\u76ee\u524d\uff0c\u8bb8\u591a\u7814\u7a76\u4eba\u5458\u6b63\u8bd5\u56fe\u901a\u8fc7\u4f7f\u7528\u8fd9\u79cd\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u6765\u89e3\u51b3\u73b0\u6709\u65b9\u6cd5\u96be\u4ee5\u89e3\u51b3\u7684\u95ee\u9898\u3002\u800c\u4ece21\u4e16\u7eaa\u5f00\u59cb\uff0c\u5b83\u6210\u4e3a\u4e0e\u91cf\u5b50\u8ba1\u7b97\uff08Quantum computing\uff09* <\/sup>\u5171\u540c\u83b7\u5f97\u6700\u591a\u5173\u6ce8\u7684\u4e00\u79cd\u65b0\u7684\u95ee\u9898\u89e3\u51b3\u65b9\u5f0f\u3002\u4f20\u7edf\u8ba1\u7b97\u673a\u6267\u884c\u7684\u7b97\u6cd5\u662f\u4ee5\u57fa\u4e8e\u5e03\u5c14\u4ee3\u6570\uff08Boolean Algebra\uff09* <\/sup>\u7684\u6570\u5b66\u6a21\u578b\u7684\u51af\u00b7\u8bfa\u4f0a\u66fc\uff08von Neumann\uff09\u67b6\u6784\u8bbe\u8ba1\u7684\u3002\u572820\u4e16\u7eaa\uff0c\u5b83\u662f\u89e3\u51b3\u95ee\u9898\u7684\u6700\u4f73\u5de5\u5177\u3002\u7136\u800c\uff0c\u6211\u4eec\u5df2\u7ecf\u8fdb\u5165\u4ee5\u4eba\u5de5\u667a\u80fd\u4e3a\u7279\u8272\u768421\u4e16\u7eaa\uff0c\u5b83\u4e3a\u6211\u4eec\u5e26\u6765\u4e86\u4e00\u79cd\u5b8c\u5168\u4e0d\u540c\u7684\u80fd\u529b\u3002<\/p>\n \u25b2 \u56fe1\uff1a\u65e9\u671f\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u53d1\u5c55\u65f6\u95f4\u8f74<\/p>\n 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\u4ece\u6839\u672c\u4e0a\u8bf4\uff0c\u795e\u7ecf\u7f51\u7edc\u7684\u57fa\u7840\u662f\u5927\u8111\u7684\u673a\u5236\u3002\u5728\u795e\u7ecf\u89e3\u5256\u5b66\u8bc1\u660e\u4e86\u795e\u7ecf\u7f51\u7edc\u7531\u795e\u7ecf\u5143\u548c\u795e\u7ecf\u5143\u4e4b\u95f4\u7684\u7a81\u89e6\u7ec4\u6210\u540e\uff0c\u6c83\u4f26\u00b7\u9ea6\u5361\u6d1b\u514b\uff08Warren McCulloch\uff09\u548c\u6c83\u5c14\u7279\u00b7\u76ae\u8328\uff08Walter Pitts\uff09\u57281943\u5e74\u5f00\u53d1\u4e86\u4e00\u4e2a\u795e\u7ecf\u7f51\u7edc\u7684\u6570\u5b66\u6a21\u578b\u3002\u57281969\u5e74\u4ee5\u524d\uff0c\u8fd9\u79cd\u88ab\u79f0\u4e3a\u611f\u77e5\u5668\u6a21\u578b\u7684\u6570\u5b66\u6a21\u578b\u8fdb\u884c\u5404\u79cd\u903b\u8f91\u8fd0\u7b97\u7684\u80fd\u529b\u88ab\u4e0d\u65ad\u8bc1\u660e\u30021969\u5e74\uff0c\u8457\u540d\u6570\u5b66\u5bb6\u9a6c\u6587\u00b7\u95f5\u65af\u57fa\uff08Marvin Minsky\uff09\u548c\u897f\u6469\u00b7\u4f69\u73c0\u7279\uff08Seymour Papert\uff09\u6307\u51fa\uff0c\u611f\u77e5\u5668\u6a21\u578b\u53ea\u80fd\u89e3\u51b3\u7ebf\u6027\u65b9\u7a0b\uff0c\u751a\u81f3\u4e0d\u80fd\u5b66\u4e60\u7b80\u5355\u7684XOR\u51fd\u6570* <\/sup>\uff0c\u8fd9\u4fc3\u4f7f\u8bb8\u591a\u4eba\u628a\u6ce8\u610f\u529b\u8f6c\u79fb\u5230\u5176\u4ed6\u5730\u65b9\u3002\u6b64\u5916\uff0c\u5b66\u4e60\u548c\u786e\u5b9a\u7a81\u89e6\u6743\u91cd\u7684\u65b9\u6cd5\u5177\u6709\u6311\u6218\u6027\uff0c\u5374\u662f\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u7684\u5173\u952e\u3002\u8fd9\u4f7f\u5f97\u8be5\u65b9\u6cd5\u66f4\u96be\u6295\u5165\u5b9e\u9645\u5e94\u7528\u4e2d\u3002<\/p>\n \u25b2 \u56fe3\uff1a\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc<\/p>\n 2010\u5e74\uff0c\u591a\u4f26\u591a\uff08Toronto\uff09\u5927\u5b66\u7684\u6770\u5f17\u91cc\u00b7\u8f9b\u987f\uff08Geoffrey Hinton\uff09\u6559\u6388\u63d0\u51fa\u4e86\u4e00\u79cd\u7b80\u5355\u4f46\u5177\u6709\u7a81\u7834\u6027\u7684\u65b9\u6cd5\uff0c\u5373\u91c7\u7528\u4e00\u79cd\u53eb\u505a\u7ebf\u6027\u6574\u6d41\u51fd\u6570\uff08ReLU\uff0cRectified