{"id":44306,"date":"2023-08-03T21:32:15","date_gmt":"2023-08-03T13:32:15","guid":{"rendered":"https:\/\/swarma.org\/?p=44306"},"modified":"2023-08-03T21:32:15","modified_gmt":"2023-08-03T13:32:15","slug":"yoshua-bengio%e9%a2%86%e8%a1%94%e8%b7%a8%e5%ad%a6%e7%a7%91%e5%9b%a2%e9%98%9f%ef%bc%8cnature%e5%88%8a%e6%96%87%e7%bb%bc%e8%bf%b0%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e6%97%b6%e4%bb%a3%e7%9a%84%e7%a7%91","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=44306","title":{"rendered":"Yoshua Bengio\u9886\u8854\u8de8\u5b66\u79d1\u56e2\u961f\uff0cNature\u520a\u6587\u7efc\u8ff0\u4eba\u5de5\u667a\u80fd\u65f6\u4ee3\u7684\u79d1\u5b66\u53d1\u73b0"},"content":{"rendered":"
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\u201cAI for Science\u201d<\/span>\u7684\u89c6\u89d2\u5b9e\u5728\u662f\u592a\u5b8f\u5927\u4e86\uff0c\u6211\u4eec\u5728\u7740\u773c\u5927\u5c40\u7684\u540c\u65f6\uff0c\u4e5f\u529b\u6c42\u7ec6\u81f4\u5165\u5fae\u5730\u63cf\u7ed8\u7ec6\u8282\u3002\u4e3a\u4e86\u4e30\u5bcc\u6587\u7ae0\u7684\u5185\u6db5\uff0c\u6211\u4eec\u51e0\u4e2a\u6838\u5fc3\u6210\u5458\u53ef\u4ee5\u8bf4\u662f\u7cbe\u8bfb\u4e86\u622a\u6b62\u81f32022\u5e74\u79cb\u5b63\u7684\u8fd1\u5341\u5e74\u6765\u6240\u6709CNS\u53ca\u5176\u5b50\u520a\u4e2d\u4e0eAI\u76f8\u5173\u7684\u6587\u7ae0\u3002\u6211\u4eec\u5728\u65e9\u671f\u96c6\u601d\u5e7f\u76ca\u6784\u5efa\u4e86\u6570\u4e2a\u7248\u672c\u7684\u6846\u67b6\u548c\u56fe\u8868\uff0c\u5728\u4e00\u5e74\u591a\u7684\u5199\u4f5c\u8fc7\u7a0b\u4e2d\uff0c\u4e0d\u65ad\u5730\u5185\u90e8\u8ba8\u8bba\u4fee\u6539<\/span>([1])<\/span>\u3002\u81ea23\u5e741\u6708\u4efd\u6587\u7ae0\u4e0d\u7ecf\u4fee\u6539\u76f4\u63a5\u88ab\u539f\u5219\u4e0a\u63a5\u53d7\u540e\uff0c\u6211\u4eec\u53c8\u4e0eReviewer\u548cEditorial Team\u8fdb\u884c\u4e86\u4e24\u8f6e\u3001\u957f\u8fbe\u56db\u4e2a\u591a\u6708\u7684\u7ec6\u81f4\u8ba8\u8bba\u548c\u4fee\u6539\uff0c\u6700\u7ec8\u5b9a\u7a3f<\/span>\uff08\u4e8b\u5b9e\u8bc1\u660e\u4fee\u8fd8\u662f\u8981\u4fee\u7684\uff09<\/span>\u3002\u63a5\u4e0b\u6765\u901a\u8fc7\u6587\u7ae0\u7684\u56db\u4e2a\u56fe\uff0c\u6211\u5c06\u7b80\u5355\u4ecb\u7ecd\u4e0b\u8fd9\u7bc7\u6587\u7ae0\u7684\u4e3b\u4f53\uff0c\u5373\u6211\u4eec\u5bf9\u8fd1\u4e9b\u5e74\u201cAI for Science\u201d<\/span>\u53d1\u5c55\u7684\u89c2\u5bdf\u548c\u601d\u8003\uff0c\u4ee5\u53ca\u8ba8\u8bba\u4e0b\u672a\u6765\u9700\u8981\u89e3\u51b3\u7684\u95ee\u9898\u548c\u6311\u6218\u3002\u5bf9\u6b64\u611f\u5174\u8da3\u7684\u670b\u53cb\uff0c\u5f3a\u70c8\u63a8\u8350\u9605\u8bfb\u539f\u6587\u3002<\/span><\/section>\n

