In June 1963, MIT received a $2.2 million grant from the newly created Advanced Research Projects Agency . https://bethelnet.io/ was used to fund project MAC which subsumed the "AI Group" founded by Minsky and McCarthy? five years earlier. DARPA continued to supply three million dollars a 12 months till the 70s.DARPA made comparable grants to Newell and Simon's program at CMU and to the Stanford AI Project . Another essential AI laboratory was established at Edinburgh University by Donald Michie in 1965.These four establishments would proceed to be the main facilities of AI research in academia for many years. In Japan, Waseda University initiated the WABOT project in 1967, and in 1972 accomplished the WABOT-1, the world's first full-scale "intelligent" humanoid robotic, or android.

div style="text-align:center"> <iframe width="565" height="316" src="https://www.youtube.com/embed/vfc69SJK9PM" frameborder="0" alt="Artificial Intelegent" allowfullscreen></iframe></div> Probabilistic algorithms can be used for filtering, prediction, smoothing and discovering explanations for streams of data, serving to notion techniques to analyze processes that occur over time (e.g., hidden Markov fashions or Kalman filters). Machines built on this way don’t possess any knowledge of earlier occasions however as an alternative only “react” to what's before them in a given moment. As a end result, they will solely perform sure superior duties within a really narrow scope, corresponding to enjoying chess, and are incapable of performing duties outdoors of their restricted context.

h2>Restricted Reminiscence Machines</h2> It can check with something that directs its conduct to perform targets, such as a person, an animal, a company, a nation, or, within the case of AI, a pc program. Another definition has been adopted by Google, a significant practitioner within the area of AI. This definition stipulates the flexibility of techniques to synthesize information because the manifestation of intelligence, just like the way it's defined in organic intelligence. Russell and Norvig agree with Turing that AI should be outlined by method of "performing" and never "thinking". "Aeronautical engineering texts," they wrote, "do not define the objective of their field as making 'machines that fly so exactly like pigeons that they'll fool other pigeons.

ul> <li>Multitask learning offers a lot of outputs in addition to the target classification.</li> <li>He states "I would say that 50 years in the past, the machine capability was a lot too small, but by 30 years in the past, machine capability wasn't the actual drawback." in a CNET interview.</li> <li>The market chief has been iterating and bettering its information middle GPUs and software ecosystem for a very very long time.</li> <li>The goals of artificial intelligence embrace mimicking human cognitive exercise.</li> <li>That has allowed The Trade Desk to build the "most advanced data market" in the adtech business, and data advantages are the cornerstones of differentiated AI fashions.</li></ul> They can do this as a outcome of each individual input is fed into the mannequin by itself as properly as together with the previous input. Applied AI?simply, artificial intelligence utilized to real-world problems?has severe implications for the enterprise world. By utilizing artificial intelligence, companies have the potential to make business more environment friendly and profitable. But finally, the worth of artificial intelligence isn’t within the techniques themselves however in how firms use those systems to assist humans?and their capability to explainto shareholders and the public what those techniques do?in a way that builds and earns belief. When most people hear the term synthetic intelligence, the very first thing they normally consider is robots.

h3>Do Human-beings Really Need Artificial Intelligence?</h3> This invention would inspire a handful of scientists to begin discussing the potential of thinking machines. Eventually, it turned obvious that commercial developers and researchers had grossly underestimated the difficulty of the project. In 1974, in response to the criticism from James Lighthill and ongoing strain from congress, the U.S. and British Governments stopped funding undirected research into artificial intelligence, and the tough years that adopted would later be often identified as an "AI winter". Seven years later, a visionary initiative by the Japanese Government inspired governments and business to provide AI with billions of dollars, however by the late 1980s the investors turned disillusioned and withdrew funding once more. In India, corporations are already testing out tips on how to substitute customer support workers and call heart brokers with giant language models, mentioned Sharma, although he declined to reveal which companies he was aware of that were doing these sorts of tests.

