{"id":2214,"date":"2024-07-29T03:26:43","date_gmt":"2024-07-28T19:26:43","guid":{"rendered":"http:\/\/www.xzclass.com\/?p=2214"},"modified":"2024-08-22T14:40:04","modified_gmt":"2024-08-22T06:40:04","slug":"%e3%80%90%e6%94%b6%e8%97%8f%e3%80%91%e5%85%a8%e7%bd%91%e6%9c%80%e8%af%a6%e7%bb%86%e7%9a%84ai%e5%a4%a7%e4%ba%8b%e8%ae%b0%ef%bc%81","status":"publish","type":"post","link":"http:\/\/www.xzclass.com\/?p=2214","title":{"rendered":"\u3010\u6536\u85cf\u3011\u5168\u7f51\u6700\u8be6\u7ec6\u7684AI\u5927\u4e8b\u8bb0\uff01"},"content":{"rendered":"
\u5f15\u8a00\uff1a\u524d\u51e0\u5929\u5199AI\u7b80\u53f2\uff08<\/span>\u94fe\u63a5<\/a><\/span>\uff09\u7684\u65f6\u5019\uff0c\u987a\u4fbf\u6574\u7406\u4e86\u8fd9\u4efd\u7f16\u5e74\u4f53\u7684AI\u5927\u4e8b\u8bb0\uff0c\u53d1\u7ed9\u5927\u5bb6\u53c2\u8003\u3002<\/span><\/section>\n
1942\u5e74\uff0c\u7f8e\u56fd\u79d1\u5e7b\u5c0f\u8bf4\u5bb6\u827e\u8428\u514b\u00b7\u963f\u897f\u83ab\u592b\uff08Isaac Asimov\uff09\u5728\u81ea\u5df1\u7684\u77ed\u7bc7\u5c0f\u8bf4\u300aRunaround\uff08\u73af\u821e\uff09\u300b\u4e2d\u63d0\u51fa\u4e86\u5f71\u54cd\u6df1\u8fdc\u7684\u201c\u673a\u5668\u4eba\u4e09\u5b9a\u5f8b\u201d\uff1a\u673a\u5668\u4eba\u4e0d\u5f97\u4f24\u5bb3\u4eba\u7c7b\uff0c\u6216\u5750\u89c6\u4eba\u7c7b\u53d7\u5230\u4f24\u5bb3\uff1b\u9664\u975e\u8fdd\u80cc\u7b2c\u4e00\u5b9a\u5f8b\uff0c\u5426\u5219\u673a\u5668\u4eba\u5fc5\u987b\u670d\u4ece\u4eba\u7c7b\u547d\u4ee4\uff1b\u9664\u975e\u8fdd\u80cc\u7b2c\u4e00\u6216\u7b2c\u4e8c\u5b9a\u5f8b\uff0c\u5426\u5219\u673a\u5668\u4eba\u5fc5\u987b\u4fdd\u62a4\u81ea\u5df1\u3002\u540e\u6765\uff0c\u8fd9\u7bc7\u5c0f\u8bf4\u88ab\u5408\u51651950\u5e74\u51fa\u7248\u7684\u77ed\u7bc7\u79d1\u5e7b\u5c0f\u8bf4\u96c6\u300aI,Robot\uff08\u6211\uff0c\u673a\u5668\u4eba\uff09\u300b\u4e2d\u3002<\/span><\/section>\n
1943\u5e74\uff0c\u7f8e\u56fd\u795e\u7ecf\u751f\u7406\u5b66\u5bb6\u6c83\u4f26\u00b7\u9ea6\u5361\u6d1b\u514b\uff08Warren McCulloch\uff09\u548c\u6570\u5b66\u5bb6\u6c83\u5c14\u7279\u00b7\u76ae\u8328\uff08Walter Pitts\uff09\uff0c\u57fa\u4e8e\u4eba\u7c7b\u5927\u8111\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u53d1\u8868\u4e86\u300aA logical calculus of ideas immanent in nervous activity\uff08\u795e\u7ecf\u6d3b\u52a8\u4e2d\u5185\u5728\u601d\u60f3\u7684\u903b\u8f91\u6f14\u7b97\uff09\u300b\u8bba\u6587\uff0c\u63d0\u51fa\u4e86\u4e00\u4e2a\u5f62\u5f0f\u795e\u7ecf\u5143\u7684\u8ba1\u7b97\u673a\u6a21\u578b\uff0c\u5e76\u5c06\u5176\u53d6\u540d\u4e3aM-P\uff08McCulloch&Pitts\uff09\u6a21\u578b\u3002<\/span><\/section>\n
1949\u5e74\uff0c\u5510\u7eb3\u5fb7\u00b7\u8d6b\u5e03\uff08Donald O. Hebb\uff09\u5728\u81ea\u5df1\u7684\u8457\u4f5c\u300aThe Organization of Behavior; a Neuropsychological Theory\uff08\u884c\u4e3a\u7684\u7ec4\u7ec7\uff1a\u4e00\u79cd\u795e\u7ecf\u5fc3\u7406\u5b66\u7406\u8bba\uff09\u300b\u4e2d\uff0c\u63cf\u8ff0\u4e86\u7a81\u89e6\u53ef\u5851\u6027\u7684\u57fa\u672c\u539f\u7406\uff0c\u5bf9\u5b66\u4e60\u548c\u8bb0\u5fc6\u63d0\u4f9b\u4e86\u751f\u7406\u5b66\u5c42\u9762\u7684\u65b0\u7406\u89e3\u3002\u8d6b\u5e03\u4e5f\u51ed\u6b64\u88ab\u8a89\u4e3a\u201c\u795e\u7ecf\u5fc3\u7406\u5b66\u4e0e\u795e\u7ecf\u7f51\u7edc\u4e4b\u7236\u201d\u3002<\/span><\/section>\n
1950\u5e74\uff0c\u963f\u5170\u00b7\u56fe\u7075\u5728\u300aMind<\/span>\uff08\u5fc3<\/span>\u7075<\/span>\uff09\u300b\u6742\u5fd7\u4e0a\u53d1\u8868\u4e86\u91cd\u8981\u8bba\u6587\u300aComputing Machi<\/span>nery and Intelligence<\/span>\uff08\u8ba1\u7b97\u673a\u5668\u4e0e\u667a\u80fd<\/span>\uff09\u300b\uff0c\u5e76\u63d0\u51fa\u4e86\u8457\u540d\u7684\u56fe\u7075\u6d4b\u8bd5\u3002<\/span><\/section>\n

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\u963f\u5170\u00b7\u56fe\u7075<\/span><\/section>\n
1950\u5e74\uff0c\u9a6c\u6587\u00b7\u660e\u65af\u57fa\uff08Marvin Minsky\uff09\u548c\u9093\u6069\u00b7\u57c3\u5fb7\u8499\uff08Dunn Edmund\uff09\u6784\u5efa\u4e86\u7b2c\u4e00\u53f0\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u673aSNARC\u3002<\/span><\/section>\n
1950\u5e74\uff0c\u514b\u52b3\u5fb7\u00b7\u9999\u519c\uff08Claude Shannon\uff09\u53d1\u8868\u8bba\u6587\u300aProgramming a computer for playing chess\uff08\u4e3a\u4e0b\u68cb\u7f16\u7a0b\u8ba1\u7b97\u673a\uff09\u300b\u201d\u3002\u9999\u519c\u8ba4\u4e3a\uff0c\u603b\u6709\u4e00\u5929\uff0c\u8ba1\u7b97\u673a\u4f1a\u51fb\u8d25\u4e16\u754c\u51a0\u519b\u3002\u8fd9\u4e00\u5e74\uff0c\u4ed6\u8fd8\u53d1\u660e\u4e86\u4e00\u79cd\u7531\u673a\u7535\u7ee7\u7535\u5668\u7535\u8def\u63a7\u5236\u7684\u53ef\u4ee5\u8d70\u8ff7\u5bab\u7684\u673a\u68b0\u8001\u9f20\u2014\u2014\u5fd2\u4fee\u65af\uff08Theseus\uff09\u3002<\/span><\/section>\n

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\u514b\u52b3\u5fb7\u00b7\u9999\u519c<\/span><\/section>\n
1954\u5e74\uff0cGeorgetown\uff08\u4e54\u6cbb\u6566\uff09\u5927\u5b66\u548cIBM\u5408\u4f5c\uff0c\u8fdb\u884c\u4e86\u4e00\u6b21\u540d\u4e3a\u201cGeorgetown Experiment\u201d\u7684\u5b9e\u9a8c\uff0c\u6210\u529f\u5730\u4f7f\u7528\u673a\u5668\u5c0660\u591a\u4e2a\u4fc4\u8bed\u53e5\u5b50\u7ffb\u8bd1\u6210\u82f1\u6587\u3002\u8fd9\u662f\u673a\u5668\u7ffb\u8bd1\u548cNLP\uff08\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff09\u7684\u4e00\u6b21\u91cd\u8981\u5c1d\u8bd5\u3002<\/span><\/section>\n
1955\u5e749\u6708\uff0c\u7ea6\u7ff0\u00b7\u9ea6\u5361\u9521\uff08John McCarthy\uff09\u3001\u9a6c\u6587\u00b7\u660e\u65af\u57fa\u3001\u514b\u52b3\u5fb7\u00b7\u9999\u519c\u3001\u7eb3\u6492\u5c3c\u5c14\u00b7\u7f57\u5207\u65af\u7279\uff08N. Rochester\uff09\u56db\u4eba\uff0c\u5171\u540c\u63d0\u51fa\u4e86\u4e00\u4e2a\u5173\u4e8e\u673a\u5668\u667a\u80fd\u7684\u7814\u7a76\u9879\u76ee\u3002\u5728\u9879\u76ee\u4e2d\uff0c\u9996\u6b21\u5f15\u5165\u4e86\u201cArtificial Intelligence\u201d\u8fd9\u4e2a\u8bcd\uff0c\u4e5f\u5c31\u662f\u4eba\u5de5\u667a\u80fd\u3002<\/span><\/section>\n
1955\u5e74\uff0c\u8d6b\u4f2f\u7279\u00b7\u897f\u8499\uff08Herbert A. Simon\uff0c\u4e5f\u8bd1\u4e3a\u53f8\u9a6c\u8d3a\uff09\u548c\u827e\u4f26\u00b7\u7ebd\u7ef4\u5c14\uff08Allen Newell\uff09\u5f00\u53d1\u7684\u4e00\u4e2a\u540d\u4e3a\u201c\u903b\u8f91\u7406\u8bba\u5bb6\uff08Logic Theorist\uff09\u201d\u7684\u7a0b\u5e8f\u3002\u201c\u903b\u8f91\u7406\u8bba\u5bb6\u201d\u88ab\u8ba4\u4e3a\u662f\u4eba\u7c7b\u5386\u53f2\u4e0a\u7b2c\u4e00\u4e2a\u4eba\u5de5\u667a\u80fd\u7a0b\u5e8f\u3002<\/span><\/section>\n
1956\u5e746\u6708\uff0c\u5728\u7ea6\u7ff0\u00b7\u9ea6\u5361\u9521\u7b49\u4eba\u7684\u53ec\u96c6\u4e0b\uff0c\u8457\u540d\u7684\u8fbe\u7279\u8305\u65af\u4f1a\u8bae\uff08Dartmouth workshop\uff09\u5728\u7f8e\u56fd\u65b0\u7f55\u5e03\u4ec0\u5c14\u5dde\u6c49\u8bfa\u5a01\u9547\u7684\u8fbe\u7279\u8305\u65af\u5b66\u9662\u53ec\u5f00\u3002\u8fd9\u573a\u4f1a\u8bae\u6807\u5fd7\u7740\u4eba\u5de5\u667a\u80fd\u4f5c\u4e3a\u4e00\u4e2a\u7814\u7a76\u9886\u57df\u6b63\u5f0f\u8bde\u751f\u3002<\/span><\/section>\n
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1957\u5e74\uff0c\u7f8e\u56fd\u5eb7\u5948\u5c14\u5927\u5b66\u7684\u5fc3\u7406\u5b66\u5bb6\u548c\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6\u5f17\u5170\u514b\u00b7\u7f57\u68ee\u5e03\u62c9\u7279\uff08Frank Rosenblatt\uff09\uff0c\u5728\u4e00\u53f0IBM-704\u8ba1\u7b97\u673a\u4e0a\uff0c\u6a21\u62df\u5b9e\u73b0\u4e86\u4e00\u79cd\u4ed6\u53d1\u660e\u7684\u53eb\u201c\u611f\u77e5\u673a (Perceptron) \u201d\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u3002<\/span><\/section>\n