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\u5f53\u7136\uff0cScience\u6742\u5fd7\u57287\u6708\u4e2d\u65ec\u7387\u5148\u4e0a\u4e86\u4e00\u4e2a\u4e13\u6ce8\u4e8eAI+Science\u7684\u7279\u520a\uff0c\u5176\u4e2d\u5305\u542b\u4e00\u4e9b\u4f18\u79c0\u7684\u89c2\u70b9\u548c\u8bc4\u8bba\u6587\u7ae0\uff0c\u5b83\u4eec\u5927\u591a\u5173\u6ce8\u5728\u5355\u4e2a\u6216\u5c11\u6570\u51e0\u4e2a\u5b66\u79d1\u7684\u7279\u5b9a\u95ee\u9898\u4e0a\uff0c\u6b64\u5916arXiv\u4e0a\u4e5f\u6709\u4e00\u4e9b\u6216\u957f\u6216\u77ed\u7684\u6750\u6599\u53ef\u4f9b\u53c2\u8003\u3002\u4f46\u5982\u679c\u4f60\u53ea\u6253\u7b97\u9605\u8bfb\u4e00\u7bc7\u5173\u4e8e\u201cAI for Science\u201d<\/span>\u7684\u7efc\u8ff0\u6027\u6587\u7ae0\u7684\u8bdd\uff0c\u6211\u63a8\u8350\u6211\u4eec\u8fd9\u7bc7\uff1a\u601d\u8003\u66f4\u6df1\u3001\u89c6\u89d2\u66f4\u5168\u3001\u6781\u5ea6\u7cbe\u70bc\uff0c\u7ecf\u8fc7\u4e86Peer Review\u7684\u6376\u6253<\/span>\uff08\u5176\u5b9eEditor\u8981\u6c42\u66f4\u6539\u7684\u5730\u65b9\u66f4\u591a\uff09<\/span>\u3002\u6b64\u5916\uff0c\u4f5c\u8005\u56e2\u961f\u4e2d\u6709\u5f88\u591aestablished scholars\u548crising stars\uff0c\u80fd\u628a\u5927\u5bb6\u805a\u5728\u4e00\u8d77\u8ba8\u8bba\u51fa\u6211\u4eec\u90fd\u80fd\u63a5\u53d7\u7684\u6846\u67b6\u4e5f\u633a\u78e8\u4eba\u7684\u3002\u81f3\u4e8e\u5f71\u54cd\u529b\uff0cof course time will tell\uff0c\u6709\u8fd9\u4efd\u81ea\u4fe1\u3002<\/span><\/section>\n

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\u56fe1 | \u8fd9\u91cc\u7528\u7684\u81ea\u5df1\u753b\u7684\u6700\u540e\u4e00\u7248(\u7ea6\u6478\u7740\u662f\u603b\u7b2c\u516d\/\u4e03\u7248)\uff0c\u6700\u7ec8\u7528\u7684\u662feditorial team\u201c\u6da6\u8272\u201d\u7684\u7248\u672c\u3002<\/span><\/p>\n


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\u56fe2-4\u6211\u4eec\u5177\u4f53\u9610\u8ff0\u4e86\u5728\u8fd9\u4e09\u4e2a\u9636\u6bb5\uff0cAI\u5728\u65b9\u6cd5\u548c\u5e94\u7528\u4e0a\u7684\u4e00\u4e9b\u5171\u6027\uff0c\u5206\u522b\u8bf4\u4e0b\u3002<\/span><\/section>\n

<\/section>\n
AI\u8f85\u52a9\u7684\u79d1\u7814\u6570\u636e\u6536\u96c6\u4e0e\u6574\u7406AI-aided data collection and curation for scientific research<\/strong><\/span><\/section>\n