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?/8lbgL+jXU0TH/AA1qKand395+29JuJpZQjqC8l3I27b3eWy2/PshfA8sV37gjsLD4uNSZ7RGClbGCVZZgMDPpNyV2qxOcpGDj3vCtVDDFW9zGWXiZSqNL4Jf9nOIrKxbpcSj4lbM/wN2MfWveTh2Nl3R3I5/lE0fcbj/qyFzEf?/3K+i7Ps00KJAg06FgPGR5pWPxLSOTXledmGjOG7q3e1dlIEtrcTxsvLrsZ2jcfBlIPiKwnLG+iOjEsy?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?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?+5F543ivmuO6S4aaEDEMk8zWas2WiLO2y3Yk/lZeSkn8yjrkk3tzLcXcbTd60occ25seRBIYeYIBx8K06fMRaNsq7NgEEjY45BwB+Y5zj55FZydm+LG4dVs/qTZ6dNdTLawKWmmYxqJGWKNCVJZpJJSFRQgZiSegNZHVNBhiZoUnOp3aIVlmj3+h22ObLAWw0zrlgCdq5c5QFRnx1SRo19KjbKTq8jhsA7wQksIKBdkZcZCry2lQOnPB3Wr3Eihd6xxrj9lCojiyN3MovInpz?+XjSTsucVFp12M9ZWqRrkjfKebYIIyTk5kGQRz6JnOOq1sXCzb5WD8gFyFj?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?/Cnb62pcUScM3ej23o8moalpyTpMZmJsjdbZJreWLayOls24A+zv8QDWm/8Ag+gRd8RhlKsLfRwysMMrCXVQVYeDA5BHwrr/AGQ8VcPaprGuQWGkW2natpl3cw3M5tLOOe8HpU0M90k0A3uhnjJYMQ2ZFJ/NRLqOK2OI9p+p2/APGsl1pNhBJFeaKkvoTSNDBA95dyJL3WxT3aZ05WCAYHfsBgACu89ifaZNxBoV5q81nDbSW093EsEcjyowt7eKZWLsoIJMhHTwr4p7ar7VZ9f1I60ytqMM5tpRGhjgSOIf8XFtGWYpbGJkkUEkkS5JJJJ+mfwf/wCheq/881P/AKha0n0GupxPtj7f7vibSfV82mW1mnexXXew3EsrbokkATa8ajB7w88+Hxrtn4ucDgrSj?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?+PAytXzx2qcMvrHaJf6amc3uq2sLleqQeh2r3Mo+KQLK/wD0K+qO2PgSfVE0aGx1S20lNHvrbUY45IDKJJLMx+iKAs8eyNUEykc8iTwxUZJe6kjTDC5uTPhP8T/A40PirU7ZU221zML+zAwB6PfFn2qPBI5u/jH/ACNfTPF6g9jUPx0bSB9b+zzVr/4Qjg8XGn6Zr8K7msZ/Q7pl2kG0vGDQSM3iqXKhRj?/8Wau+LTjsahI540bSD9L6zNc51t3R8YXTYhYf6oX9DgH+dYm3nUI4PVg3L9Kys5JjbkT7J5c/5/OsOEXuy2fa9oY+G3kflRN2a4FTdeD7o/H24ThXRjj/AO1bXp/6Lv66noHCdprvBGmaVeKO4vuH9NiLAKXik9BgeKePPLvY5FSQfFK5X+P3/RTRc/8A5ta/+y9QrN9pfEVzpHZzoGpWTBLmzt+F5oic7WIW0Vo3A6xujMjDxV2FLuTbcUvU0v8AAjoV5pOtcWaTfjbcWC2MMijJQlZbvbNGSBlHjMbK2BlSlazpnbVc8Na/xfFa6bBe+ka7qEkzTTSRd16NqF3AhGyNshu8A59MAeVfVHZq+m6s0fFWn8n1fTba3nHLP/FJZmVJcdLiGSWeFj47FHRRXxDxjrUK6zxVYzoipLr2vSpLyVxOl?