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\u5f17\u5170\u514b\u00b7\u7f57\u68ee\u5e03\u62c9\u7279<\/span><\/section>\n
1957\u5e74\uff0c\u8d6b\u4f2f\u7279\u00b7\u897f\u8499\u7b49\u4eba\u5728\u201c\u903b\u8f91\u7406\u8bba\u5bb6\u201d\u7684\u57fa\u7840\u4e0a\uff0c\u53c8\u63a8\u51fa\u4e86\u901a\u7528\u95ee\u9898\u89e3\u51b3\u5668\uff08General Problem Solver\uff0cGPS\uff09\u3002\u8fd9\u662f\u4e00\u4e2a\u65e8\u5728\u6a21\u4eff\u4eba\u7c7b\u89e3\u51b3\u95ee\u9898\u7684\u7a0b\u5e8f\u3002<\/span><\/section>\n
1957\u5e74\uff0c\u5361\u5185\u57fa\u6885\u9686\u5927\u5b66\u5efa\u7acb\u4e86\u4e16\u754c\u4e0a\u7b2c\u4e00\u4e2a\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u5b9e\u9a8c\u5ba4\u3002<\/span><\/section>\n
1958\u5e74\uff0c\u7ea6\u7ff0\u00b7\u9ea6\u5361\u9521\u6b63\u5f0f\u53d1\u5e03\u4e86\u81ea\u5df1\u5f00\u53d1\u7684\u4eba\u5de5\u667a\u80fd\u7f16\u7a0b\u8bed\u8a00\u2014\u2014LISP\uff08LIST PROCESSING\uff0c\u610f\u601d\u662f”\u8868\u5904\u7406”\uff09\u3002\u540e\u6765\u7684\u5f88\u591a\u77e5\u540dAI\u7a0b\u5e8f\uff0c\u90fd\u662f\u57fa\u4e8eLISP\u5f00\u53d1\u7684\u3002<\/span><\/section>\n

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\u7ea6\u7ff0\u00b7\u9ea6\u5361\u9521\uff081927-2011\uff09<\/span><\/section>\n
1959\u5e74\uff0c\u7f8e\u56fd\u53d1\u660e\u5bb6\u4e54\u6cbb\u00b7\u5fb7\u6c83\u5c14\uff08George Devol\uff09\u4e0e\u7ea6\u745f\u592b\u00b7\u82f1\u683c\u4f2f\u683c\uff08Joseph Engelberger\uff09\u53d1\u660e\u4e86\u4eba\u7c7b\u9996\u53f0\u5de5\u4e1a\u673a\u5668\u4eba\u2014\u2014Unimate\u3002Unimate\u91cd\u8fbe\u4e24\u5428\uff0c\u5b89\u88c5\u8fd0\u884c\u4e8e\u901a\u7528\u6c7d\u8f66\u751f\u4ea7\u7ebf\uff0c\u53ef\u4ee5\u63a7\u5236\u4e00\u4e2a\u673a\u68b0\u81c2\uff0c\u642c\u8fd0\u548c\u5806\u53e0\u70ed\u538b\u94f8\u91d1\u5c5e\u4ef6\u3002<\/span><\/section>\n
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\u5de6\u56fe\u4e3aUnimate<\/span><\/span><\/section>\n
\u53f3\u56fe\u662f\u7ea6\u745f\u592b\u00b7\u82f1\u683c\u4f2f\u683c\uff08\u5de6\uff09\u3001\u4e54\u6cbb\u00b7\u5fb7\u6c83\u5c14\uff08\u53f3\uff09<\/span><\/span><\/section>\n

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1959\u5e74\uff0c\u8d6b\u4f2f\u7279\u00b7\u683c\u5170\u7279\uff08Herbert Gelernter\uff09\u5f00\u53d1\u4e86\u51e0\u4f55\u5b9a\u7406\u8bc1\u660e\u7a0b\u5e8f\u3002<\/span><\/section>\n
1959\u5e74\uff0cIBM\u79d1\u5b66\u5bb6\u4e9a\u745f\u00b7\u585e\u7f2a\u5c14\uff08Arthur Samuel\uff09\u5728\u81ea\u5bb6\u9996\u53f0\u5546\u7528\u8ba1\u7b97\u673aIBM701\u4e0a\uff0c\u6210\u529f\u7f16\u5199\u4e86\u4e00\u5957\u897f\u6d0b\u8df3\u68cb\u7a0b\u5e8f\u3002\u8fd9\u4e2a\u7a0b\u5e8f\u5177\u6709\u201c\u5b66\u4e60\u80fd\u529b\u201d\uff0c\u53ef\u4ee5\u901a\u8fc7\u5bf9\u5927\u91cf\u68cb\u5c40\u7684\u5206\u6790\uff0c\u9010\u6e10\u8fa8\u8bc6\u51fa\u201c\u597d\u68cb\u201d\u548c\u201c\u574f\u68cb\u201d\uff0c\u4ece\u800c\u63d0\u9ad8\u81ea\u5df1\u7684\u4e0b\u68cb\u6c34\u5e73\u3002\u56e0\u4e3a\u9996\u6b21\u63d0\u51fa\u4e86\u201c\u673a\u5668\u5b66\u4e60\uff08Machine Learning\uff09\u201d\u7684\u6982\u5ff5\uff0c\u4e9a\u745f\u00b7\u585e\u7f2a\u5c14\u88ab\u540e\u4eba\u8a89\u4e3a\u201c\u673a\u5668\u5b66\u4e60\u4e4b\u7236\u201d\u3002<\/span><\/section>\n
<\/section>\n
\u4e9a\u745f\u00b7\u585e\u7f2a\u5c14\uff081901-1990\uff09<\/span><\/section>\n


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1959\u5e74\uff0c\u7ea6\u7ff0\u00b7\u9ea6\u5361\u9521\u548c\u9a6c\u6587\u00b7\u660e\u65af\u57fa\u521b\u7acb\u4e86\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u4eba\u5de5\u667a\u80fd\u9879\u76ee\u3002<\/span><\/section>\n
1961\u5e74\uff0c\u83b1\u6602\u7eb3\u5fb7\u00b7\u83ab\u91cc\u514b\uff08Leonard Merrick Uhr\uff09\u548c\u67e5\u5c14\u65af\u00b7\u6c83\u65af\u52d2\uff08Charles M Vossler\uff09\u53d1\u8868\u4e86\u9898\u76ee\u4e3a\u300aA Pattern Recognition Program That Generates, Evaluates and Adjusts its Own Operators\uff08\u751f\u6210\u3001\u8bc4\u4f30\u548c\u8c03\u6574\u5176\u81ea\u8eab\u7b97\u5b50\u7684\u6a21\u5f0f\u8bc6\u522b\u7a0b\u5e8f\uff09\u300b\u7684\u6a21\u5f0f\u8bc6\u522b\u8bba\u6587\uff0c\u63cf\u8ff0\u4e86\u4e00\u79cd\u5229\u7528\u673a\u5668\u5b66\u4e60\u6216\u81ea\u7ec4\u7ec7\u8fc7\u7a0b\u8bbe\u8ba1\u7684\u6a21\u5f0f\u8bc6\u522b\u7a0b\u5e8f\u7684\u5c1d\u8bd5\u3002<\/span><\/section>\n
1963\u5e74\uff0c\u7ea6\u7ff0\u00b7\u9ea6\u5361\u9521\u5728\u65af\u5766\u798f\u5927\u5b66\u521b\u7acb\u4e86\u4eba\u5de5\u667a\u80fd\u5b9e\u9a8c\u5ba4\u3002<\/span><\/section>\n
1965\u5e74\uff0c\u82f1\u56fd\u6570\u5b66\u5bb6\u5384\u6587\u00b7\u53e4\u5fb7\uff08Irving John Good<\/span>\uff09\u53d1\u8868\u4e86\u4e00\u7bc7\u5bf9\u4eba\u5de5\u667a\u80fd\u672a\u6765\u53ef\u80fd\u5bf9\u4eba\u7c7b\u6784\u6210\u5a01\u80c1\u7684\u6587\u7ae0\uff0c\u53ef\u4ee5\u7b97\u201cAI\u5a01\u80c1\u8bba\u201d\u7684\u5148\u9a71\u3002<\/span><\/section>\n
1966\u5e74\uff0c\u7f8e\u56fd\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u7684\u7ea6\u745f\u592b\u00b7\u9b4f\u6cfd\u9c8d\u59c6\uff08Joseph Weizenbaum\uff09\uff0c\u53d1\u660e\u4e86\u4e16\u754c\u4e0a\u7b2c\u4e00\u4e2a\u804a\u5929\u673a\u5668\u4eba\u2014\u2014ELIZA\u3002ELIZA \u901a\u8fc7\u5173\u952e\u8bcd\u5339\u914d\u89c4\u5219\u5bf9\u8f93\u5165\u8fdb\u884c\u5206\u89e3\uff0c\u800c\u540e\u6839\u636e\u5206\u89e3\u89c4\u5219\u6240\u5bf9\u5e94\u7684\u91cd\u7ec4\u89c4\u5219\u6765\u751f\u6210\u56de\u590d\uff0c\u662f\u73b0\u5728Siri\u3001\u5c0f\u7231\u540c\u5b66\u7b49\u95ee\u7b54\u4ea4\u4e92\u5de5\u5177\u7684\u9f3b\u7956\u3002<\/span><\/section>\n
<\/section>\n
\u9b4f\u6cfd\u9c8d\u59c6\uff08\u5750\u8005\uff09\u6b63\u5728\u4e0eELIZA\u5bf9\u8bdd<\/span><\/section>\n


<\/span><\/p>\n

1966\u5e74\uff0c\u67e5\u7406\u00b7\u7f57\u68ee\uff08Charlie Rosen\uff09\u9886\u5bfc\u7684\u7f8e\u56fd\u65af\u5766\u798f\u7814\u7a76\u6240\uff08SRI\uff09\uff0c\u7814\u53d1\u6210\u529f\u4e86\u9996\u53f0\u4eba\u5de5\u667a\u80fd\u673a\u5668\u4eba\u2014\u2014Shakey\u3002\u5b83\u5177\u5907\u4e00\u5b9a\u7a0b\u5ea6\u7684\u4eba\u5de5\u667a\u80fd\uff0c\u80fd\u591f\u81ea\u4e3b\u8fdb\u884c\u611f\u77e5\u3001\u73af\u5883\u5efa\u6a21\u3001\u884c\u4e3a\u89c4\u5212\u5e76\u6267\u884c\u4efb\u52a1\u3002<\/span><\/span><\/section>\n
<\/section>\n
\u7814\u7a76\u4eba\u5458\u6b63\u5728\u8c03\u6d4bShakey<\/span><\/section>\n


