNdkeZxSq1BpPxPwx9XoWonhlqjqVeWZwi/Jb/AF3PS2OfBUlTpQhHZKxumBDuV7u+7LspKoB4naqmlh4W/ex+7I+UPqO1E70IL+YvuyPlzNQAKuaMixKM+9Q71AbEGaqolTXUC5JW5NygSRcXCAFwiAQSAFhYXBVclaocrZacrsqlcwLU43OunEzpQNm7GhMpWOHE1+SLYityOVAEgSyCIgEgAAABJBIEMglkADalt7mJrS2sUWkUaRfyZDiUUykaotYiwQzE3KiwFri5W5NwPS4RiLScX6o+iozVrnx9KeV3R0TxU2rZnY55Ybu3bDl7Zp7uN4pGKyw8UuvJHjVKrk25O7MYs6aOGlLk7F1MWbcs6ynFz0tqtn+DGGwUsybTtf5ns4fCKKV9zrjA53l/jtjwz9XwdWdPX6j3aVRSipLZnho9Xh6tSj55n9Z04st+Dlx15dkTeETGDRsmdnAqOyPFqy7zEwprXL4n+B6eMrKMW76W1PI7OT7yVas1vLfouSJVe/CKSRMp2K950RN3+yVGbqPoUc090auT6FHVXOIHh9qUlQg7/wCIvuyPk5VHyPq+1lv0aFv3sfuyPkTGXsADKpO+iMiJ1raIxlJvdlspGUIhTa2ZbvJdSMpaMAJVWS5s0jiZc7Mp3ZGUDpjilzVjWNWL5o4coylHo6DQ89X2u0XhKd92B2teZVpmazhyn5AX1I8Rnnn0QUp9EBw3N6MDKnG51x0RBfY569awrVbI45O7KG5JAIgAAABAEggkASQCiSrJIIBePUobUtvcolSuSVlAJlE2K2LkAUFizICIsGiQBSxrQ1ko9XZMoAPpuHcLhFKVRXn05I7pQXI4+GYhzpwlLmvnZ2PQSuefLf69uGteGcYamuVCxJhsjSu1Fbt2R61kvCtopJexy4SnlXePd6RX2s6Ez0cU1NvPy5bumqkXUtDEtyOzk8rtNVnHDvKm8zUbpXsm9T0uF0FToQgtElr5vmbPdR8lcsnyQ0N0w2cnfzbsoNeb2LucuvyWgG5WSM1Wa3XutSyqJgeD2sjbDw/qx+7I+TbsfV9rp2w8F/NX3ZHx7dznl7CUrlbFrFlAyM8pKgbKBaxdDFUzSMC1iwRXKRlRcWKK5URkRqok2Az7tFoU7F0SAsRlJJKIsSCGyDhpxshUqWIBByTlcgAIAAAAAIABQJAIAAABkAAa0tiAUahogFEZRYAAQAEQCAAIYAH1mGoZaVKHONOP+pnTSloAYzj0cV/G6RvRoXd3pFbvr5AHPGbrrldR1N3/AAXRBAHd5lky1PV67bv0AKIpzzScjRMAqNFLR36hJAFDvobZhJu142fkAB872sd8PD+qtP8A6yPl4wAOd9i6iWIBECUiAUXSJsQAJJQAFgAAJIBUSCAAKtgEH//Z" width="303px" alt="a16z generative ai"/></p>
<p><p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p><h2>Raspberry AI secures 24 million US dollars in funding round</h2>
</p>
<p><p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
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<div style='border: grey solid 1px;padding: 13px;'>
<h3>Investing in Raspberry AI &#8211; Andreessen Horowitz</h3>
<p>Investing in Raspberry AI.</p>
<p>Posted: Mon, 13 Jan 2025 08:00:00 GMT [<a href="https://news.google.com/rss/articles/CBMiZ0FVX3lxTE1wRXhnSzlxU0FQNG9oS0FUb25LZ0Z3cHJTbzVDSUVSTnNkckNrTGFnU1UxOHY5dlRNd3lOZ3FaaFBqSUczNjdjdVN6RGY0blNEZW8tbFVyYlRFWDN4ZmFsMngyM0FuTzg?oc=5" rel="nofollow noopener" target="_blank">source</a>]</p>
</div>
<p><p>Story aims  to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p><h2>One click below supports our mission to provide free, deep, and relevant content.</h2>
</p>
<p><p>Holger Mueller of Constellation Research Inc. said Hippocratic AI  is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</p>
</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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IHvpZs1tEiCl1KSSk+lF0skuQgKZJSR5ViSuEsmhxstJjfBM1AXTZluBhJ5UZBpAeV8YWSRjyxTxhaVlNOKdluZR5ikm6W2HGkKWCMfPV2nhjB0t3KrTSPA1O2TbfQlCcAUnt3iMy6WXe+e9LzxgkHKh5+dIsuHalL8XKcj31qw0jXbOBVB9Qb9Urcblx3AFBdZDJjgfLpPS/BZACGycela700PLIbYVn0xSjC7nhZJ46Whbrt4t7auVyQEE+tZG5jDo5m1pWPUU1blpyVPX4qkrAHXtW3b9PzGkBLRV29Kf5MbzKaK5/YnCZDQHVQH0VhkrckslMVvnUOlaTlomoUgLWRzdOop36dtSLeAtw8/MBUM1LHTt1tN1JFO+Z2k7JkGXNtqiiUwUqWelbrEqTJRzoJGBkD1p/wB+05FvMLx246fEbGRimrBhJYHgrCUqzgimxGKdmoN63NPeHwutfqrzTonSnFJkJ9kZx0pzot/TtWWyxYsZJUojJ99L0Zhp7+hoJz51kVbbPJAsFfpndSyQ2oOO6c1lEIZxy0vLt2QSroE9awtMF1wNpBIqiWg7q1rA2TeucL+djgU1Pucc5IqSrpbsMFODmkA2xI8j9VXqUDSq097puswCehFZhb+vQUuJt+FDAP1VnMDI7VK4BRglNi4wVfE1EDr0/TRTgnw+SCrmB7j9NFR2UgKqA0hKDnHbrS9pXV2rtE3EXjReqbvYJxRyGRbJrsVwpznlKm1AlOfI9KR0IzW00znyrVjiDhYjZZzpSzcHdLepNba01vORctZ6svV/ltpKW37pcHZS0JJyUpLijypJ64HSl7Te7u7GlLIrTWltytU2i0qJPxKDd5DDKcklXKhCgE5JJOMZyc00mo499bjTXTtWhFSMIsRt6AqklU8HUCbrctd2vFsuDN5tdylwLiw4XWZkWQtt5pZzlaXEkKCsk9QQadOoNytwtcNsMa11vf783FPMw3c7m/JQ0cY5kpcUQFY6EjqaarSB6VnRkH2QOlaTaOJ+7m39QVN1U8XAcd08bDbolwYCnGxz09Z7+odR222WS+6kutxt9maLFuiyZbjjcNBx7LSVEhAwAMDHQJHYAUytEP5fLTmOvbFTztdt/I1Xdmy5HU6ylxKENJ+U+6T7LY+sZ+rzqOLDDUTuLjZjNySOA+pRJXiGEAbudsB2nv8AitTarh0uW4dzjx2m5SWHieVKCErcSB7SuY9EIHmo05tZbscFPD0mTZYmllbpaphJKHTGmJTaWXgD7BfUSXMEe0pKVe6k/jf3Ptu3dvi8PegL5cmdTxWzJ1k7Cc8GM6l1oBmBzpIUsJCipSeiPxgo9E0Vibe631E4qSzbXJqnVEcvLlKfr864bG8wNllMOH9SMc/xOPbfl6l1uE4I4MEtV1nHe3If671P7vwg+88ac9K0VZtvNMxCOSPHtmmGF+CM9ClyR4iycd8qx1PQdMfUf4SDjDMkJ/ZDtngJHRJssIoHuKfCwar3ctrNZ2RBlTLI+hPoo5AHpgYPpSVGsF3kcyPiLyfDV1X4ZUUn6BXMuldKdT3XPpK6JtL4MWDVdXS/whsfUkhm18TXD1o3U8FaUtPXywRDb7o0jzd7qS4R35UqaH6KsrbNsuDzWe1qt3drI2s9a2aKopuce1XRv45ayBkh9hzC04Bye/s+1kp9quVTdrudvbPiocUB1BW2eo94P8gp3bM71bhbD62ja322vjlpmAhqUwpIcizmQoEsSGj0UhQyM/KHUpKTg1ao66SklablzAd23IB9Y3Cp1dA2ZhFrOPA24ermryCZwbq6/eJuZ/Ckb+WvfjvBr3GhNyj/AM5xv5a1919M6U1XovTfEbtchlvTGsmwLhbmXAsWa68uXoxx8kcwVhJ7HOPZKQIl+gV9F4FlvAMfoWV1MZLO4jwjrg8wd+S8VxXG8XwmqdSzabj+qN/0UyJuHBunqNA7k59Tc432q+xeODof6wdyf4TjfaqGM+6jPurW/o/wc8dfvu+qzvvbiP8AV90fRTSL5weDtoHcj+E432qDfODw99A7kfwnG+1ULZA7j6q85wchOCQcYppyDgjeOv33fVKM2Ym4XAb7gU1fdvg7/wBwO5H8JxvtVqzpXBncEeHI0DuVj3XSMP8A8qiAkAZyDXy46hppbrighCElSifIDzpfuDgrBrOsD9931R97cSdt1fcCmGLK4NIaeRnQW5fL77rGP8dbQvfB4ggp0DuRketzjfaqG48C/TI7cuHo3Vb7DqEuNutacnqQtBGQpKgzggg5BHTBrWjSmJkdqVGJLbqAtJIIyD7jgiqVNlPLOIOLKaYvI4hspJHpsVamx/G6MB00YaDzLAPkrDwNyeFG3t+ExoHcLl9DcI32qyndLhWP+sLcH+z432qrvn3UfRUx6NMBcblrr/vuUQztiwFg5vuhT+/uFwoSElK9B7hgH0uEb7VIUq4cHUxRW9obc0k+l2jfy1Dv0UfRUsfR1gkXmteP7bvqmPzliknnFp/sj6KWC3wWq76C3MP/ADtG/lr5LHBTnP3gbmH/AJ2j/aqKfoo+irH3Ewntk9931UH3rxAfl90KXm3+C5oco263HPz3SN9qvtE3gyacLre3m44J8vunGx/dVD2aPopn3DwfiS//ABHfVP8AvZXj8nutU0m9cHKkFJ0BuRg/+0432qxs3Xg6YSUo0JuVg9etzjfy1DWfdXuf3JPzU37gYP8A1/fd9Uv3txG/4fdH0UxqufBwrBVoLclWOvW6RvtVus6p4Q2UhKdBbjYSMD/LKN9qoO5hkITjmV2Gf4qM9cdOlMGQMEk2u8/3jvqn/e7FIzuG+4FP7O4PCay0Wk6A3C5T3zPjfapGlXfg6mSDJc0FuSlR64TdIwH91UM5A7ivR16ctIzo8wOM3aHi/wDzHfVDs44m8WOn3QpobvnB810ToXcnA9bnG+1SjD11wlwhhnQm4303GN9qoGwfxfz0dfQUO6PMDfs4P9931QM4Yo3zdPuD6KwS9yOFJxJQdB7h4P8A7Qjfar5Z3F4UGPkaC3C+mfG+1Vfvor0ZPZP8VM/o4wADzX++76qQZ2xbk5vuhWCk7kcKUocrmgtw8e64RvtVq/fxwkf7gdxv4SjfaqB8H8X89GD+L+elHRxgTdgH++5NOc8WfxLfcCnY604R1d9A7jfwlG+1X0nXHCQgYGgdxf4RjfaqB+oIyjofTrXmc56Uv9HWBu2s/wDxHJPvlinG7fdCnV3WXCM8lSF6C3GwrH/lGN9qioK+iij+jjA+x/vuR988U7W+6FVllP01vNJGBjpWk0QK2215x1ryeIAL0KW63GxitprsK1Gie1bjKSvpymtSK1lQkusySBWZB69E/mr1mOkgFXQe+ttowkKCVPJz6Zq6yQN2JVYxlwuAl7QLLkq+pbAIQ2guOfMO35yK6HcOVvs+hbVcNeX5tIg6Lsjt2klWPakqSShP92AfVKao1tjBZcnlxCAovLaZz7irr/FVy9yroxpfg/3EuCovO5d51vtCAk4Jy6g5+gKUce6jNc5octkxmxkJ9lwPhdNy/EKvHAHi4Zb4ElVj2F4fNXcQ2mtyuJrX946onTJiS4nLk2XjncwOyEDm5UgdBgAYAFOjQllg29CGY8VlKE4ACU9ffn31MvDnqOLZ+Dido+I22iQ+ZqVoT1JLnMo/Pntn5vWon0wVpdLiAkYPLhXmRXgNQA21l7rhQL76uSfh2/tepHEtyYqHQACQpIIpWsmwWkOn+UccFZPP7IGfSlHStz5yhvwAlRABI+apFg4irTzryojmIpGC61ZWBp4Jg3Dh80DLhqjy9NRXAfZ9poA493p9FQ5qfg720ZRclQ4MpoTG+VbYeJSnHYpz1Sc4ORjsQatjKcLqPG8FwdOuT0NNq7NpkR3ilXUAcuT3wO1RTFzD1SkYxjh1wq08BSW1v7ycJd9KpTN2tbt8tgWrPLMiqS2Vp8grCo6h/wAF6CmI4haHFIcQUKQSlSD5EdDWxtDrtzbbj30xqNlseFcbt9xZzPYram/zv1/pVLbc/wCTA86WdyrIdObiaosXIpCbdeZkVtKuh5EPLCT8xSAfmIr3/oZrnaqmjvtYOA7+BPwXz/0o0TWPhqQN7lp+I+abgBPYUpaY0tqjXeo4OjNEWN273y5KIjsJWEIQkEczrqz0baRkFSjnp0SFKISU4DJSc464H+P1V0A4AdpbZpja/wDZXmRAvUGufwvxhRyWbY2tYisI9AQVOqx8pTnUkJTjvc/5rdlfDw6DeV5s2/AdpPo5d643KWADHawtl/3bBc9/YPWtDbL4PHbe0xWZ+8N0m6yumEqXDYkvQbYyvoSEttKS48Mj/TlKSR+0FS25wm8Mrkf4mdh9ChOMBabIwl38oE8+ffmob4veLe+bf6gVtJtROjM6gYYQ/e7qttLxtqXEhTTDbavY8daCHCVghKFIPKecYqA3vFvg1eFX5vfLX3x49Qpd8dWxnv8A51VmP/aq8XwzKuaM3QnEvCmx3Be4i/oAv8l6bW4/geXpBRBguOIa0G3pvzVut0fg79GTIkm5bIXyVpm5AKcRarnLemWt5fU45nCt+OCemUKUhI7NntVGNYWW/aYcvuk9XWZ+z3y0tuNTYLygpTSuRWCFDottQ6pWOih9IF09jePy0xrLNsfEFMWzd4DfjwLnb7a4tN1ZyApBaaCg2+gkZHRK0kEYwoCvvFzvvpziAvkK+aR25esLdlgSYrt5uT7aJ9xjKSohhUZsKCW0rwtClulQK3AEJ51E72VK7NGF1cuFVkT5IgCHX30XHEOPLuvuNwsnHqTAsQp2YhTvax5II5ahfcEdq6S7QY/Yb0Uc/wCtm2/90brkHbjmE0T+IK6+bQDOzeigBknTNtABPc/FG6qztd8HPBRY25O72urm7c3go/ELApEaPETn2UF5aVrdXjGVDkTkkAEDJ5nIeaaTKtXUVNWCdQsAO291t5rwKox6mhhgIGk3JPoVMh17UHp3q4+63weibfp+TedltXXOXdIiPETZr44041MA7ttvpQhTTh/aqVzJz0OAeYUzW6W0yFTm3IbkVbrUpiQnkdjONqKXG3AfklKkkKz6Gvfst50w3M7XeKkte3ctdsbdvYR3ryTGss1uBuaJxdrtgR29iy4PpQAT2BqyWwHBLqTdays663EvcvS+n5yEvWy3wmkKuE1ogEPvKcSUsJPQpQEqWQQolHyame5fB07SSYK2rPrPWlvlkew+5MZkJSceba2gCM+QIrnK7pZwSkqTBGHSAGxc0C3qudwtmk6PsUqYBM8tYTwB4+vsVBq07xcmrPapl2fQtbcJhchaUAFSkpSSQMkDPTzNXg0z8G1bW7UlvWm716lXIPP5etkSOxHU14qvCKW3ELUg+HycwK1e1nCiOtQptnwn2DdnffeHYzUGu7+xZ9EMRGYsiM3HD8lMlTyV+KS2R0CBjlA71Xm6W8HkhkNO1+oA2u0WvwHPtIU8XR5iTZWGUt03F7E8OfJNmbwzcUMCDIuEvYK9NsR2lPuLN7sp5UJHMo4E3PbPQD89RtClInw2JrSVBEhtLqQoYICgCMgfPXaC5Wxq52mVZn1rS1LjrjqUkDmCVJ5SR7+tc+OIfgt0nsJszL17p3cHUk9+0S7VDbjTkRi0tt6cxHVzcjaVZCHCQQR1AzXO5U6U55qkwYydWstDNLQLEmxJ3G3BbGYMhwxwiXDRbTcu1E7gDlx71XvTWnNTa31TA0Loizm7X+6qIjRUq5UttpIDj7y8ENMoyCtZB7gAKUQk3k2z+D023s8ePP3eus3WV0ABXEZfdhWxo+gaaUlx73+KtST+IKVOAXa2LpfaBnc6dASm97gBNwDq0jnbtYKviTYPklTRDxH4zx9KbPF9xdal0JqNW0u0TzUW8RmQ9fL460l0QC4nLUeOhWUqeKTzqUsFKE8nRZWeTFzBmnGM44qcLwdxEdyAGm2q3FziOXPs9a08HwHDstUArsRAL7XJO9r8gDz9Sm08JvDIqN8W/YG0KEgYCxY2A58/icvNn35qHNzvg79CXBh+5bN3ybpS44Kk26bJenWx5fkMOlbzAPb8GrlHk2elU+TvBve1dPu4jfLX5mnrk314sZz/ALGJ+L/R4eKs/sHx6RoVtnad4hrniZCZEi23mFbnFKuSeYBTLjTSSEvJyDzJAStOThJSc067KmaspsFfFKSBx0OJse8c9/SrFHmDAMwO8UewD95ot6jyVRNQad1No/UE7R+tbE9Zb7bCEzIbqgrAOeVxtafZcaUBlKx3Gc4IKatHwh8KGw+8u1crWO4ukZ9zu33dnRA+3qG5xEhltSQhIbYkIQMD0Tn1qLuKzfzTPEHqXT9z0bt5NsyrEp1hy+3R9DUudEUFc0b4q3zjw+cIcQtxwKSQocg51ZtZ8Hl12Eknr11Jcj1Of2ya3844zi9VlimqK5joZtZB4t1C3nWBvv2dqyct4bh9Pjc0NK5skWm452N+G90p/wAz54S/97i5/wDW+9/4XWvL+D24W3oq2YGkb7bHlJIRIi6tuyltnyUEuyVtkjv7SVD1BqBuM/d/d3S3EVP0tpDc/UVgtEbTdqlIiW95CG/FddmBazzIPUhpA7+VR5t3xSb86L1laLhcdyr5qa3vT4sabaroGn0yGXHktqDakoStDmFEpIOMgAgiuXoss5krMKGNQVB8HZzv947V1SQdu3Y23W/U43g1LiHkyWLr3A8wW3APzSjxHcKuquH9trU9tusjU2iJDqY7091pCZlrcUcNiSlCQlbSiQnxUJThWApIBCqlnhW4OuHrdLYbTWvNd6NuVzvt1XPVLlDUt1jhwonPtpw2zJS2gBCEjCUgdKuJrrStq1xoy96OvjaVQbzb5EKQTg8qXGykqHvGcg+RFcgtrd3t49Pbe2G2aZ3d1Zarf8TTIbhxpTaWmlvZdc5QWyQC44tXfzq3hNRmHPdIMOhm68PW1FxaS07WJHGxHPdVa+DCMrTmskj6svVsADZw3vY8F0SHwfPCXjH7HNz/AOt97/wuvf5nzwl/73Fz/wCt97/wuoZ4G9091dYbxXGw603JvmoreNOyZbce4uoWlt1EiOlKxyoT1w4ofTUmcfevddaB0Do5/Qer7np6Tc9T/E5Mi3rShxxkQJbvJlST052kHt5VzlVQ41R4uMFknPhS5rfPda7rW39fYtinqsMqcPOJMiGixO7Rew47JXPwffCcFZO3Fyx076uvXf8AsuuZOinnZOkLLIfdccccgMLWtxRUpRKBkknqTUoDfjiBBz+ztrTp6ymj/e6YFtt8a1W6La4YWGIjKGGwtWSEpGBk+fQV7jkLKuNZfqZZcTlD2uaALOLrEHvHYvL82Y9hmLwRsoGaSDc9UDa3ctmiiivUFwiqs0HFDonrW+wwoe0tQFJZuiG+qBWJVwkudlFI+avl8VTGcN17uYHP47JxiTFjDLjo9axvaiYRhLCVEjoDTc51L6qUT89ZEIUeg8+1P8dkds1M8WYNzulZV9lvnlK+UHyrFlalhxL6ubOa+YlomSSORB604LdpJ1a0+KvGetWIo5ptrXUEr44gSFLnD0+uW62H/aUm4sp6/R/LVxOIGE67wX3Oby8zUbVsR97BweQIKAeox8pae/T6elV/4dtI2+2KLq0+I41H+Nds5WogA/QDipv47tbK0jtxpjh+0+kMw7lZUamuUgo5jKKVkgA9x7aeb0x7PkKt9IE5pMJpaF/nED43+YUWTKd1Zic9TGOqLn2C3yKRtgtN3uy7Xt3F0hEabCVNUqUcIbbOfaJI6pCepPvqDXOIDRWnr3cERI1xnxkSXEsuNMc3igHHMPQH31Nm72qjp/bfT+3keR4cVu0xGZhQSCpAaHMn+lKs5+aqxStTa+bS45oDScFqO26kN/HY6VrlJ5sEpCiAny6mvHjpebL1ynMkLdTVYra/f/R2piluIy+y6pXKUPIAIOO1TTc9ZW61wFXl0FTPKME9h9NUq1PadZaetsLVBMFUlaWXpTTAbR4TqjhbaQDzKwO56gnOOlWftzz2oNsodvYDaJrzKCXFgkIyMkkefzVG9/gjZbEBdO254pCl8XE6fKVatM7W3y7pxyiQ2eRJPlgAEke/pSnZd2bzepYt9+0dNs/xgpLalArGc9Qo4wD5VB2qNq96pF0Yc0rrh6PIbkKS4lLhZjqQU4T0QUrBScnv16Zz2Mu7c6b3Ks8oxtW3RF9gK5UpdeWgSkEdSVEeyoZz+boSCVOmLXR9biq7BMJNIG36KAuLWwNaK3M0vuDamlMuLWh10N9y4wtK0qSfJXb6RVheK/QFxg6ta3fiuRpGnNdpYlwpDC+fldMZsuJXgYyVBahgnIz5g4ReILRdt1vedC2y5NL+LuXdxhXJ3IMZ1wDPv8LH01KOtLTEj8Esa0uTVSntP6oJQXcFTJcccUEj0/Bvnp6Gu06NsalwzHIGR8JDod6CRa3rAXC9IWBsrMImqX//ABm49Nuaqkc5yhQ5wMIz6/44rq9w0fFxw6bYfEwA396Fo7evxRvm/PmuUIPPy8oyDXQHgD3cteqdrztPLmBF/wBDnwkx1DCnra4tSozyM/KSPaaVjqlTfXAUkn0zpnoZpaamq2DqsLge7Va3q2svNOjWqjZNPTOPWcAR6r3+KpdvWJid+dzxc+b4999c3xef5Xh+x8X/APlvi+P3OKZ/z1ezi94SdQ7jX/8AZY2niQ39QuRUR7vaXXEx/uoGhhp1t1WEB9KPwftkJUlKAVJ5BVOmtot8H7wNOs7E7g/dIu+DyLsLyI4XjPWYrEXl/d+Ny+81uZIzng5wWGCaZsb422IcbcOY7QVmZoyziPlSSeKMvbIbggX48j2WTY5c4IHNg5+mtS74Npmq6D+dnRgdvkGrwbHcANgXZpt64hbaifergwI8O2QLm8hu0NFXMpQeZUgrkKISCsEpSE8qchSyqvXFxsTpjh+u8PT+lNxZN+VeokuW7abk02uZbYqEEJdU+1yhSFOEIQFthSuVZ51ciqSPpLwvEquXDYWON7hrgLh2xuSOIHfY7bmySTJFfRwMrpHN2sXNOxG42udie71BdJdnQBs9odSuw01bCf7FbrnjrfjG311lq6dqDTuuZWl7O3LcFptkCMwUJjJUUtqfLiFl1xQAUrqEgq5Qnpk9DtoQDs1on3aZtv8A3RuuQVtP85tDA+RmvNejHBaDGsTnbXxh4a24B7SbLts8YpVYZQxOpHlpLt7ehdUuFreG7b37QwdW6hhsR71Elv2u5iMCll2QwrBdbBJKUrSUL5cnlKinJxk081vtnYtb8fczbudEQqy3LUUe6XGMr5EhtFtZlutEeaXHUpCx2KVqHnU//B29diLnnA/zU3Dt0/aM1DmptUQNH/CRfdi6utsRHr1Bta3V9EoVLtDLDWT73VtJ/rq52jjkocTr4aLbS2YADk0E/Bq2KhzKqhpZKnm6Mn02+Zsrlb1bo2rZTbC97kXWIuU1ammkR4rZwqRJedQzHZB/a87rraebsAST0Brn43xscTjN6RqBeqLJJQH/ABV2JVpaRb1td/AS4B8YT06BwuKIOCQR7NXt4lNp5e9ey9/2+t05EW5yfi063OufIEuLIbkspX6IWtlKFHuEqUR1Armk3s5vfK1INGRtldZJvinjH8N21PNwkK/HVP5fivhefiBwgjtlRCTvZBpMt1MFQ7Gy3WPN1Ejq2Ny3tN//AAsvNk+NQzQ+SgSN72AO/K9+S6obS7kWbeDbewbkWBpxiHfYgfDDpBXHdCih1lZHTmbcQtBx0yk4rmPvhuTr/Zzf3fDWm2urp1jub81xqQWUMuNvIjshxoKS4hXZTq+xHeuknD/tevZrZ/TO28iaJku1RlqmyEZCHZjzq35CkA9QgvOuFI8k4rlvxdpUrdHe0JGT90Z31fFG81mZIoaSuxOohkbrjEUhF+62k+lXczVdRSUUMjHaXeEYDbv4rrnqOVJgaVulxiuBEiPb33m147LS2SDj5xXIjWm+O9m6e2jtg1tuZdrtb7hGYmPQ1sxkNuPNFD7eShoKwHUIPQ+VddrzFXe9MTYUF1CjPt7rTKs+yedshJz6dRXHu8bf7jbbQBbtdbaavtDNrUzb5NwfsMo25LpWlpGJiUFhSVrUkJUF4JUkZycVo9GkGET1MzcULNVm6NXEOueHfwVPOs2IwwxPoNRF3ag3ssOPdxXWjZ0wE7QaHNqKBC+9u2iNyfJ8L4q3yY93LjFcvt8Pjg3z3K+P5Eg6mmZz35PZ8L+1eH9FXU4BN1I2qdn2NsJ01Cr3oBKbcG1KHO5bMq+JOAd+VLYDJP4zJPnTb4ueEbU+vNSO7sbQsNTLzJjtsXixuPtsicWxhuQw4shKX+XCFJWoIWlKOqSklUGTcSiylmN7MT6o6zCfy9h/n2bqTMtFJmDBWmiIdwcN+Pd6d/am1wYcN+zG62z0nVuv9Hm7XVWoLlGMhc+U2Q026AhIShwJAA6dqnb/ACFHDIrONtGx5f6KTf11c87LtBv27d16c0/tHuvAmPPuFxlEedboRdJ9pZkrW3E6n9sHMHHTmq+nCNw56t2ZgXPUW4eqptz1DfENNGD905EuLbmEdeRKnVELdUokqWABgJSB0JVUzZB4pUyVUVc2TwjnENY4kgE335D/AFZWsBm8YibBJSuZoaAXOAAJAANu1MLij4XdhNudidS6u0tok227wERzDkouUtSkOqktJHsqdIVnmIwQehp2/B4co2DkJSf9clyB/fJphfCHbuRXYtn2KsjyHZMiQze7+pK8/F4zRJjMEfjuvBLnXshg5Htpp+/B5AfsByDnP+aS5eWP2yKgnpqpuVxVVBJEko03udmtNz6Df9FJFNTuxw08IF2x7223JG3pFv1Tt3b4P9pd5tbr3A1a7qBm7uQWLetUC5FhCmWVOKb9kJPUF1fX30n6C4Ititv9UQtYxIN5u0+2OpkQxdrmuQyy8kgpdDeAkrSQCkkHlIBGCBUD8YPEHvzoLf8AmaK293Sl6dssbT9snJisWq3SMvvuykuLK5EdxfZlGBkDoffUKy+J3iiuDC4k3f6/llfRaWLVaYyyPQONRErT86VA1p4LlDM+M4ayWjk/YPvYF9hYEg3HZcdipYlmHA8NrXMqW/tW2udO/AEb+gq8HF9xBWTaPb+bpm13NK9banhvRLPCZUC8whY5FzV/+bbb5shR+UvlSnJPTmlDiR4EOPAht8jEVpDDSPxUJASkfUBWxJXJmz5N2uM2VOnTFBUiXMkLffeI81OLJUe/TJwPKvnyFe15FyY3KdO4yODpX21EcABwAXmOaszHH5WCNumNt7DmSeZsrJ/B+D/w93D+pSZ/3uJUrfCTDG323vX/AF4H/wC1zqir4P3pv3cP6lJn/e4lSr8JP/4vtvf6sD/9rnV5Jj3/ALgR/wAWP4tXoOE/+kHfw3/NUW86KD3NFfTFl4iiiiihCp8gc3YZrcYhvvEJQlX1UoRre2kZ5BketKbTkJhILjiE49K+WY6cDd5XvT5iTZoWnDsBUQp1XT0pdhWeIxhQTnzr2K9HkDmjLCgPSlFhpeASnAOD81a9PDEBcLOmkeTYrPGZaQAUIwfmpSjpJ7Dy/irUYU0FBKjW74zYbPhA5FasTtO7eSoPbe91O+yF08G5W5hR9mVGXFUfQp6j+4x9NSvxyoVE2t293tZYZf8AHsMnQszx2kuBp0qDiHACDhREeQAfIKz3xVatqr27EkBa1kKhSUSEAfi56/oq6OsrDbN2uFTVmlZTaZg05Oj6jZYAJ8VkZC8dRj2S51B6ZBNV+kal8dwenr2/hAB9Wx+St5CqhR4vJSP4Ov7Dv9VDd0uMLVmlLI9NjIXK5Mq6AkJ5U8qSR3x1pBh2IKUr4u6pKQcHp1PXtTf0pcnLdp61RmHkOiIyuN4iFc+QlWB3AzgYH+PV02SaqFb358x/qjmUCOxOPOvDOO69zpdAJB4BNzWVjnXa8wNMw3uZakKkvEj+htISpSicduiT9NT9oVUVrTlvLzigpCAHTjIQcdvqx+eqgt7x3LS+qrlI8Zbka5jwn1BOVBPUEjOfI4+apx07vvGuNg+9/SccPSnwhaOZhQQnAwVK6dTg9AO59O9SCMvViGrjjc65U+ItFhvRbaYmRXJJVzcoIQ5g9unSlGJY0QFqYfQQRnlOO3+PrVetU6jMKKxf23XnLsy6FOOMtlCVoHcAA/y/OalLSm4TmprM3ObkcySzyhR79B1BpkgsLEJ4lbJ5hWhuTEZekQnGxl62ykTI4HXKwCg4/rXFfnrb3dmph8MLKmeir/rVPMc5C22YqgpQ93OhIpW0npTVevdRKi6WiIeeajKLqnFpShtCiE5PN1x08snpTT4w7pZrLK0js5Y5LbqdG29Rnlo+yqY/yqWT7zjm93Piu26NcPfXZipwwdVh1n0AH52XCdIuKRUmXpoieu8hv6hV0BNKOmNUal0LqWBrPRF6etN8tiypiShPMlST0Wy6g9HGljopJ9xBCkpUE3IoyPWvrStooMQp3U9S3UxwsQV8vU1TNRyieB1nDcEK+O1PwhOgLxFRbd47XK0hdkIAVOYYdmWuSfVK2wpxk+ZS6gAdgtVSqeMDhjA5/wBmzS5wMlIlZX+9Az+auXXNggg4I9K86BIweue/nXkdb0NUMspdTTuY3sI1W9B4+1eh03STVsZpnha49tyFeTdj4Q7SMJl6zbJ2KVqO4LSQLxcIzkS1xz16hK+V99Q6HCEBBH+mDtVHtX3jUGrJN71Tqi6P3a+3oOvS5bgHO6soISlKR0QhIwlCB0SBgeZPySCSfpoyCME4B9K63LuQcMy6xzobvkcCC53EAjkOAXP4xm2uxhzRJswEHSOBt2nifguhW2vGPw52XbPS1iuu4So8232KDDksqtE4lt5EdCVpJDOOigR0OOlc7LWQuBHdCVpStGRzgg/SD1HzVsewFDCeg99BIyTnOfWm5VyJTZWqZKmCVzi8WNwO2/JGPZqmx6FkMsYaGm+yt1wacR+ze0u1Vx0puBq9dqui9QTJYjm2y3stLS3yLCmmlJIOD5+VQBxG6t0junvVrXU+lpq7jYbo/DQzILDzHickGO2opC0pWMLQoBQA6pyPI0xMp/FBr3nOAM4GMYzUGF9HtLhmLyYt4QuL9d2m1uvxHDhupa7OFTXYezDywNDdIuL36vA/oro8PfHfZIdmiaK38fkQZ0FlLMbUyWVvxp6E+yPjPhpKmHsAEqI8NXfmSTy1NVz4z+GO1QXJyt3bPNLSThi3pdlyFn8VLTSFKJPzVzDGCRnsKO/yjk1z9f0PYfU1JlppnRsJ3bYG3oP1utik6R6yGARzRBzh+Lh6yF0X0hx98POobC1dr5fLppiW488hVruNqkuSWUIdUhBWWELbypKUrwlagAoDJqhu7mobDrvd3X+qLE98cs17vbj8R5xhbYfZLLaSeRwBQBKSOo+im3zJzkJBz7qz32dt9ouQzbtwtzrVYbo+w3J+5wgzJj7LbiQpHjBhpSW1KSpKgkqKsEZAqzhmUcFyFUjEampNnNLAHAb3sTwF+W6grcwYpm2DxOCAdUh1wey/arX8OfHPa9D6Ztm3e9dvuQi2iOmHb9S2+KuYlUdsYbblsNgvJcCQEhaErSrGVch7qvFzxP7H7pbD3fRehdaOXK8zrjZ3Y8X7lTGStDNyjOuHmcaSkBKG1q6kdvWqUnXmwwwTvfDGf/d26DP9or0a+2GSOm98MJ/qeuh/vFctLgeTBiDa6CtLLODtIaSLgg2F23st5mKZlNIaWWlDrgt1bA2It22ulrTGp9TaC1RA1zoe7/cy/WpZLEkI50uNqHtsOoyA40voFIJHYEEKSFC8W1nwhm3V6ZFs3etUzRl2QEj442y5MtUn3odbClsnzKXkJAyAFr64oH9/uwp773QR/wBHLp+ooOvNhf8Afxho9407dB/eK28zx5NzNJ4eWp8HL+ZoO45XFrH4rNwJ2ZsEHgmQao/ykjb0G66nL4weGRCCo716YJSCShMrmX+9Az+aoV3h+ELsLUZ+x7FWZ+8TlowL9c4rkaBHJ822nAl59Q/pUN9jzntVGzr3YPPMN8oROR1+926Z/wDoUHX2whznfGET/U/dP1Fcrh+V8oQSiSrrjIBy0kD17Hb0Leq8czHNFogpNB7SQfZuFvS5VzutxnXy+3OTdLrdHlSp0+SrmekvK7qUT2HkEpASkBKQAkAC3fBxxKbL7TbUS9JbgawXabqL9OleAbbLey04pJQrmbaUkggetVIsMvb/AFpJftm3259qvlyYjOSjb1QpkOQ822kqcLXjtJQ4UpSpRSFc2BkA1rJISMAY99enV+CYNnjDY6OhmtFEdtA4bWtYhcNSYniWVq19RVx3fIPxc+d9lJ/FNuJpLdbiBuustCXZVzsytO2mEmUqK6wC807MU4kB1CVHAcRnpj2qjEetAX1PU0Z+mupy9g0eAYdHh0Ti5rL7m19yTy9K5/F8Tdi9a+skABdbYcNgB8kUV5kUZFbdis5TRwjbp6F2i3fkai3BvS7Vb5OnpURp/wCKPyAXVSIygnDSFEZShR6jyNPzjX4gtpN4dKaLsW3eqVXebb9SmdIbFulMhpgW+W2VlTraU/LcQMZz1qrfQJUCc5PaveYnua88rej2mrscGOOmcHhzXabC3Vt3X3suwps4TU2FnC2xgtLS2+990eZooyPWjI9a9DsuORRRketFCVVPTJmyf6EOUe+tyPZVv+3JcV19DWRAHLhKcZrfjJWrCSo18tx04J65XvD5SB1VtQGG7fhLSQKVGH3HegV0860m2my6G1kgkZreix1svkHHIf0VpRODLABUZAXblZEtPOFSkk4TSjBPiIIwcp75rEwFocw31QR1reQw82A5jCT0OKvtdpN+SqOaTslKw3Vy3OmUjCSjKFJxhK0nrj9FWD2M381JpG8QrhbriGmUBcV1DiQsJaWR7Ks90ZAOO3T3DFf24SEMJdbHNjqQaXbOA2tl9haUIUAhxHqCelb1BWRyNFFVN1xPuLHe1+fqWPXUz2HxqnOmRu9x3b2KtdxDWC0z9O6T3F03YLZamXFO2m7RbdERGYRNQSsOFCBgFxCyf6yoks8YXiLJsxOFLSrHz4/jqedhRB3D0q/tpqV9aY2poxitPKGSxNZ5vAeGfMYIPqDiq+XE3DSd7fiuqQkw3VsFaM4JSSD+cV4tmjBHYNiclNbq3u30X/0F7BlfGhiWHsleesNj7FD10t9ysWufiF2jREWKSr8FLRGLjjSj+1V1AI79uvbpVgNo7VZXS6+nW4iqQ0oBDOm3vGUUnCUpWocuCMH/ABNM1BZv8ksueE6tK1HCx3TT90TYb/47bVt8CM0pY9oqz28gMn3iufZe9l1sAiLdS3btt5eta3tLkfUt3Y01EU6lwOpZaekr5lAJJQkFKQOXOOvTy7UraCsitP6ccgnJKHnEBRPdIPf6qewlGHaXm5MtHM1lBwnl6+7t6U1beoy0LaQokLVyghXYE9SB9NI5lxcpJZmNfZgUz7T6xj7UaEvu59ytzk5c6UzZ7dFDnhGQtOVue3hWEpBJKsHqMd6jW66v2Vmvy7xO4ckypMl1cmS87qh8rdcUSVKUfB6kk5NSpxEQrNB2s26GmHUPWJtTjKHGlcyFOKaCsk+aiUuk+/mqA1JjqYW2TlJTjFdnl5ppacTQuc0u2u1xbsDw2Iv2rzjHnitqS2ZoNvzAH17j1Jx2PUGxN7aLrXDdHbA6YOp3z/eaVZi9i4sVcocOsdYQM4GpX+v9qqJ9OzWrPdX4angEHqCfKnZK1TZzHWyp3mUU9xW/UVOItl/ZzSlp/wCY/wCqxIqeiMZL42X/AHW/ROmzzOH+6RvHPD2y0c45fvjfOP7WKzXNWwcCIqS3w+R3inry/fI+np+SNQ1a9XJtD8pjlJbUr2DWxI1rIuLDkZtrAIxUrm4r4Tq1Elv4j/qmf7Bpt4Jl/wB1v0Uv208PtxhplDYKOjPdP3xvnH9rrO6zw9MpKlbFRe2QPvjf/V1XeRrC4WVkpW+W2x5ZpuTN0myvLk1RGcn2vKrLKPFpSSKqS377/qoX1GHsFjA2/wC636KwLetOHZM52HL4eIzPhkgKGqHzzfR4Qol654a42eXh/YXjyGpH/wBVVW7luDHfdK2Arr1z50jydaTpAIZaPz1sRYbWP3dUS/4j/qs19ZTDZsLPdb9FaWTupw5MkhHDg0sjy++d8f3mkuTvZw8sZxwyROn42rZCf7xVUp18vb/TnKB7j1pJX90ZPVUpWP6arTaCZvGaU/3j/wDMqxqozwjYP7DforfRN7Ng5y+SNwvwVn3awkf4PW1J3Z2Qit+I5wrxMD/3vkf4PVS9O3KTY5iJCSVhPdOehqZ7bf7bd7Wh15KU8yevz1BPFNCQPCSn+9k/zKWExSDzGe436KUou6ex82MX2+FqIQU5x990j0/4vVLOMZbKuJ3cJTEUsNm5IKWgeYNp+LtYTnzwMDNTS9eY9ocdVHeBa9pWP4qhLjAX4nEpr138ee0f/lmjXK5hilY+Nz3uN7+c5zuz8xK6HBDGQ/S0DhwAF+PZZWWV8Hrw8aZ2+0ZrfdbiyGjV6ytMe4xmbhAYbQpS2ULcQgqcHMElwD6qhfiD4eNgdvNPWSXsXxJQ909QXa8tW1VmhMM+K20tpwh0BtaifwiW0Yx3cHWrucRN54SbRsJsKrik0hqq+Id0wwLP9wn1NlpXxSN4vicr7Wc+xjv2Paqx7dXrhAunGbso9sDpPUdi063dii7o1A8pwuTSFfFFI5nnfZDhb8wM4yOlcTDNKRqJPPkLLrHRxizbBLlq+D02k2t03b75xh8R8HQFzvTQchWG3KZVIbx8orWsLLmCQFcjXKk/tzmmDxH8Ckjarb9vfDZ7ci27lbaSVIJukTk8aElSuQF3w1KbcTzEJK0lJCjhSE960/hLU6sb4w9Y/fT8ZUwpuCqzeJnk+I/FW+Xw8+XieKD+65qmv4PtNzY4RuJSRuCmQduFWN34qHThpckQpXx0M+fMUmIOn7bl5faBp5fLHGyYuvfiNrb9ijDY3u8EW7BM7a7gO2V1Fw96U343Y4jl6Ciak52+SVBZ8BDwccSEJcWsZJS2T2HnSRunwCafibW3jeXhv36sm6tg00lSrzGisoRJjJQnmWpKm3FpWQk83IQhXKMjm7VYnTuhdmdf/BubS2ffXdV3QVjZmKfauLTSVlySHJKUtYKVDqFKOceVa+srXtHwG8IN+uW0d6v24Kd6WjBt1+eS0YLQWwsIUotpSEgIU6oJOVLUCCUhJxCJ5S6wcSb7C2ykMLNNtIsqJ8J7kRniK0LImRxKipuZU8wVFPithpwqQSAcZGRnHnV4xu7w5rkIYa4aEqCiBzffM+MfR4NUc4TWQ9xE6DZWMoXc+Uj3FpdX4haNsERCC3AaOAD1SBiumw6v8TdJ1ntJA817m9vGxCwa6l8Za0aWmxPnNB7O5OOPN4e5MRuUNgWEeIM8p1G/0/tdbrDGwTyAs7AMDP8A7xv/AKumtcYTYaQY6AhKfIV9RpTbaOVZCQB51M7FK7TqFTIB/Ed9VEKGlbs+FnuD6J2GFw/p6nYNj/rC/wDq60Z7uwcNPOjh7YcHv1I+P71TbfvsdJKGQVqzj2RmtN83KZhRgSVJJwOVpRP6KYzF6tu8tW8D+K4fNJJRUdrNgbf9xv0TgVe9gk9+HRj/AKzP/qqxK1DsGO3DlHP/AEof/U0kp0hqSZ/nWwXNwn8SKtX6BWVvbHX8ogMaMu/XzXFWgfWoCoZc30NKf9oxPT6ZyPi9RDDA7zadvuD/ACreOpNh84/yN0fHn/mof/U1lb1Dw/KGXOHeOn/pM/8AqqwNbGbqycFrRzqQfNyXHRj6C5mtpHDdunIH4S229gnyXNR0/e81ZU/SflqnNpcbYP8A9N/g9SNwaV3CkB/ux/lSfddZ8PtuZLrXDi09gjp98z48/wDgjRSjI4T9x7jHUy9cbLHJIIy+4rt/WCisx3TVkth0nHN/4kh+CXyBVnhRt9xv0XMRtzGCPWlRst+y6BzEikeEfDdLLwzjsaVo7iUyENlOUn313zDdQPsNkoJSqXynk5Snsc0oRo/jK5FOnmHTGK1Y/Iy/zlfsE5xjtTit+mL7cHBKiQXG0q6pW9+DSR7s9T9VaFNSz1TvBwMJPcLqnPNFTjVKQ0d5WW1MI8FbMhrlI+So1uRXm8Kjuo5+Xsaclj2svd45FLckSDnBTFaKkj3FZ/kqUNH8Pd+u8huLFtalLPdAbMl7Hr4aeg+kit+LL80DddbI2Nv9Yi/sCx5MZiedNM0vPcNv1UPQ49xk4Zjw1JbPny08NMaGutwdSIUNckgg8yQAhHvJPSrYaR4OL6pCJd4tjEVhGOZ+8PBttI/4NOSenkR9NTBa9p9rtHsCRc5ErUjzGMMtN/FYuR5YGSR9Jqu/H8BwVwMTjNIOzhf0fUqaPCcXxUdceDYe3j8vgmHwz7Zym7nbblLK02zTpEl6SEEJekA5CE/1xz8w69xVXtxrtBVra/tyWh8TnXOTJjqHUoC3FHGfdmuh+ntSzb5bXktWyHbLVGeLMKFFbCUpSjuTjA7nAAwBg/RzS3btd1sW7WoNKT2TyNv/AB2CsnHNHeHOMeoC/ET/AFteU5hxOfGKrxuXbkB2c/bdelZbw+LDoTTN370grtrrEkTbbLDwHUEE5+Yjyp62HcVdujJZWj8InoDydQRTOZss9KghBcSpRySk4P8A+6VrbpO5vS0h96QWlHqMefz96wg5dG1sjNmp9o1XJ1L0edkBJ6hIHtrPzep6denUVI+mLe6YS5skFpMdlSgkpwkYGRg0m6G0K2ENBiOlsgBRUoZUfpPapBfsEjUlzg7aade8ORdSUSpCc8seKMeO4P3QR0Tnuop7Cmyuc8BgHFWIYhH+1kPBPfh+21XrPhOtmi9RyFofviJV1gPOA80RxyU47GUM9hyFGR5gkedVf1LpbXWltQytN6kivQ5kNZQtBHsqHXCkn9skjqCOhro5bbTCs9thWm2sIYi29huNHQkdEIQkJSB8wFaGrdIaD3FYTE1rYG3X2wUNS05S4ge5YwQPPByK6PDMQdh3V06mnj3FcRiNIMQeXX0uv7QubitOyn3fEUsknzrZj6acCsqJNWy1Xwk3EPCToLUcOVFUSSzPUUKb9MLQlQV9IT9NNZXDLq1tZauWoLbFWO6W23HP0hNR470l4Hl1gkxWoETTwJa8/wDS0rNjwGeQ2jbf1qADphlRC1gAnt1rxdkhxx0UOverGR+GLofjeuF5PYNW7l/OXTW21wu6aBCpGpbi6fPlbQkH681wtR9ozIUA/wCOL/3Y5Pm0K23LFa7hGPaFUbVul2Lxa3GmCSsAkYFQVOs6oMlceQ2olC+XqMeddP2+G7QyUcjs65r9/iIBx+9pJm8HWy1zlmZcrfdJClHJSZykj/sgUyl+1nkXDiWuEzx3Rj5uCqVmR6+qsYy0H0/yXNhiM0D7LYz7xWWQWoSQ68lKR2zXSyNwf8PUcAL0Gp/HX8Lc5f6A4BSzG4adg4yQj9ibTb6R2EqGJH/1OaqlZ9s/KjLimopnenQ35lQw9HVbe8srR7SuWihapA50yASfQ1ux7WJKgmNCUtR7cozXVy0bPbSWFfiWTa7SNvV+NFskZpX1pQDTkjWq2Qk8sO3RWB6NMpT+gVy9V9tSj/8ArYW/1yNHwBWjH0dOHnzD2Lk/b9udXTkhUPTE1YPYpjKP8VL9u2L3UnEJjacuiEnyERwD9FdSQ2hPyUAfMK+sDy6fNXN1f20MTk2gwtg9Mh+TVdj6PaYedKfUFzYicM26slpSHdK3ZfMnGTGUB29TVZ+MNhcXia3AhvNFK2bg02rIBORGaB6V2++gfPURbm8JPDxvBqdWs9fbcszr26yhh+YxNkRVPpQMI8QNLSlSgABzYyQBknAwmCfaqbjNU4ZnpxFG0dUx3dvz1XI9VlfjykyiYfFXXJ432XLziT4qGeILb3bLQzeinLGrbu2fc9UlU3xxN/BMt8wSEJ5P6DnGT8qoEjS5kGQzOgSHo8qO4l1p9pRQttaSClSVDqlQIBBHbHSuyX8z34Rv9613+HJ362j+Z78I3+9a7/Dk79bXUx/aIyPG3SHyW/cP1Tn4FVvOoke1VQsnwkmkda6Utdh4qOGzTm51xtDYaYu62mEurAGOdTbjSglav2xQpKSSSEjtUe8SfHfe959Bxdndu9vrXtxt9HUlTlotZHNICMFDa1IQ2lLYV7XIhAyQMk4wb4/zPfhG/wB613+HJ362j+Z8cIuQP2Lnepx/o5O/W1E37QGQw7UHSe4fqnnCK4i1wuc2tuKhrWHCho3hmOjHYq9Jz/jpvHx0LEjq8eXwvDHL/Ru/Mfk++tzani1Z0lw66u4adxNDu6u0zf1qkWpSp/gOWaQoBXO1zIWMB1KHQkYAVz9+c10N/mfHCN5bXPfw5O/W15/M9+Ebz2tdA7f6OTu/5WpHfaDyM5paXScb+YfqkGC1t7khczuDeMiVxSbbxlJ50uXxtKwkn5PIvPUeWM12OZ2m0CyQoWIKIH+mSHj+YqxTQ2z4S+HrZ3U6NZaA23Yg3tppbLE1+bIlLYSoYUW0urUlCiMgqA5gCQCATmXeXrkZxjt6V4b0t9LzszVcByrPLHGxp1EXZcki2wPJauGYWKeMioAJum+3