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?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?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?+tY5IpfY6sEpPf1s7aO365j4U/4KXGm215aNYy2Ud69xIkyR73a1cRbCve257rbz6wLWwdnX4rb7SNJsNKj0aynSwtY7ZZZLudGlWIYDsgiIUnyBNfOdhuYBSAyOwYhshUVQS0hYfk9lSPiB5gY9blQ43QlWCkhY40VCqHxfJ3O3Idc1xno0mjvfan+KO817SL3SJdHs7VLxI0aeO5ld0Ec8cwKq0YDZMYHXxr52lTmdvRuWBz6+Q8a85ZT0IIPkRg?/xrO8KW67hI4yT+UHwXz?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?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?+z/i8aVcM7aZpGph4ViEOsWb3sER3K/ewxpNHsmwNu7J5MRisZeRKjyIrrKqSSRrKoG2VUdkWVQD+VgAw?/vVg3BVz9PpyqlImUD624u4nsoOHeG9Vi4X4Se41gat6Skuju9unoN0kEXo6LchkyrEtuZ8npjpXCdXve?/uZrgW9taiaQv6NZRGC0gzj9nbwlmMcQxyXcfnW/cc3OOCOz8+Y4mz+mpwiudthhkVrLeNmOJuM6Ns7ILK3vOINFtrqGO4gm1K1SWGZFkjkRpAGV0YYZSOoNav2qadbJxFq8MQECQatqUFvHD3UccXdX8scCZchYYVAUZ8APDHLcOwZP8A4TaD8NUtP/WCsH2z6I767rk0G0v661jfGcDvB6xuOYb3sDGDy+XjwzVHvYcjknGrTS2+D6r1MPPNJfXNtDFGgufRbfSjh0K3F135EcpePkVZ3RARnlGvM5zXZe0bW9N4Wvn0HTNC0PUWsI4Y9S1HXLBtQub67khjnlEWZUFrbhZFXanjnGMZbhPDmu+hX+n3U8JC2d3azSAf2jLBdJcHcCPab2SAfIAfGu4du8J0/i2bWXsLfVtL1Tur+wM8ckmm38VzYpCFMseA0kcgLhQc?+zGSMMMuDb6mHExjF1Hoab2pXGhzy2V3oiei+l2iyalpYW47nTL9dokitpp41E1s+4le7LBe7b8u5VGmNESyssndmPcwOXU5KEAqyKfbBxgHAOTkiut9v2mWken8J3tvpNto1xqdjqVxeWttDJCNyTWS25ZJjvxsdyN3XvDXJqpmMToHYHoVhe6rPc6nBHNp+k2Nxq2oRyIhieC2j2wwOHjKSiScqdhxnuiefPFp2/8ACun6dqc17p0UMVlqNpp?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?/AWt3OkyMLxdfsVDC1iufYlgtRIFhlSRSO7PXGRz6Vo3aDxzxBrEMUervJJDbymWInTrezVJHUx5MkFvHuypIwxI59M1t2POi3qtmlGuv8AZq1lZcH61rEmj6Pql7b63ZWkJ1ey9MjjguIbYOqhXRwAXZgAwGSetcgNdc4UgeTs84gWNHkb/hJph2xqztgQ2ZJCqCcAZpI0n0/ghbPS+JtI1e7tdKtNF1vQrT1nLHpneR6bqWnRk?+l4s5Gb0WeEDcNrHO5QSc+zyKux9kul3GkaHxXrWoQy2dveaFc6FpwuY3he/vdTwuLeOQBpY4xGjM4G3DNz9h9vHKTHjfVCoNTUGoN0RUVNRQUiKg1NQaRSKaGlDSKRSaiqqpoZQNU1VUGkWjJipqBU17zPgUSKmqRUmpZaJpSlSy0KUpUs0QpSlSy0TSoNKhmiKkYqwZThlIZSOoIOQfqKveINZutQuZby?