<\/span><\/p>\n

1966\u5e74\uff0c\u7f8e\u56fd\u8ba1\u7b97\u673a\u534f\u4f1a\uff08ACM\uff09\u8bbe\u7acb\u56fe\u7075\u5956\uff08Turing Award\uff09\uff0c\u88ab\u79f0\u4e3a\u201c\u8ba1\u7b97\u673a\u754c\u7684\u8bfa\u8d1d\u5c14\u5956\u201d\u3002<\/span><\/section>\n
1967\u5e74\uff0c\u6258\u9a6c\u65af\u00b7\u5361\u6c83\uff08Thomas Cover\uff09\u57fa\u4e8e\u827e\u6c83\u6797\u00b7\u83f2\u514b\u65af\uff08Evelyn Fix\uff09\u548c\u7ea6\u745f\u592b\u00b7\u970d\u5fb7\u5409\u65af\uff08Joseph Hodges\uff09\u7684\u7814\u7a76\uff0c\u6269\u5c55\u63d0\u51fa\u4e86K\u6700\u8fd1\u90bb\u7b97\u6cd5\uff08k-nearest neighbors algorithm\uff09\u3002<\/span><\/section>\n
1968\u5e74\uff0c\u7f8e\u56fd\u79d1\u5b66\u5bb6\u7231\u5fb7\u534e\u00b7\u8d39\u6839\u9c8d\u59c6\uff08Edward Feigenbaum\uff09\u63d0\u51fa\u4e86\u7b2c\u4e00\u4e2a\u4e13\u5bb6\u7cfb\u7edf\u2014\u2014DENDRAL\uff0c\u5e76\u5bf9\u77e5\u8bc6\u5e93\u7ed9\u51fa\u4e86\u521d\u6b65\u7684\u5b9a\u4e49\u3002\u8fd9\u6807\u5fd7\u7740\u4e13\u5bb6\u7cfb\u7edf\u7684\u8bde\u751f\u3002DENDRAL\u9762\u5411\u7684\u662f\u5316\u5b66\u884c\u4e1a\uff0c\u53ef\u4ee5\u5e2e\u52a9\u5316\u5b66\u5bb6\u5224\u65ad\u7269\u8d28\u7684\u5206\u5b50\u7ed3\u6784\u3002<\/span><\/section>\n
<\/section>\n
\u7231\u5fb7\u534e\u00b7\u8d39\u6839\u9c8d\u59c6\uff08\u5750\u7740\u7684\u90a3\u4f4d\uff09<\/span><\/section>\n

<\/span><\/section>\n
1969\u5e74\uff0c\u9a6c\u6587\u00b7\u660e\u65af\u57fa\u548c\u897f\u8499\u00b7\u6d3e\u73c0\u7279\uff08Seymour Papert\uff09\u53d1\u8868\u8457\u4f5c\u300a\u611f\u77e5\u673a: \u8ba1\u7b97\u51e0\u4f55\u5b66\u5bfc\u8bba\u300b\u7684\u4e66\uff0c\u5bf9\u7f57\u68ee\u5e03\u83b1\u7279\u7684\u611f\u77e5\u5668\u63d0\u51fa\u4e86\u8d28\u7591\u3002\u8fd9\u5bfc\u81f4\u4e86\u795e\u7ecf\u7f51\u7edc\u7814\u7a76\u5341\u4f59\u5e74\u7684\u4e2d\u65ad\u3002<\/span><\/section>\n
<\/section>\n
\u9a6c\u6587\u00b7\u660e\u65af\u57fa<\/span><\/section>\n


<\/span><\/p>\n

1969\u5e74\uff0c\u9a6c\u6587\u00b7\u660e\u65af\u57fa\u4e3a\u5bfc\u6f14\u65af\u5766\u5229\u00b7\u5e93\u5e03\u91cc\u514b\uff08Stanley Kubrick\uff09\u7684\u7535\u5f71\u300a2001\u6f2b\u6e38\u592a\u7a7a\u300b\u62c5\u4efb\u987e\u95ee\uff0c\u5851\u9020\u4e86\u7247\u4e2d\u8d85\u7ea7\u667a\u80fd\u8ba1\u7b97\u673aHAL9000\u7684\u94f6\u5e55\u5f62\u8c61\u3002<\/span><\/section>\n
<\/section>\n

\u7535\u5f71\u6d77\u62a5<\/span><\/p>\n

1970\u5e74\uff0c\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u535a\u58eb\u7814\u7a76\u751f\u7279\u91cc\u00b7\u7ef4\u8bfa\u683c\u62c9\u5fb7\uff08Terry Winograd\uff09\u5f00\u53d1\u4e86\u65e9\u671f\u81ea\u7136\u8bed\u8a00\u7406\u89e3\u7a0b\u5e8fSHRDLU\u3002\u8be5\u7a0b\u5e8f\u53ef\u4ee5\u90e8\u5206\u7406\u89e3\u8bed\u8a00\uff0c\u662f”\u5fae\u578b\u4e16\u754c”\u9879\u76ee\u7684\u4e00\u90e8\u5206\u3002<\/span><\/section>\n
1972\u5e74\uff0c\u67ef\u5c14\u9ea6\u4f26\u7eb3\uff08Colmeraner\uff09\u53ca\u5176\u7814\u7a76\u5c0f\u7ec4\u5728\u6cd5\u56fd\u9a6c\u8d5b\u5927\u5b66\u63d0\u51fa\u903b\u8f91\u7f16\u7a0b\u8bed\u8a00PROLOG\u3002<\/span><\/section>\n
1972\u5e74\uff0c\u7f8e\u56fd\u533b\u751f\u517c\u79d1\u5b66\u5bb6\u7231\u5fb7\u534e\u00b7H\u00b7\u8096\u7279\u5229\u592b\uff08Edward H. Shortliffe\uff09\u521b\u5efa\u4e86\u53ef\u4ee5\u5e2e\u52a9\u8fdb\u884c\u533b\u5b66\u8bca\u65ad\u7684\u4e13\u5bb6\u7cfb\u7edf\u2014\u2014MYCIN\u3002<\/span><\/section>\n
<\/section>\n
\u7231\u5fb7\u534e\u00b7H\u00b7\u8096\u7279\u5229\u592b<\/span><\/section>\n

<\/span><\/section>\n
1973\u5e74\uff0c\u653f\u5e9c\u90e8\u95e8\u5bf9AI\u7684\u8d44\u52a9\u5f00\u59cb\u5927\u5e45\u6ed1\u5761\uff0cAI\u7814\u7a76\u8fdb\u5165\u4e86\u201cAI\u5bd2\u51ac\uff08AI Winter\uff09\u201d\u3002<\/span><\/section>\n
1973\u5e74\uff0c\u6570\u5b66\u5bb6\u83b1\u7279\u5e0c\u5c14\uff08Lighthill\uff09\u5411\u82f1\u56fd\u653f\u5e9c\u63d0\u4ea4\u4e86\u4e00\u4efd\u5173\u4e8e\u4eba\u5de5\u667a\u80fd\u7684\u7814\u7a76\u62a5\u544a\uff08\u8457\u540d\u7684\u300a\u83b1\u7279\u5e0c\u5c14\u62a5\u544a\u300b\uff09\uff0c\u5bf9\u5f53\u65f6\u7684AI\u7814\u7a76\u8fdb\u884c\u4e86\u4e25\u5389\u4e14\u731b\u70c8\u7684\u6279\u8bc4\uff0c\u8ba4\u4e3a\u5176\u5b8f\u4f1f\u7684\u76ee\u6807\u6839\u672c\u65e0\u6cd5\u5b9e\u73b0\uff0c\u7814\u7a76\u5df2\u7ecf\u5f7b\u5e95\u5931\u8d25\u3002<\/span><\/section>\n
1975\u5e74\uff0c\u9a6c\u6587\u00b7\u660e\u65af\u57fa\u5728\u8bba\u6587\u300aA Framework for Representing Knowledge\uff08\u77e5\u8bc6\u8868\u793a\u7684\u6846\u67b6\uff09\u300b\u4e2d\uff0c\u63d0\u51fa\u7528\u4e8e\u4eba\u5de5\u667a\u80fd\u4e2d\u7684\u77e5\u8bc6\u8868\u793a\u5b66\u4e60\u6846\u67b6\u7406\u8bba\u3002<\/span><\/section>\n
1977\u5e74\uff0c\u7231\u5fb7\u534e\u00b7\u8d39\u6839\u9c8d\u59c6\u5728\u7b2c\u4e94\u5c4a\u56fd\u9645\u4eba\u5de5\u667a\u80fd\u8054\u5408\u4f1a\u8bae\u4e0a\uff0c\u63d0\u51fa\u4e86\u201c\u77e5\u8bc6\u5de5\u7a0b\uff08Knowledge Engineering\uff09\u201d\u7684\u6982\u5ff5\uff0c\u8fdb\u4e00\u6b65\u63a8\u52a8\u4e86\u4e13\u5bb6\u7cfb\u7edf\u7684\u666e\u53ca\u3002<\/span><\/section>\n
1977\u5e74\uff0c\u4e2d\u56fd\u8457\u540d\u6570\u5b66\u5bb6\u5434\u6587\u4fca\u9662\u58eb\u5728\u300a\u4e2d\u56fd\u79d1\u5b66\u300b\u671f\u520a\u53d1\u8868\u4e86\u5177\u6709\u5212\u65f6\u4ee3\u610f\u4e49\u7684\u79d1\u5b66\u8bba\u6587\u2014\u2014\u300a\u521d\u7b49\u51e0\u4f55\u5224\u5b9a\u95ee\u9898\u4e0e\u673a\u68b0\u5316\u8bc1\u660e\u300b\uff0c\u5728\u56fd\u9645\u4e0a\u5f15\u8d77\u4e86\u5de8\u5927\u8f70\u52a8\u3002\u5434\u6587\u4fca\u9662\u58eb\u6240\u72ec\u521b\u7684\u65b0\u65b9\u6cd5\u5728\u56fd\u9645\u4e0a\u88ab\u8a89\u4e3a\u201c\u5434\u65b9\u6cd5\u201d\u3002\u5b83\u80fd\u591f\u4f7f\u4eba\u5de5\u667a\u80fd\u81ea\u52a8\u5e76\u6709\u6548\u5730\u8bc1\u660e\u51e0\u4f55\u5b9a\u7406\uff0c\u4e5f\u88ab\u5e94\u7528\u5230\u5176\u4ed6\u6570\u5b66\u9886\u57df\u3002<\/span><\/section>\n
<\/section>\n

\u5434\u6587\u4fca\u9662\u58eb<\/span><\/p>\n

1979\u5e74\uff0c\u7f8e\u56fd\u56fd\u5bb6\u6807\u51c6\u6280\u672f\u7814\u7a76\u6240\u5f00\u59cb\u5236\u5b9a\u57fa\u4e8e\u77e5\u8bc6\u7684\u63a8\u7406\u7cfb\u7edf\u89c4\u8303\u8bed\u8a00\uff08\u77e5\u8bc6\u8868\u793a\u8bed\u8a00KRL\uff09\u3002<\/span><\/section>\n
1979\u5e74\uff0c\u65e5\u672c\u5b66\u8005\u798f\u5c9b\u90a6\u5f66\u535a\u58eb\u6a21\u4eff\u751f\u7269\u7684\u89c6\u89c9\u76ae\u5c42\uff08visual cortex\uff09\uff0c\u5f00\u53d1\u4e86\u4e00\u79cd\u7528\u4e8e\u6a21\u5f0f\u8bc6\u522b\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578bNeocognitron\uff08\u795e\u7ecf\u8ba4\u77e5\u673a\uff09\u3002Neocognitron\u662f\u7b2c\u4e00\u4e2a\u4f7f\u7528\u5377\u79ef\u548c\u4e0b\u91c7\u6837\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u4e5f\u662f\u73b0\u4ee3\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u96cf\u5f62\u3002<\/span><\/section>\n
<\/section>\n