t/opsdNL244/HYC/7rNbTWk9MR+jGnbWke6I2P0Cs131BYrAwJN8vUG2tKJAcmSEMpJHoVECtxl9mSy3IjvNutOpC0LQrmSpJ6gpI7j314jNmPH5WiSarmLTzMj7H9VqCCnB6rR7AsCLRamTlq2RUY7cjKQR+atlLbYGUNhPpgYpjWffTZ/UGslbe2XcWxzNSIW80bYzKBfDjRPiIx+MnBynv0Poa83c3v232NtEK+7l377lwrjIMSM4mO494joQVcoCEk5wCfopr8OxysqWUT45XyyC7WkOLnDtAO5CXVCxusWsOKfnX1rzr6iq6624+uHHQb9uj3a/Xd9d1tjF3i/FbW6sLjPA+GrJwATynoeox1piXD4U/hzig/EdPa7uBHT8FbYyB2/9JISfzVv0PRZnHEWiSnw6UtPAltgeXE2GyikrqWPZzx7VcYfPRjPeqp7m/CF7WaE2y01ri12G5Xi76tifHbfYy6hhbDYJBVJdHOlsZGPZCyT0xgEhnbH/AAnmjdx9ZQNGa+0GvSTl3kIiwrixdBNi+Os4Sl3mbbU2CSAFDmHXryjrU0XRRm+ehkxBtE7wbNQO7QeqbOs24cQCOQPcmnEKYOEZduruk49aK8ByMg96K87tbZXd/wDQXBCXEVyJebScjvW1bvCkcri14KP01tJb5klPlSnoHTLlz1YxHUgmMz+He/dJHZP0kgfNmv2hw6B9bUMgj4uIC8TrZW08TpXcBupb2m2ik3lbcuVGQp0hLqlOjKIyfLI81n0//tXb2l4PH71Ei3e6stwoTgDofns87zoPUKQ10AB8ifLr171t8Km0tvkSUSbw0gwLK2mZLCh0ekq6pSf3KcE4/cp9TVmLxqddwCmkfgo49lLeSMjyKvQe76fKtDMmaJsKd5Jwbqho6zhxv8yePcqOB4CzEh5RxHfUeqCmpbtptodJoDYtLt7faABVKc5m8j9ykBOPopT++9u3MfELBGhW5hPZuFHSlI+oYpFnTTMfLQJKW+g9SazRbIqQ8gn5BAya4N/hanr1Uhee8rs4o4qcWgYGjuCxzZEq6oXLmyXXg0gkuPuZSgfy+4YpBuMMi0uXSYSTyqUnmPyE+Q/x99Oa9eG47F0/D5fbWFu4/FH/AO8UkbhJQ3bG7Y1keNhkH+mIT/HSsAaNgpNRcd1uaHt67boi2MvJIecjh5YJzhSzzEfWo1WTjD21ebc01utBjZTFK7RcVJHUtKUVsk+4KLg/r6sxrHVUfSVmS23G+NTCgIZjpVjJA88A4SPmqG7Tri7asXP0rueGpFouiFx3YjTQShjPVDiP23MkgEEknpVSSLXG4EK3TyGKUPHJQTabA1cYbM6IApQwTnqfmp9WSKiKyhDtvQpR78wr50/pSfpHUcnTFw9ptDn4B5KcoebPyVpPoRg05Lu19zGFlKR0HciscMI2XUgtfu3gvufqeHYLSuY8kNpQnHI2OqyegHTuTU28Pe3ciw26VrTUjKxfb4EhaXOvxVgfIZSPQDqr1UT6Cog230m9Obb3A1BFQ/GiuldsiO5CXFpP9GX5FKSCB6nr2xVlNAbhWHW0NyNb1BiXCITJi56oz2Un8ZJ9foq3HTOa3wjljYlW6wYI+HP0p3BPXyrTmLKWlKWkLwrAzW/gBJIrRdQpxtaSD3zUjOO6xivhl34v+GYcLSjjPXvW4m5x5KPBucUOJz0cSnP5vX5qTHHm0Mkr+UnpSfGkLfknwwoJ91JVYfT4hE6KpYHNPIi4PtTo5XRm7SliVppqSgyLPIStJ/0snqD8/wDEaQZEaREcLMlpSFjyIxS5HK4x8YKUF/jD+SlH7oRJSAxdmEFKugdx+n8WvnnOv2fcIxbVU4GfAS8dP4CfR+H1bdy2qXGHNs2XdM6il25aYWygybYvxme5QDkge4+dIWcDKh2718lZmyji2UavxTFYi0ngeLXDuPP48it+Gdk7dTCvFHlBJIAHcnyr5bdbdBU06lYB5SUnOD5iqb/CfboyNI7MW3QFtmFiXq+4IEgoXyr+JxyHVjIORlzwR7xzDzqFvgyd839K60uexGqZbjEW+KXMtiJJ5S1PSPwrWD1BWgc2PVBrtcM6Jq7E8ly5tifu0kiO3nMaQHOB7t9rclUfiLI6oUrh610put3tVht794vtyi263xWy7IlSnktNMoAyVKWohIAA7moog8YPDDcb0mwRt79KmWpfhpK5fhsqVnAAeUA2c+5X11SD4QvcnWu52/8AB4erJcnY9otq4bHxNLhQy/NkBKvGdH7YIStGAc4HMR1Jpwo+C0F20Im6WDX8xm/uMeKymcG/ij5xkZQhvnbST2POogHPWuhw3owyxhmD0uIZvxB0ElU3VG1jbhrTwc49/q/QqF9dUSSujpmA6eNz8F0bRIYcYTKS+gscniF0KHJy98g9sY86rNrv4Rfhq0Re5Fiavdz1A9FWW3XbRD8aOFg4IS6opSvB805B8jVed3rFvbwq8HEvb+662lTWdQ3hm1tulXKu3xVIWt5iOrJUG1+Fy+0R0WvlAyTWlwOcH23e7W3Sde65gt3EznXkIQ4VFEdDTq2glCQQOYltSio9gQB758I6OcqYXhVRmPH6p81I2QxxeB2L7fiN+HZbuvfcJJa6ofK2CBtnEXN+SuxsjxR7M7/pej7faoS7dIyPFetUxHxeYhvIHOG1fLRkgFScgEgHBIpjcSHHVthw9XVWkjbpeqNUNthx63QnA03GChlIeeUCEEjB5QFKAIJAyKa23vwe2jtrt3WNyNFaruraYjvxi3xnXikQlEYUnoOZ4EFQAWrGDhQV3qlXDZp6HvjxUzxuYhEq5XOZNnusTBzJXMLwylSCeobClEJPT2APKruXch5HxesrMYpJZJsPpYhIYz1X6jfqkjfSADci2/O26jnrKyNrYyAJHGwPKys5oT4WHR14vLcLX+1E/T1vdUEmdBuouHg581tllpWB5lOT7qkfjB4w9QbFaX0Tqra226f1Fb9ZNPvR5k0uuMltKG1IUjwlpyCHM9/KmV8IHsHs/pnh0m60tNhh2zUNllwWoMlrDa5QdkIacaUBgEeGta8AdPDz2zmkeoL5erzwn6ViXFx56Hp7Wc6Db1uAkMtPxUPKbB8k86VED3nFdZljIuSs4GizFhVIYofDGGSF7i9rurs4Em/Gxte3HbZV6irq6bXTyOBNrgjZdcNJ7nXbXPD6xudaW47N4l6W+6aE+EfCE0ww7hKVEko5z0BOcYzVENBcevEBq7azdG93O+21N3sVvtkq0uxrayhEfxJKm3yUkHnykpAyemM1arg1vtnuXCPY5M65RWoUKzGJMeW6nkZDTAbc5znCcBBzmuZnD+1IlaI3bt6Y6lNK0O9JWsJyErYcS4gH0PRf701m5ByjhD5cairKRjhT1EIbqaDZplsWgkcCBYjsKlramT9lod5wPPuVyuCrj6vGtdSHbDfm9RFXG7SALHeVoRHS48roIjnLhAKjjw1dMqVy9SU01N0t9d5NO8e03buLuDdk6bF1jxmLWZBRGCJFtQpIITg9HHeYde4qtO13DzqHdvaHUuudAtPTNQ6QnuOyLc2v8JLhBllZ8IebiD4igkdVgkDKuUFK0xuFqTXm+2jdYaxmGVdk3K0xJEpSSHH0sFtlCnPVfhoQCrzIz516kOjvLcOMYliOEMZpEL45IiB1JLBzXMHIEdnq5hZvj9R4OOOXmRY9o5gqU99dt+MbaHTS9X7k7r6odty5rUFKmNSTnGy44lS0gHIQRhJ7HoelOfhR4dt7dd3bSW/Nv1qq4xLdP+NhiTLeeeyhSkEHxDygnv5+VWo+EdjJuPCLMmDqIlytMoEe90Iz/bKRPg8NZWmw8MV11Bf5iItt058bly3lHo2y2XnFq+gJJrhZM94piPR0cWpoIhO6cwENYLFpaABvwJurgpI463wZcbW1cearn8JHr+6bmb4WnayzxXZY0dax4zDKeYuT3m/GfxjvyMpaHuIXVmfg4d+39zdp17fagneNfNGBDDa1ryt63n+gqPry/I+YJPnXPTTmuN2tW7w33ePQ2jZN8vU2ZKlPpFtdmtxRJKwEr5MBJCOZAKiBgGnDslrzXnC7v/ZNX6w09IsEW6LKbjCcaLSHoLyylZQnJwEK9oAnI5cdMiuxzJ0f0+IZIZlSHR4emia9lnAvMgBc8aeNnX/XuCqwVzhV+MG+lxsewBN/fMah0bxSbgTNOypUO7WzWN0ucN+LkOMH4y5IStJHblSc59Ac9KmjiM4obXxLcKmnW70/Hja60rqKMq7w0YQJTSoshv40ykn5ClFIUBnkUQOxTn516q1MfCRT3Mx5EC5XWM+AQFNvtS7Y0o9OygQ719cmtbji4Np+yeoFa+26tD0jQt3kFIjspU6q0SFZPgkDr4SsK5FdQPknHs82xHiOBV2JYJT4uPB1YhjlhfsLnTpfGT38QPmN4nMmayZ0W7SSCPgQrA8OfDHtHv1sNpXWOttPolX2Hb028SPGc9ploEoQUhQHRS1HOM1Wfgm220Prnfe+aH13p+Jc4TTTqG25DaV+GpD/AC5TzAjPUDtV3/g6pDzvD1bYEhtbbkZagUuAhQBccT2PXsmqs8LGhNdaE4xrxMvmj75AtLkyc2iZJtzzTCwqa2tBC1JCSFBJx16jtXmdBmGsYc04bLVEaLmEF/m9Zxszfn2BaD6dp8XeGenb4p6ccHBlqph7T2uNjdNGbabFBMSTa4wR4sbkdLiHG2sALQeY5SAT07HPSEtv+LTUW3+tI7m9Wz1nuS20hmZJ+5htl7SyOx5+iVADOEKQObtzCrv8a+0nEbrq2Qr5sNuDc4TcFlTc/T8acYnxoZyl1tYxlY7FK1AYAwfI0pvWx3GHv3f7XB3bZfbYtZUy1Lmph+I0lRTz4bi+06s8o6q74+VWj0dY5Q47leGDMtVBJEwPBu9zJ4x+hcT2ggcOKZWwyRVGqna65tyu0rq/o2/2LVOlLRqTS74kWm5QmZMFYyMsqQCjv1BwRkHrRSJs3owbe7cWTSAQ4hu2xkMNNuKypCEpCUhR9cAZ9+aK+PcRbBFWSsgOpgcdJPEi+1/UujZfSL8VxfYSVYKRnqOnrU48POk/j1yZmPtey474qiR3aa6/UV9D81QhEOFJSBnmUBj1zV1eGnRDsoxLY0jKpb7FsawOuSR4ivm9odfca/azK7BT+Gr38I2m3cTt+guV4Hj7jJ4Kkb+Nw9g+uyuxoCyL0ls1EU8fBnaklpkKV5htXVI/JN5+dRr7ecab8CJHcJK8FRJzzKx1NL+470WGmHZ45CGbVHylP4qinlH1J/TTSsPJMt8O5IHMGneRR+nFebsmdWTPqH8XEn2ru2QimiZC3g0AfVfIWpvVLtuT1QQhQ9e3WnnMlt22OEoT1x/FTAVJK9duuoOAiOPrzTim/Gro6hCFdAfa9wqwW6kl+1Z9KR1Spb90kDmWskJz5DyrW1zCkuyIchppKvBcC8HOOhyM05LNDRCi+GnrjrmvLgRIBSACKZcF/chM6ZYQ7FNykYkPq9pZUOv0eg91MPWugkXaEbrbU+HIYyQUDBHTzqXWEFKS2RkE4xWgmImM+6ytHMy/0I99SWBFkrHlpuodstumX/RovTzPifcuSWXHCnKmFDuAe/KTg+gz76ivc29z2QYUZDjq3zyobbHtLJ6AD3mrOWTSV50VdZ0i2hqfY7sSuXb1kJVzEcpUgnpzFIxg98eVJFg2etEnUczUDJXKjPD/ACuEhvlVHSoAqJB7qGSnPp89ZVTS65Lt4Lbo8SbDEWvFyOCdsDT9kmaNssCzMLMFNujiM2vAWEeGAEqwT1Hn789TTTibfX/Q2omtZ2FoOrQCHogJw6yT7afnx1HvAqXrLZIVmtjFvit+G2wnlSM5x6/Wa3ByNkgdR6GrIm0t0cVkF17ntWe23WHdbezcIbmW305AV0Uk+aVDyI9KwzZiWwUpyT7qw4S0lSGW0thZ5jyjGT616zHC1Ba/ax1wartYGnUUzUStZmE7LPiPLKUE/J9a2VpZiFKWmwCa28cozSbOWSsK9KkaTIbJLJUDYW3zAjrXhThJSPprFCeDrA69R2rO3nmU4ccqO9Qm7SQnXWW3ufFJaG8kNveyoZ6ZPakPUUT4nc3AE4Q57ace/v8AnpQXIRJJ5PlIORWTUCfujZ2Z/dbZ5F49/Q/nxXinTrlkY5leSpY39pAdYPOw2cPZv6QFsYTUeDlDTzXGHj23Gum7PFBL05p+C9dIejGm7PDix0qdMh1B8WSrlTk9VqLZ9zKTUV681NujG19b957loN7Sk+NJi+A+1CeYZdkMjKCS5nKyhHKcYyEds5J6maZ4K9ptIbjStyrGiYm6zXHHH1ynnJCl+KoKdyVKwOZQPUJGAcVKmsdqNudeafkaW1Vo20T7ZJUha2FxEAc6DlKgQB1B/k7V5lRdOeX8vUtFhdFRmWCKIRuJ6rrHz7NvY6jub8T2K0/CJpnPlc+xJuPVwXMPils+p9dSdK8bO2kJ+TaL3DhyLmphPiqs91jBKVJfSOvISjHN8nKFA4ynLxvPwqGrZu340xprbmLa9TuQ0wk3UTi8y0vl5fFaYLeeYdwFKIz3BHQ9A9udotEbWWORpnR9ojw7VKVzuQkMoSxzEYUeQADJHf1xSWjh42dYupvUHQ1shzCrmL0aM22vP9ME83565z+lXKdbBFRY3hpqGUxPgHF2k6L3ayQb307DsIHDc3m8nVDLuik0l3H09oVT9u9N798YnD5ftB77ymG5jxam6bubsFEeTHfZyUPSUtgJKHOYt4CArlK1dfZqANu90+LXgqk3TbwaCWuM6+p0RLhbXZTCXO3isOsqAUhQ64BIPfAOa61Wu0WuyRBCtcNuMyDkhPdR9Se5Plk+XSvZ9otV2QlFzt0WWlGSnxmkr5T6jI6Gsag6YoKaSpo6rDYpKCZ+sQ20hjtt224XtuBz323Uz8MLtLmyEPHMc/SuZewSeLzd7fJvdTUuqNSWaI/IZkyYzTzkNichGAiK3GBCQyAMKUsdASeYqJNOnim4Ft0rRr9/fLh7kuLnTJX3SlW63yTFlw5qjzOPRnCQChSypWMpUCT3B6dCoFltNqSpFqtsaElfygw0Ec3z471ucvlk4x2zUE3TTiMGMNxHC6eOGJrPB+CDeo5n5XdtuR5espRhUZiMchJN73537lyLuu0fGtxE3eBaN3Ljd1wYChyruzzXhM9gVIjx/luYPyinJ81AVeDS3BloORw9vbJ6lhONRZbaFtPjBkxZKFFaZQPYOlalEgdOVRQfZOKspypHZI+fHWg5JzWdmTpgxjGo4IKJjKWOFwe1sQ0gOHA7c1JBhkUeom7ieN1y0vXwb3EJp6bL0xp7X8SRpmU6VL8JyUgOjPQrjoSpBVj1VVjdleBm3aK2p1doyfP8K46vtMu2ybi6yFOBbzDjSF8gPRDYcUoIzklSiT1q35JJ70EnplRp2M9NOacbpW00r2tALXEtYAXObYgu5HcX7EkWFwRO1gH1qsnCJwqXnhonX5iTqEXaFdlpWFqbS0QpIwCEhSshQ75pL3J+D3211fukndXTVwlWCY7LbnybfHKUxVSUKCi4kchKeYgFSQQM5Ixk1a7tklWeue9BBIyDjNc6OkPMnlSXF4qgtmlGl5AA1C1txw/RT+JwCMRlvVHBMbcbaLTm7W17u1uuPGdt0tiMiSqK6WllbKkLSUqwSBzIHvx6UzdveE/bbQe2982k8CTO0tqBHJNhKlvtqcBVzKBdS54gB7EBQ6ZHY1NmFY7H6q1ZN1tkMc0y5RWAO5ceSnH1kVl0mN48ylOH0kkgiLxJpbeweLWcAODhbjxT3xxF2t3Hh6uxRptPw2bZ7MKljRNnZisS1c7jPKVAqwAFErUpRIAx1Pr5k05NbbQbcbh/F1as0ja57sQ/zu+7DaW60D8pKVKScJPTIHcgGlF/cHQcfId1rYkKHcGe1n6grNIV4342esKc3TcG0tZ7YcK8/vQa1GUWc8VrPH44KiSZ34gyQuPLiBc7bKE1FFC3S57QB3j5rIdk9tFmO49piK49EQEMyCnldSkYABWnBOAAB16AADpTzkxI8yMuJKYbdZcTyrQ4kKSQe4IPeo+g8Q+0FzQXLZrBqWkdy0w6R/c1mXvrt2kexcJbh/cxFj9NXHZCz3XuHhKCocW8NTXi3o1AW/RMGJUAF2SNt6R8k87ZY7RZgtNptrEUOcvP4SOUqxnGfXGT39azrgQnHxKchsqdHZwtgqHp1I8qibUnFBoHTURUx20ahmoQOoixmc/9t1NRXc/hDtFMJULVtvf5C0nBEmSwwP8AsleK26HoO6SMWcZIMNkN+JJaPbdypz5jwqlFpJQPb9FbTqe/018lKAoKKQFHzqjdx+EruTJUmNszHbOfZLuoFL/MIw/TTbnfCU7kvK5bZt5pyOD2D7r7x/MpA/NW9B9mXpJlNjRBt/zSsH/cqhzhhFriW/qP0XQrtRXNub8InvW8fwVm0vF9yYzqv0uUVrN+yn0hAdaOIH+I1R/fPC+Tj7Cq06EgfdDU0NtSOZtlXxhY9yOo/PiuofBxotCLxEmPtgps0FT5yOz72Rk/MFOfmrnpw8ac+7l9TJcTlpxxDXu5E+24PqCR9NdYdhbT9621k3UbyQJN5eWpHTr4SfwbY+vnV8yq/RnFZvJeWBGNnTkn1eaP0B9q8yoI/H8dJPmxD9ePxssOvXnLzcXmkrP4Z5a/nQkdB+j6qQ9DT8Wi5QlHmLD5KPzfxg0ouuFeoULBylDJ6fOcfxU1LRIVbtTagtDXspcSh9PuyD/Ga4WnZojau1edTilC1uCTqG4TR1SgoaB9c5J/ip42eQAtQPyldPoqNoc16LazPYPItx9Sz7z2/QBW0L46uMmSl5aHAeZKk9PaqxewKYQpmjnlQE+6sXhZPKOma8scz7oWqPLWRzqaSXMeuOtZHnwo8jDZPN0yPKoBxQvhSG2UEco5j50nOM4y4rqM5pTUyW2yVqypQxisC2iplWB2TT2FNWlannrlfmrYesZLS3ns+eMJA+sg/QadgQppPhrWgqSPawnl8zgY93am3opCXL1dXT8pllhCfeCVn+Kll54iSqq0o1ykdikGwW6sKKRg1r4Vnqa+mHUukJz1FZXEiovNNkDgsOT51niErQfUGsRAxX3DPJzA96HcLJAsr6w2ADWnMjl4ZR0ryc7laeU5xWxGUFMkg96UAsAci90n2aTl1cdZwpPlSrKUG4yuXushP1+dJMlv4pdGpLfRLnRXz0rSVYQ1+MTk0S2c4Ec0A7LXCA37I9O/rW7a20y2Jtsc/obqAtPz4wT+ZNJD758YNp6nNKVrkeFPZKjjJKV/MaqYlRMrqSSnlF2vBBHcRupoHljw4ck1pD8eEpQmPtM8pKTzrAAI+ekx/V+lYhPxrVFoa9yprQP51VDfEVpI6e3ImPpQBFvTabgzhPRKz7Lifn5wVfMsVEeeRxSD0wa+cqP7LGG1A8K/En2PIRtH6lx4cFoy5lkido8GNu/+Sto5uLodpPMNU25f9I94n9zmtB/d7b+P8q98/wDSMOn/APGqzRJHIcVjvUyPBiOS5CwltA5ic1r0/wBlnLjHgS1c7vcH/YfioH5mqNOoNH6/VT3qPiY2o0vCXPul1lhpH4sY5PzZxTB/yemzb6gm1wL7OJOB4bDacn+uXXOzfjdSRqS6uWeC8oxm1YPKT617sBpW4Xe8ofcDnhBQPWuzw37MGRInWqGyyAC5vIR/0gLJqM1Yi5t2EDs2+q6g2jiXsN5hCbF0tdEJIBCX1toV17diawvcRoC1JY0dnr0Lk7H5g3/HUIWhoW8Jig+ykAVtS0htfiJzhXU1Yj6AMgU8nUoyR/We8/8Acphjte+MXfv6Apfc3+vbzK1xbFb2lJGQFuLX+gpqPNT8Ue5sIrECFY2Ug4B+KOKP53CKbr8wsRisHorpmlvbfaqPru6O3/VKJUPRtmiu3G63BTK0tONNdS025jlKj1zgkhIPYlNb+HdDOQaG8kuGsIHbqP6X4nkFUqsYr5hpjkIKYrnFdveu5hEjUUJmMs9Azbmug+cgn89Lo3/3PntBadWvpSR8tDLaR/c9KXNMcSO+Oub+1p3hl210/pzTvickGMq1+NIkNDoHpC+dKGknocntnqonFPreKVw+w4lnib93m32rctQLk5jb9lTq3PUOoU24lIOQcu4VnPKrGa6kZHybTOa1uDwNvwsxj3W7S0t4d9ys6Opr3Au8Yc703A9AN9z3WUVwN4dwZ7/gv6suauuMpc5c/UBStP1LqKTH8V/Vd4KldSDOd+1WdO0ukNS2KdrDYXWs/Uv3Ib8afYLtFEa6JbAyVIHI2HOnYBGFEEBRV0puJuVuk2hmcxJbcQ+gKHXt7seo9Kufd7AYpAaOjjZ3CJrSPVpFvmpIqipDSJX3PpPxv7Ul3SNIupJkz5DxP/nXVL/Saa0uIuA6UqSBjzx3pZmXBLbn4J0Y9awybjCkxy3JUgEA4JNdRS0ohADGC3oA+AWdM4SXOqx9KQlzsjvTJ11d2VtojhZKhRqXUzNvcW3GUFlORTCTc3JNxEiYeZGQeXHauvw/DQ0+Fsudq6y4Md1M+1ccx7f4hPRw1JQex0Gaj7RdwirtzSmMJ9nGKdaZQIHUGuZxJjpahznBbtC5scLQEoTEty4y2lpBB6HIzVe9xtNGwXT40y0Sw+c5PYVOypPTFIWqLRGv9sWw6AXMHB9KMOnfRS6xwS10TKpljxVdLgIa0eyBzkdqa80rikqDYHn0px32DIsdwcgyAQUnCc+Y8qSJDYkJPMfdXaPkbUxhzDuuYawwP0u4JuvXEOnoMEd+lFbsmzNK9odQD1orFkhqy7ZabZYLKz3CrpaQixRnkxlKfcZQhCeXqXn1ZAHvxyj6RXT3UMVnSmjrRp1ogJgxUpOOxKEgZ+k5qqHB9otuZftPoWwCzFUu6uDl6J5QA19Sg2R81WT3buwXKkxy4cISlpI9PM/nJrl8+1DTXRYfGerE0fT5E+tb2UYSaaSseLGQ3+f8vUmpp+U3OvbqFHBLPs569vL89Nefzx9yHox+XIgLUjHTnLZBwPoKj9FbemXlxb208tXQnH11s7mwXbfc7VqhpJSYklClLR0IQr2T+Y1zrR1bLoybFNl+Wpc9NpUnkYitJXj1WtShg/ME/wDaFfLTvxyYGW1fzuycn5xTZmOSFbqXpwPqDci3NHwwfZKkOH2gPI+3+enBFkoZZDTQAUs4PvpNV9k6191K2jrwQyWlLy38kdaesdxt1OUkD3CoqsfNHYQnsrIzTztV0Jc5SDgUrmam3CjJTgkghwdemO1fIH4FZ9RXjjqXuXl796+x0aI9ai4BAWDRzQRJu7w83Gmz9CM//lW86OZ9Sqw6SSEsXVY/bz1Y+httP6QayqcQVKJ/GxUIP7RxTuS1Y76m55TzZApYdXkdKbjxW3NKwemRS0l4KbSoHuKdI3cFF7bLOn2q8SsdcdPKvhLmB0rEVYJA+eow26F64knzyayR+ZLSgcjPbpWlMnNwEeOtJcURhLae5NNm66o1RHSqWLQ4mO2MkITzKx82akDC7ZNJATnVJYdZTzvJ52neUgnrn5qUHZbchtCm89BjrUW/fNbrs6xdoUhPhPA8wCvaS6OikkeSgfX/APjks98kvOss+EXEE4cVnt76kdBYXSat05IzQSouPKyonoMdqzoWlThOFenavHHWwstt4JHnQyVk9Sarm53KeOOyj/ihsa7noC36sYRl2zyEpeI64adwgk/14R9dVJlyMuBR+mr/ANwszWqdK3rSskBTc+I4ykEZxzpKc/ODg1zwufjwnZECVzJkRHFsOJUMFKkEgj6xVjCnkB0XYf0Kr17BcPHNbSZ6W/byCM9euMVBXEJvIIMRdjtklIdc9lYSe1Lu524cXSlkew4PHKfYTnrVP7vdJ+qbyqS84txTqunngV0LWeDseZWS5xdcHgtnT1ul6gvCSrKudeSr1q6m0GlY1gtbboQAspB6D3VDW0W3wjMtSn2gSeo5hVhbM8mIwmOCMY8qvVLvFafwTfOPFVIR4ecPPAcE4pj3IsOJOCO59a2EzfHj4UQcCkd99LiCCfLpWrEnhpZaUr3Vig6m3Wp5rt+CkvaDSNr1vrDwdRkmyWOK9d7ihJx4rbQyGz+5JI5vUAjzyFHT++GsN69kt87xdm41u09H048nT9rjNBKYsXw3UgkjqpagAT5DGAAKTdh9U2qx7hfca+lxNt1XEcsLq0J5uRb5CWycdcFeEdPNYJ6Amke2We58NcbVG0G7OmbivSerozljRfLcscxj4X4brPMOVS+VXtNkpUMEjmxgo9onkAtuACB6Dvbv/kow8xXcOFyPaPglPTkXd1zh20DYtsb/AG3RenLqzcn9WanecbiqittyORlHjk8wKklQwkFfsAZSM1oq0btNsQLdO/YgnboWG/Mc9x1su4tKjq5x1EXkWeV7OMLdUhefkqGc0k7x7cOXPavbRjQd5XrjRmkV3VV4kxApCIy3XUuMKkxslSFJSVAkggdT0Bpb2/n632i2L3F3StlhEe3uwLeqA3PjBUObmRyrPgk4WktuY5sdQRgmp97OeDYF2/FpN3WFz51xyHZyUJHBh4gc97bdnAp/bS7cWQa/sW4Owmu2rzamJbaLnZrk74dxgw3fYdSoHHiJSlXNhXXKUlJWcZqzuD/Oe6+49ksUnw7bbtUzm4qE9EoSXCSkeWAokVKG5y4W3LO0u8e3EI6ZuOrWX5ciJBeUI0ZxsJVhlJ6paVlQU0cp5TjGKwcWVntkXdbT+rLXERDOv9Ns3e4R0DCTMRypLmPVSCgH1KMnJJqWlmMdWJC67bFu4FwQedtjxNimTMDoCxosePqPZ9FCC416dPN8eUPpr4RYpr68yLg4PmVTmahNqbzzDNfaYTYUOxroTiZaLN2WUKG5uU3kaBtck5fWpee+etNXVehfibil27mKR3FS5Eh5xgdK0LralO8ykcvqelFPjcrJes7ZLNhbDHsFGFg1WxpOGE3N7lUfZ5T5f44p+2TWsC8tJcjPhWe2KgPdJE5d1WhbBQlvoMdAabFh1ZcrA+hxt1fID1TmpqiVsztThxUULHRt0gq3qLpzdM/nr7TOyO+fpqItJbmwbs2hqS4lt3t1V3p7s3htYylaVD1BqoYr+burIktsUh7o6bZu8NdxjtgPoHkKhByQ4z+BWkhYJBFWOdmsPtqaX1Chg1C+4+nF26WZ0VHM2s5OPKrdLUOi6pVWeEP3Ca7r5Sycq6k/VRSO9MUpPKT0oq4awA8VA2n2XarhO0uxbLLddTqQEMYRb42enK20nmWfmOUD+sNaGuro5PnPylE8rzmUgn1NSDpWOnRez1ptqm/DlTo4cWkDB5nfbVkeuFAVDmoZjky7LbBwhlWOnbIryysqvKGIzVA3udvQNl3+H04paOOLsHx3W5FR4Tja/NBBzSxrF1+52otvPIMR1kJKe5B9c/PSdBxJaTnAUBg1jv0qQ3anogdSHEt5aPfHuqw1SOFyomjuKkbjSXDIK/BtakHB+US431/MfrpywVASmQoj5YPWos0xqNx3d1+3XBBS85AdRnsDhaD0+r89SW2rlldB2V0qC/WUoFmqS4jo5wEkEYHb5qdNtxjPTNMWyyOdCFE9cU8bdISAME1ZBBCrp0Rj7IJNbzZBGCRjzpFjyQUjrW80/wCzknv0qFzUL602uWi1yRHQlSvj8kq5jjIKyB193s/VWSQjwnOXxSaNML5bY8s9lypJH5VQ/irFMc/CdKgjHXKc5YljmOVH66zx3ygchORWqVk18FwoV7qn03TUttugjFfDmU+11xSezLCSAomt5mWyscquvz1EWlvBC8YS045l1OT2GR5VmnKxHUhAz0xivsFk+0MA18PqQU9SOtMFy4JQq5amtbtv32hyxdJDca6WNx4wwlKWfEZdALnbJOHk5JPfFShY5K1XmOhl3LaUDm5R060zd5JjVku2ltQFLaOWc9bXlKGSW3WlKAB8suMtU49AuqlSfjJwQpQxj9FXiOqU3mpM8RhKyEtYPurZQ6jHRI7elJUp4MrASFFR7YFZmlu8vtHHSqRjuE5p3S9aJSUXVtsk/hkFAx2zjPX6vz1RTjGt8bbDc+7XQhLMK+si6sjsA4ro99bgUo/09XNbk4ktvpJIZIX075BzVWfhY9C3O8bG2fc6xIUpem7giPcAjp/OUrCAv38r4YHzOLNMpnimq2udwcLJ1RGZachvELlxuXriZqy9uHnWppKsJAJ9aWNq9IfHJqJMhs4PbzFMzS9jeu05IKVKBVnNWW0RZWYERIKUgpHkK7GlAa01Mnq+q5qd2o+BZ61Ilhgs2+ClpKQCB0yMVuiT4K0qCugPrSfHmAthJPYVikvkHOfKs9zzK8lxVprNDRZOZE7xBkK6H0PatORILa/EH10kxZ58Pk5qzOSeZJCjkYqHzHKXzgnVpHUEW0au05fZxCo9rvMCe9nr+DZkNuKx78IOKmLdPdbc/afdvUNk1gxF1ptrq9abla7fdEBbL0ZaElxlh4g8i0OZISQocvKQBkEVoZm8pKFnoOw8jUlaS4jNU6QsSdH6h05ZdbaaaIVHt15R7UU+Xgu4VypwT7JScftSkZBHRhxB0g25XtttuD2g/wDm6Zci+5F+z593t9CX4O6Gj9L6qA4VdqtVXDW19ZLSE3N9Rg2tJ+UkNIVl8Dv7aihPfmAGK0944WqtttndeM777uxb1uLuHFgRrfp5t0Ouxm2ZPikobQeVpvqrskJ9n5SicB86H4lNub5pu86LNtZ2TuNySGYd/szLUxCR0/oqlNAo8x1AABJC0nrUeI2t4X9u7mvXu6XEdbdcuBfiuxLU98euN0WOoQsocWpIPY/JH7pPekLyyQl4ItbfzibbjfcW7r+khNDLsGmx/QD1cf8AXAqUb7tTp7U+y2y2qNydbW7SemdH2x2XdVzFhDshDiU8rLWTjmUEkeZ6jCSarhuxusd6N15OtoEBcLTNqhN2XTcd1JQv4og5Lqk+RWokj9zyjyyUjdvcm6b8bhffvd7R9zLBbYyLfp2yqA5YkVB+UpI6c6j1PpgAdBSLIWENhbScD0HlVimgOsyPPEk27Lm/Lj6e5JI7q6WDsSxGnpS4W1KGD2JNb6JSeh6YpnrkOJ9tPlShHmOKbxmrkrRxUDCnR910tJ5QR08wa1JF35gcHv76QHpa09611TT6mmRxC+pOdIbWSfq6w2+9oWpxseIofKxUJat0XKtZW400pbQ65wanV2QF5BPSkmexHlNqafbSsKGOtakUpLdDuCoyMsdQVbkPy4T/AIzKlNqSegJxUgaT3NcaCItwcOc/K8vrrLqzQjYJkwkDGc4FRtPhPQni04lSMedREyUx1N3CeAyfqkbqyEDUTU5sOsvJWkgHoa+7s2xd4S2HR3Se9V6smrZ9nWkeIpSEnsVdKlGwa0i3VCfwoQojqCatQVEU/DYqtLC+I35Jg6ntT9qluMhJCObocYop/wCqrfGu8bxuUcwI6iimyRO1JzH2HBX03M+En4Ur2+2jTu7RcZbHhpULBckcqcdThUcdTn8wqOGuOfhdb5ubc9SuY82TZLhnP5CuTXMfWgknvXk8dY+Julq9EMbXFdd7bx6cK7BIc3SIyf8AaS4n9EesGoeObhRciLXB3UekSVjPKLHcRj3ZUwBXI/J9a95letTjE5gm+AaryPcU+2kreS36qGtEx7HBCuZYt0oqezgHmAb5vXyqa0cbPDN4xcVuQrGen+U0/r/aa5X8x7ZoyT3PaoxXyA3SmJq622/jw4XI+A7uYtJHkLLcP1FOm3fCCcIyEH4xuypsj/2Dcj+iPXGnJ9aMk+dSDFJgozSsK7VMfCI8HrZ9reFWP6n7p/g1bbXwjfBylR5t3lYwMf5n7p3/ALGriVk+tGTQcTmPYjxVi7g2r4SDgyiWtLDm8nK77alJ+966nClLKj1+Le+taR8I7wbrc5k7vqI/qfun+DVxH5j60ZPrTG4jK03ACU0rCu2qfhG+DjPXd9X/AFfun+DV6r4Rvg3I/wDG8T/0fun+DVxJop/lSZJ4qxdrz8IvweHON3lfwBdP8Gr6b+Ea4P0HJ3fI/wCYLof/APNXE7PzfVRR5Ul7EeKsXbcfCScICBgbuKV/zBdP8GrxXwkfB+pPXdxXzfcC6f4NXEnJozSeUpewI8VYuqW+XHJw6ay0tIj6a3KVKnRFibBa+489BVIQsKQMrYCR2x1IHWn9tvx/8JFmtkRF+3ZMaQlCVPJ+4VyWecjKhlMcjoenp6Vxvyc5ozSnFJilFMwLuWr4SfgpBJG76lHyP3u3T/Bq13/hJ+DNzo3vCoZ6Z+966dPf/nauHnegEjtUYr5AjxZi7htfCO8FzDauXeZSlny+9269f/lq0dzuP/ge3T2U1Rtndt5ghy9WqTAaK9OXYgOFJ8JWRG6YUEn6K4lZNAUR2NRvq3yWJ5G6c2BrbjtVhNE672wsqOe5aiShwDyiPn9CKkFrfzaVkcqNU4B/9Sk/q6p2VE//AMrzJ931Vqy5iqpeQ9ioNwenab7q6LHETtM38vVfT/iMk/3usq+IvaJYx99p/sCT+rqlOTRk+tVzjNQTfb2KXybDa26uejiH2nbXkat6E/7Bk/q62P8AJG7R/wC60/2DJ/V1SjJ9aMkedBxmoPIexAw2EdqueviG2lKwpGrfrgyf1deucQ20riAFatwf+Iyf1dUvyaMn1pfLVR2D2JDhkJ7Vcc8Qe1XIUnVJ9f8AOUj9XWZviB2dKfwmo20qwOot8gZ+puqZZNGTSnHKg8gkGFwA3F1cf/JAbTjI++nIz0/nKR+rrIniB2k8MoOqh19YMn9XVNCSe9GT60vl2p7vYjyXB3q4f7Pu1H+6Yn/4KR+rr6a4gdqm1H/NMcH/ANSkdP7XVOqM0px6oPIez+aQYVAO1XJc3/2lcHTVeP8A4GT+rrRe322vJ/B6o5h/xKR+rqomTRk0rcfqm8h7EhwmnParanfTbLv98p/sOR9isDm+O2Z7akJ/+Df+xVUcn1oqQZjqhyHs/mmHBaY9vtVqHN6ttHEFP3xd/WG/9imvftdbX3VB5b8nm8j8Ue+xVf8AJoyaeMzVlrEN9n80nkSm4gn2qQrjfNNeKoRLqHWz2wysfpTWCNqu3wnQ5HnKHL6IV1/NTEyaASKrHHajVqAAPo/mpvJcFtJuVOFr3Ysgg+DOuJSvoOjaz2+iioQ5j60VbGaa0DgPZ/NVjgFKTfdeUUUVzS20UUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhf/2Q==" width="302px" alt="a16z generative ai"/></p>
<p><p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
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<p><p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes, it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
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GLfzZP3Xf+d/83i1Q8yOZqvaTil/JTnXjbXuNsSM8Yb22l+xDLigurin5NjllUE+HJ+1dDPm1cIOnGV9ba4MyfWkMmLH4/RlGSGNcJ/J8GXUdry3UoLb03buF7SvvJzSbjd+FmrCWNcUr4ZrhbiY9PhtJyW1+/j3HQ01rjzRnG5WbNa6JnPzZJHc1CdexnFyQ3Pm1z4EXlbilY5T6uveD7Ok+d4pxalWx15thPWrE2nB8eMGakcrZ+pw0s4+KZKWNr3/AKDh2jGS48r9ZUxw1UZOuj8LdksPh4ZN8DTqTvwdjxx8SvPH8VPl03+pFd7spfc73xvk5L3dEaUGKO2EYrhKKX7BQc7dqYkxPoKDCOJ9sf8AtYf34/4yPGHtPtf/ANrD+/H/ABkeNo1PGKimNCaHE0JEfEmQb5CJRHidyRBsu00erCrxDYgyBiAgYAIoYCGQAAAEhiAoYgABAAAADACE1aEl4E2RSI1BEdFU5lyKUAAMIjJEWmTZHkKSR6v7LZ4w0803X3zf/wBYnk22btBex8tes+nuRnl4s9e39Lh5gtVDzR45zkv9z/UO8l+aX6mWnsXqofmRzNXJubV8HCc3+aX6neWJzjhmubjHf/Id/wCOSurp1WKN9VFFbd2XeBnm69xpM2q2uf5K8uK1TSZc2mvaQbfg/wBrKdWGXZyu9set20mxS0y97/Q1tSfWX6LqG3jj/wDRWpxZseLby/0RqwRtq+PINnmXQpNezoRUM6VOzkVy/Js6+p6M5Hs9pzWeF3PPjXn5DnoYzX+18fMvgibx+K+nBqVLwjDDsxLwS/Vklo4rounyZqp+S/UTuvD5FtZ6KJwpeL9nkU3bX7mjI/V5MsJct+SZhrHp+8j5huXmjyq1uT8xJa3J+Y3jzPTqS80O15o8ytVk/MQz6/LHpImDb9r2vRYf34/4yPHs6PauryZMMVJ8b0/nTOXGdm4xTY0A0igItckyMiCEupsxKooytGyPRFSmIYggAAIBAxiYCsYhgMAABjIbh7gGBHcG4CQC3BuAYC3BuAGVSkWWUzDfFFl+J8FKLsXQq1MGMg2GAIEOgqNG/s9+o/i/hGFmzQq4v3kviz1PKxRdoveIXdGMaVS6Hpux3u0yvmvVZwI4zqdl51j3QlwpU0/BMN8b9dvH+GKbvwIZEPDw6+ZZlhdCt+Vk8foMeVUyjJko1K6SalNrkzPUK6XLMuq1L6L3Ilo8fKvq3yT1vMboZGaIkYwVrgk3XzNY51VqHaOZJJWzoz5dfyc/pKS8DFjc8LHqOdr4fh7TSpe05+pS/wBvX6Dw5r4fUErfLzXUqmxRyFeSRGkMkqtFElWJy8XYZZcPzFr5bMSj7l/yHHlXL3samyDYlI28rR37oTbkuSuNeZe3HbwFjHql92l/UvozFsOjq4/dr4l9GY6LGaivcFkgYERMGDAF1RsRjj1NaYSmAAVAIYAIAAgYhgAAAAZO9DvSsQFvej74pAou70O9KQAu70O9KaCiDRjycjn1KMfEkasiDfFWjRFUUY/xI0IpTIMkJhCQNiAAo26J1B/F/BiRs034H8X8IVYveVke9ZVJgmZFyztEvSmUMimFd7sPXuWTupdGm4X4PyPQy6Hjey8ijqML/rS/Xj+T2MjNbijOupzdVKjpZnwcvUx+QduNY4xuW5/I2w4SKsePmvIvp37PA1It5MmZTlK98148TcTVptcq2TbuqjKXWyEovrRhyRcm+K5LkZ2teXUU2c3UZpyfq0vO11L3jvzZB4q/5Jh2quLfiS4vgTvkrkyLrXDIRyzI4eURyEq3l8Rg+V482LNDf15JRBzRY4crfGaeBFT06Nu5CpFYxhemJwwUbVAHAqOdrfwpf1L6MwnR7RhUE/6l9Gc0BiYABFkSTIgSRashSuhCwlae8DeZrY9xWWnvA7wzWFgad4d4ZrYWwNPeB3hntkXJgau8DvDHvY9zAkDGJkVFiGxBDASGUAABA49TauUYLNmJ2kVYltrkmhTQY2FSFYxNEEaESZEqg6OghuxP439Ec46XZudRxtP87f7IlDnp2QeCRrWqjZPLmiiKwd3JEe7ZolqI2TU4kVnxXGUZflkpfoz2znaT9h5K4+Z6HszOp4Vze31X8v8AxCxeNW5p8GDUTo3ypxTOZq1QdYr9Nx4oyyZJUvqXYNdizQ3Y5Xfs5Ri1nZqz4Gnaa9aLXgcXRYc2nnJRclJOMnFdJ0+Cptj0ks76XZS8z6mVdtfeS3YYpNJOKl60H1OhLV6fu4tzguFw3yhta7sctVzXiVvUGiGo0+1evj6efJzcmvjGXEFtp9XyxqdlmXWKKt8L3EcOTvVuV0c6GnyanKpP1YLjyR6DT4IxiopcLgG2/RjhUTPlfrGrNLajCrbftM0E5UiuEiyUSuUaJrnYsiV5W4kVJojJ2yxmjv5As0rE4iiuS6iGtk3BX+b+GYWbdb+BfF/DMJYABBZURZElIIoAfQqssm+Cmys1OwsjYWESsdkLCwLBkLCwJNkJBYmAiSIE0BNAxICBMiSoVFAhioYADAAFRs0/QypF2ndS95FaJDiJkUVUxsSGREWIlIiFKi/B0+ZSWYpJJ35lGhDZneoivEi9YvAYaMruXA5bq8Sn0jxUWS9IlXSveOtO0Si5ebOv2DrO6zKMn6mT1Xb6PwZxo5ZeSQd43w37XXka6Wp2x76Xkc/VRe40aHP3mDFkv8UIthqIesmcnplRxR9X3ox6rTNyUo1ceU/I6UVSRGcbV/8AjNStxzMfdbO7yQVyl66qrvxsU+zNNuktra2p85JcfuacuKL8vczM8S55fSuosP8AHviiHZum2QaUo70ne935mfJpISdQhVN+s+XXkjf3Kpc2l0V8IJTjHhL5+BMJwz1RigoqkaMZQnbLpPbGyWnJm1M7dEY/hb9tFcndvzZmy67u8jxy/DtTTXgyZvjnbnrXFNg4ix5YuNp2vNEZZ0ZymwOJGUCMtQiHpCLGbi6uCuaId82JzZWdUar8K+IyM16p+qveY2aiGyIWIqEyUOhBli6BFc+hUWZWVlZpDEAQwAAAAAAQwSHQVFjQAgJodAhgKgoYARoKGACodDAAGnQABpjK1f6jM0ZNdC+GS+vDDWpxJkIkwhMVDEQRaKclX49C+RRm6/I1x9L4Sj7GNfD+44yCzrkYPe/Yg5q7Iy4JKRUEOopq4zXnwPxCPj7yj1/YWXdpcVccbf0N75+Rxvs3a0kf7mSv/kzprLz/AAzy8p9ezj4vIzlSJJ2VZQ3GDNZncpc+XuN866FDgn0K3lZJZGuhD1pM1uConjiupKZVWPFSK9TPii3LkME5ObfkZc+Ro5Pay+9XwK/1OvHr7jj9rP79/DE1x9c/6f6qdPqJQTS6PwL8et/MvmjEhI648+un3kWTU0ctPybJxyy8zOLrqKaLFNHMjqH4l0MyZMq6t1slsXxfwzCadQ04qvMysjUIBMAElyWWRh5jkwimb5IDaCiskA6EEAAADGRCwqxA2QUgsBkkRRIBhYCYDsLEIIdhYgAdjsiAVLcPcQACe4NxAANmGe73ouMWmlUq8zaFADEQJmfMufkaGVZFz8jfH0viklFg4iOjCbINUOxbionFhF8srTG34lHp+wckXp9keJQlJyXnbuzdlR5bs/WvBkUusXxNeaPVYssMkd0ZJxfKOPPj9en+XLZiWHUU6l8n5lrkmY86XROx7G1w6ftObqed0Uqa5L9TpMuPEsuSWJKSUow7z7ySbq0vExLFklCeVQbhBrfK1Ub6Fa/yTEnMg9RxXRLxHqtJlxwxZJbduaLljp26Vdf1Mjx34kqXnvgyZXN0iShSJ4MTbUIq5SajFebfREs+KUJOE1tlF1JeTIkRxx49r/ZHn9fmU8s2ul0vbR1e0tX3UWk/vJqlX+1eZwTfCfrj/Xl+GAhpG3AWSQhgMdiAKnuIjEzF9anhAIZFO+BMYFTUaChgERaFRIKAhQbSVBQENoUToKCIbSSQ6GAgGIKYhsiACGIIYCGAAABSAAAYCGBPH+Je83nOTOhF8EUwAQAyrJ1+RaynJ1+Rvh6l8CE4gOzqyraAsIOJBCiSQqHZUKzRpNdkwu4tNeMZK0zOxAlx7j7M67Bq87i4VKGOWXunyptNLr49TprVwy6bNmePEngacZRhtTd/gf0+Z830+oyYckcmKcseSDuM4umjX2n29rNXFQz55SgneyMYwTfm6XJzvF072+vb9u5VNadOGJXihl3KNSXD9VPy56Fuj1GzRZ6x4pd3KKqULU7l/u86s+d6rtTU5tneZpS7uCxY6ShtivDhK/mXaHt/Wabd3OeUd6SlujGa46PlPknU7TMe9nqe6w9n/d4puUHG8sdzUbjde+/2HLSRx6rV5EsGPHjUHuyYnkUG0nxFfM+e5O2NVJYYyzSawKsK2xWzp5Lnoutl+P7Ta+OWeVahueRKOS8cHGaSperVDqdnvMrhHLoM8Y4ZSzSeOc4Y9sZLdGpJPo0ea+1/bDjqsmOMIqcHt3qO1edvzfJwtX25rM/dPLnlJ4Z95iajGGyV3fCXkupDtPtXUaycZ6iayShHZFqEYUuvgh1O3/GSUnJtybbfLb6sQDorBDCh0AiSQUNFAkSFYgGJjQjHL1ueAAGjIAAVlQwFYWAAAAFAAwEFDABUA6AoiKiYqIgZEmyLQVERJoVAIB0FAIYUFAIAoKAACgAZvwu4r3GA2aZ+qBcxAxEUMqydS0pn1N8PU5eEFiA6sHYWIAGRaGICLFZITRBFislQmgIsRKgoCNContDaQQGSoKGKiOhhZAUAWKwJWIQAMYIAAAEjHL1uGMQMhRZGwYIgYAADEMAFYWJkSossLK7CwLNwtxCwAssLIDAtoVDsLAVCodjQEdoUTIsCNBQ7CwI0FDGBGgokFARov0z6r5lVEsbpoDWJggZFIqn1LirJ1+Rvh6nLxEExAdWAJjACNiJCoBBY6CgEDHRGRAgEADsLIiJqpNisSQ6AQEgIIhQxgAAADAAAGCBg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width="300px" alt="a16z generative ai"/></p>
<p><p>All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.</p>
</p>
<p><h2>Onyxcoin (XCN) Market Trends and Ozak AI’s Contribution to AI-Driven Blockchain</h2>
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<p><p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
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width="302px" alt="a16z generative ai"/></p>
<p><p>The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.</p>
</p>
<p><h2>TechBullion</h2>
</p>
