The growing realism and ease-of-use of AI-based text-to-image turbines corresponding to Midjourney, DALL-E, and Stable Diffusion sparked a pattern of viral AI-generated photos. Widespread consideration was gained by a fake picture of Pope Francis sporting a white puffer coat, the fictional arrest of Donald Trump, and a hoax of an assault on the Pentagon, as properly as the usage in skilled artistic arts. Game taking part in programs have been used since the 1950s to demonstrate and check AI's most superior strategies. Deep Blue turned the primary laptop chess-playing system to beat a reigning world chess champion, Garry Kasparov, on 11 May 1997. Quiz present exhibition match, IBM's query answering system, Watson, defeated the 2 best Jeopardy! Champions, Brad Rutter and Ken Jennings, by a significant margin.In March 2016, AlphaGo? won 4 out of 5 games of Go in a match with Go champion Lee Sedol, turning into the primary computer Go-playing system to beat knowledgeable Go participant without handicaps.

ul> <li>After launching a generative AI tool for company employees in August, Walmart is bringing the technology to its prospects.</li> <li>Robot designer Hans Moravec, cyberneticist Kevin Warwick, and inventor Ray Kurzweil have predicted that humans and machines will merge in the future into cyborgs which might be more capable and highly effective than both.</li> <li>If you still have no idea, you need to use our AI image generator from image to upload the picture you want and select the image type to generate AI photograph.</li> <li>First, AI does not require human-like "sentience" to be an existential danger.</li></ul> For instance, machine learning is focused on building systems that learn or enhance their efficiency based on the information they devour. It’s necessary to note that though all machine learning is AI, not all AI is machine studying. Artificial intelligence is the ability of a pc or a robotic managed by a pc to do duties which may be often done by people because they require human intelligence and discernment. Although there aren't any AIs that may carry out the wide variety of tasks an ordinary human can do, some AIs can match humans in specific duties.

h2>Reasoning, Problem-solving</h2> These chatbots study over time to enable them to add higher worth to customer interactions. Expectation-maximization, one of the most in style algorithms in machine studying, permits clustering within the presence of unknown latent variables. The research of mechanical or "formal" reasoning started with philosophers and mathematicians in antiquity. The examine of logic led on to Alan Turing's theory of computation, which suggested that a machine, by shuffling symbols as simple as "zero" and "1", may simulate each mathematical deduction and formal reasoning, which is called the Church?Turing thesis. This, along with concurrent discoveries in cybernetics and knowledge theory, led researchers to contemplate the chance of constructing an "electronic mind". Consider training a system to play a online game, where it can receive a optimistic reward if it will get the next score and a negative reward for a low rating. The system learns to research the game and make strikes, after which learns solely from the rewards it receives, reaching the purpose of being ready to play on its own and earn a excessive score with out human intervention. Google sister companyDeepMindis? an AI pioneer making strides toward the ultimate word objective of synthetic general intelligence . Simply enter your textual content prompts, select one fashion and aspect ratio to match your concepts, ask AI to draw, and switch your imagination into one-of-a-kind AI-generated images that have by no means been seen before. Free textual content to picture AI generator, save time on creating or trying to find the proper image. And one set of corporations continues to tug forward of its rivals, by making larger investments in AI, leveling up its practices to scale faster, and hiring and upskilling the most effective AI talent. More particularly, this group of leaders is more likely to hyperlink AI technique to business outcomes and “industrialize” AI operations by designing modular information architecture that can quickly accommodate new functions. After launching a generative AI tool for corporate staff in August, Walmart is bringing the technology to its prospects. David Chalmers identified two issues in understanding the thoughts, which he named the "hard" and "easy" problems of consciousness. The easy downside is knowing how the brain processes signals, makes plans and controls behavior. The hard drawback is explaining how this feels or why it ought to really feel like something at all, assuming we're proper in thinking that it really does feel like something (Dennett's consciousness illusionism says that is an illusion). Our work to create safe and helpful AI requires a deep understanding of the potential dangers and benefits, in addition to cautious consideration of the impact. It is an enhanced version of AI Chat that provides more data, fewer errors, improved reasoning expertise, higher verbal fluidity, and an general superior efficiency. Due to the bigger AI model, Genius Mode is only available via subscription to DeepAI Pro. There's a broad vary of opinions amongst AI specialists about how quickly artificially intelligent techniques will surpass human capabilities. While https://bethelnet.io/ won't replace all jobs, what seems to be sure is that AI will change the character of work, with the only question being how rapidly and how profoundly automation will alter the office. In 2023, OpenAI leaders printed recommendations for the governance of superintelligence, which they believe may happen in less than 10 years. Natural language processing permits packages to read, write and communicate in human languages corresponding to English. Specific problems include speech recognition, speech synthesis, machine translation, info extraction, info retrieval and question answering. Early researchers developed algorithms that imitated step-by-step reasoning that humans use after they clear up puzzles or make logical deductions. By the late Nineteen Eighties and 1990s, methods had been developed for coping with unsure or incomplete info, using ideas from likelihood and economics. Artificial slim intelligence is crucial to voice assistants, similar to Siri, Alexa, and Google Assistant. Being specific, clear, and utilizing concrete words could be higher, greatest prompts guides for you. You still can go to our AI footage gallery to seek out one of the best pictures you want and evolve our AI-generated image prompts directly to get good outcomes. After pictures era, you probably can add them to your poster or moodboard for templates. Or use these superb images as wallpaper for your cellphone, desktop, or even printable wallpapers.

div style="text-align:center"> <iframe width="568" height="316" src="https://www.youtube.com/embed/_8q9bjNHeSo" frameborder="0" alt="AI" allowfullscreen></iframe></div> Machines with intelligence have the potential to use their intelligence to make moral choices. The area of machine ethics offers machines with ethical rules and procedures for resolving moral dilemmas.The area of machine ethics can be referred to as computational morality,and was founded at an AAAI symposium in 2005. In the past, expertise has tended to extend quite than reduce complete employment, however economists acknowledge that "we're in uncharted territory" with AI. A survey of economists showed disagreement about whether the increasing use of robots and AI will cause a considerable improve in long-term unemployment, however they typically agree that it could be a internet profit if productivity features are redistributed. Risk estimates vary; for instance, within the 2010s Michael Osborne and Carl Benedikt Frey estimated 47% of U.S. jobs are at "high threat" of potential automation, whereas an OECD report classified solely 9% of U.S. jobs as "excessive risk". The methodology of speculating about future employment levels has been criticised as missing evidential basis, and for implying that technology creates unemployment .