\u798f\u5c9b\u90a6\u5f66<\/span><\/p>\n

1979\u5e74\uff0c\u65af\u5766\u798f\u5927\u5b66\u7684\u6c49\u65af\u00b7\u83ab\u62c9\u97e6\u514b\uff08Hans Moravec\uff09\u8bbe\u8ba1\u4e86\u65af\u5766\u798f\u5361\u8f66\uff08Stanford Cart\uff09\u3002\u8fd9\u662f\u4e00\u53f0\u53ef\u4ee5\u81ea\u4e3b\u5bfc\u822a\u548c\u907f\u969c\u7684\u673a\u5668\u4eba\u3002\u8fd9\u662f\u673a\u5668\u4eba\u9886\u57df\u7684\u4e00\u4e2a\u91cd\u8981\u91cc\u7a0b\u7891\u3002<\/span><\/section>\n

<\/p>\n

1980\u5e74\uff0c\u5728\u7f8e\u56fd\u7684\u5361\u5185\u57fa\u6885\u9686\u5927\u5b66\uff08CMU\uff09\u53ec\u5f00\u4e86\u7b2c\u4e00\u5c4a\u673a\u5668\u5b66\u4e60\u56fd\u9645\u7814\u8ba8\u4f1a\uff0c\u6807\u5fd7\u7740\u673a\u5668\u5b66\u4e60\u7814\u7a76\u7684\u5174\u8d77\u3002<\/span><\/section>\n
1980\u5e74\uff0c\u5361\u8010\u57fa\u6885\u9686\u5927\u5b66\u7814\u53d1\u7684\u4e13\u5bb6\u7cfb\u7edfXCON\uff08eXpertCONfigurer\uff09\u6b63\u5f0f\u5546\u7528\uff0c\u4e3a\u5f53\u65f6\u7684\u8ba1\u7b97\u673a\u5de8\u5934\u516c\u53f8DEC\u6bcf\u5e74\u7701\u4e0b\u6570\u5343\u4e07\u7f8e\u91d1\u3002<\/span><\/section>\n
1981\u5e74\uff0c\u7406\u67e5\u5fb7\u00b7\u4fdd\u7f57\uff08Richard.P.Paul\uff09\u51fa\u7248\u4e86\u7b2c\u4e00\u672c\u673a\u5668\u4eba\u5b66\u8bfe\u672c\u300aRobot Manipulator\uff1aMathematics\uff0cProgrammings and Control\uff08\u673a\u5668\u4eba\u673a\u68b0\u624b\uff1a\u6570\u5b66\u3001\u7f16\u7a0b\u4e0e\u63a7\u5236\uff09\u300b\u3002<\/span><\/section>\n
1981\u5e74\uff0c\u65e5\u672c\u901a\u5546\u4ea7\u4e1a\u7701\uff08MITI\uff09\u62e8\u6b3e8.5\u4ebf\u7f8e\u5143\uff0c\u7528\u4ee5\u7814\u53d1\u7b2c\u4e94\u4ee3\u8ba1\u7b97\u673a\u9879\u76ee\uff08FGCS\uff09\u3002FGCS\u7684\u76ee\u6807\u662f\u9020\u51fa\u4e00\u53f0\u4eba\u5de5\u667a\u80fd\u8ba1\u7b97\u673a\uff0c\u80fd\u591f\u4e0e\u4eba\u5bf9\u8bdd\u3001\u7ffb\u8bd1\u8bed\u8a00\u3001\u89e3\u91ca\u56fe\u50cf\u3001\u5b8c\u6210\u63a8\u7406\u3002\u4e0d\u4e45\u540e\uff0c\u82f1\u56fd\u3001\u7f8e\u56fd\u7eb7\u7eb7\u54cd\u5e94\uff0c\u5f00\u59cb\u5411\u4fe1\u606f\u6280\u672f\u9886\u57df\u7684\u7814\u7a76\u63d0\u4f9b\u5927\u91cf\u8d44\u91d1\u3002<\/span><\/section>\n
1981\u5e74\uff0c\u201c\u7a84AI\uff08Narrow AI\uff09\u201d\u7684\u6982\u5ff5\u8bde\u751f\u3002\u76f8\u5173\u7814\u7a76\u4e0d\u518d\u5bfb\u6c42\u901a\u7528\u667a\u80fd\uff0c\u800c\u8f6c\u5411\u4e86\u9762\u5411\u66f4\u5c0f\u8303\u56f4\u7684\u4e13\u4e1a\u4efb\u52a1\u9886\u57df\u3002<\/span><\/section>\n
1982\u5e74\uff0c\u7ea6\u7ff0\u00b7\u970d\u666e\u83f2\u5c14\u5fb7\uff08John Hopfield\uff09\u5728\u81ea\u5df1\u7684\u8bba\u6587\u4e2d\u91cd\u70b9\u4ecb\u7ecd\u4e86Hopfield\u7f51\u7edc\u6a21\u578b\uff08\u6a21\u578b\u539f\u578b\u65e9\u671f\u7531\u5176\u4ed6\u79d1\u5b66\u5bb6\u63d0\u51fa\uff09\u3002\u8fd9\u662f\u4e00\u79cd\u5177\u6709\u8bb0\u5fc6\u548c\u4f18\u5316\u529f\u80fd\u7684\u5faa\u73af\uff08\u9012\u5f52\uff09\u795e\u7ecf\u7f51\u7edc\u3002<\/span><\/section>\n
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\u7ea6\u7ff0\u00b7\u970d\u666e\u83f2\u5c14\u5fb7<\/span><\/p>\n

1982\u5e74\uff0c\u6234\u7ef4\u00b7\u9a6c\u5c14\uff08David Marr\uff09\u53d1\u8868\u4ee3\u8868\u4f5c\u300a\u89c6\u89c9\u8ba1\u7b97\u7406\u8bba\u300b\uff0c\u63d0\u51fa\u8ba1\u7b97\u673a\u89c6\u89c9\uff08Computer Vision\uff09\u7684\u6982\u5ff5\uff0c\u5e76\u6784\u5efa\u7cfb\u7edf\u7684\u89c6\u89c9\u7406\u8bba\uff0c\u5bf9\u8ba4\u77e5\u79d1\u5b66\uff08CognitiveScience\uff09\u4ea7\u751f\u4e86\u5f88\u6df1\u8fdc\u7684\u5f71\u54cd\u3002<\/span><\/section>\n
1983\u5e74\uff0c\u901a\u7528\u7535\u6c14\u516c\u53f8\u641e\u51fa\u4e86\u67f4\u6cb9\u7535\u529b\u673a\u8f66\u7ef4\u4fee\u4e13\u5bb6\u7cfb\u7edf\uff08DELTA\uff09\u3002\u8fd9\u4e2a\u7cfb\u7edf\u5c01\u88c5\u4e86\u4f17\u591aGE\u8d44\u6df1\u73b0\u573a\u670d\u52a1\u5de5\u7a0b\u5e08\u7684\u77e5\u8bc6\u548c\u7ecf\u9a8c\uff0c\u80fd\u591f\u6307\u5bfc\u5458\u5de5\u8fdb\u884c\u6545\u969c\u68c0\u4fee\u548c\u7ef4\u62a4\u3002<\/span><\/section>\n
1983\u5e74\uff0c\u7279\u4f26\u65af\u00b7\u8c22\u8bfa\u592b\u65af\u57fa\uff08Terrence Sejnowski\uff09\u548c\u6770\u5f17\u91cc\u00b7\u8f9b\u987f\uff08Geoffrey Hinton\uff09\u63d0\u51fa\u4e86\u201c\u9690\u5355\u5143\u201d\u7684\u6982\u5ff5\u30021986\u5e74\uff0c\u4ed6\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u751f\u6210\u5f0f\u968f\u673a\u795e\u7ecf\u7f51\u7edc\uff08generative stochastic neural network\uff09\u2014\u2014Boltzmann Machine\uff08\u73bb\u5c14\u5179\u66fc\u673a\uff09\u3002<\/span><\/section>\n
1983\u5e74\uff0c\u7f8e\u56fd\u56fd\u9632\u90e8\u9ad8\u7ea7\u7814\u7a76\u8ba1\u5212\u5c40\uff08DARPA\uff09\u901a\u8fc7\u201c\u6218\u7565\u8ba1\u7b97\u4fc3\u8fdb\u4f1a\uff08Strategic Computing Initiative\uff09\u201d\uff0c\u91cd\u542f\u5bf9\u9ad8\u7ea7\u8ba1\u7b97\u548c\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u7684\u8d44\u52a9\u3002<\/span><\/section>\n
1984\u5e74\uff0c\u7f8e\u56fd\u6570\u5341\u5bb6\u5927\u516c\u53f8\u8054\u5408\u6210\u7acb\u4e86\u5fae\u7535\u5b50\u4e0e\u8ba1\u7b97\u673a\u6280\u672f\u516c\u53f8\uff08MCC\uff09\u3002\u8be5\u516c\u53f8\u53d1\u8d77\u4e86\u4eba\u5de5\u667a\u80fd\u5386\u53f2\u4e0a\u6700\u5927\u4e5f\u662f\u6700\u5177\u4e89\u8bae\u6027\u7684\u9879\u76eeCyc\uff08\u5927\u767e\u79d1\u5168\u4e66\uff09\u3002<\/span><\/section>\n
1986\u5e74\uff0c\u6234\u7ef4\u00b7\u9c81\u6885\u5c14\u54c8\u7279\uff08David Rumelhart\uff09\u3001\u6770\u5f17\u91cc\u00b7\u8f9b\u987f\uff08Geoffrey Hinton\uff09\u548c\u7f57\u7eb3\u5fb7\u00b7\u5a01\u5ec9\u59c6\u65af\uff08Ronald Williams\uff09\u7b49\u4eba\u5171\u540c\u53d1\u8868\u4e86\u4e00\u7bc7\u540d\u4e3a\u300aLearning representations by back-propagation errors\uff08\u901a\u8fc7\u53cd\u5411\u4f20\u64ad\u7b97\u6cd5\u7684\u5b66\u4e60\u8868\u5f81\uff09\u300b\u7684\u8bba\u6587\u3002\u5728\u8bba\u6587\u4e2d\uff0c\u4ed6\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u9002\u7528\u4e8e\u591a\u5c42\u611f\u77e5\u5668\uff08MLP\uff09\u7684\u7b97\u6cd5\uff0c\u53eb\u505a\u53cd\u5411\u4f20\u64ad\u7b97\u6cd5\uff08Backpropagation\uff0c\u7b80\u79f0BP\u7b97\u6cd5\uff09\u3002BP\u7b97\u6cd5\u4e0d\u4ec5\u4e3a\u591a\u5c42\u795e\u7ecf\u7f51\u7edc\u7684\u53d1\u5c55\u5960\u5b9a\u4e86\u57fa\u7840\uff0c\u4e5f\u6253\u7834\u4e86\u9a6c\u6587\u00b7\u660e\u65af\u57fa\u5f53\u5e74\u63d0\u51fa\u7684\u201c\u795e\u7ecf\u7f51\u7edc\u5177\u6709\u5c40\u9650\u6027\u201d\u9b54\u5492\uff0c\u610f\u4e49\u975e\u5e38\u91cd\u5927\u3002<\/span><\/section>\n
1986\u5e74\uff0c\u6fb3\u5927\u5229\u4e9a\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6\u7f57\u65af\u00b7\u6606\u5170\uff08Ross Quinlan\uff09\u63d0\u51faID3\u51b3\u7b56\u6811\u7b97\u6cd5\u3002<\/span><\/section>\n
1987\u5e74\uff0cLISP\u673a\u5668\u5e02\u573a\u5728\u5d29\u6e83\uff0cAI\u9886\u57df\u8fdb\u5165\u4e86\u201c\u7b2c\u4e8c\u4e2aAI\u51ac\u5929\u201d\u3002<\/span><\/section>\n
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LISP\u7cfb\u5217\u4e3b\u673a<\/span><\/section>\n

