{"id":59016,"date":"2025-04-27T17:55:34","date_gmt":"2025-04-27T09:55:34","guid":{"rendered":"https:\/\/swarma.org\/?p=59016"},"modified":"2025-04-27T17:55:34","modified_gmt":"2025-04-27T09:55:34","slug":"%e3%80%8aai-x-science%e5%8d%81%e5%a4%a7%e5%89%8d%e6%b2%bf%e8%a7%82%e5%af%9f%e3%80%8b%e5%8f%91%e5%b8%83%ef%bc%9a35%e4%b8%aa%e7%a0%94%e7%a9%b6%e5%89%8d%e6%b2%bf%ef%bc%8c%e5%bc%80%e5%90%af%e7%a7%91","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=59016","title":{"rendered":"\u300aAI X Science\u5341\u5927\u524d\u6cbf\u89c2\u5bdf\u300b\u53d1\u5e03\uff1a35\u4e2a\u7814\u7a76\u524d\u6cbf\uff0c\u5f00\u542f\u79d1\u5b66\u53d1\u73b0\u7684\u9ec4\u91d1\u65f6\u4ee3"},"content":{"rendered":"
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AI X Science\uff0c\u5373\u4eba\u5de5\u667a\u80fd\u4e0e\u79d1\u5b66\u7814\u7a76\u7684\u6df1\u5ea6\u878d\u5408\uff0c\u5177\u4f53\u5305\u62ec\u4e24\u65b9\u9762\uff1a\u5c06AI\u6280\u672f\u5e94\u7528\u4e8e\u9886\u57df\u5b66\u79d1\u7684\u65b0\u5174\u7814\u7a76\u65b9\u6cd5<\/span>\uff08AI for Science\uff09<\/span>\uff1b\u5c06\u9886\u57df\u5b66\u79d1\u77e5\u8bc6\u7528\u4e8eAI\u7b97\u6cd5\u548c\u67b6\u6784\u7684\u7406\u89e3\u548c\u6539\u8fdb\u5de5\u4f5c<\/span>\uff08Science for AI\uff09<\/span>\u3002<\/span><\/span><\/p>\n

2024\u5e74\u8bfa\u8d1d\u5c14\u7269\u7406\u5b66\u5956\u6388\u4e88\u7684\u662f\u5c06\u7269\u7406\u5b66\u7528\u4e8eAI\u7cfb\u7edf\u8bbe\u8ba1\u7684\u7814\u7a76\uff0c\u5373Science for AI\uff0c\u800c\u8bfa\u8d1d\u5c14\u5316\u5b66\u5956\u6388\u4e88\u7684\u662f\u4eba\u5de5\u667a\u80fd\u7b97\u6cd5\u7528\u4e8e\u89e3\u51b3\u5316\u5b66\u9886\u57df\u91cd\u8981\u95ee\u9898\u7684\u7814\u7a76\uff0c\u5373AI for Science\u3002<\/span><\/span><\/p>\n

AI for Science<\/span><\/span><\/h2>\n

\u968f\u7740\u6570\u636e\u7684\u5feb\u901f\u79ef\u7d2f\u548c\u6587\u732e\u7684\u7206\u70b8\u5f0f\u589e\u957f\uff0c\u4eba\u7c7b\u79d1\u5b66\u5bb6\u81ea\u8eab\u7684\u4fe1\u606f\u5904\u7406\u80fd\u529b\u5df2\u7ecf\u6210\u4e3a\u4e86\u5236\u7ea6\u67d0\u4e9b\u5b66\u79d1\u5feb\u901f\u53d1\u5c55\u7684\u74f6\u9888\u3002\u800c\u8d8a\u6765\u8d8a\u591a\u7684\u79d1\u5b66\u7814\u7a76\u9886\u57df\u5728\u9762\u5bf9\u590d\u6742\u95ee\u9898\u7684\u6311\u6218\u65f6\u96be\u4ee5\u5229\u7528\u4f20\u7edf\u7684\u6570\u5b66\u548c\u7269\u7406\u65b9\u6cd5\uff0c\u4f8b\u5982\u86cb\u767d\u8d28\u7ed3\u6784\u9884\u6d4b\u3001\u65b0\u6750\u6599\u7684\u8bbe\u8ba1\u3001\u590d\u6742\u6d41\u4f53\u7cfb\u7edf\u7684\u6a21\u62df\u7b49\u7b49\u3002<\/span><\/span><\/p>\n

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\u5df2\u6709\u7684AI for Science\u6848\u4f8b\u5305\u62ec\uff1a<\/span><\/span><\/p>\n

AlphaFold<\/span><\/span><\/h3>\n
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\u7528AlphaFold3\u9884\u6d4b\u7684\u7cbe\u51c6\u86cb\u767d\u8d28\u7ed3\u6784 | \u6765\u6e90\uff1aAbramson\uff0c J.\uff0c Adler\uff0c J.\uff0c Dunger\uff0c J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature <\/span><\/span><\/em><\/span>630<\/span><\/span><\/strong><\/em><\/span>\uff0c 493\u2013500 (2024).<\/span><\/span><\/em><\/span><\/span><\/p>\n

\u65a9\u83b72024\u5e74\u8bfa\u8d1d\u5c14\u5316\u5b66\u5956\u7684Baker\u3001Hassabis\u548cJumper\u7684\u7814\u7a76\u5de5\u4f5c\u5c31\u662f\u5c06\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u5e94\u7528\u4e8e\u86cb\u767d\u8d28\u7ed3\u6784\u9884\u6d4b\u4e0e\u8bbe\u8ba1\u8fd9\u4e00\u7ecf\u5178\u9886\u57df\u3002\u86cb\u767d\u8d28\u662f\u751f\u547d\u7684\u201c\u57fa\u7840\u5efa\u7b51\u5757\u201d\uff0c\u5b83\u4e0d\u4ec5\u53ef\u4ee5\u50ac\u5316\u751f\u5316\u53cd\u5e94\u3001\u8c03\u8282\u751f\u7406\u673a\u5236\uff0c\u8fd8\u53ef\u4ee5\u8c03\u63a7\u57fa\u56e0\u8868\u8fbe\uff0c\u8fd0\u8f93\u751f\u547d\u5fc5\u9700\u7269\u8d28\u4ee5\u53ca\u7528\u4e8e\u62b5\u6297\u75c5\u6bd2\u3001\u7ec6\u83cc\u5165\u4fb5\u7b49\u91cd\u8981\u529f\u80fd\u3002Hassabis\u4e0eJumper\u5f00\u53d1\u7684AlphaFold\u7cfb\u5217\u5de5\u4f5c\uff0c\u53ef\u4ee5\u7cbe\u51c6\u9884\u6d4b\u86cb\u767d\u8d28\u7ed3\u6784\uff0c\u51c6\u786e\u5ea6\u5df2\u7ecf\u63a5\u8fd1\u4e13\u5bb6\u6c34\u5e73\uff0c\u901f\u5ea6\u5219\u8fdc\u8d85\u4eba\u7c7b\u3002\u6700\u65b0\u7248\u672c\u7684AlphaFold\u5219\u53ef\u4ee5\u9884\u6d4b\u51e0\u4e4e\u6240\u6709\u5206\u5b50\u7c7b\u578b\u7684\u86cb\u767d\u8d28\u590d\u5408\u7269\u7ed3\u6784\u3002<\/span><\/span><\/p>\n

\u6c14\u8c61\u9884\u6d4b\u5927\u6a21\u578b<\/span><\/span><\/h3>\n
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GraphCast\uff1a\u7528\u4e8e\u66f4\u5feb\u901f\u3001\u66f4\u51c6\u786e\u7684\u5168\u7403\u5929\u6c14\u9884\u62a5\u7684\u4eba\u5de5\u667a\u80fd\u6a21\u578b | \u6765\u6e90\uff1aRemi Lam et al.\uff0c Learning skillful medium-range global weather forecasting.Science<\/span><\/span><\/em><\/span>382<\/span><\/span><\/strong><\/em><\/span>\uff0c1416-1421(2023)<\/span><\/span><\/em><\/span><\/span><\/p>\n

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AI\u53ef\u63a7\u6838\u805a\u53d8<\/span><\/span><\/h3>\n
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\u901a\u8fc7\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60\u63a7\u5236\u805a\u53d8\u7b49\u79bb\u5b50\u4f53\u4ee5\u907f\u514d\u6495\u88c2\u4e0d\u7a33\u5b9a\u6027\u7684\u6a21\u578b\u6846\u67b6 | \u6765\u6e90\uff1aSeo\uff0c J.\uff0c Kim\uff0c S.\uff0c Jalalvand\uff0c A. et al. Avoiding fusion plasma tearing instability with deep reinforcement learning. Nature <\/span><\/span><\/em><\/span>626<\/span><\/span><\/strong><\/em><\/span>\uff0c 746\u2013751 (2024)<\/span><\/span><\/em><\/span><\/span><\/p>\n