h3>Chatgpt Can Now See, Hear, And Communicate</h3> In contrast, unsupervised learning uses a unique strategy, where algorithms try to determine patterns in knowledge, on the lookout for similarities that can be used to categorize that knowledge. ZDNET's recommendations are based mostly on many hours of testing, analysis, and comparison purchasing. We gather information from one of the best out there sources, including vendor and retailer listings as nicely as different relevant and unbiased reviews websites. And we pore over customer reviews to seek out out what matters to actual individuals who already own and use the services we’re assessing.

img class="aligncenter" style="display: block;margin-left:auto;margin-right:auto;" src="data:image/jpeg;base64,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?/8ALI7eXwmjHQDpdswdPdew?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?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?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?+3OzLlJTLadJG08oIx3FWAThJ55qpuvrbqFPVK/3C2DGJZWn5jaKCWqBukTQSjBq8aRtlpZ09frqw1JaQMJcUAfkRULfLHZ9R2dy0Tti4rvxMSEYy0ryVkVAy49u6i2otPoEW6xMpSsjlKvQ+oNHOndBuxdOMTps3EgshBQFZQcUxPMwNDnbOSxQueS1qzotp+bpe2xLLPUFOsOPkKSeFpK8gj6ipK82hDnVU3z9r9F+AfuVmtuk?/FZnR23M5bQsc+makZLf/GUu6OrCW220tJJ8yTXBxdC4juVwADqPhaXz?/wDxJtPnsYkq?/JFMSevfJjrPYuADH0pcJcS51KtihjHuko?/mimPKSkNwzn?/lE/wqXAP+ME0751KrSNvzrll25q4sKjvp3JI/CutB+Ibq6WmCTlNPEg7FIkf1L6py+jTKGJdokT2JGUsuJ+yn0BJpedHNWzOoPUxV8lNoiB1gNqwchKSr/fVm9a6GsetLDItF6iJdZcQeSOUnHcGkF0w0NA0Z1Aullt61uMtQwUlfccn?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?+WqTa73b5L8eLsLAzykCnqXKA0zbb3MuLLcK3qcSXEpUSDtT9TTg1NEj2xiK2soS6lAC0p9aCrVrqZZ2DCtcWO04TuL6k7iPoO3417sbsq/OSLhc5Lkh1SjkqVSWlXM3cLOi7t3Bu7tue8Et+AG17kHgAk4xzj186KW0E4zSqZSEXCP8pCcf61OdpmEY63VSQFgcI9aOOF0l6Auc4n5iuVDQG7gV9Qz5nnNb0LaBwORUlFtrTrId96bST5EjNOHFmAstKHUEW+z3p/TF/wCtFhtutN/6FXGmLmBtvetSEoB2oH7xOAD5E5q0sUW7THT67dLRYoV80/LvnvdoeuDR96gIUQNyCk4QsgDOCR39arV7P0XxOrtvCOdtvmfTsirVXSC2WGQvjEhog?/6Qpp7CzZwoo20RaFr7CdnOWy0vPvOxIbLiIsUuHwoycZOxGdqSTySBkk5OTQs23DuDj1km4U42kZB74OcH8jQVrT2hVzb22zpOCY0Zkbfe5CcqcBGCoI/ZGDxnn5VFWvWL0iUbi3JWt37bpWkZcIHAHbH3etMOgc8WEY2Tw6bvztBz5GxBke8Dw0OLOUpR58fvdvOmhZVvTpEmXJeLrjqUkqPn?/IUotH6kZvTCY0xKWJqEhSmt4UQPJXHkabWizu8ZpShuCQQPUV0LyHaH8riEYaX11aFPDRmsktrjSyWYzroyk5H2FE/kT37UIa86VTOnkxV7020ZFieO5SEjPgZ/6vz8qG+o0fElggYy8cfhTW6W69cNrbsGp?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?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?/umiZCJLC1KbScADJqJ1Bjpw5jObFfiFa9Ke2AMkkOxab?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?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?+nelZMElaXG3o5IHP6twcEfLdVVvbzt6jqq7qbisuBdsbOXFYxtQ8cj1PGfupzaD6wReqnQi5dQokFFqjw7/d2YEdJ+JtkMx3E7j2KsrySOMmvzuu3U3XfUiffpGutS3C+PNxXC2X3ASkBK8YxwAM5wKec1ztDj2QDa1aP2Sr0dN9KLRfnVEIgTHnTjyAf5p6dRUA3e6Ngj9SvAP0H+6qzdJL7E0z7Kb+o16amagLL8hs22K74ag0Xllx1asH4EJGSACTuHGNxDj1Rf5Vv0rduod2jyFW560R7qQ2oLUlHujZWBkjJJPHbJzU0nVDTeQmaqUE90lesSf8oZeRk?+HIQv81j++ijQK1qtjqlHuUn6cUDa0uLM6x2qSjeEvxYzqSv7WCgkZ+dGOhnwLY4B3yn+BquOwapI5KJ1khZwe9VQ6sXJt3W94trbw8ZuduUgdyMCrVbyTgqzmqZ9Y5Rg9Vb6pJwpUkEY/wAxNc4agmpLpSlxQ3PgMRFxiyEEqcV4mS56AjyH381Cojqgz2iE4Dnw4qUs7q7jbm3nefUiue8fqZ0JAOQST2qLe9FMFpq0aWuW9Z9DTbjHOxyMw64kj/nKN9Mapt3UfQL8dt5InNBKlo89woGuiPC6WXZ5CScwXDgf85ihz2bU3BOsnI77DzTS4biilYIB7YNI00xzlJBNtTYs0NbWpYTLyMLatT4IPkfFTTMs8dw6igNk8GPnHlQeQ23rw7wBm2OhP18UU1LNb2lSrdMSAVBGzPypWuBjb?/vdO0UWRonb4e9SsaASQQnHzNboMMrKSEcVKOGLbIbk?