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1988\u5e74\uff1a\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6\u548c\u54f2\u5b66\u5bb6\u72b9\u5927\u00b7\u4f2f\u5c14\uff08Judea Pearl\uff09\u51fa\u7248\u4e86\u8457\u4f5c\u300aProbabilistic Reasoning in Intelligent Systems\uff08\u667a\u80fd\u7cfb\u7edf\u4e2d\u7684\u6982\u7387\u63a8\u7406\uff09\u300b\u3002\u4f2f\u5c14\u8fd8\u53d1\u660e\u4e86\u8d1d\u53f6\u65af\u7f51\u7edc\u3002<\/span><\/section>\n
1988\u5e74\uff0c\u8d1d\u5c14\u5b9e\u9a8c\u5ba4\u7684\u6cd5\u56fd\u79d1\u5b66\u5bb6\u6768\u7acb\u6606\uff08Yann LeCun\uff09\u7b49\u4eba\uff0c\u63d0\u51fa\u4e86\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u3002\u8fd9\u662f\u4e00\u79cd\u4e13\u95e8\u7528\u4e8e\u5904\u7406\u56fe\u50cf\u6570\u636e\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u3002<\/span><\/section>\n
<\/section>\n

Yann LeCun<\/span><\/p>\n


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1990\u5e74\uff0c\u6fb3\u5927\u5229\u4e9a\u79d1\u5b66\u5bb6\u7f57\u5fb7\u5c3c\u00b7\u5e03\u9c81\u514b\u65af\uff08Rodney Brooks\uff09\u63d0\u51fa\u4e86\u201c\u7531\u4e0b\u81ea\u4e0a\u201d\u7684\u7814\u7a76\u601d\u8def\uff0c\u5f00\u53d1\u80fd\u591f\u6a21\u62df\u4eba\u8111\u7ec6\u80de\u8fd0\u4f5c\u65b9\u5f0f\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u5e76\u5b66\u4e60\u65b0\u7684\u884c\u4e3a\u3002<\/span><\/section>\n
1990\u5e74\uff0c\u7f8e\u56fd\u8ba4\u77e5\u79d1\u5b66\u5bb6\u3001\u5fc3\u7406\u8bed\u8a00\u5b66\u5bb6\u6770\u5f17\u91cc\u00b7\u827e\u5c14\u66fc\uff08Jeffrey Elman\uff09\u63d0\u51fa\u4e86\u9996\u4e2a\u9012\u5f52\u795e\u7ecf\u7f51\u7edc\u2014\u2014\u827e\u5c14\u66fc\u7f51\u7edc\u6a21\u578b\u3002\u9012\u5f52\u795e\u7ecf\u7f51\u7edc\u80fd\u591f\u5728\u8bad\u7ec3\u65f6\u7ef4\u6301\u6570\u636e\u672c\u8eab\u7684\u5148\u540e\u987a\u5e8f\u6027\u8d28\uff0c\u975e\u5e38\u9002\u5408\u4e8e\u81ea\u7136\u8bed\u8a00\u5904\u7406\u9886\u57df\u7684\u5e94\u7528\u3002<\/span><\/section>\n
1992\u5e74\uff0c\u56e0\u4e3a\u672a\u80fd\u5b9e\u73b0\u5341\u5e74\u524d\u63d0\u51fa\u7684\u76ee\u6807\uff0c\u65e5\u672c\u7ec8\u6b62\u4e86FGCS\u9879\u76ee\u3002<\/span><\/section>\n
1993\u5e74\uff0c\u5728\u82b1\u8d39\u8fd110\u4ebf\u7f8e\u5143\u4e14\u8fdc\u672a\u8fbe\u5230\u9884\u671f\u7684\u60c5\u51b5\u4e0b\uff0cDARPA\u7ed3\u675f\u4e86\u6218\u7565\u8ba1\u7b97\u8ba1\u5212\u3002<\/span><\/section>\n
1995\u5e74\uff0c\u514b\u91cc\u5a1c\u00b7\u67ef\u5c14\u7279\u65af\uff08Corinna Cortes\uff09\u548c\u5f17\u62c9\u57fa\u7c73\u5c14\u00b7\u4e07\u666e\u5c3c\u514b\uff08Vladimir Vapnik\uff09\u5f00\u53d1\u4e86\u652f\u6301\u5411\u91cf\u673a\uff08Support Vector Machine\uff0cSVM\uff09\u3002\u652f\u6301\u5411\u91cf\u673a\u662f\u4e00\u79cd\u6620\u5c04\u548c\u8bc6\u522b\u7c7b\u4f3c\u6570\u636e\u7684\u7cfb\u7edf\uff0c\u53ef\u4ee5\u89c6\u4e3a\u5728\u611f\u77e5\u673a\u57fa\u7840\u4e0a\u7684\u6539\u8fdb\u3002<\/span><\/section>\n
1995\u5e74\uff0c\u7ea6\u963f\u592b\u00b7\u4f5b\u7f57\u56e0\u5fb7\uff08Yoav Freund\uff09\u548c\u7f57\u4f2f\u7279\u00b7\u6c99\u76ae\u5c14\uff08Robert Schapire\uff09\u63d0\u51fa\u4e86AdaBoost \uff08Adaptive Boosting\uff09\u7b97\u6cd5\u3002<\/span><\/section>\n
1997\u5e745\u6708\uff0cIBM\u7684\u8ba1\u7b97\u673a\u201c\u6df1\u84dd\uff08DEEP BLUE\uff09\u201d\u4ee52\u80dc1\u8d1f3\u5e73\u7684\u6210\u7ee9\u51fb\u8d25\u56fd\u9645\u8c61\u68cb\u4e16\u754c\u51a0\u519b\u52a0\u91cc\u00b7\u5361\u65af\u5e15\u7f57\u592b\uff0c\u9707\u60ca\u4e86\u5168\u4e16\u754c\u3002<\/span><\/section>\n

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1997\u5e74\uff0c\u5fb7\u56fd\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6\u745f\u666e\u00b7\u970d\u514b\u8d56\u7279\uff08Sepp Hochreiter\uff09\u53ca\u5176\u5bfc\u5e08\u4e8e\u5c14\u6839\u00b7\u65bd\u5bc6\u5fb7\u80e1\u4f2f\uff08J\u00fcrgen Schmidhuber\uff09\u5f00\u53d1\u4e86\u7528\u4e8e\u9012\u5f52\u795e\u7ecf\u7f51\u7edc\u7684LSTM\uff08\u957f\u77ed\u671f\u8bb0\u5fc6\u7f51\u7edc\uff09\u3002<\/span><\/section>\n
1998\u5e74\uff0cYann LeCun\u7b49\u4eba\u63d0\u51fa\u4e86\u4e00\u4e2a\u7528\u4e8e\u624b\u5199\u6570\u5b57\u8bc6\u522b\u7684\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u2014\u2014LeNet\uff0c\u521d\u6b65\u5c55\u793a\u4e86\u795e\u7ecf\u7f51\u7edc\u5728\u56fe\u50cf\u8bc6\u522b\u9886\u57df\u7684\u6f5c\u529b\u3002<\/span><\/section>\n
2000\u5e74\uff1a\u672c\u7530\u53d1\u5e03\u4e86ASIMO\uff0c\u4e00\u79cd\u4eba\u5de5\u667a\u80fd\u7684\u4eba\u5f62\u673a\u5668\u4eba\u3002<\/span><\/section>\n

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2001\u5e74\uff0c\u5e03\u96f7\u66fc\uff08Leo Breiman\uff09\u548c\u963f\u9edb\u5c14\u00b7\u5361\u7279\u52d2\uff08Adele Cutler\uff09\u63d0\u51fa\u968f\u673a\u68ee\u6797\uff08Random Forest\uff09\u3002<\/span><\/section>\n
2003\u5e74\uff0c\u7ea6\u4e66\u4e9a\u00b7\u73ed\u5409\u6b27\uff08Yoshua Bengio\uff09\u53d1\u8868\u4e00\u7bc7\u57fa\u4e8e\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u6253\u9020\u81ea\u7136\u8bed\u8a00\u6a21\u578b\u7684\u8bba\u6587\u300aA Neural Probabilistic Language Model\uff08\u4e00\u79cd\u795e\u7ecf\u6982\u7387\u8bed\u8a00\u6a21\u578b\uff09\u300b\uff0c\u63d0\u51fa\u4e86\u5177\u6709\u5960\u57fa\u610f\u4e49\u7684NNLM\u201c\u795e\u7ecf\u7f51\u7edc\u8bed\u8a00\u6a21\u578b\u201d\u3002\u4ed6\u8fd8\u63d0\u51fa\u4e86”\u8bcd\u5411\u91cf”\u7684\u6982\u5ff5\u3002<\/span><\/section>\n
2006\u5e74\uff0c\u591a\u4f26\u591a\u5927\u5b66\u7684\u6770\u5f17\u91cc\u00b7\u8f9b\u987f\u5728Science\u671f\u520a\u4e0a\uff0c\u53d1\u8868\u4e86\u91cd\u8981\u7684\u8bba\u6587\u300aReducing the dimensionality of data with neural networks\uff08\u7528\u795e\u7ecf\u7f51\u7edc\u964d\u4f4e\u6570\u636e\u7ef4\u6570\uff09\u300b\uff0c\u63d0\u51fa\u6df1\u5ea6\u4fe1\u5ff5\u7f51\u7edc\uff08Deep Belief Networks\uff0cDBNs\uff09\u3002<\/span><\/section>\n
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\u6770\u5f17\u91cc\u00b7\u8f9b\u987f<\/span><\/section>\n

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2006\u5e74\uff0c\u5728\u65af\u5766\u798f\u4efb\u6559\u7684\u534e\u88d4\u79d1\u5b66\u5bb6\u674e\u98de\u98de\u53d1\u8d77\u521b\u5efa\u4e86ImageNet\u9879\u76ee\uff0c\u53f7\u53ec\u6c11\u4f17\u4e0a\u4f20\u56fe\u50cf\u5e76\u6807\u6ce8\u56fe\u50cf\u5185\u5bb9\u30022009\u5e74\uff0cImageNet\u6b63\u5f0f\u53d1\u5e03\uff0c\u5305\u62ec\u4e861400\u4e07\u5f20\u56fe\u7247\u6570\u636e\uff0c\u8d85\u8fc72\u4e07\u4e2a\u7c7b\u522b\uff0c\u4e3a\u5168\u7403AI\u7814\u7a76\uff08\u795e\u7ecf\u7f51\u7edc\u8bad\u7ec3\uff09\u63d0\u4f9b\u4e86\u5f3a\u5927\u652f\u6301\u3002<\/span><\/section>\n
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\u674e\u98de\u98de\u548cImageNet<\/span><\/span><\/section>\n

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2006\u5e74\uff0c\u8c37\u6b4c\u516c\u53f8\u63a8\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u7edf\u8ba1\u5b66\u4e60\u7684\u8bed\u97f3\u8bc6\u522b\u6280\u672f\uff0c\u8be5\u6280\u672f\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u8bed\u97f3\u52a9\u624b\u3001\u667a\u80fd\u5bb6\u5c45\u7b49\u9886\u57df\u3002<\/span><\/section>\n
2008\u5e74\uff0c\u8c37\u6b4c\u5728iPhone\u4e0a\u53d1\u5e03\u4e86\u4e00\u6b3e\u8bed\u97f3\u8bc6\u522b\u5e94\u7528\uff0c\u5f00\u542f\u4e86\u6570\u5b57\u5316\u8bed\u97f3\u52a9\u624b\uff08Siri\u3001Alexa\u3001Cortana\uff09\u7684\u6d6a\u6f6e\u3002<\/span><\/section>\n
2011\u5e7410\u6708\uff0c\u82f9\u679c\u63a8\u51fa\u8bed\u97f3\u52a9\u624bSiri\u3002<\/span><\/section>\n