\u6838\u805a\u53d8\u662f\u4e00\u79cd\u6e05\u6d01\u3001\u5b89\u5168\u3001\u4fbf\u5229\u7684\u65b0\u578b\u80fd\u6e90\u3002\u4e0e\u5316\u77f3\u71c3\u6599\u76f8\u6bd4\uff0c\u805a\u53d8\u80fd\u7684\u4f7f\u7528\u53ef\u4ee5\u663e\u8457\u51cf\u5c11\u5bf9\u73af\u5883\u7684\u5f71\u54cd\uff0c\u6709\u52a9\u4e8e\u5e94\u5bf9\u6c14\u5019\u53d8\u5316\u3002\u6838\u805a\u53d8\u53cd\u5e94\u9700\u8981\u5728\u6781\u9ad8\u6e29\u5ea6\u548c\u538b\u529b\u4e0b\u8fdb\u884c\uff0c\u56e0\u6b64\u7b49\u79bb\u5b50\u4f53\u7684\u7a33\u5b9a\u6027\u662f\u5b9e\u73b0\u53ef\u63a7\u6838\u805a\u53d8\u7684\u5173\u952e\u3002AI\u6280\u672f\u53ef\u4ee5\u7528\u4e8e\u5b9e\u65f6\u76d1\u6d4b\u548c\u63a7\u5236\u7b49\u79bb\u5b50\u4f53\u72b6\u6001\uff0c\u9884\u6d4b\u4e0d\u7a33\u5b9a\u6027\u5e76\u53ca\u65f6\u8c03\u6574\u5b9e\u9a8c\u53c2\u6570\uff0c\u4ee5\u4fdd\u6301\u7b49\u79bb\u5b50\u4f53\u7684\u7a33\u5b9a\u30022024\u5e74\u521d\uff0c\u666e\u6797\u65af\u987f\u5927\u5b66\u548c\u666e\u6797\u65af\u987f\u7b49\u79bb\u5b50\u4f53\u7269\u7406\u5b9e\u9a8c\u5ba4\u7684\u7814\u7a76\u4eba\u5458\u5728\u53ef\u63a7\u6838\u805a\u53d8\u9886\u57df\u53d6\u5f97\u7a81\u7834\uff0c\u4ed6\u4eec\u53d1\u73b0\u4e86\u4e00\u79cd\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5229\u7528AI\u9884\u6d4b\u8fd9\u79cd\u6f5c\u5728\u7684\u4e0d\u7a33\u5b9a\u6027\uff0c\u5e76\u4e14\u5b9e\u65f6\u9632\u6b62\u5b9e\u9a8c\u4e2d\u65ad\u3002\u76f8\u5173\u7814\u7a76\u6210\u679c\u53d1\u8868\u5728\u4e862024\u5e742\u6708\u4efd\u7684Nature\u520a\u7269\u4e0a\u3002<\/span><\/span><\/p>\n

Science for AI<\/span><\/span><\/h2>\n

\u5373\u4f7f\u5df2\u83b7\u91cd\u5927\u7a81\u7834\uff0c\u4f46AI\u6280\u672f\u4ecd\u7136\u9762\u4e34\u6570\u636e\u7a00\u7f3a\u3001\u7b97\u529b\u7a00\u7f3a\u3001\u8017\u80fd\u8fc7\u5927\u3001\u89e3\u91ca\u6027\u8f83\u5dee\u7b49\u91cd\u5927\u6311\u6218\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u4eba\u7c7b\u79d1\u5b66\u5bb6\u5df2\u7ecf\u79ef\u7d2f\u4e86\u5404\u4e2a\u5b66\u79d1\u9886\u57df\u7684\u6d77\u91cf\u77e5\u8bc6\u3002\u5982\u4f55\u5c06\u79d1\u5b66\u5bb6\u7684\u7ecf\u9a8c\u548c\u77e5\u8bc6\uff0c\u751a\u81f3\u4e00\u4e9b\u4e0d\u6210\u578b\u7684\u542f\u53d1\u5f0f\u60f3\u6cd5\uff0c\u8f6c\u5316\u4e3aAI\u7cfb\u7edf\u7684\u80fd\u529b\uff0c\u8ba9AI\u7cfb\u7edf\u4e0e\u4eba\u7c7b\u4e13\u5bb6\u80fd\u591f\u66f4\u597d\u5730\u4e92\u52a8\u3001\u534f\u4f5c\uff0c\u6784\u6210\u4e86Science for AI\u7814\u7a76\u9886\u57df\u7684\u91cd\u5927\u6311\u6218\u3002<\/span><\/span><\/p>\n

\u76ee\u524d\uff0c\u5df2\u6709\u7684Science for AI\u6848\u4f8b\u5305\u62ec\uff1a<\/span><\/span><\/p>\n

Hopfield\u7f51\u7edc\u4e0e\u53d7\u9650Boltzmann\u673a<\/span><\/span><\/h3>\n\n\n\n
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ISING\u6a21\u578b\u3001Hopfield\u7f51\u7edc\u4ee5\u53ca\u53d7\u9650Boltzmann\u673a | \u6765\u6e90\uff1ahttps:\/\/www.nobelprize.org\/prizes\/physics\/2024\/press-release\/<\/span><\/span><\/em><\/span><\/p>\n

\u672c\u6b21\u8bfa\u8d1d\u5c14\u7269\u7406\u5b66\u5956\u6388\u4e88\u7684\u4e24\u540d\u5b66\u8005\uff0cHopfield\u548cHinton\u6b63\u662f\u5c06\u7edf\u8ba1\u7269\u7406\u4e2d\u7684\u7ecf\u5178\u6a21\u578b\u7684\u53d8\u79cd\u5e94\u7528\u4e8e\u795e\u7ecf\u7f51\u7edc\u67b6\u6784\u8bbe\u8ba1\uff0c\u4ece\u800c\u5927\u5927\u63d0\u5347\u4e86\u673a\u5668\u5b66\u4e60\u95ee\u9898\u7684\u6c42\u89e3\u6548\u7387\uff0c\u4e3a\u4eba\u7c7b\u8fdb\u5165\u6df1\u5ea6\u5b66\u4e60\u65f6\u4ee3\u5f00\u8f9f\u4e86\u5148\u6cb3\u3002Hopfield\u6240\u63d0\u51fa\u7684Hopfield\u7f51\u7edc\u6a21\u578b\u662f\u5728\u7edf\u8ba1\u7269\u7406\u7684ISING\u6a21\u578b\u7684\u57fa\u7840\u4e0a\u6539\u8fdb\u800c\u5f97\u5230\u7684\uff0c\u5b83\u53ef\u4ee5\u901a\u8fc7\u8bad\u7ec3\u5b66\u4e60\u8bb0\u5fc6\u4e00\u4e9b\u56fa\u5b9a\u7684\u6a21\u5f0f\uff0c\u5e76\u5728\u5e94\u7528\u9636\u6bb5\u6fc0\u6d3b\u3001\u56de\u5fc6\u8d77\u8fd9\u4e9b\u6a21\u5f0f\u3002\u5728Hopfield\u7f51\u7edc\u6a21\u578b\u7684\u57fa\u7840\u4e0a\uff0cHinton\u6240\u63d0\u51fa\u7684\u53d7\u9650Boltzmann\u673a\u6a21\u578b\u5219\u53ef\u4ee5\u901a\u8fc7\u5927\u91cf\u6570\u636e\u7684\u8bad\u7ec3\uff0c\u5b66\u4e60\u6570\u636e\u7684\u538b\u7f29\u8868\u5f81\uff0c\u5e76\u53ef\u4ee5\u901a\u8fc7\u62fc\u63a5\u591a\u5c42\u7684\u65b9\u5f0f\uff0c\u83b7\u5f97\u6570\u636e\u5728\u591a\u4e2a\u5c3a\u5ea6\u4e0a\u7684\u6df1\u5c42\u6b21\u8868\u5f81\u3002\u8fd9\u4e9b\u8868\u5f81\u53ef\u4ee5\u8fdb\u4e00\u6b65\u7528\u6765\u5206\u7c7b\u6216\u9884\u6d4b\u3002<\/span><\/span><\/p>\n

\u89c6\u89c9\u67b6\u6784\u542f\u53d1\u7684CNN\u7f51\u7edc<\/span><\/span><\/h3>\n
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\u7528\u4e8e\u56fe\u50cf\u8bc6\u522b\u7684\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u67b6\u6784 | \u6765\u6e90\uff1aHoeser\uff0c T.; Kuenzer\uff0c C. Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends. Remote Sens. 2020\uff0c 12\uff0c 1667.<\/span><\/span><\/em><\/span><\/p>\n