+c4GmGElbij2AHc1MJpCBvQQ9qPU+ldGwHZGo7xFhJLaiC64E/xpDdHtQWXV3WnUl0sMxEqIqAwEuJ+yT4iu1bOv906UdVLcn9HX9yLeo4LbDjrSwwtJPIVkYx8/lQHpGFaulVtTb9IXhqTPeZQqVdgC022oEkoQD9oD17c+dQpc7GiGsvs?+BupsXTcqZ+gMr6nYK3HVTUNj09qyEzfpTMVl6JvS46ranKE7tp+o7VVDU3UK56vnyJUe4Ow7atxRZjx1kDZnjcruTionqRq64aylW+4aj1ublJCyy44VjCR+ztA7eY++hxu4We1JMdMobANwyf4VmeodRkmjEcYI/da3pHR2Yzi+WnH9ERRpMRo4HB8zjk1JsXBskY7D5Us4utBcbwuBGjEMbglL2e586bfTVNqhXOPMv8dc2Hu+JoKwVDyyaopoJI69Ta1pYJ432Gb0lN1tUbjqyHcm8KRJhNtnjncjIPFcHTZ1qTHk2xK0+Iy54iceYou60Wtv+m852AyW4AiB2G3kq2JVnIz9aU3TkvRbvu97U2FulLhHoa3E2Ez/AOHHxrIu?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?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?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?/VxyBk7iO1Nb2fvZW1b1PvJZmQ3I9paeUj9IKThKgk4ynPJz5VZxwR47ae6/q42qmbMkmfqYA36NFIFnRn9M3SM5NirhsMrKFKQ6HWVk9yFCnToa5MXSA05EcS4g8ApPBqW66+yXqnpjBcvsO5s3fT0VIW82rPiND19CKTnTXUcnSWoRZ3GnPcZfxRgsYDayeRk?+VUvVcNua6mfOBf0P091oOidQdhM1PNsJo?+R9fZOjqBZFy4MN1lre6tC2SSMnkZA/jVcbFEcgajn2mUgtugL2g8YUORVpb4/Nf08q6BxA9xIfCEjO4Dvk/Q1XjVEF2dfv6TW9JKnnMLCfnxVj095yOlsiP8lj87/dNddPp5wkHDqKYNluSv0dDlqXy42N31HFc2vrMzqe3NvRVJEtk7k881EOzHLLbYMGQj4g3uJHzNa?/erpKjGVbo0l5tPG5tBIz9aykTJcSckCt9lqpnw52MGuINjddvTm?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?/qI8xtxw4HOEpOaXzd?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?/q/XbL3vshTj0dT+1QXnBKh55p5HqTAsUL9H6ZmQzGZRsQ4zjCT88UjOl10007plwaot6i6p1ZWpxsZVUDcde6Siz5VuZb9wgJd+A7cBePOh9KOUjWLS6nDhSftEe0HqJGmP6KNsmV+lEqakPY4CPkB27UhNR+DOsrd0jgfqktvox+yRg/zpu6o6o6Md0/MaitwZMhTKm2wW8nJGM0j5EpcLS3gupV8bGc+XI7VWZ0TIZY3RCjavOlHXDKx/FKynS6azq/S7LKlAe9Ry2d3btg5pAztL32360nwJkmRGtkdxSQUAkEj0o26J6mYg6ehxUS0lxknekHJAPqKYOodVXNq6W6zxo9pkRLgghTy2/1mR9rPlUbDlEeTLjXp1EkKd1CJ0mJBlkatIFj/AH6paz9NKa0z/Sz3eW9Bb/UJc7hS/p3ov0ZOs9u05DiLuEiNlO9bYjhW4n5kGm9evcYOh3Yi4yDBjtGR4AHw7gO+Kqjc/aM1K1cxCt2n7UpCV+G0FtnO3yzipE+CXRiMSHzuLUXG6r/EdMIRQAFA1/6m7Ku0VbhUxqeUgA/Cn3NPHy7UD32Reb5cJqY0xLSEBAbdcZ5J8zjFB7vtCa4cuAgqsNlQ6HvC27Fef31Mv9YtWxLgxb7pY7StmSpKXFMpO4ZPekjwJoWkiUWeDp?/yum6pj5JFwkgbkajuvTuitYJt/wCl1XVkRSvYHvd+CqtUOxzLdabtJee96kPQ3G9yGtucjgdqfN4uEKNoxbbjKTDZZ948EDgHGc1X1zr1eVvTodn0/B8OIwVguDHA7HvUvHxsmORrny6h3FBQp8zDmjc2ODSex1FT3STS2oJGlItsttrQ5NU2txKH/hSTyeeKhZF86nxpDsdfTloqaWpBIwQSDjjimH0u1TdrzpyJfrgG2n5OVEM8BI+VGX6QbPJxk1ZByqSqs9IOmyepV1hQZU/3OAw8n3t1IBWlsnkpB4JqwX/Bx9muBeU2JnXkpybIWUJaek/EtSRyAPDAzyD34qvXRwxzLeTJlXhoJTkfo1oOOE/QpP8ACubXt9uzka3yFXF7LUt0B0oCHQkrxlWB3wBXeqGnTScDCRatpB9mPo9b21tx7/J+MfEA+nOP9Sl/1e9mPp+zFtsqya+FoC3lMK9/HjB5agNiUbADnhXfOaQUS5xnF4/pu+jcfhLiwAR99TKBbVKDa+pCUq4KQpxBGfLHNAZm+EmkoxsvThnpTIloj3xFyuc4e7IfSwtkxmwfjACuSonGD5YFdj95RbooZiPFzb3WDwT549efP+NDGoH5DLdnt6bkp8+D4Snt3J8RSSVA/TdXi5S21SRBi4LcdI8RQ7A44T9wwMUy46jarpAXusohjX2a4reXlEjnvXbOlRrxb3LJcFgNzWlhA9F4zkH6An/RoVgvL8ZTSc4eaV4f+eBnH4V7XdW3LtZWAc75jTyc/uLQ4lY+5WfxpOU0W77IXa1DJs0Kdp+5tuh0AslOMjcDwR8uxrXddd3DU10TBl2ZhFsS6gttFSvEQvsHd48+/ljBwc96L9Q6eYugMkJ/ylpBGB/yoGR+IFe+k+gI+quqthtz8dT0ZbyZ0lrsn3dCSs7/AOyfhT89womtbypUbg7turu6ejRoVgtrkVhLapb4kvEDG5asZUfngAfQAV5vKx468/vVvgZ/Q1uSe6XEfL0NcV8Xh9fruFCze1YDYKUtC1ZGDRdY3AJg7fZNBNoWdwwaL7Kr/K049DT7VxUZ1E5jA+XioNadNrPuyefur11CViGonnCkH8659OKPuqcfjQu?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?/28k4I5781KdAZtg17IvWu75pG1olJmks7Wv1bR271KCPsBRUSchPftTGHgyZzLIIA7nuP7qTn9Th6e7YhziNwDwf7fn9EnNQ68fYaQlxQiIUP2h8Svp8q7OldxiW66PBq4qbnOxBIaZDOUKC/RWeDsIV2/Ojr2g9FXDqb1jsGmLOhlTsqzNuJDighIAUsnmiGT0Na6YdO9N3GdAhJu0W7rizZDSgorjSUqaQCrz2LU2QPKrN/T4o8Mlo5H/ipYOtSz5jC/YBabfLdl?