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2011\u5e74\uff0cIBM\u7684\u8ba1\u7b97\u673a\u6c83\u68ee\uff08Watson\uff09\u5728\u7f8e\u56fd\u7535\u89c6\u667a\u529b\u7ade\u8d5b\u8282\u76ee\u201c\u5371\u9669\u8fb9\u7f18\u201d\u4e2d\uff0c\u51fb\u8d25\u4e24\u4f4d\u4eba\u7c7b\u51a0\u519b\u9009\u624b\uff0c\u5c55\u793a\u51fa\u5176\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u548c\u77e5\u8bc6\u63a8\u7406\u65b9\u9762\u7684\u5f3a\u5927\u80fd\u529b\u3002<\/span><\/section>\n

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2012\u5e74\uff0c\u6770\u5f17\u91cc\u00b7\u8f9b\u987f\u548c\u4ed6\u7684\u5b66\u751f\u4f0a\u5229\u4e9a\u00b7\u82cf\u8328\u514b\u6c83\uff08Ilya Sutskever\uff09\u548c\u4e9a\u5386\u514b\u65af\u00b7\u514b\u91cc\u5207\u592b\u65af\u57fa\uff08Alex Krizhevsky\uff09\u53c2\u52a0\u4e86ImageNet\u5927\u89c4\u6a21\u89c6\u89c9\u8bc6\u522b\u6311\u6218\u8d5b\u3002<\/span>\u4ed6\u4eec\u8bbe\u8ba1\u7684\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u6a21\u578bAlexNet\u5728\u8fd9\u6b21\u7ade\u8d5b\u4e2d\u4ee5\u538b\u5012\u6027\u4f18\u52bf\u83b7\u5f97\u7b2c\u4e00\u540d\uff0c\u5f15\u8d77\u4e86\u4e1a\u754c\u8f70\u52a8\u3002<\/span><\/section>\n
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\u6770\u5f17\u91cc\u00b7\u8f9b\u987f<\/span>\u5e08\u5f92\u4e09\u4eba<\/span><\/section>\n

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2012\u5e74\uff0c\u52a0\u62ff\u5927\u795e\u7ecf\u5b66\u5bb6\u56e2\u961f\u521b\u9020\u4e86\u4e00\u4e2a\u5177\u5907\u7b80\u5355\u8ba4\u77e5\u80fd\u529b\u3001\u6709250\u4e07\u4e2a\u6a21\u62df\u201c\u795e\u7ecf\u5143\u201d\u7684\u865a\u62df\u5927\u8111Spaun\uff0c\u901a\u8fc7\u4e86\u6700\u57fa\u672c\u7684\u667a\u5546\u6d4b\u8bd5\u3002<\/span><\/section>\n
2012\u5e74\uff0c\u8c37\u6b4c\u201cGoogle Brain\u201d\u9879\u76ee\u7684\u7814\u7a76\u4eba\u5458\u5434\u6069\u8fbe\uff08Andrew Ng\uff09\u3001\u6770\u592b\u00b7\u8fea\u6069\uff08Jeff Dean\uff09\u7b49\u4eba\uff0c\u642d\u5efa\u4e86\u4e00\u4e2a\u795e\u7ecf\u7f51\u7edc\uff0810\u4ebf\u53c2\u6570\uff09\uff0c\u7528\u6765\u8bad\u7ec3\u5bf9\u732b\u7684\u8bc6\u522b\u3002\u4ed6\u4eec\u7684\u8bad\u7ec3\u6570\u636e\u662f\u6765\u81eayoutube\u76841000\u4e07\u4e2a\u732b\u8138\u56fe\u7247\uff0c\u7528\u4e861.6\u4e07\u4e2aCPU\uff0c\u6574\u6574\u8bad\u7ec3\u4e863\u5929\u3002<\/span><\/section>\n
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2012\u5e747\u6708\uff0c\u8c37\u6b4c\u516c\u53f8\u63a8\u51fa\u865a\u62df\u52a9\u624bGoogleNow\uff0c\u5373\u8c37\u6b4c\u52a9\u624b\u7684\u524d\u8eab\u3002<\/span><\/section>\n
2012\u5e74\uff0c\u8c37\u6b4c\u516c\u53f8\u6b63\u5f0f\u53d1\u5e03\u8c37\u6b4c\u77e5\u8bc6\u56fe\u8c31Google Knowledge Graph\u3002<\/span><\/section>\n
2013\u5e74\uff0c\u8f9b\u987f\u5e08\u5f92\u4e09\u4eba\u5171\u540c\u6210\u7acb\u4e86\u4e00\u5bb6\u540d\u4e3aDNNresearch\u7684\u516c\u53f8\u3002\u540e\u6765\uff0c\u8fd9\u5bb6\u516c\u53f8\u88ab\u8c37\u6b4c\u4ee5\u51e0\u5343\u4e07\u7f8e\u5143\u7684\u4ef7\u683c\u7ade\u8d2d\u3002<\/span><\/section>\n
2013\u5e74\uff0c\u8c37\u6b4c\u516c\u53f8\u7684\u6258\u9a6c\u65af\u00b7\u7c73\u79d1\u6d1b\u592b\uff08Tomas Mikolov\uff09\u5e26\u9886\u7814\u7a76\u56e2\u961f\u53d1\u8868\u4e86\u8bba\u6587\u300aEfficient Estimation of Word Representations inVector Space\uff08\u8bcd\u8868\u793a\u5411\u91cf\u7a7a\u95f4\u7684\u6709\u6548\u4f30\u8ba1\uff09\u300b\uff0c\u63d0\u51fa\u4e86Word2Vec\u3002Word2Vec\u57fa\u4e8e\u7ed9\u5b9a\u7684\u8bed\u6599\u5e93\uff0c\u901a\u8fc7\u4f18\u5316\u540e\u7684\u8bad\u7ec3\u6a21\u578b\uff0c\u53ef\u4ee5\u5feb\u901f\u6709\u6548\u5730\u5c06\u4e00\u4e2a\u8bcd\u8bed\u8868\u8fbe\u6210\u9ad8\u7ef4\u7a7a\u95f4\u91cc\u7684\u8bcd\u5411\u91cf\u5f62\u5f0f\uff0c\u4e3a\u81ea\u7136\u8bed\u8a00\u5904\u7406\u9886\u57df\u7684\u5e94\u7528\u7814\u7a76\u63d0\u4f9b\u4e86\u65b0\u7684\u5de5\u5177\u3002<\/span><\/section>\n
2014\u5e74\uff0c\u8c37\u6b4c\u516c\u53f8\u6536\u8d2d\u4e86\u4e13\u6ce8\u4e8e\u6df1\u5ea6\u5b66\u4e60\u548c\u5f3a\u5316\u5b66\u4e60\u6280\u672f\u7684\u4eba\u5de5\u667a\u80fd\u516c\u53f8\u2014\u2014DeepMind\u516c\u53f8\u3002<\/span><\/section>\n

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2014\u5e746\u6708\uff0c\u4e00\u53f0\u540d\u4e3aEugene Goostman\uff08\u5c24\u91d1\u00b7\u53e4\u65af\u7279\u66fc\uff09\u7684\u804a\u5929\u673a\u5668\u4eba\u901a\u8fc7\u4e86\u56fe\u7075\u6d4b\u8bd5\u3002<\/span><\/section>\n
2014\u5e74\uff0c\u8499\u7279\u5229\u5c14\u5927\u5b66\u535a\u58eb\u751f\u4f0a\u6069\u00b7 \u53e4\u5fb7\u8d39\u6d1b\uff08Ian Goodfellow\uff09\uff0c\u4ece\u535a\u5f08\u8bba\u4e2d\u7684\u201c\u4e8c\u4eba\u96f6\u548c\u535a\u5f08\u201d\u5f97\u5230\u542f\u53d1\uff0c\u63d0\u51fa\u4e86\u751f\u6210\u5bf9\u6297\u7f51\u7edc\uff08GANs\uff0cGenerative Adversarial Networks\uff09\u3002<\/span><\/section>\n
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\u4f0a\u6069\u00b7 \u53e4\u5fb7\u8d39\u6d1b<\/span><\/p>\n

2015\u5e74\uff0cMicrosoft Research\u7684\u4f55\u607a\u660e\uff08Kaiming He\uff09\u7b49\u4eba\u63d0\u51fa\u7684\u6b8b\u5dee\u7f51\u7edc\uff08ResNet\uff09\uff0c\u5728ImageNet\u5927\u89c4\u6a21\u89c6\u89c9\u8bc6\u522b\u7ade\u8d5b\u4e2d\uff0c\u83b7\u5f97\u4e86\u56fe\u50cf\u5206\u7c7b\u548c\u7269\u4f53\u8bc6\u522b\u7684\u4f18\u80dc\u3002<\/span><\/section>\n
2015\u5e741\u6708\uff0c\u57c3\u9686\u00b7\u9a6c\u65af\u514b\u3001\u65af\u8482\u82ac\u00b7\u970d\u91d1\u548c\u53f2\u8482\u592b\u00b7\u6c83\u5179\u5c3c\u4e9a\u514b\u7b49\u4eba\u5728\u4e00\u5c01\u516c\u5f00\u4fe1\u4e0a\u7b7e\u540d\uff0c\u8981\u6c42\u7981\u6b62\u5f00\u53d1\u4eba\u5de5\u667a\u80fd\u6b66\u5668\u3002<\/span><\/section>\n
2015\u5e7411\u6708\uff0c\u8c37\u6b4c\u516c\u53f8\u5f00\u6e90\u4e86\u91cd\u8981\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6Tensor Flow\u3002<\/span><\/section>\n
2015\u5e7412\u6708\uff0c\u57c3\u9686\u00b7\u9a6c\u65af\u514b\uff08Elon Musk\uff09\u3001\u8428\u59c6\u00b7\u5965\u5c14\u7279\u66fc\uff08Sam Altman\uff09\u3001\u5f7c\u5f97\u00b7\u6cf0\u5c14\uff08Peter Thiel\uff09\u3001\u91cc\u5fb7\u00b7\u970d\u592b\u66fc\uff08Reid Hoffman\uff09\u7b49\u4eba\u5728\u65e7\u91d1\u5c71\u8054\u5408\u6210\u7acb\u4e86OpenAI\u516c\u53f8\u3002<\/span><\/section>\n

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2016\u5e74\uff0c\u8c37\u6b4c\u63d0\u51fa\u8054\u90a6\u5b66\u4e60\u65b9\u6cd5\uff0c\u5b83\u5728\u591a\u4e2a\u6301\u6709\u672c\u5730\u6570\u636e\u6837\u672c\u7684\u5206\u6563\u5f0f\u8fb9\u7f18\u8bbe\u5907\u6216\u670d\u52a1\u5668\u4e0a\u8bad\u7ec3\u7b97\u6cd5\uff0c\u800c\u4e0d\u4ea4\u6362\u5176\u6570\u636e\u6837\u672c\u3002<\/span><\/section>\n
2016\u5e743\u6708\uff0cDeepMind\u5f00\u53d1\u7684\u4eba\u5de5\u667a\u80fd\u56f4\u68cb\u7a0b\u5e8fAlphaGo\uff08\u963f\u5c14\u6cd5\u72d7\uff09\uff0c\u4ee54:1\u7684\u603b\u6bd4\u5206\u6218\u80dc\u4e86\u4e16\u754c\u56f4\u68cb\u51a0\u519b\u674e\u4e16\u77f3\uff0c\u9707\u60ca\u4e86\u5168\u4e16\u754c\u3002<\/span><\/section>\n