+ne5upiplnk275CkaxJnaAOSIi8h0UVY0pFogirziTXr68EL3N00r2lpFZW7zJFJ3Npb72igUMmNib3wSCfaPOvGOCRgWWN3AzkhW28huOXCtt5c84OBWF1fUWjdoZobdgpBKwm4ibGc7d8rEq2V6Op6dCOrS7sUpdl1LmTj7U/V7aS9zI2n996R6IwRI0uDk96qKuMncSQRz3E8jzqz4bBlkLEZCR7MY5FpWLN/sgD9asr3Vo5u8UQKA3tK5zvQ9WJ6gnr+XaD5DpWwcK2eyFSR7Untt/0ug/QYrp4aGqap2upx8bk0Ynap9EWV3cNZb4pIjcWkwVV3SOrxBckRo2SvLw3o3Ll03A59eLbzWpzPqF1Nd3ESLCklwyvKtrGzmGMsiqG272yQBksT41bcRlBEwcArjmD05cxWn6Xe92cglDuJidWH7Mc9yuMHKNkdfd6c9wef/wAOTbp48E8K3xOLfZ+fP53Nl4q1Lb+yU/3v6VYcE8UXumXsd5YXctlcqskfpEO0yLHIhDqA6sMNhR0rEaoJXJYkMTjJHLGemeeFznlz5+Ga9dGEcTFpBv2Dew5GPPIKsnvLn90fmOByGa58uXU9jtw4eWt+p0k9u3GGSDxDfleY6Ww3A52j+x9nl18vpXOlH+XTkAAMAAeAA5V6LdyPvLMcSHcw5c8fl8PD4YHkB0oBXOzqiu5caXezWs0VxbTS29xC4khngkeKaJxkBo5EIZDgkcj0JFbrr/bFxTf2rWd5rl9LbSJsliHcQGVCMFJZbeJHlQjkVZiCCQcgmtBJxXnJLSKo9l5/Icqx+oR4fPng/wC/0q/t2AQHzJ/p/lVtqDggEdR/KhAzJy6/ez2llYzXMklnp3pHoNu23ZbelSCW47vCg+3IAxyT0q0N+8R5cx4irHTps5B61dzxbhitYy2oxcN9SNk4U4hkhnhurWVoLm3kWWKRMb45EOVdcgjIPmKzz38lxNLNO5kmnlkmmkbG6SWZ2kkkbHLczsxOB41ylZHhfI8P41t+jaoJVBH5l6iubNHY9T9PzJTpmZ17ShKjMFBYqR/mCPI5A/TNXvAvapxBpVuLLTtWurOKLGYf2U0IQtgyxR3MUghbn7QjAyQW5lq99PuBIozWucZae0LJdxfukBx8DnP6HJHzxXJjk06Pd4rBGcddXXX4F9xJrl7qNw9zf3k19cN7JnmlaX2VztWMnkkXMkKgC+0TjnWOqi2VQAVJKyftIxjkEIHsg/Btwx4DHny9wldcZWrPAy4Xjlp/KLzWtcvL1bVLu4knSyt0tLRX2hbe2j/JDEqKAFHn1OBknAr34ZvtRQ3Fpp8sqnU4vQbmFApW6hkyO5kVlOV9puYwRk4IrHRQFjgf1wP0/l4kgeNfQH4eeChGjalOnttmK1Vh7SgcpJTnoxPsgjyPhimjKVJWXVrwjZ6Dw9drMEe4mi/4xMQC0s7kbY0J6ICMAeS5r55stQntruO7tJWguIJRLBNHt3RSLna67gRkfEGuu9v/ABWLmYWUDZgtydxB5PL0ZviB0H6+dcntrbcaUmkbYIS6vuXcMss0stxM5kmnlknmlbG6SaV2klkbAxuZ2ZjjzrTOIbw3Vx3ER9hSdzDpy6nl4D+dZ/i3V1tou4iIM0g9o/8A3a/cawmi2XdJub878z5gdQv+Z/7qxhG3qZ1Z8r08tfP+jc+EePda0eKSHS9SuLGKaQSypB3WJJAix727yNva2Ko5eVe/E3aXxBqds9nqOrXV5au0bvBL3OxmicSRsdkYOQ6qevhWqUxWtnLpV2Umtk4Q4+1rR45IdL1K5sYppO+lSDusSShFjDt3kbc9iKOXlWuVSRSspxsy/FXFOp6rIs2p391fSICIzczM6xg/mEUf5Is4GdgGcDPSsPUmoNDZUY0Kg1NQag0RFU1VUGgtEVBqag0hog1FSaigpEVTVRqKTKIqDU1BpFoyQqc1Aqa95nwKJFKgVNSy0TmmaigqS0VVFKCpZoiaUqBUstE0pSpNEKvdDthNcwREFleRdwGQSoOWAI6ZFWVZLhckXcJAckNuHdwidvZBb+zP93qenxO2rxJOasjO2sbaM5qPF1tBPcw7BEInMUMaDG1drqWRsBQymU8sLkk8lNc+1LUbdAsLhbgRvKXwvdl5JSMyZ5hgFSNB7XIRjAHMtccTXMcjyQk72aR3fYW9jaW7tWDHOCW3YyThVyARVhe6VbYieCRpk2xqyY2u1y6g9wpGARuzk45KpOSSM7znJ7KtvzocuLFBU3e/517FlYWQdzhSsZbcdw5rGDlVLebcv0Hxrc7KQAVZtZejwhTgufakIHIscZx?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?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?/NJJEvtZABePmXOeQJC5GSQFrHV6aCNlwWnmgKEqyieASopVhyiRmIV8OMvtZsdPGrxfvRnxH/rZhbvRmnu7gpLGFDs0zN0Rd+0nCg94clfLcz4HMith0HTkyJANscYIgVsblQ/nlbHIzSHmSPAKByAAxORc3U2wloO/kmkdsEyks232goPdYOFTwBJ6tgZya5ATC/w/lXdw2ON62eZx2adLHF9UWWvXG4kDpXjoloZHzjkP41b3OWbHnW48KacAuSOQ6npz8a4uO4irZ7P6H+n8ySXZGn2+ld56VMT7Kzsufj+fA+QkFWXdomTy5efQfOvODiCT0b0cA7txZiOruwG5m+QUD9KxyB5j1yP4fOvIlGTk76H1MM2KOOKgrlR6XVwZTsTODy+LfE+S/CrvuYbdAZfaduewHBbHPr+6vxqlCluufzSeZ8Pl8fhXrFpxl?/aSgjHtAMfac4z7fur/AB+VUo6tuxjkyrF70qc3/CLDv5d7SuoCEJkABQikDZtU8yuCvPn?+YE9cn3UPIfZ5KOrHkMVsd68csYgjmiAEcohaSRcOdkrLAcpjGx2RHJUBcAhAfY1O4mZoo41ZsDcsi7SuCD7BL59oFT8DlT8Cda8HG8iX7t/7JubkLmOH5PL/AAIX+teNjamVticl?/ff/ACqLS2aVtkYz7z/uqPhWy28MdtH1wB1J6sf86pKjnnNze56W8KRJjkFA556Y8c152mtagHVYO9DL/Zkc22joy55gVTbMJpAZdwiX2hGvNn93PxP8B8a3PiTWktYbezWztpCUjmuo5TMYxKhk9Hjwkg5osr5x7LEqcZXNJs0hDdJmL0nQby7dRclIFYguC6vLIzE8u6Qs4J67cZPhnmKzXHZszbppscav3J/aTHbuicbv2cLLkKwLHdjIzkZYljWGtuIJiXjhhtrRdpEklrAsLNuyAgZRnGM5Ylm8ioJBt8VWPLJRpdyOK4aHMXp9zU57eS1fa3tRsSEcdD44I/cbBHI/MZHOqm9rA8+lZ3WLLvo2AxvxlSfEjnj?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?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?/wCk5+yPA5PgKuZ9S7yfdO25gRvxgksoChR4cgAP0q11iOYzGP8AaPJM7OXkCd7KXYkuXChmJOeZJrzvNKnjCiXeAoAAP5QAPAHkKUo7UViy1LV1Nh4f1N+/tjNHayWqPHHNAEAYwd5mRlkVw3fkMx3ZHPHQDFd21HhLgiWNWj1aKyL42gajGZCx6KYLre27/VAzXzFaoFPPmPEHofpW16DdLGP2MlzbH/zaU7T81BBP1qIpo2zSjkW2z+P+DqFx2RzSzAWE81zaMjN6VJYywBWB5R7JXUygj9+MEfCucdsfZxeaMsF5IN0MzmJpUR4wk4G+MEPzDOqucjlmI+YrPWPGmoWoxDqMhUeBDg/ruJrGcW9oV5f2z2d5cG4t5CpaNmwpKMGQjaAQQwBraMqOKcGzW9D1FcgsQqXCl8k4VZk9mZfhnAYfOrPWLnvyQh?