\u5bf9\u771f\u5b9e\u751f\u7269\u795e\u7ecf\u7f51\u7edc\u7ed3\u6784\u7684\u7814\u7a76\u6709\u52a9\u4e8e\u4eba\u4eec\u63d0\u51fa\u66f4\u5148\u8fdb\u7684\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u67b6\u6784\u3002\u4f8b\u5982\uff0c\u5377\u79ef\u795e\u7ecf\u7f51\u7edc<\/span>\uff08CNN\uff09<\/span>\u7684\u63d0\u51fa\u5c31\u53d7\u5230\u4e86\u751f\u7269\u795e\u7ecf\u7f51\u7edc\u7814\u7a76\u7684\u542f\u53d1\uff0c\u5c24\u5176\u662f\u5bf9\u89c6\u89c9\u7cfb\u7edf\u7684\u7406\u89e3\u3002\u65e9\u572820\u4e16\u7eaa60\u5e74\u4ee3\uff0c\u795e\u7ecf\u79d1\u5b66\u5bb6David Hubel\u548cTorsten Wiesel\u901a\u8fc7\u5bf9\u732b\u7684\u89c6\u89c9\u76ae\u5c42\u8fdb\u884c\u5b9e\u9a8c\uff0c\u53d1\u73b0\u4e86\u89c6\u89c9\u795e\u7ecf\u5143\u7684\u4e0d\u540c\u53cd\u5e94\u7279\u6027\u3002\u4ed6\u4eec\u89c2\u5bdf\u5230\uff0c\u67d0\u4e9b\u795e\u7ecf\u5143\u5bf9\u7279\u5b9a\u65b9\u5411\u7684\u8fb9\u7f18\u6216\u56fe\u6848\u8868\u73b0\u51fa\u5f3a\u70c8\u7684\u53cd\u5e94\uff0c\u79f0\u4e3a\u7b80\u5355\u7ec6\u80de\uff1b\u800c\u53e6\u4e00\u4e9b\u795e\u7ecf\u5143\u5219\u5bf9\u66f4\u590d\u6742\u7684\u89c6\u89c9\u523a\u6fc0<\/span>\uff08\u5982\u5f62\u72b6\u548c\u8fd0\u52a8\uff09<\/span>\u6709\u53cd\u5e94\uff0c\u79f0\u4e3a\u590d\u6742\u7ec6\u80de\u3002\u8fd9\u79cd\u5bf9\u89c6\u89c9\u795e\u7ecf\u5143\u529f\u80fd\u7684\u7406\u89e3\u4e3aCNN\u7684\u8bbe\u8ba1\u63d0\u4f9b\u4e86\u91cd\u8981\u7684\u7406\u8bba\u57fa\u7840\u3002CNN\u6a21\u62df\u4e86\u751f\u7269\u89c6\u89c9\u7cfb\u7edf\u4e2d\u7684\u5c42\u6b21\u7ed3\u6784\uff0c\u901a\u8fc7\u591a\u5c42\u7f51\u7edc\u9010\u6b65\u63d0\u53d6\u7279\u5f81\u3002\u6700\u521d\u7684\u5377\u79ef\u5c42\u76f8\u5f53\u4e8e\u7b80\u5355\u7ec6\u80de\uff0c\u8d1f\u8d23\u68c0\u6d4b\u56fe\u50cf\u4e2d\u7684\u57fa\u672c\u7279\u5f81\uff0c\u5982\u8fb9\u7f18\u548c\u89d2\u843d\uff1b\u800c\u540e\u7eed\u7684\u5c42\u5219\u7c7b\u4f3c\u4e8e\u590d\u6742\u7ec6\u80de\uff0c\u80fd\u591f\u8bc6\u522b\u66f4\u9ad8\u5c42\u6b21\u7684\u7279\u5f81\uff0c\u5982\u5f62\u72b6\u548c\u7269\u4f53\u3002\u6b64\u5916\uff0cCNN\u4e2d\u7684\u5377\u79ef\u64cd\u4f5c\u548c\u6c60\u5316\u64cd\u4f5c\u4e5f\u53d7\u5230\u751f\u7269\u795e\u7ecf\u7f51\u7edc\u7684\u542f\u53d1\u3002\u5377\u79ef\u64cd\u4f5c\u901a\u8fc7\u5c40\u90e8\u611f\u53d7\u91ce\u7684\u65b9\u5f0f\uff0c\u6a21\u62df\u4e86\u751f\u7269\u795e\u7ecf\u5143\u5bf9\u5c40\u90e8\u533a\u57df\u7684\u654f\u611f\u6027\uff0c\u800c\u6c60\u5316\u64cd\u4f5c\u5219\u901a\u8fc7\u4e0b\u91c7\u6837\u51cf\u5c11\u7279\u5f81\u56fe\u7684\u7ef4\u5ea6\uff0c\u589e\u5f3a\u4e86\u6a21\u578b\u5bf9\u4f4d\u7f6e\u53d8\u5316\u7684\u9c81\u68d2\u6027\u3002\u8fd9\u79cd\u8bbe\u8ba1\u4e0d\u4ec5\u63d0\u9ad8\u4e86\u8ba1\u7b97\u6548\u7387\uff0c\u8fd8\u4f7f\u5f97\u7f51\u7edc\u80fd\u591f\u66f4\u597d\u5730\u5904\u7406\u56fe\u50cf\u4e2d\u7684\u53d8\u6362\u548c\u626d\u66f2\u3002<\/span><\/span><\/p>\n

\u7b49\u53d8\u795e\u7ecf\u7f51\u7edc<\/span><\/span><\/h3>\n
<\/section>\n

\u7b49\u53d8\u795e\u7ecf\u7f51\u7edc\u7f51\u7edc\u5de5\u4f5c\u539f\u7406\u793a\u610f\u56fe | \u6765\u6e90\uff1aV\u0131\u0301ctor Garcia Satorras\uff0c Emiel Hoogeboom\uff0c Max Welling <\/span><\/span><\/em><\/span><\/p>\n

Proceedings of the 38th International Conference on Machine Learning\uff0c PMLR 139:9323-9332\uff0c 2021.<\/span><\/span><\/em><\/span><\/p>\n

\u5728\u5206\u5b50\u5efa\u6a21\u3001\u86cb\u767d\u8d28\u9884\u6d4b\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u673a\u5668\u4eba\u7b49\u9886\u57df\u4e2d\uff0c\u5f88\u591a\u6570\u636e\u90fd\u5177\u5907\u51e0\u4f55\u7a7a\u95f4\u4e0a\u7684\u5bf9\u79f0\u6027\uff0c\u5982\u4e00\u7ec4\u70b9\u4e91\u5728\u65cb\u8f6c\u3001\u5e73\u79fb\u6216\u7f29\u653e\u53d8\u6362\u4e0b\u4f1a\u4fdd\u6301\u4e00\u5b9a\u7684\u4e0d\u53d8\u6027\u3002\u5982\u679c\u7528\u666e\u901a\u7684\u795e\u7ecf\u7f51\u7edc\u6280\u672f\u5904\u7406\u6570\u636e\u5c31\u5f88\u96be\u6355\u83b7\u5230\u8fd9\u79cd\u51e0\u4f55\u5bf9\u79f0\u6027\u3002\u4e8e\u662f\uff0c\u4eba\u4eec\u63d0\u51fa\u4e86\u7b49\u53d8\u795e\u7ecf\u7f51\u7edc<\/span>\uff08Equivariant Neural Networks\uff0cEGNN\uff09<\/span>\u6280\u672f\uff0c\u53ef\u4ee5\u5c06\u51e0\u4f55\u4e0a\u7684\u5bf9\u79f0\u6027\u4f5c\u4e3a\u4e00\u4e2a\u5148\u9a8c\u504f\u7f6e\u7f16\u7801\u8fdb\u795e\u7ecf\u7f51\u7edc\u7684\u67b6\u6784\u4e2d\uff0c\u4f7f\u5f97\u7f51\u7edc\u5728\u8f93\u5165\u7ecf\u8fc7\u67d0\u79cd\u53d8\u6362\u65f6\uff0c\u8f93\u51fa\u80fd\u591f\u4ee5\u76f8\u5e94\u7684\u65b9\u5f0f\u53d8\u5316\uff0c\u4ece\u800c\u4fdd\u6301\u5bf9\u79f0\u6027\u548c\u4e0d\u53d8\u6027\u3002\u7b49\u53d8\u795e\u7ecf\u7f51\u7edc\u5728\u5efa\u6a21\u5206\u5b50\u7ed3\u6784\u3001\u6a21\u62df\u591a\u4f53\u7269\u7406\u7cfb\u7edf\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u673a\u5668\u4eba\u7b49\u9886\u57df\u5177\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\u573a\u666f\uff0c\u662f\u5c06\u51e0\u4f55\u5b66\u3001\u7fa4\u8bba\u548c\u521a\u4f53\u8fd0\u52a8\u7b49\u6570\u5b66\u3001\u7269\u7406\u5b66\u77e5\u8bc6\u5e94\u7528\u4e8e\u795e\u7ecf\u7f51\u7edc\u8bbe\u8ba1\u7684\u5178\u578b\u6848\u4f8b\u3002<\/span><\/span><\/p>\n