/rnDlSu9HNjXHuMM2Weptbc7MUNugqQsqBKQoem5Ofupb2plcVxTCFqUDyCo5PNH+lFuNSE/FlWM9/Q1jbMUge08G1vnATwljhyKUwjo1qJtl39ERdOMoyRnwj5VVjqP1g1nar3M0vbIEWK/bnlMPOsxx8ZBxxV9Zl0lS7VAhWtYi?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?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?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?+War31PuOkZGvVXWzXdu4PXZTTmEtIabiLKQkhScIQcd8hQGc5Ocmq7O6X9/cxznVpvtvvX1Vr03qx6aHgN1aq7+PwXddbsoX22R7La3pPuzOI8SM0MlxwqV8KeMfCEZ/wCaBBxxQvr?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?+WRQx1Csdv1XopbdzmiK3AdbmmRjOwDKFZ+XxA/dSai9KNLyN94i6tZUUqwtzbnBPqa2/Rcj1MRvlu3+/gvOvtBj?+jnOPZ2/+/irGS7ppBxpL8nVcANyQdilOAbgfSoq?+RdI3KOLedTW5lvO5SPEHJ9cUodYRkItFtS094iYysJWfMDzoWf1Bb3nFOu3JourOD8XOatjseFSp56a6X6KuF1L8+6vPW9pX6wRVYCzjyOPKuu76F07ZnZirdOU3bHnDsMg?/YRkH4ldvKovorI36WcJc3YkKGSagfaGvFxatMSywJvgNzQsuhKQSoDFMSyCNpcQnoI3zyCJpXfdLTpi8ONNN6gtDhithtIKkrITkn++od/RVjLqSqbbngs42NMhS1DzwAOaROg7ReZd?/uzrU1tmPDQ2ZEh1GUjJwEgZG5Z5wkcnBPABIbHTnUN1k9YbFZJWxqLGt76kIb4S6S0r4lcckc/Q1BGPFPPvGNxZPdWzsrJxcemSO5IrakwE3HSFpULTEu9mYQ0jwloVMabUVHuCknPy5/vqPdnaPNwdMyVpwQ0sAeI+6worWVZ+E5ykJA+/d8qQ2o2mpvtJ3CE8zlDl85xnyIOB5eVN7UPTyxattrlnnQno7KnEvKWyA2sqHbJKf51aO1MeA1opUlk8lSCbj0yWNzs/TYyexUxx?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?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?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?/PFaut5vF06poN4hNQ31WthLbbT3ifAAcEnA5PPFdwkLtnQ+629Q8RyQvbu9BvBp7mJt/RD3KKenzrk/STD61lRbW2pR88usNq/ilR++j+3SCEgE0vOmzq4ugH3UxHX1eJbQEN7cn/J1A9yBxkE/Ki+PJ2YwawHUm6cpxHlesdJOrDYO4A/RHVqkRpTEi03H448xlyO8nHdpxJQv8jn60tdZwE6OtC7FEaS+yt/cpwJwQocAff3qcbuXgrCwpQBBSdpIODwcEdvrUPr5xq2aehz7Up19EVCYu1xZcUPgIQ4pRznGMEnnJFT+i5XpSeieHce6pPtLgmeIZDBu3n2/wAKDvEnx9NtvOpGGuPoNtIZpqdIuu0Rglpx8kKz2STTnZfU/o9a3V7iEEknzOKXKPDSvdjtzxW1caAWATEc1Re9PWpm02KQoGOnefDGCrd3KsUMahvt7vj7L9zlyZS2k7UpWg?/CPlXd03Qq7X9+E84tKHY6skH8KJZ9hftj20y3HiTwe1RZccTGyVMx8w442aCUs7Rd7wzfjZnHpPui0qksxiDsDqgApYT+8QlIJ9APSjbpdNlO9cbU5OjlLyYDyBkAeGkNKwPXnvWvUtjdt?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?+8eM/fRdB1pHdaDy5UYA91b8f3VTPxnA7hXjcqN/ylHd26C9EtWMurRY24Dkj7S4TqmD9yQdv5VX/wBpD2atLdNenytXaev10leHPZbLElaFNpQvcDjakHOcd80yX+pFihg+PeYqcei80q+tfVu16y0RN0lAlqkF11lYUDwNiwrP5VNxPvOtvNWoeSMbS40LSo6C6btOoup1qtlxnPQYSysvyGcFTYCTtPORjcUg?/ImrlW/pyxerw5p6ydRZDjUNzxEbEIStgH9lJHGOe1UTs05u0szGo8N12U82A2ttWC2Qe9MPphI6nRYEm7WK+OxlFWV7ySpR9MnnyqzyonSHUHUoOLO2IURdq+0T2ddGXBYkateF2fU14SnZCApZR+7n0ru1f7N/QrU9kRp+RpW3iYwg+7OIAYkN8d21jHPyOQcVWjpb1M9pm+XRNvh2KVd2IoLjyWm1LWlscbic4SMkd67Nc9cus1+bk2nT+lXkyI7vhL8dvlsjzB/hg1EZjShthylOyorottOroT0MhdNrvqeyP6m8SyXd?+PLR4yQ24ypCSlYV5cgI5HpXZ1b6/wCiLJGd0j0392lOt5bennltJ89n7x+faqP33W/Xy8NLtV2uslpDmUuYJBI7Yz3ofYsWu4bahlboWO+/kUOZODH6ImDXdz3/AMKZgQuY/wBYY5cOw7f5TslXJ25yHJKnjIdcJUpZOSTXhu2yXjksqJPnSSF46h6dWHI8ZwpHJChkUQad6/3O3OeDfrWeOCoJwBWUm6LkUXYzg/2O610HXcYENy2ujP1GybLNilK/5I/fXUnT7iRhwhNQdl6qWvUISYUxtCj?+yT50Rtyi5hx+RkK7AVn5WzQu0zCitHCYchmuFwIXOu1Rm/6x8V32K9NaanNyoDg8RKgRmtDoiurAwog9/WpmVoVuTZRdbalzcnkjH91FAS42OyCdjANLuCl57QXWrVVrukBuFKDbjbDqmnEOFlLQUCFcp+NRUFFJGQMHGOTTo9jzq5cOp+hLixqGal?+92aUGpCyAFLZXlTSyB/pJ/wBD1qpfXG72ySpdvmsui6xH2vDUM7VRyhYdQR5K3eEQcdt1SHsr9RrZoPrlEjwXX02PUZ/RSxJIC0hah4KlY43Be0E+ildq9R6e50uGx7+SF5B1RjIcySNnAK/RKao7CcVTHrl010XrDqXfr1f+pEHT4ioYQ6h1aSpSvDBwEZBJwM/eKvXamIi2pLkqKh?/bsCd2eM5zS/vns7dD9V3F6bedFvzZrmVqcdu8tasZ5xud4HI4psZ0cUhjLST9FE9IuFqpOgfZs0fcpabnoTq5a7sdnxsnG/67N25PPqKTPU9nVNj1JepUG5FMSNL8H4DjcQAM49DX6D2z2XegcG5N3S06UfjyoqlpQ6xdZaFoJBSrBDmRwTyDUJ7Qmkenlj6ZSYKdIwg1JUiOt4ISZRBIyoPuBS9+M/GcnPrSjqMT3hrQbO2//q5sJ/m4SB029dLn7P8AEWm4yokmQ7FJlMDLiD4wyRjzpcwn7jqCdeLVdp18cdRIT4DrwUVuYVzyRjjGeKZ1h9ry3aa0pGiWHo0iFZbYhMRlAvze?