Linear Unit\uff09\u7684\u6fc0\u6d3b\u51fd\u6570\u3002\u5b83\u5c06\u4f7f\u8ba1\u7b97\u673a\u80fd\u591f\u5728\u4e0d\u5931\u53bb\u51c6\u786e\u6027\u7684\u60c5\u51b5\u4e0b\uff0c\u901a\u8fc7\u7a7f\u900f\u591a\u5c42\u6765\u5b66\u4e60\u7a81\u89e6\u91cd\u91cf\uff0c\u672c\u8d28\u4e0a\u662f\u8fdb\u884c\u4ece\u8f93\u51fa\u5230\u8f93\u5165\u7684\u77e5\u8bc6\u53cd\u5411\u4f20\u64ad\u3002\u8fd9\u662f\u795e\u7ecf\u7f51\u7edc\u7814\u7a76\u5386\u53f2\u4e0a\u7684\u4e00\u4e2a\u8f6c\u6298\u70b9\u3002\u800c\u57282012\u5e74\uff0c\u8f9b\u987f\u6559\u6388\u7684\u7814\u7a76\u5c0f\u7ec4\u53d1\u8868\u4e86AlexNet\uff0c\u4e00\u4e2a\u5c06\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u7684\u5b66\u4e60\u65b9\u6cd5\u5e94\u7528\u4e8e\u56fe\u50cf\u5206\u7c7b\u7684\u67b6\u6784\uff0c\u8fd9\u662f\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u6700\u5177\u6311\u6218\u6027\u7684\u95ee\u9898\u3002\u53ef\u4ee5\u8bf4\uff0cAlexNet\u7684\u51fa\u73b0\u5927\u5927\u514b\u670d\u4e86\u73b0\u6709\u6280\u672f\u7684\u5c40\u9650\u6027\u3002<\/p>\n 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Net\uff09\u6a21\u578b\u88ab\u5f15\u5165\uff0c\u8be5\u6a21\u578b\u6a21\u62df\u4e86\u732b\u773c\u5728\u89c6\u7f51\u819c\u6355\u6349\u56fe\u50cf\u540e\u5e76\u8fdb\u884c\u5904\u7406\u7684\u89c6\u7f51\u819c\u7ed3\u6784\u3002\u6700\u7ec8\uff0c\u8fd9\u4e00\u6a21\u578b\u8fbe\u5230\u4e86\u4e0e\u4eba\u5206\u6790\u56fe\u50cf\u7684\u65b9\u5f0f\u76f8\u5f53\u7684\u6027\u80fd\u6c34\u5e73\u3002\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u662f\u6307\u5177\u6709\u8d85\u8fc710\u4e2a\u9690\u85cf\u5c42\u7684\u6df1\u5ea6\u5782\u76f4\u7ed3\u6784\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u800c\u4e00\u822c\u7684\u795e\u7ecf\u7f51\u7edc\u53ea\u67094\u52305\u5c42\u3002\u5728\u8fd9\u6837\u7684\u8fc7\u7a0b\u4e2d\uff0c\u9700\u8981\u7684\u8ba1\u7b97\u5de5\u4f5c\u91cf\u662f\u5de8\u5927\u7684\uff0c\u7531\u4e8e\u7528\u65f6\u6781\u957f\uff0c\u5b83\u5f88\u96be\u5728\u73b0\u6709\u7684\u8ba1\u7b97\u673a\u4e0a\u4f7f\u7528\u3002\u4f46\u79d1\u6280\u516c\u53f8\u82f1\u4f1f\u8fbe\uff08NVIDIA\uff09\u5229\u7528\u4e3a\u663e\u5361\u5f00\u53d1\u7684\u56fe\u5f62\u5904\u7406\u5355\u5143\uff08GPU, Graphics Processing Unit\uff09\u7684\u8ba1\u7b97\u80fd\u529b\uff0c\u4ee5\u5927\u89c4\u6a21\u7684\u5e76\u884c\u5904\u7406\u529f\u80fd\u6765\u6784\u5efa\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\uff08DNN, Deep Neural Networks\uff09\uff0c\u4ee5\u89e3\u51b3\u4f20\u7edf\u65b9\u6cd5\u65e0\u6cd5\u89e3\u51b3\u7684\u95ee\u9898\uff0c\u5e76\u5728\u77ed\u65f6\u95f4\u5185\u5b9e\u73b0\u7a81\u89e6\u6743\u91cd\u7684\u8bad\u7ec3\u3002<\/p>\n \u8fd9\u5bfc\u81f4\u4e86\u5de8\u5927\u7684\u8fdb\u6b65\u3002DNN\u88ab\u7528\u4e8e\u8bb8\u591a\u5176\u4ed6\u5e94\u7528\uff0c\u8bb8\u591a\u7814\u7a76\u4eba\u5458\u4ea6\u7ade\u76f8\u7814\u7a76\u65b0\u7684DNN\u7ed3\u6784\u3002\u56e0\u6b64\uff0c\u4ee5DNN\u4e3a\u4ee3\u8868\u7684\u4eba\u5de5\u667a\u80fd\u89e3\u51b3\u95ee\u9898\u7684\u80fd\u529b\u8fc5\u901f\u53d1\u5c55\uff0c\u5e76\u6e17\u900f\u5230\u8bb8\u591a\u5e94\u7528\u9886\u57df\uff0c\u6210\u4e3a\u89e3\u51b3\u56f0\u96be\u95ee\u9898\u7684\u4e07\u80fd\u836f\u3002<\/p>\n \u6b63\u662f\u4ee5GPU\u4e3a\u4e2d\u5fc3\u7684\u786c\u4ef6\u7684\u53d1\u5c55\uff0c\u4f7fDNN\u5f97\u4ee5\u4ece\u7406\u8bba\u57fa\u7840\u53d1\u5c55\u5230\u5e94\u7528\u3002\u5982\u679c\u6ca1\u6709GPU\u7684\u5f3a\u5927\u8ba1\u7b97\u80fd\u529b\uff0c\u4eba\u5de5\u667a\u80fd\u7684\u53d1\u5c55\u5c06\u662f\u975e\u5e38\u7f13\u6162\u7684\u3002<\/p>\n \u4f46\u8981\u6700\u7ec8\u521b\u9020\u51fa\u8d85\u8d8a\u4eba\u7c7b\u80fd\u529b\u7684\u4eba\u5de5\u667a\u80fd\uff0c\u9700\u8981\u6bd4\u4eca\u5929\u66f4\u5f3a\u7684\u8ba1\u7b97\u6027\u80fd\u3002\u56e0\u6b64\uff0c\u5173\u952e\u70b9\u4fbf\u5728\u8d85\u8d8a\u5f53\u524dGPU\u7684\u4e0b\u4e00\u4ee3\u4eba\u5de5\u667a\u80fd\u534a\u5bfc\u4f53\u4e2d\u3002<\/p>\n 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\u8fd9\u79cd\u89c4\u6a21\u7684\u8ba1\u7b97\u7ed3\u6784\u8d85\u51fa\u4e86\u76ee\u524d\u534a\u5bfc\u4f53\u5236\u9020\u7684\u80fd\u529b\uff0c\u4f46\u9884\u8ba1\u4e13\u95e8\u8bbe\u8ba1\u7684\u4eba\u5de5\u667a\u80fd\u534a\u5bfc\u4f53\uff08AI\u82af\u7247\uff09\u53ef\u4ee5\u5904\u7406\u5b83\u3002\u636e\u9884\u6d4b\uff0c\u7531\u8fd9\u6837\u7684\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u7ec4\u6210\u7684\u534a\u5bfc\u4f53\u82af\u7247\u5c06\u9762\u4e34\u6027\u80fd\u7684\u5feb\u901f\u63d0\u9ad8\u3001\u6307\u6570\u7ea7\u7684\u5e02\u573a\u5316\u4ee5\u53ca\u5e94\u7528\u8303\u56f4\u7684\u6269\u5927\u3002\u9884\u8ba1\u52302024\u5e74\uff0c\u5e02\u573a\u5c06\u589e\u957f\u5230\u7ea652\u4e07\u4ebf\u97e9\u5143\uff08\u7ea6440\u4ebf\u7f8e\u5143\uff09\uff0c\u52302030\u5e74\u66f4\u5c06\u589e\u957f\u5230140\u4e07\u4ebf\u97e9\u5143\uff08\u7ea61200\u4ebf\u7f8e\u5143\uff09\u3002<\/p>\n \u25b2 \u56fe4\uff1a\u4eba\u7c7b\u795e\u7ecf\u5143\u548c\u7a81\u89e6\u6570\u91cf\u7684\u5bf9\u6bd4<\/p>\n \u6839\u636e\u5e94\u7528\u9886\u57df\u7684\u4e0d\u540c\uff0c\u4eba\u5de5\u667a\u80fd\u534a\u5bfc\u4f53\u5927\u4f53\u4e0a\u53ef\u4ee5\u5206\u4e3a\u4e91\u670d\u52a1\u82af\u7247\u548c\u8fb9\u7f18\u8ba1\u7b97\u82af\u7247\u3002\u5bf9\u4e8e\u8fd9\u4e24\u7c7b\u82af\u7247\uff0c\u6240\u8981\u6c42\u7684\u89c4\u683c\u5dee\u522b\u5f88\u5927\uff0c\u800c\u8fd9\u4e24\u4e2a\u5e02\u573a\u7684\u89c4\u6a21\u9884\u8ba1\u662f\u76f8\u4f3c\u7684\u3002\u800c\u6839\u636e\u529f\u80fd\u7684\u4e0d\u540c\uff0c\u4eba\u5de5\u667a\u80fd\u82af\u7247\u8fd8\u53ef\u4ee5\u5206\u4e3a\u4e24\u4e2a\u4e13\u95e8\u7684\u9886\u57df\uff1a\u7528\u4e8e\u63a8\u7406\u4ee5\u53ca\u7528\u4e8e\u6570\u636e\u8bad\u7ec3\uff08\u4e00\u822c\u4e5f\u56ca\u62ec\u63a8\u7406\u529f\u80fd\uff09\u3002<\/p>\n \u63a8\u7406\u6307\u7684\u662f\u6839\u636e\u5df2\u7ecf\u8bad\u7ec3\u8fc7\u7684\u5185\u5bb9\u5c06\u8f93\u51fa\u4f20\u9012\u7ed9\u8f93\u5165\u7684\u5355\u8fb9\u8ba1\u7b97\u3002\u5b83\u4e3b\u8981\u662f\u75318\u4f4d\u6216\u66f4\u4f4e\u7cbe\u5ea6\u7684\u77e9\u9635\u5411\u91cf\u4e58\u6cd5\u7ec4\u6210\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0c\u7528\u4e8e\u8bad\u7ec3\u7684\u82af\u7247\u9700\u898116\u523032\u4f4d\uff08bit\uff09\u7684\u9ad8\u7cbe\u5ea6\uff0c\u5bf9\u5404\u79cd\u6570\u636e\u6279\u6b21\u8fdb\u884c\u8bad\u7ec3\uff0c\u4ee5\u6b64\u6765\u5feb\u901f\u8bad\u7ec3\u5927\u91cf\u7684\u6570\u636e\u3002\u8fd9\u9700\u8981\u8fdb\u884c\u77e9\u9635\u548c\u77e9\u9635\u95f4\u7684\u8fd0\u7b97\uff0c\u5e26\u6765\u66f4\u5927\u7684\u8ba1\u7b97\u91cf\uff0c\u5e76\u6bd4\u7b80\u5355\u63a8\u7406\u6d88\u8017\u66f4\u591a\u7684\u80fd\u91cf\u3002\u7136\u800c\uff0c\u4e00\u65e6\u8fdb\u884c\u4e86\u8bad\u7ec3\u5e76\u5b9a\u4e49\u4e86\u7a81\u89e6\u6743\u91cd\uff0c\u5de5\u4f5c\u5c31\u4f1a\u8f6c\u79fb\u5230\u5927\u91cf\u4e13\u95e8\u7528\u4e8e\u63a8\u7406\u7684\u4f4e\u529f\u8017AI\u82af\u7247\u4e0a\u3002<\/p>\n \u4f5c\u4e3a\u4e91\u670d\u52a1\u5e02\u573a\u7684\u6700\u5f3a\u8005\uff0c\u8c37\u6b4c\uff08Google\uff09\u5728\u4e13\u6ce8\u4e8e\u66f4\u6709\u6548\u5730\u8fd0\u8425\u4eba\u5de5\u667a\u80fd\u670d\u52a1\u65b9\u9762\u9886\u5148\u4e8e\u5176\u7ade\u4e89\u5bf9\u624b\u3002\u8c37\u6b4c\u7279\u522b\u6e05\u695a\uff0c\u5b83\u9700\u8981\u4e00\u4e2a\u4e13\u7528\u7684\u4e13\u4e1a\u5904\u7406\u5668\uff0c\u4ee5\u66f4\u5feb\u3001\u66f4\u6709\u6548\u7684\u65b9\u5f0f\u5904\u7406\u4eba\u5de5\u667a\u80fd\u4e2d\u4f7f\u7528\u7684\u6df1\u5ea6\u5b66\u4e60\u5de5\u4f5c\u8d1f\u8f7d\u8ba1\u7b97\u3002\u73b0\u5b9e\u4e0a\uff0c\u4f7f\u7528\u79d1\u6280\u516c\u53f8\u82f1\u4f1f\u8fbe\u7684GPU\u662f\u6700\u5408\u7406\u7684\u9009\u62e9\uff0c\u4f46GPU\u4ece\u6839\u672c\u4e0a\u8bf4\u662f\u7528\u4e8e\u56fe\u50cf\u6e32\u67d3\u548c\u6267\u884c\u5149\u7ebf\u8ffd\u8e2a\u8ba1\u7b97\u7684\u3002\u56e0\u6b64\uff0c\u5b83\u91c7\u7528\u4e86\u53ef\u7f16\u7a0b\u7684\u5355\u6307\u4ee4\u3001\u591a\u6570\u636e\uff08SIMD\uff0cSingle-Instruction, Multiple Data\uff09\u5904\u7406\u5668\u7ed3\u6784\u3002\u867d\u7136\u5b83\u4e3a\u5904\u7406\u9ad8\u901f\u6e38\u620f\u56fe\u5f62\u8fdb\u884c\u4e86\u4f18\u5316\uff0c\u5e76\u4e14\u7531\u4e8e\u5b83\u662f\u53ef\u7f16\u7a0b\u7684\uff0c\u6240\u4ee5\u53ef\u4ee5\u7528\u4e8e\u5404\u79cd\u5e94\u7528\uff0c\u4f46\u5bf9\u4e8eDNN\u6765\u8bf4\uff0c\u5b83\u7684\u6548\u7387\u5f88\u4f4e\uff0c\u7f3a\u4e4f\u6267\u884c\u524d\u6cbf\u4eba\u5de5\u667a\u80fd\u5e94\u7528\u7684\u6df1\u5ea6\u5b66\u4e60\u6216\u673a\u5668\u5b66\u4e60\u5de5\u4f5c\u8d1f\u8f7d\u7684\u6548\u7387\u3002<\/p>\n \u6b64\u5916\uff0cGPU\u652f\u6301\u56fe\u5f62\u6570\u636e\uff0c\u8fd9\u4e0e\u4eba\u5de5\u667a\u80fd\u6240\u9700\u7684\u6570\u636e\u4e0d\u540c\u3002\u540c\u65f6\uff0c\u8ba1\u7b97\u65b9\u6cd5\u4e5f\u5b58\u5728\u5dee\u5f02\uff0c\u8fd9\u610f\u5473\u7740\u867d\u7136\u5b83\u80fd\u63d0\u4f9b\u6709\u7528\u7684\u529f\u80fd\uff0c\u4f46\u5728\u80fd\u6e90\u6548\u7387\u65b9\u9762\u662f\u4e0d\u5229\u7684\u3002\u4e3a\u4e86\u514b\u670d\u8fd9\u4e9b\u9650\u5236\u5e76\u5f00\u53d1\u8c37\u6b4c\u81ea\u5bb6\u4e13\u7528\u4e8e\u4eba\u5de5\u667a\u80fd\u670d\u52a1\u7684\u5904\u7406\u5668\uff0c\u8be5\u516c\u53f8\u57282013\u5e74\u7ec4\u5efa\u4e86\u4e00\u4e2a\u5904\u7406\u5668\u67b6\u6784\u56e2\u961f\uff0c\u5f00\u59cb\u5f00\u53d1\u5f20\u91cf\u5904\u7406\u5355\u5143\uff08TPU\uff0cTensor Processing