\u5c3d\u7ba1\u521a\u521a\u8d77\u6b65\uff0c\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u7814\u7a76\u7684\u6df1\u5ea6\u878d\u5408\u5df2\u5448\u73b0\u51fa\u201c\u4e95\u55b7\u5f0f\u201d\u589e\u957f\uff1a\u4e0d\u540c\u9886\u57df\u7684\u79d1\u5b66\u5bb6\u7eb7\u7eb7\u5c06AI\u878d\u5165\u81ea\u5df1\u7684\u7814\u7a76\uff0c\u540c\u65f6\u79d1\u5b66\u9886\u57df\u7684\u7814\u7a76\u8005\u4e5f\u5728\u5173\u6ce8\u4eba\u5de5\u667a\u80fd\u53d1\u5c55\uff0c\u529b\u6c42\u7406\u89e3\u5176\u5de5\u4f5c\u539f\u7406\uff0c\u4ee5\u671f\u5b9e\u73b0\u66f4\u597d\u7684\u6539\u8fdb\u3002\u4e3a\u4e86\u68b3\u7406\u8fd9\u4e00\u5feb\u901f\u53d1\u5c55\u7684\u5168\u65b0\u9886\u57df\uff0c\u4e0a\u6d77\u79d1\u5b66\u667a\u80fd\u7814\u7a76\u9662\u3001\u96c6\u667a\u79d1\u5b66\u7814\u7a76\u4e2d\u5fc3\u548c\u963f\u91cc\u4e91\u5171\u540c\u53d1\u8d77\u4e86\u201cAI X Science\u5341\u5927\u524d\u6cbf\u89c2\u5bdf\u201d\u9879\u76ee\uff0c\u5e0c\u671b\u80fd\u591f\u628a\u8109\u548c\u63d0\u70bc\u8fd9\u4e00\u65b0\u5174\u9886\u57df\u7684\u6700\u65b0\u53d1\u5c55\u52a8\u6001\u3002<\/span><\/span><\/p>\n

\u5728\u4e0e\u4e0a\u6d77\u79d1\u5b66\u667a\u80fd\u7814\u7a76\u9662\u3001\u590d\u65e6\u5927\u5b66\u548c\u96c6\u667a\u4ff1\u4e50\u90e8\u793e\u533a\u4e2d\u7684\u4ece\u4e8b\u524d\u6cbf\u7814\u7a76\u7684\u5b66\u8005\u6df1\u5ea6\u8bbf\u8c08\u57fa\u7840\u4e0a\uff0c\u6211\u4eec\u505a\u4e86\u5927\u91cf\u7684\u6587\u732e\u68b3\u7406\uff0c\u5e76\u6700\u7ec8\u51dd\u7ec3\u4e86\u201cAI X Science\u5341\u5927\u524d\u6cbf\u89c2\u5bdf\u201d\u7684\u4e09\u4e2a\u7ef4\u5ea6\u548c\u5341\u4e2a\u5177\u4f53\u65b9\u5411\u3002\u4e09\u4e2a\u7ef4\u5ea6\u5305\u62ec\uff1aAI for Science\u3001Science for AI\u548c\u57fa\u7840\u8bbe\u65bd\uff0c\u5176\u4e2d\uff0cAI for Science\u7684\u524d\u6cbf\u65b9\u5411\u5305\u62ec\u57fa\u4e8eLLM\u7684\u79d1\u5b66\u7814\u7a76\u3001\u5782\u76f4\u9886\u57df\u79d1\u5b66\u5927\u6a21\u578b\u3001\u878d\u5165\u5148\u9a8c\u77e5\u8bc6\u7684AI\u6a21\u578b\u3001AI\u79d1\u5b66\u5bb6\u3001\u590d\u6742\u4e16\u754c\u7684\u591a\u667a\u80fd\u4f53\u5efa\u6a21\uff0c\u4ee5\u53caAI\u4eff\u771f\u4e0e\u7cfb\u7edf\u6a21\u62df\uff1bScience for AI\u7684\u524d\u6cbf\u65b9\u5411\u5219\u8986\u76d6\u4e86\u7269\u7406\u4e16\u754c\u7684\u7b2c\u4e00\u6027\u539f\u7406\u548c\u79d1\u5b66\u542f\u53d1\u7684AI\u65b0\u67b6\u6784\uff1b\u57fa\u7840\u8bbe\u65bd\u524d\u6cbf\u65b9\u5411\u5305\u62ec\u5408\u6210\u6570\u636e\u548c\u6570\u636e\u57fa\u7840\u8bbe\u65bd\u3001\u65b0\u578b\u667a\u80fd\u8ba1\u7b97\u3002\u5728\u5341\u4e2a\u5177\u4f53\u65b9\u5411\u4e0a\uff0c\u6211\u4eec\u68b3\u7406\u51fa\u5171\u8ba135\u4e2a\u7814\u7a76\u524d\u6cbf\u3002\u9700\u8981\u6307\u51fa\u7684\u662f\uff1a\u8fd9\u5341\u4e2a\u65b9\u5411\u7684\u5177\u4f53\u7814\u7a76\u6848\u4f8b\u672a\u5fc5\u90fd\u662f\u5171\u8bc6\u7684\u6743\u5a01\u6210\u679c\uff0c\u4f46\u5728\u79d1\u5b66\u95ee\u9898\u8bbe\u5b9a\u3001\u65b9\u6cd5\u8bba\u5efa\u6784\u3001\u7cbe\u5ea6\u548c\u6548\u7387\u7684\u63d0\u5347\u7b49\u65b9\u9762\uff0c\u8fd9\u4e9b\u7814\u7a76\u4e0d\u4ec5\u6548\u679c\u663e\u8457\uff0c\u4e14\u4ee4\u4eba\u8033\u76ee\u4e00\u65b0\u3002\u5c55\u671b\u672a\u6765\uff0cAI X Science\u5927\u5e55\u5df2\u542f\uff0c\u6b63\u5982DeepMind\u57282024\u5e7411\u6708\u53d1\u5e03\u7684\u7814\u7a76\u62a5\u544a\u6240\u9884\u89c1\uff0c\u4e00\u4e2a\u79d1\u5b66\u53d1\u73b0\u7684\u9ec4\u91d1\u65f6\u4ee3\u6b63\u5728\u5230\u6765\u3002<\/span><\/span><\/p>\n

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AI X Science\u5341\u5927\u524d\u6cbf\u89c2\u5bdf<\/span><\/span><\/p>\n

\u300aAI X Science\u5341\u5927\u524d\u6cbf\u89c2\u5bdf\u300b\u7684\u5177\u4f53\u5185\u5bb9\uff0c\u8bf7\u626b\u63cf\u4e8c\u7ef4\u7801\u4e0b\u8f7d\u62a5\u544a\u5168\u6587\uff0c\u5e76\u4e14\u96c6\u667a\u4ff1\u4e50\u90e8\u516c\u4f17\u53f7\u4e5f\u4f1a\u7ee7\u7eed\u53d1\u5e03\u5404\u7ae0\u8282\u8be6\u7ec6\u5185\u5bb9\u3002<\/span><\/span><\/p>\n

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\u626b\u63cf\u4e8c\u7ef4\u7801 \u4e0b\u8f7d\u5b8c\u6574\u62a5\u544a<\/span><\/span><\/strong><\/p>\n


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\u7279\u6b8a\u6311\u6218<\/span><\/span><\/h2>\n

\u901a\u89c2\u5168\u5c40\uff0cAI X Science\u5c1a\u5904\u8d77\u6b65\u9636\u6bb5\uff0c\u4f46\u5176\u53d1\u5c55\u901f\u5ea6\u5374\u975e\u5e38\u8fc5\u901f\u3002\u540c\u65f6\uff0c\u8fd9\u4e00\u9886\u57df\u867d\u7136\u53d1\u5c55\u8fc5\u731b\uff0c\u4f46\u4e5f\u5b58\u5728\u7740\u4e25\u91cd\u7684\u6311\u6218\u5e76\u8574\u542b\u7740\u5de8\u5927\u7684\u673a\u9047\u3002\u4e0e\u4e00\u822c\u7684AI\u7814\u7a76\u9886\u57df\u4e0d\u540c\uff0c\u6211\u4eec\u8ba4\u4e3a\uff0cAI X Science\u5728\u672a\u6765\u53ef\u80fd\u9700\u8981\u9762\u5bf9\u4e24\u5927\u7279\u6b8a\u7684\u6311\u6218\uff1a<\/span><\/span><\/p>\n

Science for AI\uff1aAI\u5982\u4f55\u4e0e\u4eba\u7c7b\u5171\u4eab\u77e5\u8bc6<\/span><\/span><\/h3>\n