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2016\u5e742\u6708\uff0c\u4e2d\u56fd\u9999\u6e2f\u7684\u6c49\u68ee\u673a\u5668\u4eba\u516c\u53f8\uff08Hanson Robotics\uff09\u63a8\u51fa\u4e86\u4e00\u6b3e\u540d\u4e3a\u7d22\u83f2\u4e9a\uff08Sophia\uff09\u7684\u4eff\u4eba\u673a\u5668\u4eba\u3002\u5b83\u80fd\u901a\u8fc7\u56fe\u50cf\u8bc6\u522b\u201c\u770b\u201d\u4e1c\u897f\uff0c\u505a\u51fa\u9762\u90e8\u8868\u60c5\uff0c\u5e76\u80fd\u4f7f\u7528\u4eba\u5de5\u667a\u80fd\u8fdb\u884c\u4ea4\u6d41\u3002<\/span><\/section>\n
2016\u5e74\uff0c\u5fae\u8f6f\u516c\u53f8\u63a8\u51fa\u4e86\u5c0f\u51b0\uff08Xiaoice\uff09\u3002\u8fd9\u662f\u4e00\u6b3e\u5229\u7528\u81ea\u7136\u8bed\u8a00\u5904\u7406\u548c\u60c5\u611f\u8ba1\u7b97\u6280\u672f\u63d0\u4f9b\u793e\u4ea4\u804a\u5929\u670d\u52a1\u7684\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u3002<\/span><\/section>\n
2017\u5e741\u6708\uff0cFacebook\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u9662\u5f00\u6e90\u4e86PyTorch\u3002\u8fd9\u662f\u4e00\u4e2a\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u7684\u5f00\u6e90\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u3002<\/span><\/section>\n
2017\u5e745\u6708\uff0c\u5347\u7ea7\u7248\u7684AlphaGo\u4ee53:0\u6218\u80dc\u4e16\u754c\u6392\u540d\u7b2c\u4e00\u7684\u4e2d\u56fd\u56f4\u68cb\u68cb\u624b\u67ef\u6d01\u3002<\/span><\/section>\n

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2017\u5e7410\u670818\u65e5\uff0cDeepMind\u56e2\u961f\u516c\u5e03AlphaGo Zero\u3002\u4ece\u7a7a\u767d\u72b6\u6001\u5b66\u8d77\uff0c\u53ea\u97003\u5929\u5c31\u4ee5100:0\u7684\u6218\u7ee9\u51fb\u8d25\u66fe\u6218\u80dc\u67ef\u6d01\u7684AlphaGo\u7cfb\u7edf\u3002<\/span><\/section>\n
2017\u5e7412\u6708\uff0cGoogle\u673a\u5668\u7ffb\u8bd1\u56e2\u961f\u5728\u884c\u4e1a\u9876\u7ea7\u4f1a\u8baeNIPS\u4e0a\uff0c\u53d1\u8868\u4e86\u91cd\u78c5\u8bba\u6587\u300aAttention is all you need\uff08\u4f60\u6240\u9700\u8981\u7684\uff0c\u5c31\u662f\u6ce8\u610f\u529b\uff09\u300b\uff0c\u63d0\u51fa\u53ea\u4f7f\u7528\u201c\u81ea\u6211\u6ce8\u610f\u529b\uff08Self Attention\uff09\u201d\u673a\u5236\u6765\u8bad\u7ec3\u81ea\u7136\u8bed\u8a00\u6a21\u578b\u2014\u2014Transformer\uff08\u8f6c\u6362\u5668\u3001\u53d8\u538b\u5668\uff09\u3002Transformer\u5f7b\u5e95\u6539\u53d8\u4e86\u6df1\u5ea6\u5b66\u4e60\u7684\u53d1\u5c55\u65b9\u5411\u3002\u5b83\u4e0d\u4ec5\u5bf9\u5e8f\u5217\u5230\u5e8f\u5217\u4efb\u52a1\u3001\u673a\u5668\u7ffb\u8bd1\u548c\u5176\u5b83\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\u4ea7\u751f\u4e86\u6df1\u8fdc\u7684\u5f71\u54cd\uff0c\u4e5f\u4e3a\u540e\u6765AIGC\u7684\u5d1b\u8d77\u6253\u4e0b\u4e86\u575a\u5b9e\u7684\u57fa\u7840\u3002<\/span><\/section>\n
2018\u5e745\u6708\uff0c\u8c37\u6b4c\u63a8\u51faGoogle Duplex\u670d\u52a1\uff0c\u5141\u8bb8\u4eba\u5de5\u667a\u80fd\u52a9\u624b\u901a\u8fc7\u7535\u8bdd\u9884\u7ea6\u3002<\/span><\/section>\n
2018\u5e746\u6708\uff0cOpenAI\u53d1\u5e03\u4e86\u7b2c\u4e00\u7248\u7684GPT\u7cfb\u5217\u6a21\u578b\u2014\u2014GPT-1\u3002\u540c\u65f6\uff0c\u4ed6\u4eec\u8fd8\u53d1\u8868\u4e86\u8bba\u6587\u300aImproving Language Understanding by Generative Pre-training\uff08\u901a\u8fc7\u751f\u6210\u5f0f\u9884\u8bad\u7ec3\u6539\u8fdb\u8bed\u8a00\u7406\u89e3\uff09\u300b\u30022019\u5e74\u548c2020\u5e74\uff0cOpenAI\u63a5\u8fde\u53d1\u5e03\u4e86GPT-2\u548cGPT-3\u3002<\/span><\/section>\n
2018\u5e7410\u6708\uff0c\u8c37\u6b4c\u53d1\u5e03\u4e86\u67093\u4ebf\u53c2\u6570\u7684BERT\uff08Bidirectional Encoder Representation from Transformers\uff09\u6a21\u578b\uff0c\u610f\u601d\u662f\u201c\u6765\u81eaTransformers\u7684\u53cc\u5411\u7f16\u7801\u8868\u793a\u201d\u6a21\u578b\u3002<\/span><\/section>\n
2019\u5e74\uff0cDeepMind\u516c\u53f8\u5f00\u53d1\u4e86\u963f\u5c14\u6cd5\u661f\u9645\u4e89\u9738\uff08AlphaStar\uff09\uff0c\u8fd9\u662f\u4e00\u53f0\u4e13\u95e8\u7528\u4e8e\u73a9\u661f\u9645\u4e89\u97382\u6e38\u620f\u7684\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u3002<\/span><\/section>\n

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2019\u5e743\u6708\u4efd\uff0cOpenAI\u6b63\u5f0f\u5ba3\u5e03\u91cd\u7ec4\uff0c\u6210\u4e3a\u4e00\u5bb6”\u5229\u6da6\u4e0a\u9650\uff08caped-profit\uff09”\u7684\u516c\u53f8\u3002<\/span>7\u6708\uff0c\u91cd\u7ec4\u540e\u7684OpenAI\u62ff\u5230\u4e86\u5fae\u8f6f\u5305\u62ecAzure\u4e91\u8ba1\u7b97\u8d44\u6e90\u5728\u5185\u768410\u4ebf\u7f8e\u91d1\u6295\u8d44\u3002<\/span>\u5fae\u8f6f\u5c06\u4f5c\u4e3a”\u9996\u9009\u5408\u4f5c\u4f19\u4f34\u201d\uff0c\u4eca\u540e\u53ef\u83b7\u5f97OpenAI\u6280\u672f\u6210\u679c\u7684\u72ec\u5bb6\u6388\u6743\u3002<\/span><\/section>\n
2020\u5e742\u6708\uff0c\u5fae\u8f6f\u63a8\u51faTurind Natural Language Generatio\uff08T-NLG\uff09\uff0c\u8fd9\u662f\u4e00\u79cd\u751f\u6210\u5f0f\u8bed\u8a00\u6a21\u578b\uff0c\u662f\u5f53\u65f6\u6700\u5927\u7684\u8bed\u8a00\u6a21\u578b\u3002<\/span><\/section>\n
2020\u5e746\u6708\uff0cOpenAl\u53d1\u5e03\u4e86GPT-3\u8bed\u8a00\u6a21\u578b\u3002\u8be5\u6a21\u578b\u901a\u8fc7\u9884\u5148\u8bad\u7ec3\u7684\u7b97\u6cd5\u751f\u6210\u6587\u672c\uff0c\u5e76\u5b8c\u6210\u4eba\u7c7b\u51e0\u4e4e\u65e0\u6cd5\u5b8c\u6210\u7684\u8bed\u8a00\u4efb\u52a1\u3002\u968f\u540e\uff0cOpenAI\u53d1\u8868\u4e86\u8bba\u6587\u300aLanguage Models are Few-Shot Learner\u300b\uff0c\u9610\u8ff0\u4e86\u5927\u6a21\u578b\u7684\u5404\u79cd\u65b0\u80fd\u529b\uff0c\u800c\u6700\u91cd\u8981\u7684\u5c31\u662f\u5c0f\u6837\u672c\uff08few-shot\uff09\u5b66\u4e60\u80fd\u529b\u3002<\/span><\/section>\n
2020\u5e746\u6708\uff0c\u8bba\u6587\u300aDenoising Diffusion Probabilistic Models\uff08\u53bb\u566a\u6269\u6563\u6982\u7387\u6a21\u578b\uff0cDDPM\uff09\u300b\u53d1\u8868\u3002\u8fd9\u7bc7\u8bba\u6587\u7b2c\u4e00\u6b21\u628a2015\u5e74\u8bde\u751f\u7684Diffusion”\u6269\u6563\u6a21\u578b”\u7528\u5728\u4e86\u56fe\u50cf\u751f\u6210\u4e0a\u3002\u4e0d\u4e45\u4e4b\u540e\uff0cDDPM\u4ee5\u53ca\u540e\u7eed\u7684Diffusion\u6269\u6563\u6a21\u578b\u5c31\u5168\u9762\u53d6\u4ee3\u4e86GAN\uff08\u751f\u6210\u5f0f\u5bf9\u6297\u7f51\u7edc\uff09\uff0c\u6210\u4e3a\u4e86AI\u7ed8\u753b\u5927\u6a21\u578b\u7684\u4e3b\u6d41\u6280\u672f\u3002<\/span><\/section>\n
2020\u5e7411\u670830\u65e5\uff0cDeepMind\u516c\u53f8\u5ba3\u5e03\u5176\u7814\u5236\u7684\u4eba\u5de5\u667a\u80fd\u7cfb\u7edfAlphaFold2\u53ef\u4ee5\u7cbe\u51c6\u9884\u6d4b\u86cb\u767d\u8d28\u76843D\u7ed3\u6784\uff0c\u5373\u89e3\u51b3\u4e86\u201c\u86cb\u767d\u8d28\u6298\u53e0\u201d\u95ee\u9898\uff0c\u88ab\u8ba4\u4e3a\u662f\u89e3\u51b3\u4e86\u751f\u7269\u9886\u57df50\u5e74\u6765\u7684\u91cd\u8981\u96be\u9898\uff0c\u662f\u4eba\u5de5\u667a\u80fd\u7684\u53c8\u4e00\u6b21\u5de8\u5927\u6210\u529f\u3002<\/span><\/section>\n
2021\u5e741\u6708\uff0cOpenAl\u53d1\u5e03\u4e86\u53ef\u4ece\u6587\u672c\u751f\u6210\u56fe\u50cf\u7684\u4eba\u5de5\u667a\u80fd\u6a21\u578bDALL-E\u3002<\/span><\/section>\n
2021\u5e741\u670811\u65e5\uff0c\u8c37\u6b4c\u516c\u53f8\u53d1\u8868\u8bba\u6587\u300aSwitch Transformers\uff1aScaling to Trillion Parameter Models with Simple and Efficient Sparsity\u300b\uff0c\u63d0\u51fa\u4e86\u6700\u65b0\u8bed\u8a00\u6a21\u578b\u2014Switch Transformer\u3002\u8fd9\u4e2a\u6a21\u578b\u4ee5\u9ad8\u8fbe1.6\u4e07\u4ebf\u7684\u53c2\u6570\u91cf\uff0c\u6210\u4e3a\u5386\u53f2\u4e0a\u9996\u4e2a\u4e07\u4ebf\u7ea7\u8bed\u8a00\u6a21\u578b\u3002<\/span><\/section>\n
2021\u5e742\u6708\uff0cOpen AI\u5f00\u6e90\u4e86\u65b0\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578bCLIP\uff08Contrastive Language-Image Pre-Training\uff09\u3002\u540c\u65f6\uff0cOpenAI\u8fd8\u53d1\u5e03\u4e86\u81ea\u5df1\u57fa\u4e8eCLIP\u7684AI\u7ed8\u753bDALL-E \u6a21\u578b\u3002<\/span><\/section>\n
2021\u5e746\u670830\u65e5\uff0cOpenAI\u548cGitHub\u8054\u5408\u53d1\u5e03\u4e86AI\u4ee3\u7801\u8865\u5168\u5de5\u5177GitHub Copilot\u3002Copilot\u7684AI\u6280\u672f\u6838\u5fc3\u6b63\u662fOpenAI\u7684\u65b0\u6a21\u578bCodeX\uff08\u968f\u540e\u76848\u6708\u4efd\u4e5f\u5bf9\u5916\u53d1\u5e03\u4e86\uff09\u3002<\/span><\/section>\n
2021\u5e745\u6708\uff0c\u8c37\u6b4c\u516c\u53f8\u5f15\u5165\u4e86Language Model for Dialoque Applications\uff08LaMDA\uff09\u3002\u8fd9\u662f\u4e00\u4e2a\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff0c\u7528\u4e8e\u5728\u5bf9\u8bdd\u4e2d\u751f\u6210\u7c7b\u4f3c\u4eba\u7c7b\u7684\u53cd\u5e94\u3002<\/span><\/section>\n