Unit\uff09\u3002\u52302015\u5e74\uff0c\u8c37\u6b4c\u5f00\u53d1\u7684\u534a\u5bfc\u4f53\u82af\u7247\u5f00\u59cb\u88ab\u5e94\u7528\u4e8e\u81ea\u5bb6\u4e91\u670d\u52a1\u4e2d\u3002\u8be5\u82af\u7247\u7684\u5177\u4f53\u529f\u80fd\u548c\u7ec4\u6210\u76f4\u52302017\u5e74\u624d\u88ab\u62ab\u9732\u51fa\u6765\u3002TPU\u6709\u4e00\u4e2a\u5de8\u5927\u7684\u77e9\u9635\uff0c\u6240\u6301\u6709\u7684\u7a81\u89e6\u6743\u91cd\u80fd\u6709\u6548\u5730\u6267\u884cDNN\u7684\u63a8\u7406\u529f\u80fd\uff0c\u540c\u65f6\u8fd8\u6709\u4f7f\u6bcf\u5c42\u8f93\u5165\u5411\u91cf\u7ffb\u500d\u7684\u529f\u80fd\u3002\u5b83\u7684\u6027\u80fd\u4e5f\u901a\u8fc7\u91c7\u7528\u6536\u7f29\u7ed3\u6784\u800c\u5f97\u5230\u663e\u8457\u6539\u5584\uff0c\u4ee5\u4fbf\u5728\u4e0d\u6d6a\u8d39\u65f6\u95f4\u7684\u60c5\u51b5\u4e0b\u5b9e\u73b0\u5fc5\u8981\u7684\u5e76\u884c\u548c\u6d41\u6c34\u7ebf\u8ba1\u7b97\u3002<\/p>\n \u8fd9\u91cc\uff0c\u5f20\u91cf\u6307\u7684\u662f\u4e8c\u7ef4\u4ee5\u4e0a\u7684\u591a\u7ef4\u77e9\u9635\u3002\u8c37\u6b4c\u5f00\u53d1\u7684\u7b2c\u4e00\u6b3e\u82af\u7247\u4ec5\u7528\u4e8e\u4e8c\u7ef4\u7684\u63a8\u7406\uff0c\u6ca1\u6709\u8bad\u7ec3\u80fd\u529b\uff0c\u800c\u7b2c\u4e8c\u6b3eTPU\u82af\u7247\u5219\u53ef\u4ee5\u8ba1\u7b97\u591a\u7ef4\u51fd\u6570\uff0c\u540c\u65f6\u4e5f\u6709\u8bad\u7ec3\u80fd\u529b\u3002<\/p>\n \u8c37\u6b4c\u7684\u7b2c\u4e00\u4ee3TPU\u7279\u5b9a\u5e94\u7528\u96c6\u6210\u7535\u8def\uff08ASIC, Application-Specific Integrated Circuit\uff09\u91c7\u752828\u7eb3\u7c73\u5de5\u827a\u5236\u9020\u3002\u8fd9\u6b3eTPU\u88ab\u7528\u4e8e\u56f4\u68cb\u6bd4\u8d5b\u2014\u2014\u4e00\u9879\u88ab\u8ba4\u4e3a\u662f\u4ec5\u9760\u4f20\u7edf\u8ba1\u7b97\u673a\u96be\u4ee5\u4e0e\u4eba\u7c7b\u68cb\u624b\u5bf9\u6297\u7684\u6e38\u620f\uff0c\u5e76\u88ab\u7528\u4e8e\u8bbe\u8ba1\u4eba\u5de5\u667a\u80fd\u9a71\u52a8\u7684\u56f4\u68cb\u7a0b\u5e8fAlphaGo\u3002\u57282016\u5e743\u6708\u7684\u8c37\u6b4cDeepMind\u6311\u6218\u8d5b\u4e0a\uff0c\u8be5TPU\u4ee54\u6bd41\u7684\u6bd4\u5206\u51fb\u8d25\u4e869\u6bb5\u7684\u804c\u4e1a\u56f4\u68cb\u9009\u624b\u674e\u4e16\u77f3\u3002\u8fd9\u6b21\u80dc\u5229\u8868\u660e\uff0c\u4eba\u5de5\u667a\u80fd\u7684\u80fd\u529b\u5df2\u8d85\u8fc7\u4e86\u4eba\u7c7b\u7684\u80fd\u529b\u3002<\/p>\n TPU\u82af\u7247\u4ece\u6839\u672c\u4e0a\u8bf4\u662f\u63a8\u7406\u7684\u52a0\u901f\u5668\uff0c\u4e0d\u9002\u7528\u4e8e\u8bad\u7ec3\u76ee\u7684\uff0c\u5373\u6307\u5b66\u4e60\u6743\u91cd\uff0c\u8fd9\u662fDNN\u5904\u7406\u7684\u53e6\u4e00\u4e2a\u65b9\u9762\u3002\u6b64\u540e\uff0c\u8c37\u6b4c\u57282017\u5e74\u5ba3\u5e03\u4e86\u7b2c\u4e8c\u4ee3TPU v2\uff0c2018\u5e74\u5ba3\u5e03\u4e86v3\uff0c2020\u5e74\u5ba3\u5e03\u4e86v4\uff0c\u4e0d\u4ec5\u53ef\u4ee5\u52a0\u901f\u63a8\u7406\uff0c\u8fd8\u53ef\u4ee5\u52a0\u901f\u8bad\u7ec3\u3002\u800c\u4e14\u5b83\u91c7\u7528\u4e86\u4e0b\u4e00\u4ee32.5D\uff082.5\u7ef4\uff09\u9ad8\u5e26\u5bbd\u5185\u5b58\uff08HBM\uff0cHigh Bandwidth Memory\uff09\uff0c\u800c\u4e0d\u662f\u4ee5\u524d\u7684DDR\u5185\u5b58\u4f5c\u4e3a\u5916\u90e8\u5b58\u50a8\u5668\u3002<\/p>\n HBM\u4f5c\u4e3a\u4e00\u79cd\u65b0\u578b\u5185\u5b58\u51fa\u73b0\uff0c\u660e\u663e\u4f18\u4e8e\u4ee5\u524d\u670d\u52a1\u5668\u4e2d\u5927\u591a\u4f7f\u7528\u7684DDR DRAM\u3002\u5b83\u67094\u62168\u4e2a\u5782\u76f4\u5806\u53e0\u7684DRAM\u82af\u7247\uff0c\u5b58\u50a8\u5bb9\u91cf\u6bd4\u4ee5\u524d\u66f4\u5927\u3002\u5b83\u8fd8\u53ef\u4ee5\u901a\u8fc7\u5206\u914d2000\u591a\u6761\u8fde\u63a5\u7ebf\uff0c\u5e76\u901a\u8fc7\u7845\u4e2d\u4ecb\u5c42\uff08Silicon Interposer\uff09\u8fde\u63a5\uff0c\u800c\u4e0d\u662f\u4ee5\u524d\u5927\u591a\u4f7f\u7528\u7684\u5370\u5237\u7535\u8def\u677f\uff08PCB, Printed Circuit Board\uff09\uff0c\u663e\u8457\u63d0\u9ad8\u4e86\u8f93\u5165\/\u8f93\u51fa\u6027\u80fd\u3002\u56e0\u6b64\uff0cHBM\u5df2\u7ecf\u6210\u4e3a\u6784\u5efa\u9ad8\u6027\u80fd\u7cfb\u7edf\u7684\u4e00\u79cd\u91cd\u8981\u5b58\u50a8\u5668\u3002<\/p>\n \u25b2 \u56fe4\uff1aSK\u6d77\u529b\u58eb\u7684HBM3<\/p>\n \u5982\u4eca\uff0cSK\u6d77\u529b\u58eb\u5df2\u5f00\u59cb\u751f\u4ea7HBM2E\uff0c\u5e76\u6210\u529f\u5f00\u53d1\u4e86\u4e0b\u4e00\u4ee3\u6807\u51c6HBM3\uff0c\u4fdd\u6301\u4e86\u5e02\u573a\u7684\u9886\u5148\u5730\u4f4d\u3002\u5728\u5f00\u53d1\u4eba\u5de5\u667a\u80fd\u4e13\u7528\u82af\u7247\u7684\u8fc7\u7a0b\u4e2d\uff0c\u7cfb\u7edf\u7ba1\u7406\u6570\u636e\u5bf9\u4e8e\u627e\u5230\u6700\u6709\u6548\u7684\u7ed3\u6784\u662f\u975e\u5e38\u5fc5\u8981\u7684\u3002\u7531\u4e8e\u8c37\u6b4c\u8fd0\u8425\u7740\u5927\u578b\u7684\u4e91\u670d\u52a1\u4e2d\u5fc3\uff0c\u8981\u83b7\u5f97\u6240\u9700\u7684\u6570\u636e\u91cf\u5e76\u4e0d\u56f0\u96be\u3002\u5b83\u53ef\u4ee5\u6536\u96c6\u5173\u4e8e\u8bc6\u522b\u5b9e\u9645\u5de5\u4f5c\u8d1f\u8f7d\u7ec4\u5408\u7684\u5404\u79cd\u6570\u636e\uff0c\u4e86\u89e3\u670d\u52a1\u6548\u7387\u7684\u74f6\u9888\uff0c\u4ee5\u6709\u6548\u7ba1\u7406\u5176\u4eba\u5de5\u667a\u80fd\u670d\u52a1\u3002\u56e0\u6b64\uff0c\u8c37\u6b4c\u80fd\u591f\u5efa\u7acb\u7cfb\u7edf\uff0c\u6301\u7eed\u5f00\u53d1\u57fa\u4e8e\u6570\u636e\u4f18\u5316\u7684AI\u52a0\u901f\u5668\u3002\u7531\u6b64\u53ef\u89c1\uff0c\u8c37\u6b4c\u9884\u8ba1\u5c06\u80fd\u591f\u901a\u8fc7\u5f00\u53d1\u5404\u4e2a\u5e94\u7528\u9886\u57df\u7684\u65b0\u82af\u7247\u6765\u4e0d\u65ad\u5e94\u5bf9\u53d8\u5316\u3002<\/p>\n 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\u4eca\u5929\uff0c\u8bbe\u8ba1\u548c\u5236\u9020\u5904\u7406\u5668\u5df2\u4e0d\u518d\u662f\u82f1\u7279\u5c14\u3001AMD\u6216\u4e09\u661f\u7535\u5b50\u7b49\u4e13\u95e8\u4f01\u4e1a\u7684\u4e13\u5229\u3002\u4efb\u4f55\u4eba\u90fd\u53ef\u4ee5\u4f7f\u7528\u9ad8\u5ea6\u5148\u8fdb\u7684\u8bbe\u8ba1\u81ea\u52a8\u5316\u5de5\u5177\u8fdb\u884c\u6709\u6548\u8bbe\u8ba1\uff0c\u5e76\u901a\u8fc7\u63d0\u4f9b\u5c16\u7aef\u52a0\u5de5\u7684\u4ee3\u5de5\u5382\u751f\u4ea7\u5177\u6709\u4f18\u5316\u529f\u80fd\u7684\u5b9a\u5236\u5904\u7406\u5668\u3002\u4e8b\u5b9e\u4e0a\uff0cApple\u5728iPhone\u7684\u5e94\u7528\u5904\u7406\u5668\uff08AP, Application Processors\uff09\u4e2d\u4f7f\u7528\u4e86\u81ea\u5df1\u8bbe\u8ba1\u7684\u82af\u7247\uff0c\u751a\u81f3\u4e3a\u8fc7\u53bb\u4f7f\u7528\u82f1\u7279\u5c14\u82af\u7247\u7684\u7535\u8111\u8bbe\u5907Mac\u8bbe\u8ba1\u4e86\u81ea\u5df1\u7684\u4e2d\u592e\u5904\u7406\u5668\uff08CPU\uff0cCentral Processing Unit\uff09\uff0c\u6781\u5927\u5730\u63d0\u9ad8\u4e86Mac\u7684\u6027\u80fd\u548c\u80fd\u6548\u3002<\/p>\n Apple M1\u82af\u7247\u7684\u6700\u9ad8\u6027\u80fd\u578b\u53f7\u662fM1 