\u8fd9\u65e2\u5305\u62ec\u5982\u4f55\u5c06\u4e13\u5bb6\u7684\u77e5\u8bc6\u878d\u5165AI\u7cfb\u7edf\uff0c\u4e5f\u5305\u62ec\u5982\u4f55\u63d0\u9ad8AI\u7cfb\u7edf\u7684\u53ef\u89e3\u91ca\u6027\u3002<\/span><\/span><\/p>\n

\u76ee\u524d\u5df2\u77e5\u7684\u5927\u91cfAI\u7cfb\u7edf\u67b6\u6784\u4e0a\u9762\u7684\u91cc\u7a0b\u7891\u5f0f\u8fdb\u5c55\uff0c\u5f80\u5f80\u90fd\u4f34\u968f\u7740\u4eba\u7c7b\u5c06\u4e00\u5927\u7c7b\u5148\u9a8c\u77e5\u8bc6\u878d\u5165\u5230\u4e86AI\u4f53\u7cfb\u67b6\u6784\u7684\u8bbe\u8ba1\u4e4b\u4e2d\u3002\u4f8b\u5982\u5377\u79ef\u795e\u7ecf\u7f51\u7edc<\/span>\uff08CNN\uff09<\/span>\u7684\u67b6\u6784\u8bbe\u8ba1\u5c31\u662f\u878d\u5165\u4e86\u7a7a\u95f4\u5e73\u79fb\u5bf9\u79f0\u6027\u7684\u8003\u8651\uff1b\u57fa\u4e8e\u6269\u6563\u7684\u751f\u6210\u5f0f\u6a21\u578b\uff0c\u5219\u662f\u7531\u6269\u6563\u7269\u7406\u8fc7\u7a0b\u8f6c\u53d8\u800c\u6765\u7684\u4e00\u79cd\u5168\u65b0\u67b6\u6784\u3002\u77e5\u8bc6\u56fe\u8c31\u3001\u5411\u91cf\u6570\u636e\u5e93\u7b49\u6280\u672f\u5219\u5c06\u4eba\u7c7b\u77e5\u8bc6\u8f6c\u53d8\u4e3a\u4e00\u79cd\u5916\u90e8\u6a21\u5757\uff0c\u4ece\u800c\u88abAI\u7cfb\u7edf\u6240\u5e94\u7528\u3002\u7136\u800c\uff0c\u8fd9\u4e9b\u8fdb\u5c55\u53ea\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u89e3\u51b3\u4e86\u5171\u4eab\u4eba\u7c7b\u4e13\u5bb6\u77e5\u8bc6\u7684\u95ee\u9898\uff0c\u5982\u4f55\u66f4\u597d\u5730\u5c06\u4e13\u5bb6\u77e5\u8bc6\u8f6c\u53d8\u4e3aAI\u7cfb\u7edf\u53ef\u7528\u7684\u6a21\u5757\u3001\u67b6\u6784\u6216\u5916\u90e8\u77e5\u8bc6\u4ecd\u7136\u662f\u672a\u6765\u7684\u91cd\u8981\u6311\u6218\u4e4b\u4e00\u3002<\/span><\/span><\/p>\n

\u5176\u6b21\uff0c\u968f\u7740AI\u6a21\u578b\u7684\u89c4\u6a21\u8d8a\u6765\u8d8a\u5927\uff0c\u8fd9\u4e9b\u5927\u6a21\u578b\u7684\u5de5\u4f5c\u673a\u7406\u5c06\u4f1a\u53d8\u5f97\u8d8a\u6765\u8d8a\u4e0d\u900f\u660e\uff0c\u7279\u522b\u662f\u5927\u6a21\u578b\u6d8c\u73b0\u73b0\u8c61\u7684\u5b58\u5728\uff0c\u4f7f\u5f97\u6a21\u578b\u80fd\u529b\u7684\u63d0\u5347\u53d8\u5f97\u6251\u6714\u8ff7\u79bb\u3002\u56e0\u6b64\uff0c\u5982\u4f55\u5c06AI\u5927\u6a21\u578b\u5b66\u4e60\u5230\u7684\u77e5\u8bc6\u66f4\u597d\u5730\u540c\u6b65\u7ed9\u4eba\u7c7b\uff0c\u751a\u81f3\u4e8e\u627e\u5230AI\u5927\u6a21\u578b\u8fd0\u4f5c\u7684\u57fa\u672c\u539f\u7406\uff0c\u5219\u662f\u672a\u6765\u6709\u5f85\u89e3\u51b3\u7684\u53e6\u4e00\u91cd\u5927\u6311\u6218\u3002<\/span><\/span><\/p>\n

\u6211\u4eec\u8ba4\u4e3a\u8fd9\u4e24\u4e2a\u65b9\u9762\u7684\u6311\u6218\u5c06\u6210\u4e3a\u672a\u6765Science for AI\u7814\u7a76\u7684\u91cd\u8981\u65b9\u5411\u3002<\/span><\/span><\/p>\n

AI for Science\uff1aAI\u5982\u4f55\u5177\u5907\u5b9e\u9a8c\u601d\u7ef4<\/span><\/span><\/h3>\n

\u7eb5\u89c2\u4eba\u7c7b\u6570\u767e\u5e74\u7684\u79d1\u5b66\u6d3b\u52a8\uff0c\u505a\u5b9e\u9a8c\u662f\u79d1\u5b66\u7814\u7a76\u6d3b\u52a8\u4e2d\u4e0d\u53ef\u6216\u7f3a\u7684\u91cd\u8981\u7ec4\u6210\u90e8\u5206\u3002\u5982\u4f55\u8bbe\u8ba1\u5de7\u5999\u7684\u5b9e\u9a8c\uff0c\u4ece\u800c\u7528\u6700\u5c0f\u6210\u672c\u83b7\u53d6\u6700\u5173\u952e\u4fe1\u606f\uff0c\u662f\u4e00\u79cd\u4e0d\u540c\u4e8e\u88ab\u52a8\u5b66\u4e60\u3001\u6f14\u7ece\u548c\u63a8\u7406\u7684\u5168\u65b0\u7684\u601d\u7ef4\u65b9\u5f0f\u2014\u2014\u5373\u5b9e\u9a8c\u601d\u7ef4\u3002<\/span><\/span><\/p>\n

\u7136\u800c\uff0c\u76ee\u524d\u7684\u79d1\u5b66\u667a\u80fd\u7814\u7a76\u7edd\u5927\u90e8\u5206\u90fd\u96c6\u4e2d\u5728\u5982\u4f55\u8ba9AI\u7cfb\u7edf\u5177\u5907\u4eba\u7c7b\u4e00\u6837\u7684\u903b\u8f91\u601d\u7ef4\u548c\u57fa\u4e8e\u88ab\u52a8\u6570\u636e\u7684\u5f52\u7eb3\u601d\u7ef4\u6a21\u5f0f\uff0c\u5374\u76f8\u5bf9\u7f3a\u4e4f\u57fa\u4e8e\u5e72\u9884\u6570\u636e\u7684\u53cd\u4e8b\u5b9e\u63a8\u7406\u80fd\u529b\uff0c\u4ee5\u53ca\u4e0e\u771f\u5b9e\u4e16\u754c\u4e92\u52a8\u5e76\u4e3b\u52a8\u83b7\u5f97\u6570\u636e\u7684\u80fd\u529b\u3002\u4e4b\u6240\u4ee5\u51fa\u73b0\u8fd9\u4e00\u95ee\u9898\uff0c\u90e8\u5206\u539f\u56e0\u5728\u4e8e\u76ee\u524d\u7684AI\u7cfb\u7edf\u7684\u72af\u9519\u8bef\u6210\u672c\u8fc7\u9ad8\uff0c\u56e0\u6b64\u5c1a\u96be\u4ee5\u5177\u5907\u4e0e\u771f\u5b9e\u4e16\u754c\u4e92\u52a8\u7684\u80fd\u529b\u3002\u7279\u522b\u662f\uff0c\u7531\u4e8eAI\u7cfb\u7edf\u7684\u4e0d\u53ef\u89e3\u91ca\u3001\u4e0d\u900f\u660e\u6027\uff0c\u4eba\u7c7b\u96be\u4ee5\u4fe1\u4efbAI\u7cfb\u7edf\u81ea\u884c\u4e0e\u771f\u5b9e\u4e16\u754c\u4e92\u52a8\u3002\u8fd9\u4e00\u80fd\u529b\u7684\u7f3a\u4e4f\u624d\u662f\u5bfc\u81f4\u6570\u636e\u7a00\u7f3a\u7684\u672c\u8d28\uff0c\u4e5f\u5c06\u5927\u5927\u9650\u5236AI\u79d1\u5b66\u5bb6\u8fbe\u5230\u4eba\u7c7b\u79d1\u5b66\u5bb6\u7684\u6c34\u5e73\u3002<\/span><\/span><\/p>\n