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2021\u5e7410\u6708\uff0c\u7b2c\u4e00\u4e2a\u5f00\u6e90\u7684AI\u7ed8\u753b\u5927\u6a21\u578bDisco-Diffusion\u8bde\u751f\u3002<\/span><\/section>\n
2022\u5e743\u6708\uff0cOpenAI\u53d1\u5e03InstructGPT\uff0c\u540c\u65f6\u53d1\u8868\u8bba\u6587\u300aTraining language models to follow instructions with human feedback\uff08\u8bad\u7ec3\u8bed\u8a00\u6a21\u578b\u4ee5\u9075\u5faa\u5e26\u6709\u4eba\u7c7b\u53cd\u9988\u7684\u6307\u4ee4\uff09\u300b\u3002<\/span><\/section>\n
2022\u5e743\u6708\uff0cAI\u7ed8\u753b\u5de5\u5177Midjourney\u95ee\u4e16\uff0c\u521b\u59cb\u4eba\u662fDavid Holz\uff08\u6234\u7ef4\u00b7\u970d\u5c14\u5179\uff09\u3002<\/span><\/section>\n
2022\u5e744\u6708\uff0cOpenAI\u53d1\u5e03\u4e86AI\u7ed8\u753b\u5927\u6a21\u578bDALL-E 2\u3002<\/span><\/section>\n
2022\u5e747\u6708\uff0cDeepMind\u7834\u89e3\u4e86\u51e0\u4e4e\u6240\u6709\u5df2\u77e5\u7684\u86cb\u767d\u8d28\u7ed3\u6784\uff0c\u5176AlphaFold\u7b97\u6cd5\u6570\u636e\u5e93\u91cc\u5305\u542b\u4e862\u4ebf\u79cd\u5df2\u77e5\u86cb\u767d\u8d28\u7ed3\u6784\u3002<\/span><\/section>\n
2022\u5e748\u6708\uff0cStability AI\u5f00\u6e90\u4e86Stable Diffusion\u7ed8\u753b\u5927\u6a21\u578b\u7684\u6e90\u4ee3\u7801\u3002\u8fd9\u662f\u4e00\u6b3e\u57fa\u4e8e\u6587\u672c\u63cf\u8ff0\u751f\u6210\u56fe\u50cf\u7684\u6587\u672c\u5230\u56fe\u50cf\u5de5\u5177\u3002<\/span><\/section>\n
2022\u5e7411\u6708\uff0cOpenAI\u53d1\u5e03\u4e86\u57fa\u4e8eGPT\u6a21\u578b\u7684\u4eba\u5de5\u667a\u80fd\u5bf9\u8bdd\u5e94\u7528\u670d\u52a1\u2014\u2014ChatGPT\uff08\u4e5f\u53ef\u4ee5\u7406\u89e3\u4e3aGPT-3.5\uff09\uff0c\u5f7b\u5e95\u5f15\u7206\u4e86\u5168\u4e16\u754c\u3002<\/span><\/section>\n

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2023\u5e741\u6708\uff0c\u5fae\u8f6f\u5ba3\u5e03\u5bf9OpenAl\u8fdb\u884c\u591a\u5e74\u671f\u5de8\u989d\u6295\u8d44\uff0c\u6570\u5341\u4ebf\u7f8e\u5143\u3002<\/span><\/section>\n
2023\u5e742\u67087\u65e5\uff0c\u8c37\u6b4c\u516c\u53f8\u53d1\u5e03\u4e86\u7531LaMDA\u63d0\u4f9b\u652f\u6301\u7684\u804a\u5929\u673a\u5668\u4ebaBard\u3002<\/span><\/section>\n
2023\u5e742\u670825\u65e5\uff0cMeta\u516c\u53f8\u53d1\u5e03LLaMA\u6a21\u578b\u5e76\u5f00\u6e90\u30027\u670819\u65e5\uff0cMeta\u516c\u53f8\u53d1\u5e03\u4e86\u4eba\u5de5\u667a\u80fd\u6a21\u578bLLaMA 2\u7684\u5f00\u6e90\u5546\u7528\u7248\u672c\u3002<\/span><\/section>\n
2023\u5e743\u670815\u65e5\uff0cOpenAI\u53d1\u5e03\u4e86GPT-4\u3002<\/span><\/section>\n
2023\u5e743\u670816\u65e5\uff0c\u767e\u5ea6\u53d1\u5e03\u6587\u5fc3\u4e00\u8a00\u3002<\/span><\/section>\n
2023\u5e745\u670811\u65e5\uff0c\u8c37\u6b4c\u6b63\u5f0f\u5f00\u653e\u8d85\u7ea7AI\u5927\u6a21\u578bPaLM2\u3002<\/span><\/section>\n
2023\u5e746\u6708\uff0c\u82f1\u4f1f\u8fbe\u5e02\u503c\u7a81\u78341\u4e07\u4ebf\u7f8e\u5143\u3002\u7f8e\u80a1\u201c\u4e03\u5de8\u5934\u201d\uff08Magnificent 7\uff0c\u5206\u522b\u662f\uff1a\u8c37\u6b4c\u6bcd\u516c\u53f8Alphabet\u3001\u4e9a\u9a6c\u900a\u3001\u82f9\u679c\u3001Meta\u3001\u5fae\u8f6f\u3001\u82f1\u4f1f\u8fbe\u548c\u7279\u65af\u62c9\uff09\u7684\u80a1\u4ef7\u5f00\u59cb\u4e0d\u65ad\u6500\u5347\u3002<\/span><\/section>\n
2023\u5e7411\u6708\uff0c\u9996\u4efd\u4eba\u5de5\u667a\u80fd\u76d1\u7ba1\u58f0\u660e\u300a\u5e03\u83b1\u5207\u5229\u5ba3\u8a00\u300b\u53d1\u5e03\u3002<\/span><\/section>\n
2023\u5e7411\u670818\u65e5\uff0cOpenAI CEO\u5c71\u59c6\u00b7\u5965\u7279\u66fc\uff08Sam Altman\uff09\u88ab\u5f00\u9664\uff0c\u5f15\u53d1\u5168\u7f51\u5173\u6ce8\u300222\u65e5\uff0cOpenAI\u5b98\u65b9\u63a8\u7279\u5ba3\u5e03\uff0cSam Altman\u56de\u5f52\u5e76\u91cd\u65b0\u62c5\u4efbOpenAI CEO\u3002<\/span><\/section>\n

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2023\u5e7412\u67086\u65e5\uff0c\u8c37\u6b4c\u516c\u53f8\u53d1\u5e03\u591a\u6a21\u6001\u5927\u6a21\u578bGemini 1.0\uff08\u53cc\u5b50\u661f\uff09\u3002<\/span><\/section>\n

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2024\u5e742\u670815\u65e5\uff0cOpenAI\u53d1\u5e03\u4eba\u5de5\u667a\u80fd\u6587\u751f\u89c6\u9891\u5927\u6a21\u578bSora\u3002<\/span><\/section>\n

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2024\u5e745\u670814\u65e5\uff0cOpenAI\u4e3e\u884c\u6625\u5b63\u53d1\u5e03\u4f1a\uff0c\u63a8\u51fa\u65b0\u65d7\u8230\u6a21\u578bGPT-4o\u3002<\/span><\/section>\n
2024\u5e747\u670823\u65e5\uff0cMeta\u53d1\u5e03LLAMA 3.1 405B\u5f00\u6e90\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u3002<\/span><\/section>\n
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\uff08\u622a\u6b62\u65e5\u671f\uff1a2024\u5e747\u670829\u65e5\uff09<\/span><\/section>\n
\u2014\u2014 The End \u2014\u2014 <\/span><\/section>\n

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\u5177\u4f53\u7684\u53d1\u5c55\u53f2\uff0c\u8fd8\u662f\u5efa\u8bae\u5927\u5bb6\u9605\u8bfb\uff1a
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\u5165\u95e8\u5fc5\u8bfb\uff01\u5199\u7ed9\u521d\u5b66\u8005\u7684\u4eba\u5de5\u667a\u80fd\u7b80\u53f2\uff01<\/span><\/a><\/p>\n

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\u53c2\u8003\u6587\u732e\uff1a<\/span><\/strong><\/section>\n
1\u3001\u300a\u4eba\u5de5\u667a\u80fd\u7b80\u53f2\u300b\uff0c\u5c3c\u514b\uff1b<\/span><\/section>\n
2\u3001\u300a\u4eba\u5de5\u667a\u80fd\u53d1\u5c55\u7b80\u53f2\u300b<\/span>\u5b59\u51cc\u4e91\u3001\u5b5f\u8fb0\u70e8\u3001\u674e\u6cfd\u5065\uff1b<\/span><\/span><\/section>\n
3\u3001\u300a\u4eba\u5de5\u667a\u80fd 60 \u5e74\u6280\u672f\u7b80\u53f2\u300b\uff0c\u674e\u7406\uff1b<\/span><\/section>\n
4\u3001\u300a\u6df1\u5ea6\u5b66\u4e60\u7b80\u53f2\u300b\uff0cKeith D. Foote\uff1b<\/span><\/section>\n
5\u3001\u300a\u4eba\u5de5\u667a\u80fd\u53d1\u5c55\u53f2\uff08\u4ece\u8d77\u6b65\u5230\u78c5\u7934\uff09\u4ee5\u53ca\u6d6a\u6f6e\u9636\u6bb5\u300b\uff0cCSDN\uff1b
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6\u3001\u300a<\/span>\u4ece\u96f6\u542f\u7a0b\u2014\u2014\u4eba\u5de5\u667a\u80fd\u7b80\u53f2<\/span>\u300b\uff0c\u77e5\u4e4e\uff1b<\/span><\/section>\n
7\u3001\u300a<\/span>\u56db\u5f20\u56fe\u7247\u9053\u6e05AI\u5927\u6a21\u578b\u7684\u53d1\u5c55\u53f2<\/span>\u300b\uff0c\u963f\u91cc\u4e91\uff1b<\/span><\/section>\n
8\u3001\u300aGPT\u7684\u80cc\u540e\uff0c\u4ece\u547d\u8fd0\u591a\u821b\u5230\u98a0\u8986\u4e16\u754c\uff0c\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u7684\u8dcc\u5b9580\u5e74<\/span>\u300b\uff0c\u5b59\u777f\u6668\uff1b<\/span><\/section>\n
9\u3001\u767e\u5ea6\u767e\u79d1\u3001\u7ef4\u57fa\u767e\u79d1\u7b49\u3002<\/span><\/section>\n


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