<p><p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p><p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p>
</p>
<ul>
<li>The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education.</li>
<li>Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups.</li>
<li>Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</li>
<li>It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested.</li>
</ul>
]]></content:encoded>
					
					<wfw:commentRss>https://ail.atlas.pk/digisure/hippocratic-ai-raises-141m-to-staff-hospitals-with/feed/</wfw:commentRss>
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			</item>
		<item>
		<title>a16z generative ai 1</title>
		<link>https://ail.atlas.pk/digisure/a16z-generative-ai-1/</link>
					<comments>https://ail.atlas.pk/digisure/a16z-generative-ai-1/#respond</comments>
		
		<dc:creator><![CDATA[Muhammad Ismail]]></dc:creator>
		<pubDate>Fri, 05 Jun 2026 17:02:52 +0000</pubDate>
				<category><![CDATA[news]]></category>
		<guid isPermaLink="false">https://ail.atlas.pk/digisure/?p=112054</guid>

					<description><![CDATA[Andreessen Horowitz a16z Fuels AI and Biotech Innovations with Strategic Investments Tech leaders respond to the rapid rise of DeepSeek All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>Andreessen Horowitz a16z Fuels AI and Biotech Innovations with Strategic Investments </p>
<h1>Tech leaders respond to the rapid rise of DeepSeek</h1>
</p>
<p><img decoding="async" class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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width="301px" alt="a16z generative ai"/></p>
<p><p>All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which  can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.</p>
</p>
<p><p>The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.</p>
</p>
<p><h2>How Global Brands Use Geo-Targeting To Increase Conversions; Interview With The CMO Of Geo Targetly</h2>
</p>
<p><p>Holger Mueller of Constellation Research Inc. said Hippocratic AI is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</p>
</p>
<ul>
<li>Holger Mueller of Constellation Research Inc. said Hippocratic AI is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents.</li>
<li>Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services.</li>
<li>But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world.</li>
</ul>
<p><p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
<p><h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
</p>
<p><p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes,  it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
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" width="300px" alt="a16z generative ai"/></p>
<p><p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
</p>
<p><p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="304px" alt="a16z generative ai"/></p>
<p><p>Story aims to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p><p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
</p>
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" width="305px" alt="a16z generative ai"/></p>
<p><p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p><p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
</p>
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width="306px" alt="a16z generative ai"/></p>
<p><p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
<p><h2>Andreessen Horowitz (a16z) Fuels AI and Biotech Innovations with Strategic Investments</h2>
</p>
<p><p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
</p>
<ul>
<li>In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</li>
<li>Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications.</li>
<li>During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</li>
<li>This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</li>
<li>That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</li>
<li>Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</li>
</ul>
<p><p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p></p>
]]></content:encoded>
					
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		<title>12-12-2025-888 casino online594985903517</title>
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		<dc:creator><![CDATA[Muhammad Ismail]]></dc:creator>
		<pubDate>Fri, 05 Jun 2026 13:13:07 +0000</pubDate>
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		<title>best name for dog 88</title>
		<link>https://ail.atlas.pk/digisure/best-name-for-dog-88/</link>
					<comments>https://ail.atlas.pk/digisure/best-name-for-dog-88/#respond</comments>
		
		<dc:creator><![CDATA[Muhammad Ismail]]></dc:creator>
		<pubDate>Tue, 02 Jun 2026 16:20:41 +0000</pubDate>
				<category><![CDATA[news]]></category>
		<guid isPermaLink="false">https://ail.atlas.pk/digisure/?p=108192</guid>

					<description><![CDATA[100 Most Popular Dog Names in 2024 2025: By Breed, State, and More P 150+ Best Dog Names for Your New Pet These names work so well because they’re simple to pronounce and easy for your dog to recognize. They’re also easy on the ears for you and your family, making them perfect choices for [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>100 Most Popular Dog Names in 2024 2025: By Breed, State, and More P </p>
<h1>150+ Best Dog Names for Your New Pet</h1>
<p>These names work so well because they’re simple to pronounce and easy for your dog to recognize. They’re also easy on the ears for you and your family, making them perfect choices for dogs that will be a central part of your everyday life. Names like Duke, Rocky, and Ace carry a sense of strength and confidence, making them ideal for dogs with bold personalities.</p>
<h2>Most Popular Australian Cattle Dog (Heeler) Names</h2>
<p>Over the years, I’ve put together all kinds of themed dog name lists—from festive holiday favorites to silly and sweet picks inspired by food, nature, and even yoga. Whether you’re naming a beach bum, a farm dog, or your newest little turkey just in time for Thanksgiving, there’s a name list here just waiting for you to fall in love with. Naming your dog is a special way to celebrate their personality and the joy they bring into your life. With over 460 thoughtfully chosen names, you’re sure to find one that perfectly suits your pup.</p>
<p>This name is inspired by the feathery clouds on a bright sunny day, so it also fits happy canines. Another name for cute white dogs is Yuki, as it translates to “snow” in Japanese. It can suit puppies that are gentle, calm, and have an innocent nature. This is a chewy candy that is a classic favorite among kids and adults. Taffy is also a great name choice for sweet puppies who get along with every person and other pets they meet. Pika is a name that originated in Japan, and it means “sparkle” or “glow.” This name has a fun ring to it, making it suitable for dogs that are full of life and energy.</p>
<h3>Best Dog Food Names: Creative Food Names for Dogs</h3>
<p>Simba is a fierce name in Swahili, which means “lion.” It’s also popularized by the animated movie The Lion King. Rolly is one of the notable characters in the movie 101 Dalmatians. He’s the heavy puppy who’s always looking for something to eat.</p>
<p>Finally, Girls5eva&#8217;s Paula Pell is also slated to lend her distinctive voice to the new Seuss movie. As the newest Dr. Seuss adaptation begins to take form, the cast of The Cat in the Hat is shaping up to be an all-star ensemble. Leading the charge as the eponymous character is modern-day funnyman Bill Hader, who is best known for his lengthy stint on SNL and his award-winning series Barry. Hader&#8217;s prolific impression abilities and vocal range make him uniquely suited to play the character, and it&#8217;s unclear how closely the new cartoon version will stick to previous takes.</p>