Max\uff0c\u5176\u9891\u7387\u6700\u9ad8\u53ef\u8fbe3.2GHz\u3002\u5b83\u6709570\u4ebf\u4e2a\u6676\u4f53\u7ba1\u548c10\u4e2a\u5185\u6838\uff0c\u4e0e\u82f1\u7279\u5c14\u6700\u65b0\u7684\u7b2c11\u4ee3i9\u5904\u7406\u5668\u76f8\u6bd4\uff0c\u5176\u6027\u80fd\u548c\u80fd\u6e90\u6548\u7387\u90fd\u8d85\u4e4e\u5bfb\u5e38\u5730\u597d\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u82f1\u7279\u5c14\u5904\u7406\u5668\u7684\u4e00\u4e2a\u5f31\u70b9\u662f\u7531\u4e8e\u4e0e\u8fc7\u5f80\u5904\u7406\u5668\u7684\u547d\u4ee4\u884c\u517c\u5bb9\u95ee\u9898\uff0c\u96be\u4ee5\u91c7\u7528\u4f18\u5316\u7684\u5904\u7406\u5668\u7ed3\u6784\u3002\u56e0\u6b64\uff0c\u4e3a\u4e13\u4e1a\u5e94\u7528\u5f00\u53d1\u4f18\u5316\u7684\u72ec\u7279\u5904\u7406\u5668\u7684\u8d8b\u52bf\u5728\u672a\u6765\u5c06\u7ee7\u7eed\u4e0b\u53bb\u3002<\/p>\n \u5bf9\u4e8e\u4e91\u670d\u52a1\u8fd0\u8425\u5546\u6765\u8bf4\uff0c\u9009\u62e9\u4f7f\u7528\u4e00\u822c\u7684\u5904\u7406\u5668\u8fd8\u662f\u9488\u5bf9\u67d0\u4e9bDNN\u5e94\u7528\u7684\u4e13\u7528\u5904\u7406\u5668\uff0c\u670d\u52a1\u8d28\u91cf\u4f1a\u5b58\u5728\u5de8\u5927\u7684\u5dee\u5f02\u3002\u7136\u800c\uff0c\u8bbe\u8ba1\u548c\u5f00\u53d1\u8fd9\u6837\u7684\u82af\u7247\u5c06\u9700\u8981\u5927\u91cf\u7684\u8d44\u91d1\u548c\u8d44\u6e90\uff0c\u8fd9\u610f\u5473\u7740\u53ea\u6709\u5c11\u6570\u5927\u578b\u4e91\u670d\u52a1\u8fd0\u8425\u5546\u53ef\u4ee5\u8003\u8651\u4ee5\u6536\u76ca\u8d85\u8fc7\u6210\u672c\u7684\u65b9\u5f0f\u5f00\u53d1AI\u82af\u7247\u3002\u4f34\u968f\u7740\u8fd9\u4e00\u8d8b\u52bf\uff0c\u8bb8\u591a\u4e13\u95e8\u4ece\u4e8b\u534a\u5bfc\u4f53\u8bbe\u8ba1\u7684\u72ec\u7acb\u516c\u53f8\u6b63\u5728\u5f00\u53d1\u6027\u80fd\u8d85\u8fc7\u82f1\u4f1f\u8fbeGPU\u7684\u7528\u4e8e\u4e91\u670d\u52a1\u7684\u901a\u7528AI\u82af\u7247\u3002\u7136\u800c\uff0c\u5f00\u53d1\u5177\u6709\u7ade\u4e89\u529b\u548c\u9ad8\u6548\u7684AI\u82af\u7247\uff0c\u9700\u8981\u83b7\u5f97\u4e91\u670d\u52a1\u8fd0\u8425\u5546\u7ba1\u7406\u670d\u52a1\u8fc7\u7a0b\u4e2d\u6536\u96c6\u7684\u5927\u91cf\u5de5\u4f5c\u8d1f\u8f7d\u7ec4\u5408\u6570\u636e\u3002\u56e0\u6b64\uff0cAI\u82af\u7247\u4e13\u4e1a\u7684\u65e0\u6676\u5706\u5382\u8bbe\u8ba1\u516c\u53f8\u5fc5\u987b\u4e0e\u4e91\u670d\u52a1\u63d0\u4f9b\u5546\u8fdb\u884c\u8054\u5408\u5f00\u53d1\u3002<\/p>\n * <\/sup>\u795e\u7ecf\u7f51\u7edc\uff08Neural Network\uff09\uff1a\u901a\u5e38\u79f0\u4e3a\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\uff0c\u662f\u53d7\u6784\u6210\u52a8\u7269\u5927\u8111\u7684\u751f\u7269\u795e\u7ecf\u7f51\u7edc\u542f\u53d1\u800c\u4ea7\u751f\u7684\u8ba1\u7b97\u7cfb\u7edf\u3002 \u90d1\u5fb7\u5747<\/strong>\u535a\u58eb \u4eba\u5de5\u667a\u80fd\uff08AI\uff0cartificial intelligence\uff09\u6280\u672f\u5728\u5f53\u4e0b\u7684\u5e94\u7528\u975e\u5e38\u5e7f\u6cdb\uff0c\u4ee5\u81f3\u4e8e\u6709\u4eba\u9884\u6d4b\uff0c\u4eba\u5de5 [\u2026]<\/p>\n","protected":false},"author":2,"featured_media":1560,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_migrated_source_id":7905,"footnotes":"","_members_access_role":[],"_members_access_error":""},"categories":[6],"tags":[23,88,285,1037,1038],"class_list":["post-1565","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-story","tag-ai","tag-88","tag-285","tag-1037","tag-1038"],"acf":[],"_links":{"self":[{"href":"https:\/\/news.skhynix.com\/cn\/wp-json\/wp\/v2\/posts\/1565","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/news.skhynix.com\/cn\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news.skhynix.com\/cn\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news.skhynix.com\/cn\