/Zg/4iPE/D4fH6Ym9iURYhdtquC0bMCW3KfaXCjOAhB+Yqm5hdBlGOxgD8j/Q9a1y53KGkx4XhY48utmxQay9tp8YiP5Lh0mIALBX3yRkeQJ8fHuyK9NDnjuZz3z7l2sx24G+NsIUmGMFWLoNpGcqCCPHV9MupIWJG1lYbZI5FDxyLnO11PUZAP6eFbDZa5aW6OYbLbJIPaAmYqeecZYEquceyPLrXLaR6jjKStdDDahAYLx4w2QjlVJ/MY9odC3x2soz8DXjaW5bmep6UEzzzSzyYLuSTgYGWxyA8ABj9BW28CaBJeykJG0kcIWS42EBliz7W3PNnKq?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?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?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?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?+8Ph1/Sr24uSxVwXZ9kZXdI0m1mg/aMFzhT3gZtuOQIB86ye+6ex2RelJSjUl?/H56Ge1WOMdxKkaRtOjNIsedm6MRqCoIGM7j0AHLpVlXrcSsUtVcICIGf2WLHbK643ggbWGw8snzzXlRDoTxNcx16fZCooKVRkiKGlQaTKFRQ1FIaFKVFDLQNU1UappFIVFTUUikQaihpSKFQamqaCkX9M1rfr6b3Y/o33U9fTe7H9G+6vZ50T4lcLM2UUrWvX03uxfRvup6/m92P6N91TzolezTNmNK1n1/N7sX0b7qev5vdi+jfdS5sSuRI2agrWfX83uxfRvup6/m92L6N91J5EWsMjZzUCtZ9fze7F9G+6ofXZiCNsYyMZAbP8A/ap1opYpF1fyGeUIv5QcfD4mti021AUKByFaXaai8RJVUJPvBv8AIisjFxTcL0SH9Vf766MObHHd9Tk4rhsuTaPT4m+QxgCsLxhe7I1iBIMrbTjmduRn?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?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" width="302px" alt="artificial neural networks"> But the event and use of the brand new technologies it brings usually are not with out technical challenges and dangers. From these pointers, we will counsel that future AI must be equipped with human sensibility or “AI humanities.” To accomplish this, AI researchers, producers, and all industries should keep in mind that expertise is to serve to not manipulate humans and his society. Bostrom and Judkowsky listed duty, transparency, auditability, incorruptibility, and predictability as standards for the computerized society to consider.


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Last-modified: 2023-10-12 (木) 17:33:14 (209d)