/wCHA+yWt6idwJVg5yTnvW6L7d9uScHphIz?/AP3VJ/8A8VS2xFoO/KbJBOwSQ1IL1B6midqlFzmMtMJCXnY5Kyzj4AdoxTESIdw0G7Jt1llvRnF4DfuyyonPPwgZppW32pXL3HRcP8XDrCVnCUuXNOSMZz/VU0OlHtrw?+nl0M53pA/cn3AG20ou6AQVdsDwjkmnTC5wH0Q6gFWHTL79ps0i2SbfMjJdlpdaU/GW0FoDKU4+IDkKChj0qS98RtBSrIp?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?+PyrwSCPIfhW4tqx3H415U2rHf8AOkQqy?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?/ia4JbF0uMwKbBbYbI2gDjHp8qzPU/tOMYGHHqx3PH+VsukfZV04bNlXR/lHP4+F26z1t1I8e6ytC6sulhaurinX2bc8WEOqUMEqSng5yeDxzjtxRFprWd?/V09t+nb1flyLqlsn3leFPBJUThSvI57CopKWI0fL4T25zQlqa5SUx3JNkSA61yTjuKymL17OyGOhLj8Xfwtdk/Z/Bx5Gzhg+Hsi2Vpy1S7G8h6S4qfnIcPdRzQ3DtjkYe7yUkhPZWO9b9D3pzU0Px5boaLRw6D60QXW6W0x/dYzQJbH2/OqmT7ywls/KtmfdntDoRshx?+1NKTkthQPkQKFr9o3Ts+K6JUVtjIJLgAGKMk3BgRytahgd6XnULUAkw3IFuSVOufD8Pen8D7w+YMjJBvkJrNZjiAvkAIrgpcXvSLdvkJc0zcCooV+yrn8KKdH68u8JabZe927O0KX3oT04xPiXVEd0qDmclJPNHWqrC1cYjT4QGpSRlKkDBzW1nljsY2aNYPfusIyCRt5OAdBH8vYpn2m4xAwHZBKioZSQM0c2jXLzUBEZhaShs8oUO4+tIHRnU6zWK2u6Z1HGcenqVtZdA4xjjJ8qn4er7aLim3NP5eWMgA1UZfTX4T7g3aRd/RXGD1aPqDNM+zwaIP7IF9puzPDUzWpmy2G5iQgoSeE486TTLYiuJVvU2ttW5BScFJ8ufvx91Orr2+69bYvJOFDy7UMdMemkfXCXJshaniwNq42/w0egK1g7sEZ4A/ZzuHAOv6RO6fDY93ssP12BuPnPa33X6F9Heplo6jdJLLq1u9lN0XHQzMj?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?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?/fvH4U2+numf6AWVdlirfmN+IXQt3CSM+XHfvUT1P0EepAgpkTHYKYW5SfDbDm7cB3OR6CiDhVJaKqgpQxj?/v/Cvm8f8Af/wp4L9nFs8J1HI++IP+3XkezenH/wBp3v8A5P8A/wC6DUF1L37PS836WP8A3VWTmx1yenOqEISSDbpYP/wFVWX2d1g6glJB5LVW008lUnRWpbahCVOyIUhCAfMqZUKUmjZQlfnxoG1u3bVUJpplTvgq94UlKck7OQMeeVbR99WnT7N2qolja1ZrJxm3w3/1gbUr4kpPbcewPyoe6R6HtPSq3P6pvSEyruEoUW8ZDSMkj6Akd/lUj1F6s676rNN2+TJcTbY5CWIrXwp44zj9o0DiLTUhANuWuDqnTGnZv6G0LakTpqUkreI+EY8/nQbfJer?+rU/w1SnCIb2xQ7JQR5AVK9P16T0jqF+dq/U6bS3HYKlANh1x1R4CEp3DPIwSN2Oc8g4Jeito/St/v0nSgEqG4ovYUsDuc5yeB9+KKjzScj8lDendBj9Pr09IalSLikBX6rOAj94n0pkdQ7QxC6fuMxr2w0q0JTuaUv8AWqUSBj5d67taXq7aAK9UWi2NiWqMWy4tGQB37eopB6as8/W11kX67SZDzkhwuq3KOFKz6VFyclmMwyScBT8TEfmSiKPkqa0HMvN0cdtt3lrbjpOUuEZOMg8E9jx3HNNq3yrvOa/QVqkyEwEnKsrOCaHtO9P7p74l2aytDAxsTgjIpkxpVosrKo?/wtqbHIrC9W6495LItz4HA916P0XoEcDQ+TjyeT7fRc8DTiWAFzF7yntU1brcLgXGYiU4bGSfSge863Qt73aOsJCjgfOtWnuq1o0feDDvEk4kp+JNZObCzsmN0jRbq2C0c+dDiR6IaB8lbtRImsy1sOE7ASBjzqJQ2U9xwe9Ft0ukbVEhDlrjZbX/VgDJVRRp7p1b4TKL3rB5MeEDnYo4zVx07CyMlgYG0e/0VRk9SjxI/UyXb?/qq73WXL0dqBD6CtMGZ9oDIANET2po4i+I0sHcnvmmp1dsOhNa2EDSiGd0Q4Kh5H5+dKy3dCOok2Mwwmzb4TyioywiR4aW+O58MDtk8HJ7AGtAejHJkEbzTm8nyPKpGdfjxojM0EtddDwfH7rV0j01e+r+u3NG2mcEq8ByU4Sc4bSpIOP9YUWe0F0ptfRjVml4kN5L7su0PSH/FVgKcS4U7hnv3HHyov9kPozeulvWqTdrrdW3FO2iSyGFgpeQhSkKQVpP2SQnOMmpn252FP3LT12ECO8EWyUz4zilhTR8VJykJUAc/2gauT02HDdbRvSzrutZWc9rCabfCptohx?++dQ1yZKyoLWo48gM03bxA3P/DjYO1LTpBBSvUbsojJQgnNMu4TFe87QrsaoOqPc7KAb2C1fTo2txiXdyl9qbSUWa8qWJIiuo53H1rd0qsjKpMmfJfEmQ2cIWeam9SRW5cVwqTuBSeKG+lFyDV6k21McgFXBzU+GZ83TZI73b+iqp4GQdUilrZ36o/1P0f1X1NhNvWwRWYsZX61110A/RKM5Ufyol6YdL9QdOC5PsMcvTNvhremBDiT5/C3ykY+eSPlUpAdUz?+joKVfBcHVhwkcp2jjFbest8m9KbRYXdPpYki7yn2nRISTsCA2QRtI77z61ddD0/cWCubVD9oL+/vvtS6rjB1jedZsay1M69KkR4Bt6/BjBI8HxPE+EJAG7PmTUdc/aA0rZ1+5fo/UniNqwom0FwEA4PIWOfn+VcWi9cXe/60uum5rcZpuHA8dhxAUFLcKmwAckjHxnyzxUb1H1xdtLiEmJEivKmuJxvKxweRykg1bgtHwhUhB5Uwz7SujHFBAhagQo?/wDpLUsD8d1aYvWfWt8kXV/SVkguwmHGGYHvjTqHXlrGVlYCuEpwe3qn50O37W2sbfdY9qg2q2uExWpEt50LDUcLQlZUog/ZG4fM9hk0LXPrrf7Hf3IcCyxFRVLS0hx0ubzn7SsZ4BPYeQwPKhdIBtaOOF792i0zGusOvkS1QbxabSy8QrYptt3bwkk9188jH31Fz/aA1PAnPxXbfaUpZJ+NYcGQCc/t+gpeyNcXTVd+YTKYaZEV9aB4efiCkjk5+uKg+pK/dptxbP7Qdzx9TROJ02EIAvdMw?