<\/section>\n
\u9996\u5148\u662f\u6570\u636e\u3002\u4f5c\u4e3a\u4e00\u5207\u7684\u51fa\u53d1\u70b9\uff0cAI\u5728\u6570\u636e\u5904\u7406\u4e2d\u53ef\u4ee5\u5e72\u8fd9\u4e48\u51e0\u4ef6\u4e8b\u513f\uff0c\u6bd4\u5982\u8bf4:<\/span><\/section>\n

<\/section>\n
 \u2022 Selection. \u4e00\u4e2a\u5178\u578b\u7684\u7c92\u5b50\u78b0\u649e\u5b9e\u9a8c\u6bcf\u79d2\u949f\u80fd\u4ea7\u751f\u8d85\u8fc7100 TB\u7684\u6570\u636e\u91cf\uff0c\u800c\u5176\u4e2d\u8d85\u8fc799.99%\u7684\u539f\u59cb\u6570\u636e\u5b9e\u9645\u4e0a\u662f\u9700\u8981\u5b9e\u65f6\u8bc6\u522b\u5e76\u820d\u5f03\u7684\u80cc\u666f\u566a\u97f3\uff0c\u76ee\u7684\u662f\u4e3a\u4e86\u4fdd\u7559\u90a3\u4e9b\u7a00\u6709\u4e14\u542b\u6709\u6709\u4ef7\u503c\u4fe1\u606f\u7684\u6570\u636e\u3002\u4e00\u79cd\u5e38\u89c1\u7684\u5904\u7406\u7b56\u7565\u662f\u5229\u7528\u5f02\u5e38\u68c0\u6d4b<\/span>\uff08Anomaly Detection\uff09<\/span>\u7b97\u6cd5\uff0c\u5c06\u8fd9\u4e9b\u7a00\u6709\u4e8b\u4ef6\u89c6\u4e3a\u5f02\u5e38\u6570\u636e\u8fdb\u884c\u8bc6\u522b\u5e76\u4fdd\u5b58\u3002\u8fd9\u79cd\u601d\u8def\u5728\u7269\u7406\u5b66\u3001\u795e\u7ecf\u79d1\u5b66\u3001\u5730\u7403\u79d1\u5b66\u3001\u6d77\u6d0b\u5b66\u4ee5\u53ca\u5929\u6587\u5b66\u7b49\u9886\u57df\u90fd\u5f97\u5230\u4e86\u5e7f\u6cdb\u7684\u5e94\u7528\uff1b<\/span><\/section>\n

<\/section>\n
 \u2022 Annotation. \u8bad\u7ec3\u6709\u76d1\u7763\u7684\u6a21\u578b\u9700\u8981\u4f9d\u8d56\u5e26\u6709\u6807\u7b7e\u7684\u6570\u636e\u96c6\uff0c\u7136\u800c\u5bf9\u4e8e\u751f\u7269\u5b66\u3001\u533b\u5b66\u7b49\u5b9e\u9a8c\u6027\u5b66\u79d1\u6765\u8bf4\uff0c\u751f\u6210\u5927\u91cf\u51c6\u786e\u6807\u7b7e\u7684\u6570\u636e\u96c6\u65e2\u8017\u65f6\u53c8\u8017\u529b\u3002\u4f2a\u6807\u7b7e\u6cd5<\/span>\uff08Pseudo Labelling\uff09<\/span>\u548c\u6807\u7b7e\u4f20\u64ad\u6cd5<\/span>\uff08Label Propagation\uff09<\/span>\u56e0\u6b64\u6210\u4e3a\u4e86\u4f18\u79c0\u7684\u66ff\u4ee3\u65b9\u6848\uff0c\u5b83\u4eec\u5141\u8bb8\u5728\u53ea\u6709\u5c11\u91cf\u51c6\u786e\u6ce8\u91ca\u7684\u5927\u578b\u65e0\u6807\u7b7e\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u81ea\u52a8\u6ce8\u91ca\u3002\u6b64\u5916\uff0c\u4e3b\u52a8\u5b66\u4e60<\/span>\uff08Active Learning\uff09<\/span>\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u786e\u5b9a\u6700\u6709\u5fc5\u8981\u8fdb\u884c\u5b9e\u9a8c\u6807\u6ce8\u7684\u6570\u636e\u70b9\uff0c\u4ece\u800c\u8fdb\u4e00\u6b65\u964d\u4f4e\u6210\u672c\u3002\u53e6\u4e00\u79cd\u6570\u636e\u6ce8\u89e3\u7b56\u7565\u5219\u662f\u501f\u52a9\u4e13\u4e1a\u9886\u57df\u77e5\u8bc6\u6765\u5236\u5b9a\u6807\u7b7e\u89c4\u5219\uff0c\u5982Data Programming<\/span> (NeurIPS ’22) <\/span>\u548cSnorkel <\/span>(VLDB ’17) <\/span>\u7b49\uff1b<\/span><\/section>\n