\u56e0\u6b64\uff0c\u6211\u4eec\u8ba4\u4e3a\uff0c\u672a\u6765AI for Science\u7814\u7a76\u7684\u4e00\u5927\u6311\u6218\u5c06\u662f\u5982\u4f55\u5de7\u5999\u5730\u8bbe\u8ba1\u5b9e\u9a8c\uff0c\u81ea\u4e3b\u4ece\u4e16\u754c\u83b7\u53d6\u65b0\u7684\u6570\u636e\uff0c\u4ee5\u4fc3\u8fdbAI\u7cfb\u7edf\u7684\u5b66\u4e60\uff0c\u4ece\u800c\u66f4\u6709\u6548\u7684\u5b8c\u6210\u5b66\u4e60\u4efb\u52a1\u3002<\/span><\/span><\/p>\n

\u79d1\u5b66\u4e16\u754c\u6a21\u578b\u6846\u67b6<\/span><\/span><\/h2>\n

\u4e3a\u4e86\u5e94\u5bf9\u8fd9\u4e24\u5927\u7279\u6b8a\u6311\u6218\uff0c\u6211\u4eec\u5c1d\u8bd5\u63d0\u51fa\u4e00\u4e2a\u79d1\u5b66\u4e16\u754c\u6a21\u578b\u6846\u67b6\uff1a<\/span><\/span><\/p>\n

<\/section>\n

\u79d1\u5b66\u4e16\u754c\u6a21\u578b\u6846\u67b6<\/span><\/span><\/em><\/span><\/p>\n

\u8be5\u6846\u67b6\u5305\u542b\u4e86\u4e24\u5927\u667a\u80fd\u4e3b\u4f53\u548c\u4e24\u4e2a\u4ea4\u4e92\u754c\u9762\u3002\u4e24\u5927\u667a\u80fd\u4e3b\u4f53\u5305\u62ec\uff1a\u6570\u636e\u9a71\u52a8\u4e3a\u4e3b\u7684\u57fa\u7840\u6a21\u578b<\/span>\uff08Foundation Model\uff09<\/span>\u548c\u4eba\u673a\u4ea4\u4e92\u4e3a\u4e3b\u7684\u6df1\u601d\u8005<\/span>\uff08Deep Thinker\uff09<\/span>\u3002\u4e24\u4e2a\u4ea4\u4e92\u754c\u9762\u4e3b\u8981\u5305\u62ec\uff1a\u4eba\u673a\u5bf9\u9f50\u754c\u9762<\/span>\uff08Human-AI Alignment\uff09<\/span>\u548cAI-\u73b0\u5b9e\u4e92\u52a8<\/span>\uff08AI-Reality Interaction\uff09<\/span>\u754c\u9762\u3002\u4e0b\u9762\u5206\u522b\u5c55\u5f00\u8bba\u8ff0\uff1a<\/span><\/span><\/p>\n

\u6570\u636e\u9a71\u52a8\u6a21\u578b<\/span><\/span><\/h3>\n

\u6570\u636e\u9a71\u52a8\u6a21\u578b\u662f\u4e00\u4e2a\u5355\u4e00\u9886\u57df\uff0c\u6216\u8de8\u9886\u57df\u7684AI\u6a21\u578b\uff0c\u53ef\u4ee5\u901a\u8fc7\u673a\u5668\u5b66\u4e60\u7684\u65b9\u5f0f\u4ece\u591a\u6e90\u3001\u591a\u6a21\u6001\u6570\u636e\u4e4b\u4e2d\u63d0\u53d6\u6709\u7528\u7684\u6a21\u5f0f\u548c\u89c4\u5f8b\u3002\u4f46\u8be5\u57fa\u7840\u6a21\u578b\u4e0d\u4ec5\u5305\u62ec\u5b66\u4e60\u548c\u5efa\u6a21\uff0c\u7406\u60f3\u5316\u7684\u7ec8\u6781\u5f62\u6001\u5e94\u8be5\u662f\u4e00\u4e2a\u4ee3\u7406\u6a21\u578b<\/span>\uff08Surrogated Model\uff09<\/span>\uff0c\u8be5\u6a21\u578b\u5c06\u53ef\u4ee5\u66ff\u4ee3\u771f\u5b9e\u7684\u7814\u7a76\u5bf9\u8c61\uff0c\u4ece\u800c\u5b8c\u6210\u9884\u6d4b\u3001\u6a21\u62df\u3001\u95ee\u9898\u6c42\u89e3\u7b49\u4e00\u7cfb\u5217\u4e0b\u6e38\u4efb\u52a1\u3002<\/span><\/span><\/p>\n

\u7136\u800c\uff0c\u9762\u5411\u79d1\u5b66\u667a\u80fd\u7684\u57fa\u7840\u6a21\u578b\u8fd8\u5e94\u5177\u5907\u4e00\u79cd\u5168\u65b0\u7684\u80fd\u529b\uff0c\u5373\u201c\u505a\u5b9e\u9a8c\u201d\u2014\u2014\u5982\u4f55\u4e3a\u4e86\u5b66\u5230\u66f4\u597d\u7684\u66ff\u4ee3\u6a21\u578b\u800c\u76f4\u63a5\u4e0e\u771f\u5b9e\u4e16\u754c\u4e92\u52a8\uff0c\u4ece\u800c\u83b7\u53d6\u65b0\u7684\u5e72\u9884\u6570\u636e\u3002\u8fd9\u90e8\u5206\u5e72\u9884\u4e16\u754c\u3001\u83b7\u53d6\u53cd\u9988\u7684\u529f\u80fd\u5219\u5c06\u4e13\u95e8\u7531\u5b9e\u9a8c\u8bbe\u8ba1\u6a21\u5757<\/span>\uff08Experiment Designer\uff09<\/span>\u5b8c\u6210\u3002\u8003\u8651\u5230AI\u4e0e\u4e16\u754c\u4e92\u52a8\u7684\u6210\u672c\u8fc7\u9ad8\u7684\u95ee\u9898\uff0c\u56e0\u6b64\u5982\u4f55\u5728\u5c3d\u53ef\u80fd\u5c11\u800c\u8f7b\u5730\u4e0e\u771f\u5b9e\u4e16\u754c\u4e92\u52a8\u7684\u524d\u63d0\u4e0b\uff0c\u83b7\u53d6\u66f4\u591a\u7684\u6709\u7528\u4fe1\u606f\u4e43\u81f3\u8865\u5168\u6570\u636e\uff0c\u5c06\u4f1a\u662f\u5b9e\u9a8c\u8bbe\u8ba1\u6a21\u5757\u7684\u91cd\u8981\u4efb\u52a1\u3002<\/span><\/span><\/p>\n

\u4ece\u4e00\u5b9a\u610f\u4e49\u4e0a\u8bf4\uff0c\u57fa\u7840\u6a21\u578b\u6a21\u5757\u6240\u5b8c\u6210\u7684\u7c7b\u4f3c\u4e8e\u4eba\u7c7b\u5927\u8111\u4e2d\u7684\u7cfb\u7edfI\u7684\u529f\u80fd\u3002\u4f46\u662f\uff0c\u4e0e\u4eba\u8111\u4e2d\u7684\u7cfb\u7edfI\u4e0d\u540c\u7684\u662f\uff0c\u8be5\u57fa\u7840\u6a21\u578b\u8fd8\u5305\u62ec\u4e86\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u7684\u95ee\u9898\u6c42\u89e3\u80fd\u529b\u548c\u5b9e\u9a8c\u8bbe\u8ba1\u80fd\u529b\u3002<\/span><\/span><\/p>\n

\u6df1\u601d\u8005<\/span><\/span><\/h3>\n

\u76ee\u524d\u7684AI\u7cfb\u7edf\u65e0\u6cd5\u66ff\u4ee3\u4eba\u7c7b\u79d1\u5b66\u5bb6\u6765\u5355\u72ec\u63a2\u7d22\u4e16\u754c\u3002\u6211\u4eec\u8ba4\u4e3a\uff0c\u5728\u4eca\u540e\u8f83\u957f\u7684\u4e00\u6bb5\u65f6\u95f4\u5185\uff0c\u79d1\u5b66\u7814\u7a76\u4ecd\u5c06\u901a\u8fc7\u4eba\u7c7b\u79d1\u5b66\u5bb6\u548c\u673a\u5668\u7684\u534f\u4f5c\u6765\u5b8c\u6210\u3002\u5728\u6570\u636e\u9a71\u52a8\u7684\u6a21\u578b\u4e4b\u5916\uff0c\u878d\u5408\u7b2c\u4e00\u6027\u539f\u7406\u3001\u5148\u9a8c\u77e5\u8bc6\u548c\u9886\u57df\u673a\u7406\u7684\u6df1\u5ea6\u63a8\u7406\u6a21\u578b\u5fc5\u4e0d\u53ef\u5c11\uff0c\u7c7b\u4f3co1\u3001o3\u548cR1\u8fd9\u4e9b\u63a8\u7406\u6a21\u578b\uff0c\u4ee5\u53ca\u795e\u7ecf\u7b26\u53f7\u4f53\u7cfb\u4e2d\u7684Lean\uff0c\u8fd9\u5c31\u662f\u201c\u6df1\u601d\u8005\u201d\u3002 \u6df1\u601d\u8005\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u7c7b\u4f3c\u4e8e\u4eba\u8111\u4e2d\u7684\u7cfb\u7edfII\uff0c\u6570\u636e\u9a71\u52a8\u6a21\u578b\u9700\u8981\u548c\u201c\u6df1\u601d\u8005\u201d\u6df1\u5ea6\u878d\u5408\uff0c\u5c06\u6df1\u5ea6\u5b66\u4e60\u7684\u611f\u77e5\u548c\u7b26\u53f7\u63a8\u7406\u7684\u4e25\u8c28\u3001\u53ef\u89e3\u91ca\u76f8\u7ed3\u5408\u3002<\/span><\/span><\/span><\/p>\n