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?/APSbUAOBcnMfQfyomk0lCuALnoxWM6hhgfOenP8AGsVP0cE5/T8I/L31P86pbN1lqiG6hsXhxzcCclCf5V0san1Gr+uuq3CTn+rSMflS2uVxTcNIq4/TkLj?/AO+J/nWCRpX/ANuQ/wD5pP8AOqeyNQXsMhYnKKirH2R/Kub9O6i/9eV/qJ/lXWltEvQaWY+s/D3f1iCMVZS9a7a0RpydcnUk5G3aFbc5BqpfTC9wtP6yjXG5yAzHQTvWQTj8Kc2upY6saRl2/Q60y3WX0Z+IoBH+kBXONJAly71qkMXOfcbPAXFdnhKH3nX/ABVlCeyU7htSOfIVoi9XG2JfvqG56nyCCp2eVJ5/sABP5VHt9CuprxCUWFBHYq97awP9qulr2fOpDhx?+iIw+spr/ALVEHLqtehr2zXR5Tl3tjrwz2ilDA+8gbj+NNTpVruPcnJ8e1wFwG0tpCvDCQ4sduVD+VLVPs5dTEJ3t22IfkZjaf76YvSfo9r3TIucu7Q4ra1MhLYblJcJI58u1I5+yUBPHq6iCemhkOAjELIKzk5x60l+j2oNMWmHDkXbG1lYU4k+YBzRzrO8alvnTe6W2/WsR0RIe1C8/aIFI3S8dh+yNKZV8e3ChVR1dgnjA+qu+hymCZzh4Vq+sntD9N7+zbIugoeJDLWx9Yb2jPp86UC7ndr64osgrW56DgUAt6adkSWiw/sBOVE+VMCzXu26ejBPvrRWgckq86yfUYfj9SNtvP0W56Xkt9P05HU0I+6edK4I8W9anlBx9KMtNZ7Glb1z0zIlSUXeMXVuRsjYVE7U/LPamjofV8adc2nZTwUhacIyeAah?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?+yJUO4Xq3RY8dUjwjGcQpxaAScbVYHA8/Si9+1X0SPBTdnQlXYlCf5URsWXUll0zcXVXlzwZ0ZbSwWUfEnaR+7kDBPY00OmtaS5rjaePV3vAa9oI/FV71Bf52q5TSrjeJ0pLG/BfcLmMp5+3n90fgK+W+4v2Tp5a3YzriGpRLbjf7KsOunBxgnlIPJ7/AEFQEZSkxnXCeQF9/wDNNTc5knppYkgDnCvvJdNTWwtEXpk2KUB2Q4y+sAAfyXZZOq2sdHPPSdN3JDCpLaG3EKZS4ClJJGAoHHKj+NE6vaN6oCxpmOTmFvPSiykmG2AEJRlXAHqpPNLBQQwhHwJG9O4gH+NSd4aEOx2ZkjCpSHpuPRKl+GP/AKR/GkjaGNDW8BNySOmeXv5KGpKPf5L0uRBS46+tS1qICcqJyT+NfE2F4EPMlhlSfiTsTk?/jXWFGtpme7NKcWcoSM0aFRzUFmU2qUtJ8QkhQJ4B+lbXo3jQUeGhLY3Ia7+aRyfvKT+Nb7Uy6qBuUk5dJV+PNbY8Zx2MlO34USMKI8vtUqRalN57ViYzq?+wwPU1LIjIQCNucDvWvwyCfSkSoWu8ciYyjdklCj29KlVRi2gKHf5Vx3tOJ7B5+wuphxII2k8AcmuSKPKTgDjg5r1n61hVhePuFZu+f5Vy5QUEBUwgj1NN7pDquFpT3hU+U2y0/JZS4V5O1GDlWBycUDWPTyUPJlyfuFapzcZ+8iDGklh55QbQveUBGeOSOQPWlLdRS8Jw6zumtrvcJV36Xa0Ei2KOURghvKTgdipOe?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?/wChKZrIS91yuzK2SUhcbwx4g9VbgefpgfKq7dXes2t+kGu5WldP61F5jIYad95uLIdWpSskj4cADt2pl/4otTQYbk6ebZFebbKiiHPcW2fl8bOfzpIzG7FrjV8rTkrTEU3+EtUcImMOqQ8hsnOHWlgpyMkFTZHPfFOMD2Ot3CaNEITc9o/qc/qS36vnXNqY/apCpUSOWgmO2raU/YTg4wT50d63606v6t6Mh3LVrUFpbb21pMRpSE4JGe6j6Cu7TvQuyX7qBbrC/pVmDDlPvBHipeWgoS2pW1ZSsAkfDkpVjJGCQRUP1/s9p0FMi6RsjMZtuMMr8ALCSfopSj?+dMZbmvpoG5U3pzSJNR7BNbR7gPTiO1nIIGPlUXKjgNOKIxwa4OmN1dlaAjJeUM545qbfZVJSWm8Eq4PyFYadjvv3pt5tej472DB9R3AUBaZUe2W+fOkNZ3gtoyOCa86IsEe1xnZraNq5Sysj61MDUVvm29WjxaG1iOrKpIx3rrjJQ20GxgBPAxVj1ef0YhiN9yqromP8AeZ3Zzhtw3+6C9f67kaVmQ/C0zLuQbWXSWT5YHHY+lQetNeTNeqtcx3TE+1paKdnvOdoJWMp7DJPB+mPWng1oGz6ptLFxfjByZCUVNHHcZ5FLrqnFUyuCwsJCxclE49AlmtF0Uf8AFiB8LK9eN58p+qW3VS+DT+s33V7VMPIbakNKztdbLaCUnH0Bz5EA10OvszLYiYzOMph1aVRsulamWy2CW1fMHnjjmuHrFAkXPWjzEeKqQfDbKkpTnjwmxk?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?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?/pK6yzKuRbOHdmPgbPmEgZ4+tV1tSHP0s1piU+puJJmNlYzxjd3/DNP/QlzgnU91trIcStnY+tWcp2ZIGBn50sPwy+6F5tqPtO2m3sOe8IaUEspK1KKjyB/3xUbM10yl16AprIc3eJn9nNd2oLl7hDRbbe2p6RcMKAHBDYPn6ZP8KBJTL70pafhStOUJBJxnzqVNRaQmGWDsoA3G1wdb29MRpaAVkKUTxzRhqZvZLUWHxucG+lBrW26hh3NMyOQv3c70lHpTK05Im3azRrhcYiwrwsFWPlUAAVYUsWuKBqJm2XyxQAp331D77isAFOxwBI+fdNdvTBaZGpp0vbgrekOY9Mq/wB9Dc2zIm6tE2HLKZKIRW2k8AeGFrI/0gMffRB0nd/42kOFISXEuqKRyBkg4FK/cpGlHL/UHVruqv0Oqyxza1rWhL6mwQradud5PxEcnAAwT50b6mnIdtjKkryPCSM/dS5VEsj1uiPqmW9y4tAPhDj?/AMaQvKjhPryB/wCFFF/mKVbkJU4FENp5xjyoJmhryBwETCSLKGtJvpj6vRjCdzCx?