<\/section>\n
 \u2022 Generation. \u901a\u5e38\u6765\u8bf4\uff0cAI\u7684\u6027\u80fd\u968f\u7740\u8bad\u7ec3\u6570\u636e\u96c6\u7684\u8d28\u91cf\u3001\u591a\u6837\u6027\u548c\u89c4\u6a21\u7684\u63d0\u9ad8\u800c\u63d0\u9ad8\u3002\u901a\u8fc7\u81ea\u52a8\u6570\u636e\u589e\u5f3a<\/span>\uff08AutoAugment\uff09<\/span>\u548c\u6df1\u5ea6\u751f\u6210\u6a21\u578b<\/span>\uff08Deep Generative AI\uff09<\/span>\u751f\u6210\u989d\u5916\u7684\u5408\u6210\u6570\u636e\u70b9\uff0c\u4ee5\u6269\u5145\u8bad\u7ec3\u6570\u636e\u96c6\uff0c\u662f\u521b\u5efa\u66f4\u597d\u6a21\u578b\u7684\u4e00\u79cd\u6709\u6548\u65b9\u6cd5\u3002\u9664\u4e86\u624b\u52a8\u8bbe\u8ba1\u4e4b\u5916\uff0c\u5f3a\u5316\u5b66\u4e60\u65b9\u6cd5<\/span>\uff08Reinforcement Learning\uff09<\/span>\u8fd8\u53ef\u4ee5\u53d1\u73b0\u4e00\u79cd\u81ea\u52a8\u6570\u636e\u589e\u5f3a\u7684\u7b56\u7565\uff0c\u8fd9\u79cd\u7b56\u7565\u65e2\u7075\u6d3b\u53c8\u4e0d\u4f9d\u8d56\u4e8e\u4e0b\u6e38\u4efb\u52a1\u3002\u4e3e\u4f8b\u6765\u8bf4\uff0c\u751f\u6210\u5bf9\u6297\u7f51\u7edc<\/span>\uff08Generative Adversatial Netowrk\uff09<\/span>\u5df2\u88ab\u8bc1\u660e\u5bf9\u79d1\u5b66\u56fe\u50cf\u6709\u76ca\uff0c\u5b83\u4eec\u53ef\u4ee5\u5728\u591a\u4e2a\u9886\u57df\u4e2d\u751f\u6210\u903c\u771f\u4e14\u6709\u7528\u7684\u6570\u636e\uff0c\u4ece\u7c92\u5b50\u78b0\u649e\u4e8b\u4ef6\u3001\u75c5\u7406\u5207\u7247\u3001\u80f8\u90e8X\u5149\u3001\u78c1\u5171\u632f\u5bf9\u6bd4\u3001\u4e09\u7ef4\u6750\u6599\u5fae\u7ed3\u6784\u3001\u86cb\u767d\u8d28\u529f\u80fd\u5230\u57fa\u56e0\u5e8f\u5217\uff1b<\/span><\/section>\n