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/news.skhynix.com\/cn\/wp-json\/wp\/v2\/comments?post=1565"}],"version-history":[{"count":3,"href":"https:\/\/news.skhynix.com\/cn\/wp-json\/wp\/v2\/posts\/1565\/revisions"}],"predecessor-version":[{"id":5800,"href":"https:\/\/news.skhynix.com\/cn\/wp-json\/wp\/v2\/posts\/1565\/revisions\/5800"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news.skhynix.com\/cn\/wp-json\/wp\/v2\/media\/1560"}],"wp:attachment":[{"href":"https:\/\/news.skhynix.com\/cn\/wp-json\/wp\/v2\/media?parent=1565"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news.skhynix.com\/cn\/wp-json\/wp\/v2\/categories?post=1565"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news.skhynix.com\/cn\/wp-json\/wp\/v2\/tags?post=1565"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"\"](\"https:\/\/d3kr8rj3cmzqzl.cloudfront.net\/wp-content\/uploads\/2026\/05\/29173800\/220224_SK-hynix_Neuron_in-our_brain_CHN_1.png\")
<\/p>\n![\"\"](\"https:\/\/d3kr8rj3cmzqzl.cloudfront.net\/wp-content\/uploads\/2026\/05\/29173803\/220224_SK_hynix_Neuron_in_our-brain_CHN_2.png\")
<\/p>\n![\"\"](\"https:\/\/d3kr8rj3cmzqzl.cloudfront.net\/wp-content\/uploads\/2026\/05\/29173806\/220224_SK_hynix_Neuron_in_our_brain_CHN_3.png\")
<\/p>\n\u4eba\u5de5\u667a\u80fd\u534a\u5bfc\u4f53<\/h3>\n
![\"\"](\"https:\/\/d3kr8rj3cmzqzl.cloudfront.net\/wp-content\/uploads\/2026\/05\/29173809\/220224_SK_hynix_Neuron_in_our_brain_CHN_4.png\")
<\/p>\n\u4e13\u7528AI\u534a\u5bfc\u4f53<\/h3>\n
\u8c37\u6b4cTPU* <\/sup><\/h3>\n
![\"\"](\"https:\/\/d3kr8rj3cmzqzl.cloudfront.net\/wp-content\/uploads\/2026\/05\/29172811\/SK_hynix_HBM3-DRAM_07.png\")
<\/p>\n\u82f1\u4f1f\u8fbe\u7684GPU* <\/sup><\/h3>\n
\u5b9a\u5236\u5316AI\u534a\u5bfc\u4f53<\/h3>\n
\n* <\/sup>\u91cf\u5b50\u8ba1\u7b97\uff08Quantum Computing\uff09\uff1a\u4e00\u79cd\u5229\u7528\u91cf\u5b50\u6001\u7684\u96c6\u4f53\u7279\u6027\uff08\u5982\u53e0\u52a0\u3001\u5e72\u6d89\u548c\u7ea0\u7f20\uff09\u6765\u8fdb\u884c\u8ba1\u7b97\u7684\u8ba1\u7b97\u65b9\u5f0f\u3002
\n* <\/sup>\u5e03\u5c14\u4ee3\u6570\uff08Boolean Algebra\uff09\uff1a\u4ee3\u6570\u7684\u4e00\u4e2a\u5206\u652f\uff0c\u5176\u4e2d\u53d8\u91cf\u7684\u503c\u662f\u771f\u503c\u771f\u548c\u5047\uff0c\u901a\u5e38\u5206\u522b\u8868\u793a\u4e3a1\u548c0\u3002
\n* <\/sup>XOR\uff08Exclusive or \u6216 Exclusive Disjunction\uff0c\u5373\u201c\u6392\u4ed6\u6027\u201d\u6216\u201c\u6392\u4ed6\u6027\u5206\u79bb\u201d\uff09\uff1a\u201c\u6392\u4ed6\u6027\u201d\u6216\u201c\u6392\u4ed6\u6027\u5206\u79bb\u201d\u662f\u4e00\u79cd\u903b\u8f91\u8fd0\u7b97\uff0c\u5f53\u4e14\u4ec5\u5f53\u5176\u53c2\u6570\u4e0d\u540c\u65f6\uff08\u4e00\u4e2a\u4e3a\u771f\uff0c\u53e6\u4e00\u4e2a\u4e3a\u5047\uff09\u624d\u4e3a\u771f\u3002
\n* <\/sup>\u5f20\u91cf\u5904\u7406\u5355\u5143\uff08TPU\uff0cTensor Processing Unit\uff09
\n* <\/sup>\u56fe\u5f62\u5904\u7406\u5355\u5143 (GPU, Graphics Processing Unit)<\/p>\n![\"\"](\"https:\/\/d3kr8rj3cmzqzl.cloudfront.net\/wp-content\/uploads\/2026\/05\/29173508\/Dong_kyoon_Jeong.png\")
<\/p>\n
\nProfessor
\n<\/span>Electrical & Computer Engineering
\nSeoul National University(SNU) College of Engineering<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"