/Cvdml+H19Kv/SPMjP8A+GKjLG7t1cwoHnw1j8q923c31sZkEkgyGSM/5gpsdkqsdqicRbJIQTwyr+FVK1Roa+6n6r3UwrcXXZNqQ/Ae94DKGVNqbCnFY5V2UnAGSVDt3FmNZXiNCtb5UoblNKwn7qV+hJTczq5bnZZAZXZpe4eoS6yrb9/b76eeaft4SDcIp0TLj3OHovVkWNIiyLTcZMS4tPrJW0tUZ1DyDn9kOpbx9BVYetV8XqfXk?+Tu3J8YoT9M4qwOqL8NCXjWUZ8pDF2Q1eoxHADywUOgenxIB++lL0l6Maj6tT5+o4zIVGhL8Ve843ck4H4VXZBDX6vAVv0+K2+6I9J6e9w0pDaTJcbWtAXjPbipmNbbtatPXDUDs8rQykpRmvV9kxrU41a0kIWkBCU10a4muW3p9BtCAN1xeG71wTVD0tz5sl0z+OVfdZDIcRmPHySAgzT0K9iEZwkJCpat5z3A9KIo8W7+FzMGa+xNjMZpgDAQkCu5DgDec1U5mW+WVzqH9FfYGGyGFjbO31TA6VsXJqG773N8RJUSB6Ur+tinG9WsQxjbv8fgYGVBI/6tMjp1d2Vh+Oy4FKSeRmlx19lMo1rb0lDxUqOklSWyodz5gfKtj0Z5kxoyeywfX4hHmvA4NFJ7rSQnVrvrtaOf?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?/ypCkVKUP+JtWyQUmtKZBTeW1q+lRxbmWlfis5W15pr6iciROaeRx6inOEqkNTsrQ6zdY/wAK0KBJHlR50gvyz1GRdJOVRHra4JSsZCQlIOT6ZUEpHzUKEn0iU0uMvlLifh?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?+mmh7qhCrnp6JIUPiytAJyRjNav7Pl7oTZ4Kxv2nDGztLRyF+bnV5ROpXCT3DZ7/APuUV80M4oW51OcAyU4489uP7xX6JXPop0tuTpkTtH295w4BUpoE8AD+AFQr3RPpnFBaiaVhtIKt+EIA59a0P8+pZ8TAQmNUn6iObzHUSMJjMn?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?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?+MnyuBh4p+le1SNyvIVlZWZcAFqgStD3UGdoR9u7WotmU39lK+Qa7P8AhjdVc5CIIHpsNZWVrejRtZjWO5WI69I6TKp3YLpje1/1YuL6IsaHBW44cABBoxtPVjrpqN4MxIUIZHxKKTisrKumNDuVSqYVd/aBWk/qoAx2O1VaF3X2gxtw3AJPf4VVlZR+m1cudd79odO4huAcHj4TXPI1J7QySkpiQPngGsrKT02rlFXLqR18s6HJUy3wS0gY4BoOm?+1f1GtSwzLt0ErGc8kZrKyhc0AJQUXdMuvGu?+oE9bE2LEjRAPiUknNM2XHfd8NhqUElR3KINZWUsewSOUrGR4QBMsKATgioDT65Fz1fPu0hWxmKjwGN3n6kVlZTpQBEdxdbWEsrfSlJ8ye9cLMKC4rJkjP+dWVlcDS4jdQmqrveNOsJXZWTMWrsnf2pdz+pXWYPqMKyRENDsFKJP5CsrKQ78pQuRPVHrfnb+goJz81fyraOqHW1PJ05CV9FK/lWVlJS5b2eq/V1tSVzNJsFvPxbFnOPwpgaI1jdtVLW1OtTsEtjkrHf6VlZXAUVx4Rgq3MrO4u7lefNTmlogYXMWCcJZrKynHOJFJAFB6vcuKbQo27+v3pwCcAjPNfVvSDGbV4WVFAz+FZWULeUvZCOsFyF28b0FIQ6lX51zpmM7R8Cu1ZWU291FKF//9k=" width="300px" alt="researchers"> Judea Pearl, Lofti Zadeh and others developed strategies that dealt with incomplete and unsure info by making affordable guesses somewhat than precise logic. But an important development was the revival of "connectionism", including neural network research, by Geoffrey Hinton and others. In 1990, Yann LeCun? efficiently showed that convolutional neural networks can recognize handwritten digits, the primary of many successful purposes of neural networks. The best characteristic of artificial intelligence is its capability to rationalize and take actions that have the best probability of achieving a particular goal. A subset of synthetic intelligence is machine learning , which refers to the concept that pc packages can automatically be taught from and adapt to new data without being assisted by humans. Deep learning strategies allow this automatic studying via the absorption of big amounts of unstructured knowledge such as textual content, photographs, or video. But creating a proprietary generative-AI model is so useful resource intensive that it's out of attain for all but the biggest and best-resourced corporations. To put generative AI to work, firms can either use generative-AI solutions out of the field or fine-tune them to perform a particular task. If you want to prepare slides based on a selected type, for example, you could ask the model to “learn” how headlines are normally written based mostly on the info in the slides, then feed it slide data and ask it to write down appropriate headlines. Often, the amount of updating is restricted , and the length of memory is comparatively brief. Autonomous vehicles, for example, can "learn the highway" and