<\/section>\n
 \u2022 Refinement. \u9ad8\u7cbe\u5ea6\u7684\u4eea\u5668\uff0c\u5982\u8d85\u9ad8\u5206\u8fa8\u7387\u6fc0\u5149\u5668\u548c\u65e0\u521b\u663e\u5fae\u7cfb\u7edf\uff0c\u53ef\u4ee5\u76f4\u63a5\u6216\u95f4\u63a5\u6d4b\u91cf\u7269\u7406\u91cf\uff0c\u5f97\u5230\u975e\u5e38\u7cbe\u786e\u7684\u7ed3\u679c\u3002AI\u5219\u80fd\u591f\u8fdb\u4e00\u6b65\u63d0\u9ad8\u4e86\u6d4b\u91cf\u5206\u8fa8\u7387\uff0c\u51cf\u5c11\u566a\u58f0\uff0c\u5e76\u51cf\u5c0f\u6d4b\u91cf\u7cbe\u5ea6\u7684\u8bef\u5dee\uff0c\u4f7f\u4e4b\u5177\u6709\u4e00\u81f4\u6027\u3002\u5177\u4f53\u4f8b\u5b50\u6bd4\u5982\u9ed1\u6d1e\u6210\u50cf\u3001\u6355\u6349\u7269\u7406\u7c92\u5b50\u78b0\u649e\u3001\u63d0\u9ad8\u6d3b\u7ec6\u80de\u56fe\u50cf\u7684\u5206\u8fa8\u7387\uff0c\u4ee5\u53ca\u7ec6\u80de\u7c7b\u578b\u68c0\u6d4b\u3002<\/span><\/section>\n

<\/section>\n
Deep Learning\u80fd\u591f\u5728\u591a\u5c42\u6b21\u4e0a\u63d0\u53d6\u79d1\u5b66\u6570\u636e\u7684meaningful representation\uff0c\u5e76\u4f18\u5316\u8fd9\u4e9b\u8868\u793a\u4ee5\u6307\u5bfc\u7814\u7a76\u3002\u597d\u7684Representation\u5e94\u8be5\u5c3d\u53ef\u80fd\u5730\u4fdd\u7559\u6570\u636e\u7684\u4fe1\u606f\uff0c\u540c\u65f6simple, accessible, compact, discriminative, and disentangle\u3002\u5728\u6587\u4e2d\uff0c\u6211\u4eec\u7b80\u5355\u4e86\u4ecb\u7ecd\u51e0\u79cd\u7b56\u7565\uff1a\u51e0\u4f55\u6df1\u5ea6\u5b66\u4e60<\/span>\uff08Geometric deep learning\uff09<\/span>\uff0c\u81ea\u76d1\u7763\u5b66\u4e60<\/span>\uff08Self-Supervised Learning\uff09<\/span>\uff0c\u8bed\u8a00\u6a21\u578b<\/span>\uff08Language Modelling\uff09<\/span>\u548c\u795e\u7ecf\u7b97\u5b50<\/span>\uff08Neural Operators\uff09<\/span>\uff0c\u6b64\u5904\u5c31\u4e0d\u8d58\u8ff0\u4e86\u3002<\/span><\/section>\n

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<\/section>\n
\u56fe2 | AI for Science\u4e2dRepresentation Learning\u5e38\u89c1\u7684\u51e0\u79cd\u7b56\u7565<\/span><\/section>\n

<\/section>\n
\u57fa\u4e8eAI\u7684\u79d1\u5b66\u5047\u8bbe\u751f\u6210AI-based generation of scientific hypotheses<\/strong><\/span><\/section>\n