\u4e00\u65b9\u9762\uff0c\u6df1\u601d\u8005\u4f1a\u5145\u5206\u83b7\u53d6\u4eba\u7c7b\u4e13\u5bb6\u7684\u77e5\u8bc6\u548c\u7ecf\u9a8c\uff0c\u8fd9\u5305\u62ec\u4ece\u5927\u91cf\u79d1\u5b66\u6587\u732e\u4e2d\u83b7\u53d6\u77e5\u8bc6\u3001\u5b8c\u6210\u63a8\u7406\uff1b\u4e5f\u5305\u62ec\u5c06\u4eba\u7c7b\u4e13\u5bb6\u7684\u77e5\u8bc6<\/span>\uff08\u4ee5\u77e5\u8bc6\u56fe\u8c31\u3001\u6982\u7387\u56fe\u6a21\u578b\u7b49\u5f62\u5f0f\u5448\u73b0\uff09<\/span>\u5b58\u50a8\u5728\u5355\u72ec\u7684\u5904\u7406\u6a21\u5757\u4e2d\uff0c\u5e76\u4e0e\u57fa\u7840\u6a21\u578b\u6df1\u5ea6\u7ed3\u5408\u8d77\u6765\uff1b\u8fd8\u5305\u62ec\u5c06\u4eba\u7c7b\u4e13\u5bb6\u7684\u7ecf\u9a8c\u6027\u77e5\u8bc6\u3001\u9886\u57df\u7684\u7b2c\u4e00\u6027\u539f\u7406\u4ee5\u5f52\u7eb3\u504f\u7f6e<\/span>\uff08Inductive Bias\uff0c\u4f8b\u5982\u5bf9\u79f0\u6027\u7684\u8003\u91cf\u7b49\uff09<\/span>\u7684\u65b9\u5f0f\uff0c\u8f6c\u53d8\u4e3a\u57fa\u7840\u6a21\u578b\u6a21\u5757\u878d\u5165\u795e\u7ecf\u7f51\u7edc\u67b6\u6784\u8bbe\u8ba1\u4e4b\u4e2d\uff0c\u8fd9\u4e00\u529f\u80fd\u53ef\u901a\u8fc7\u6784\u5efa\u67d0\u79cd\u901a\u7528\u7684\u795e\u7ecf\u7f51\u7edc\u67b6\u6784\u8bbe\u8ba1\u8bed\u8a00\u6765\u5b8c\u6210\u3002<\/span><\/span><\/p>\n

\u53e6\u4e00\u65b9\u9762\uff0c\u6df1\u601d\u8005\u8fd8\u9700\u8981\u5c06\u57fa\u7840\u6a21\u578b\u5b66\u4e60\u5230\u7684\u9690\u6027\u77e5\u8bc6\u4ee5\u5bf9\u4eba\u7c7b\u66f4\u53cb\u597d\u7684\u65b9\u5f0f\u5c55\u793a\u51fa\u6765\uff0c\u4ece\u800c\u4e0e\u4eba\u7c7b\u79d1\u5b66\u5bb6\u5bf9\u9f50\u3002\u8fd9\u5305\u62ec\u4f46\u4e0d\u9650\u4e8e\u751f\u6210\u5177\u6709\u542f\u53d1\u6027\u548c\u6d1e\u5bdf\u529b\u7684\u79d1\u5b66\u62a5\u544a\u3001\u53cb\u597d\u7684\u53ef\u89c6\u5316\u754c\u9762\uff0c\u4ee5\u53ca\u5bf9\u6570\u636e\u9a71\u52a8\u6a21\u578b\u601d\u8003\u8fc7\u7a0b\u7684\u89e3\u91ca\u7b49\u7b49\uff0c\u751a\u81f3\u4e8e\u6df1\u601d\u8005\u81ea\u53d1\u603b\u7ed3\u7684\u65b0\u79d1\u5b66\u89c4\u5f8b\u3002<\/span><\/span><\/p>\n

AI\u4e0e\u73b0\u5b9e\u7684\u4ea4\u4e92<\/span><\/span><\/h3>\n

\u4e3a\u4e86\u66f4\u597d\u5730\u63a2\u7d22\u771f\u5b9e\u4e16\u754c\uff0c\u57fa\u7840\u6a21\u578b\u4e3b\u4f53\u5e94\u5177\u5907\u91cd\u8981\u7684\u201c\u505a\u5b9e\u9a8c\u201d\u7684\u80fd\u529b\uff0c\u4ece\u800c\u901a\u8fc7\u4e3b\u52a8\u5730\u4e0e\u4e16\u754c\u4e92\u52a8\uff0c\u4ee5\u83b7\u5f97\u66f4\u591a\u53cd\u9988\u6570\u636e\u3002\u8fd9\u4e00\u4ea4\u4e92\u8fc7\u7a0b\u5c06\u4e3b\u8981\u7531AI-\u73b0\u5b9e\u4ea4\u4e92\u754c\u9762\u5b8c\u6210\u3002<\/span><\/span><\/p>\n

\u4e00\u65b9\u9762\uff0c\u57fa\u7840\u6a21\u578b\u5e94\u901a\u8fc7\u201c\u5b9e\u9a8c\u8bbe\u8ba1\u5668\u201d\u89c4\u5212\u51fa\u4e00\u4e2a\u5982\u4f55\u5e72\u9884\u4e16\u754c\u4ee5\u66f4\u597d\u5730\u83b7\u5f97\u4fe1\u606f\u7684\u65b9\u6848\uff0c\u518d\u6839\u636e\u8fd9\u4e00\u89c4\u5212\u6765\u4e0e\u771f\u5b9e\u4e16\u754c\u4e92\u52a8\u3002\u4f46\u662f\uff0c\u7531\u4e8e\u73b0\u5b9e\u4e2d\u7684\u4e92\u52a8\u5f80\u5f80\u662f\u6210\u672c\u9ad8\u6602\u7684<\/span>\uff08\u9700\u8981\u8003\u8651\u5230\u5b9e\u9a8c\u6210\u672c\u548c\u72af\u9519\u8bef\u6210\u672c\uff09<\/span>\uff0c\u56e0\u6b64\u8fd9\u4e00\u4e92\u52a8\u8fc7\u7a0b\u5e76\u975e\u7c7b\u4f3c\u4e8e\u5177\u8eab\u667a\u80fd\u90a3\u6837\u9891\u7e41\u800c\u76f4\u63a5\uff0c\u5b83\u66f4\u5e94\u8be5\u4ee5\u4e00\u79cd\u5f31\u4ea4\u4e92\u7684\u65b9\u5f0f\u6765\u5e72\u9884\u4e16\u754c\u3002<\/span><\/span><\/p>\n

\u53e6\u4e00\u65b9\u9762\uff0c\u57fa\u7840\u6a21\u578b\u5e94\u80fd\u76f4\u63a5\u4ece\u771f\u5b9e\u4e16\u754c\u83b7\u53d6\u53cd\u9988\uff0c\u8fd9\u65e2\u5305\u62ec\u5bf9\u667a\u80fd\u4f53\u7684\u8bc4\u4ef7\u53cd\u9988\uff0c\u4e5f\u5305\u62ec\u4ece\u771f\u5b9e\u4e16\u754c\u6536\u96c6\u5230\u7684\u5168\u65b0\u6570\u636e\u3002\u8fd9\u4e9b\u65b0\u7684\u6570\u636e\u5f80\u5f80\u53ef\u4ee5\u53cd\u6620\u51fa\u5bf9\u73b0\u5b9e\u4e16\u754c\u8fdb\u884c\u5e72\u9884\u4e4b\u540e\u7684\u53cd\u9988\uff0c\u56e0\u6b64\u4e5f\u53ef\u4ee5\u88ab\u7406\u89e3\u4e3a\u4e00\u79cd\u5e72\u9884\u6570\u636e\u3002\u8fd9\u4e9b\u5e72\u9884\u6570\u636e\u53ef\u4ee5\u8fdb\u4e00\u6b65\u66f4\u65b0\u5230\u8bad\u7ec3\u6570\u636e\u96c6\u4e4b\u4e2d\uff0c\u4ece\u800c\u66f4\u597d\u5730\u8bad\u7ec3\u57fa\u7840\u6a21\u578b\u3002\u8fd9\u79cd\u4ee5\u4e3b\u52a8\u5b8c\u6210\u6570\u636e\u6536\u96c6\u548c\u673a\u5668\u5b66\u4e60\u7684\u65b9\u5f0f\uff0c\u5f80\u5f80\u53ef\u4ee5\u83b7\u5f97\u66f4\u597d\u7684\u6548\u679c\u3002<\/span><\/span><\/p>\n