adapt to novel situations, even "learning" from previous experience. AI is being tested and used in the healthcare industry for suggesting drug dosages, figuring out therapies, and for aiding in surgical procedures in the working room. Artificial intelligence refers back to the simulation or approximation of human intelligence in machines. Analytic instruments with a visible person interface allow nontechnical individuals to simply question a system and get an comprehensible answer. Game theory describes rational habits of a quantity of interacting agents, and is utilized in AI programs that make choices that contain other brokers. Knowledge acquisition is the troublesome problem of acquiring knowledge for AI purposes. The knowledge itself was collected by the volunteers and professionals who revealed the information . Those bottom-line improvements will reinforce stability, however the company's inventory still isn't a discount at 60x forward earnings and 14x this yr's gross sales. Those premium valuations counsel there's still a lot of AI hype baked into its volatile stock value. Access our full catalog of over one hundred on-line courses by purchasing an individual or multi-user digital studying subscription right now allowing you to broaden your skills across a variety of our merchandise at one low value. Discover fresh insights into the opportunities, challenges and classes realized from infusing AI into businesses. Put AI to work in your business with IBM’s industry-leading AI expertise and portfolio of options at your aspect. Daniel Crevier wrote that "time has proven the accuracy and perceptiveness of a few of Dreyfus's feedback. Had he formulated them less aggressively, constructive actions they suggested might have been taken a lot earlier."

h2>Text-to-image Ai Generator Introduction</h2> Ashish Vaswani, Noam Shazeer, Niki Parmar et al. "Attention is all you want." Advances in neural data processing methods 30 . Continuous valued neural networks with two hidden layers are sufficient . Moritz Hardt argues that machine studying "is fundamentally the wrong software for a lot of domains, where you are attempting to design interventions and mechanisms that change the world." Compared with symbolic logic, formal Bayesian inference is computationally expensive. AI upscales your picture, enhances your image, remixes the photograph with enjoyable photograph results, removes the background, and adds some captions or graphics from our library on AI-generated photographs for higher storytelling. This website is using a safety service to protect itself from online assaults. There are several actions that could trigger this block including submitting a sure word or phrase, a SQL command or malformed knowledge. AI has the potential to allow sooner, higher selections in any respect ranges of a company. Walmart is also developing an interior design assistant for customers to embellish their rooms. In addition to generative AI, the characteristic additionally leverages AR expertise; customers must addContent a photograph of a room and it'll then take a picture capture of each merchandise that’s in the house. Customers ask the chat assistant for advice on how they should redecorate, and the AI places items in the room that they counsel. Users can express their opinions on which gadgets they wish to maintain or buy.


トップ   編集 凍結 差分 バックアップ 添付 複製 名前変更 リロード   新規 一覧 単語検索 最終更新   ヘルプ   最終更新のRSS
Last-modified: 2023-10-11 (水) 09:50:38 (211d)