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\u53ef\u9a8c\u8bc1\u7684\u5047\u8bbe\u662f\u79d1\u5b66\u53d1\u73b0\u7684\u5173\u952e\u3002\u8fd9\u4e9b\u5047\u8bbe\u6709\u591a\u79cd\u5f62\u5f0f\uff0c\u4ece\u6570\u5b66\u7684\u7b26\u53f7\u8868\u8fbe\u5f0f\uff0c\u5230\u5316\u5b66\u7684\u5206\u5b50\uff0c\u518d\u5230\u751f\u7269\u5b66\u7684\u57fa\u56e0\u53d8\u5f02\u3002\u6784\u5efa\u6709\u610f\u4e49\u7684\u5047\u8bbe\u901a\u5e38\u662f\u4e00\u9879\u8017\u65f6\u8d39\u529b\u7684\u8fc7\u7a0b\uff0c\u6b63\u5982\u7ea6\u7ff0\u5185\u65af\u00b7\u5f00\u666e\u52d2\u5728\u5206\u6790\u661f\u4f53\u548c\u884c\u661f\u6570\u636e\u56db\u5e74\u540e\u624d\u5f97\u51fa\u4e86\u4e00\u4e2a\u5bfc\u81f4\u53d1\u73b0\u884c\u661f\u8fd0\u52a8\u5b9a\u5f8b\u7684\u5047\u8bbe\u3002AI\u5728\u6b64\u8fc7\u7a0b\u7684\u591a\u4e2a\u9636\u6bb5\u90fd\u53ef\u4ee5\u53d1\u6325\u4f5c\u7528\u3002\u5b83\u4eec\u53ef\u4ee5\u901a\u8fc7\u4ece\u566a\u58f0\u89c2\u6d4b\u4e2d\u8bc6\u522b\u51fa\u5019\u9009\u7684\u7b26\u53f7\u8868\u8fbe\u5f0f\u6765\u751f\u6210\u5047\u8bbe\u3002\u5b83\u4eec\u4e5f\u80fd\u5e2e\u52a9\u8bbe\u8ba1\u7269\u4f53\uff0c\u6bd4\u5982\u4e00\u4e2a\u80fd\u4e0e\u6cbb\u7597\u76ee\u6807\u7ed3\u5408\u7684\u5206\u5b50\uff0c\u6216\u662f\u4e00\u4e2a\u53ef\u4ee5\u63a8\u7ffb\u6570\u5b66\u731c\u60f3\u7684\u53cd\u4f8b\uff0c\u8fd9\u4e9b\u90fd\u6307\u5411\u4e86\u5b9e\u9a8c\u5ba4\u4e2d\u7684\u5b9e\u9a8c\u8bc4\u4f30\u3002\u6b64\u5916\uff0cAI\u53ef\u4ee5\u5b66\u4e60\u5047\u8bbe\u7684\u8d1d\u53f6\u65af\u540e\u9a8c\u5206\u5e03\uff0c\u5e76\u5229\u7528\u8fd9\u4e2a\u5206\u5e03\u751f\u6210\u4e0e\u79d1\u5b66\u6570\u636e\u548c\u77e5\u8bc6\u76f8\u543b\u5408\u7684\u5047\u8bbe\u3002\u6211\u4eec\u5728\u6b64\u7b80\u5355\u603b\u7ed3\u4e86\u4ee5\u4e0b\u4e09\u70b9\uff0c\u5177\u4f53\u5185\u5bb9\u6ca1\u6709\u5728\u8fd9\u91cc\u5c55\u5f00\u8bb2\u89e3\uff0c\u6b22\u8fce\u5927\u5bb6\u9605\u8bfb\u539f\u6587\u6df1\u5165\u4e86\u89e3\u3002<\/span><\/p>\n

 \u2022 Black-box predictors of scientific hypotheses<\/span><\/p>\n

 \u2022 Navigating combinatorial hypothesis spaces<\/span><\/p>\n

 \u2022 Optimizing differentiable hypothesis spaces<\/span><\/section>\n

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<\/section>\n
\u56fe3 | AI\u5e2e\u52a9\u79d1\u5b66\u5047\u8bbe\u68c0\u9a8c\u7684\u51e0\u79cd\u5e38\u89c1\u6a21\u5f0f<\/span><\/section>\n

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AI\u9a71\u52a8\u7684\u5b9e\u9a8c\u548c\u6a21\u62dfAI-driven experimentation and simulation<\/strong><\/span><\/section>\n