\u4eba\u7c7b\u4e13\u5bb6\u4e0eAI\u7cfb\u7edf\u7684\u5bf9\u9f50<\/span><\/span><\/h3>\n

\u4eba\u7c7b-AI\u5bf9\u9f50\u754c\u9762\u4e3b\u8981\u8d1f\u8d23\u4eba\u7c7b\u4e0eAI\u7cfb\u7edf\u7684\u4fe1\u606f\u548c\u77e5\u8bc6\u7684\u5171\u4eab\uff0c\u4ece\u800c\u8fbe\u5230\u4eba\u673a\u80fd\u591f\u66f4\u597d\u5730\u534f\u4f5c\u8fd9\u4e00\u91cd\u8981\u76ee\u7684\u3002\u8fd9\u5305\u62ec\u4e24\u65b9\u9762\uff1a<\/span><\/span><\/p>\n

\u9996\u5148\uff0c\u5bf9\u4e8e\u4efb\u4f55\u5b66\u79d1\uff0c\u76ee\u524d\u7edd\u5927\u90e8\u5206\u77e5\u8bc6\u662f\u638c\u63e1\u5728\u4eba\u7c7b\u4e13\u5bb6\u624b\u4e2d\u7684\uff0c\u56e0\u6b64\uff0c\u5982\u4f55\u5c06\u4eba\u7c7b\u4e13\u5bb6\u7684\u77e5\u8bc6\u3001\u7ecf\u9a8c\u4ee5\u53ca\u4e00\u4e9b\u7075\u611f\u6027\u7684\u542f\u53d1\u5f0f\u601d\u8003\uff0c\u878d\u5165\u57fa\u7840\u6a21\u578b\u8fd9\u6837\u7684\u4ee5\u673a\u5668\u5b66\u4e60\u4e3a\u4e3b\u7684\u7cfb\u7edf\u4e4b\u4e2d\uff0c\u5c31\u662f\u4e00\u4e2a\u4e9f\u5f85\u89e3\u51b3\u7684\u96be\u9898\u3002\u5c3d\u7ba1\u76ee\u524d\u5df2\u666e\u904d\u5e94\u7528\u7684\u77e5\u8bc6\u56fe\u8c31\u3001\u5411\u91cf\u6570\u636e\u5e93\u7b49\u6280\u672f\u53ef\u4ee5\u90e8\u5206\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff0c\u4f46\u662f\uff0c\u66f4\u65b0\u7684\u6280\u672f\u4ecd\u6709\u5de8\u5927\u7684\u5e94\u7528\u6f5c\u529b\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u6839\u636e\u4eba\u7c7b\u7684\u76f4\u89c9\u7ecf\u9a8c\u800c\u81ea\u52a8\u6784\u9020\u795e\u7ecf\u7f51\u7edc\u67b6\u6784\u3001\u9009\u62e9\u5408\u9002\u8d85\u53c2\u7684\u5de5\u5177\u3002<\/span><\/span><\/p>\n

\u5176\u6b21\uff0c\u53ef\u89e3\u91ca\u6027\u95ee\u9898\u4ecd\u7136\u662f\u4e00\u4e2a\u684e\u688fAI\u53d1\u5c55\u7684\u91cd\u8981\u5361\u70b9\u3002\u5982\u4f55\u8bbe\u8ba1\u66f4\u53cb\u597d\u7684\u4eba\u673a\u4ea4\u4e92\u754c\u9762\uff0c\u4ece\u800c\u5c06AI\u7684\u601d\u8003\u3001\u63a8\u7406\u8fc7\u7a0b\u5c55\u73b0\u7ed9\u4eba\u7c7b\u662f\u672a\u6765\u5f85\u89e3\u51b3\u7684\u91cd\u8981\u95ee\u9898\u3002<\/span><\/span><\/p>\n


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AI+Science \u8bfb\u4e66\u4f1a<\/span><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\n


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

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\"\u56fe\u7247\"<\/span><\/a><\/p>\n

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<\/span><\/section>\n
\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/span><\/span><\/section>\n
\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u53d1\u73b0\u76f8\u4e92\u8d4b\u80fd\u7684\u65b0\u8303\u5f0f\uff1aAI+Science \u8bfb\u4e66\u4f1a\u542f\u52a8<\/a><\/span><\/span><\/span><\/section>\n

<\/span><\/section>\n

<\/span><\/section>\n
\u63a8\u8350\u9605\u8bfb<\/span><\/span><\/strong><\/strong><\/strong><\/section>\n
<\/strong><\/section>\n
1. \u79d1\u5b66\u5bb6\u90fd\u5f00\u59cb\u7528\u8d77\u4e86AI\uff0c\u4e8b\u5b9e\u679c\u771f\u5982\u6b64\u5417\uff1f<\/span><\/a><\/span><\/strong>
<\/span><\/strong><\/span><\/section>\n
2. AI \u79d1\u5b66\u5bb6\u5e2e\u52a9\u53d1\u73b0\u65b0\u7684\u7269\u7406\u5b66\u5b9a\u5f8b<\/span><\/a><\/span><\/strong>
<\/span><\/strong><\/span><\/section>\n
3. AI\u79d1\u5b66\u5bb6\uff1a\u81ea\u52a8\u53d1\u73b0\u7269\u7406\u7cfb\u7edf\u7684\u9690\u85cf\u72b6\u6001\u53d8\u91cf<\/span><\/a><\/span><\/strong><\/section>\n
<\/strong><\/section>\n
4. <\/span><\/strong><\/span>\u6e38\u620f\u5316\u79d1\u7814\u2014\u2014\u8ba9\u6211\u4eec\u7a81\u7834\u5185\u5377\u3001\u5171\u7814\u6d8c\u73b0<\/a><\/span><\/strong><\/strong><\/span><\/section>\n
<\/strong>5. <\/span><\/strong>\u63a2\u7d22\u8005\u8ba1\u5212 | \u96c6\u667a\u4ff1\u4e50\u90e82025\u5185\u5bb9\u56e2\u961f\u62db\u52df\uff08\u5168\u804c&\u517c\u804c\uff09<\/a><\/span><\/strong><\/span><\/section>\n

6. \u52a0\u5165\u96c6\u667a\uff0c\u73a9\u8f6c\u590d\u6742\uff0c\u5171\u521b\u6591\u56fe\uff01\u96c6\u667a\u4ff1\u4e50\u90e8\u7ebf\u4e0b\u5fd7\u613f\u8005\u62db\u52df<\/span><\/a><\/span><\/strong>
<\/span><\/strong><\/span><\/p>\n


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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/span><\/span><\/section>\n<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

\u5bfc\u8bed \u4ece\u672a\u6765\u56de\u671b\uff0c2025\u5e74\u5c06\u88ab\u5b9a\u4e49\u4e3a\u201c\u4eba\u5de5\u667a\u80fd\u4e0e\u79d1\u5b66\u53d1\u73b0\u6df1\u5ea6\u878d\u5408\u7684\u5143\u5e74\u201d\u3002\u800c\u8fd9\u6e90\u4e8e2024\u5e74\u4e24\u9879\u8bfa\u8d1d\u5c14\u5956\u5747\u6388\u4e88\u4e86AI\u6df1\u5ea6\u53c2\u4e0e\u5176\u4e2d\u7684\u7814\u7a76\u3002\u7269\u7406\u5b66\u5956\u6388\u4e88\u4e86\u79d1\u5b66\u5bb6John J. Hopfield\u548cGeoffrey E. Hinton\uff0c\u4ee5\u8868\u5f70\u4ed6\u4eec\u5728\u4f7f\u7528\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u8fdb\u884c\u673a\u5668\u5b66\u4e60\u65b9\u9762\u7684\u57fa\u7840\u6027\u53d1\u73b0\u548c\u5f00\u521b\u6027\u8d21\u732e\u3002…<\/p>\n","protected":false},"author":0,"featured_media":58998,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/59016"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=59016"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/59016\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/58998"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=59016"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=59016"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=59016"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=59016"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}