<p>{</p>
<h3>&#8216;Superman&#8217; Flies Into Barcelona With 30 Minutes Of Footage During Warner Bros&#8217; CineEurope Presentation</h3>
<p>|} </p>
<p>Playful names are perfect for dogs that bring a sense of joy, energy, and fun to your life. For female dogs, names like Hazel, Willow, Indie, and Scout are nature-inspired and distinctive. They bring to mind images of the great outdoors and evoke a sense of wanderlust. If you simply can’t decide what to name your newest addition, no worries! We’ve searched high and low for not only the popular picks but also a ton of other name categories for your furry BFF to be sure there’s something for every pup and pet owner. (There is nothing funnier than a dog named Doja Cat, IMO.) Check out all the best dog names we’ve rounded up—you’re def going to find the perfect fit for your bb pup.</p>
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		<title>Ai Buying And Selling Bot &#038; Crypto Execution Api For Ai Agents</title>
		<link>https://ail.atlas.pk/digisure/ai-buying-and-selling-bot-crypto-execution-api-for-2/</link>
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		<dc:creator><![CDATA[Muhammad Ismail]]></dc:creator>
		<pubDate>Tue, 19 May 2026 20:15:16 +0000</pubDate>
				<category><![CDATA[news]]></category>
		<guid isPermaLink="false">https://ail.atlas.pk/digisure/?p=123907</guid>

					<description><![CDATA[This information critiques 10 crypto trading bots in 2026, specializing in AI options, automation stage, and newbie usability to help users examine options. Bit Index AI is tailored for beginners coming into the crypto trading house. Its intuitive platform simplifies the trading course of by utilizing sentiment analysis drawn from crypto information and social media [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>This information critiques 10 crypto trading bots in 2026, specializing in AI options, automation stage, and newbie usability to help users examine options. Bit Index AI is tailored for beginners coming into the crypto trading house. Its intuitive platform simplifies the trading course of by utilizing sentiment analysis drawn from crypto information and social media developments, alongside AI-generated buy/sell signals. What units Bit Index aside is its focus on schooling, providing dashboards that break down how the bot makes selections, as well as simulation options for hands-on studying. Integrated with cryptocurrency exchanges via secure APIs, these bots can function 24/7, repeatedly scanning the markets and executing trades primarily based on predefined strategies. Not Like human merchants, AI bots stay unaffected by emotion, making them particularly effective in each highly volatile and stable market conditions.</p>
<p>Moreover, you can use backtesting to simulate the AI&#8217;s efficiency on historic knowledge and assess its potential profitability and risk. After that, choose exchanges that support your chosen cryptocurrencies and provide <a href="https://voltarion-ai.ch" target="_blank" rel="noopener">voltarion-ai.ch</a> API entry (I&#8217;ll delve deeper into the most effective options in the subsequent sub-chapter). Figuring Out how to create such an application your self allows you  to tailor its methods, optimize its efficiency, and retain full management over your trading activities. AriseAlpha’s $12 free reward significantly lowers the true starting value. Commerce all accounts simultaneously (applies to any single exchange per trade). See the total list of supported exchanges and features by change for extra particulars.</p>
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width="308px" alt="Crypto trading bot"/></p>
<p>The platform integrates with most of the top trading bots and exchanges to help simplify the tax reporting process. It may be straightforward to rack up a excessive variety of trades when trading with crypto bots and automatic instruments. This could make reporting your crypto gains and losses in your taxes difficult. Following the strategies of successful traders through social buying and selling may help make it easy to earn earnings.</p>
<p>In the previous, cloud mining was some of the accessible entry factors. By purchasing hash energy contracts, customers might take part in mining cryptocurrencies like Bitcoin with out managing hardware or technical infrastructure. You wish to trade on an exchange and use basic bots with no separate account → Pionex. Any platform that won’t publish verified efficiency knowledge is asking you to trust a black field. Look for independently auditable results, not advertising screenshots. It suggests routes based on current conditions, recalculates when one thing changes, and helps you attain your vacation spot sooner.</p>
<h2>Automated Crypto Trading Secrets And Techniques: The Means To Backtest, Paper Commerce, And Deploy Bots Safely</h2>
<p>When it involves sources of sentiment data, there are several choices to discover throughout your strategy of learning tips on how to construct AI crypto buying and selling bots. I know there’s an extended record of crypto trading bots available on the market, but for one reason or another, they gained&#8217;t appear fairly best for you. Possibly the purposes don&#8217;t supply the customization you need, otherwise you merely don’t belief those instruments. No Matter the case, it may be time to take matters into your own arms and discover methods to construct AI crypto buying and selling bots your self. In this information, we&#8217;ve reviewed the 7 best free AI crypto buying and selling bots in 2026 — what they really do, who they&#8217;re built for, and the place they fall brief. Whether Or Not you&#8217;re just beginning out or ready to maneuver on from guide buying and selling, there&#8217;s an option right here for you.</p>
<h3>You’ve Constructed A Crypto Trading Bot, Now What?</h3>
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<p>Though Gunbot has a dedicated community forum, it could nonetheless really feel more complicated to a brand-new dealer. Operating it locally additionally locations extra accountability on you to take care of uptime, safety, and secure internet connections. I’ve run actual capital by way of every bot listed right here for at least 30 days, audited their APIs for security gaps, and tracked their ROI towards a simple BTC-hold baseline.</p>
<p>Kraken’s regulatory standing for its numerous services and products differs per jurisdiction and you may not be protected by government compensation and/or regulatory protection schemes. Algorithms, like humans, are susceptible to errors that can stem from varied components. Flawed coding or disconnection from a buying and selling platform’s API can lead to an algorithm failing to behave as it is programmed to. For instance, if an algorithm enters a protracted place and the stop-loss is managed by the software program, a failure in the software might forestall the place from closing throughout a sharp value drop. This danger is very pronounced when utilizing leverage, potentially resulting in catastrophic losses. There are quite a few documented cases of algorithm failures in both conventional finance and crypto markets, leading to substantial losses.</p>
<h2>Cease Getting Rugged: Glider Token Risk Now Live In Coinstats</h2>
<p>To maximize your earnings, reap the advantages of Binance’s sign-up bonus and luxuriate in unique rewards when you begin buying and selling right now. In addition, they have a three-tiered plan, that begins at $9/month and goes up to $99/month. Cryptohopper presents a free plan, while subscriptions begin at $29 per 30 days.</p>
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