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\u901a\u8fc7\u5b9e\u9a8c\u8bc4\u4f30\u79d1\u5b66\u5047\u8bbe\u662f\u79d1\u5b66\u53d1\u73b0\u7684\u5173\u952e\u73af\u8282\u3002\u7136\u800c\uff0c\u5b9e\u9a8c\u5ba4\u5b9e\u9a8c\u53ef\u80fd\u6210\u672c\u9ad8\u6602\uff0c\u64cd\u4f5c\u590d\u6742\u3002\u8ba1\u7b97\u673a\u6a21\u62df\u5df2\u7ecf\u6210\u4e3a\u4e00\u79cd\u5177\u6709\u524d\u666f\u7684\u66ff\u4ee3\u65b9\u6848\uff0c\u4e3a\u6211\u4eec\u63d0\u4f9b\u4e86\u66f4\u4e3a\u6709\u6548\u548c\u7075\u6d3b\u7684\u5b9e\u9a8c\u624b\u6bb5\u3002\u867d\u7136\u6a21\u62df\u9700\u8981\u4f9d\u8d56\u4eba\u5de5\u8bbe\u7f6e\u7684\u53c2\u6570\u548c\u542f\u53d1\u5f0f\u7b56\u7565\u6765\u6a21\u4eff\u73b0\u5b9e\u4e16\u754c\u7684\u60c5\u51b5\uff0c\u5e76\u4e14\u9700\u8981\u5728\u7cbe\u5ea6\u548c\u901f\u5ea6\u4e4b\u95f4\u505a\u51fa\u6743\u8861\uff0c\u8fd9\u5c31\u9700\u8981\u7406\u89e3\u5e95\u5c42\u7684\u673a\u5236\u3002\u968f\u7740AI\u7684\u51fa\u73b0\uff0c\u8fd9\u4e9b\u6311\u6218\u6b63\u5728\u5f97\u5230\u89e3\u51b3\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u8bc6\u522b\u548c\u4f18\u5316\u5047\u8bbe\u6765\u8fdb\u884c\u6709\u6548\u7684\u6d4b\u8bd5\uff0c\u5e76\u4e14\u53ef\u4ee5\u5229\u7528\u8ba1\u7b97\u673a\u6a21\u62df\u5c06\u89c2\u5bdf\u7ed3\u679c\u548c\u5047\u8bbe\u8054\u7cfb\u8d77\u6765\u3002\u8fd9\u91cc\u6211\u4eec\u7b80\u8981\u5730\u603b\u7ed3\u4e86\u4ee5\u4e0b\u4e24\u70b9\uff0c\u5177\u4f53\u7ec6\u8282\u5c31\u4e0d\u5c55\u5f00\u4e86\uff0c\u6b22\u8fce\u5927\u5bb6\u9605\u8bfb\u539f\u6587\u6df1\u5165\u7406\u89e3\u3002<\/span><\/section>\n

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 \u2022 Efficient evaluation of scientific hypotheses<\/span><\/section>\n
 \u2022 Deducing observables from hypotheses using simulations<\/span><\/section>\n

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\u56fe4 | AI\u6307\u5bfc\u79d1\u5b66\u5b9e\u9a8c\u7684\u51e0\u4e2a\u5e38\u89c1\u4f8b\u5b50<\/span><\/section>\n

<\/section>\n
\u91cd\u5927\u6311\u6218Grand challenges<\/strong><\/span><\/section>\n

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\u6700\u540e\u8bf4\u4e0b\u6311\u6218\u548c\u5c55\u671b\u3002\u8fd9\u91cc\u6211\u4eec\u7b80\u8981\u5730\u603b\u7ed3\u4e86\u4ee5\u4e0b\u4e09\u70b9\uff0c\u524d\u4e24\u70b9\u5f88\u597d\u7406\u89e3\uff0c\u5c55\u5f00\u8bf4\u8bf4\u7b2c\u4e09\u4e2a\u3002<\/span><\/p>\n

 \u2022 Practical considerations<\/span><\/p>\n

 \u2022 Algorithmic innovations<\/span><\/p>\n

 \u2022 Conduct of science and the scientific enterprise<\/span><\/section>\n

<\/section>\n
\u957f\u8fdc\u6765\u770b\uff0c\u81ea\u7136\u79d1\u5b66\u4e2d\u7684AI\u9700\u6c42\u5c06\u53d7\u5230\u4e24\u79cd\u529b\u91cf\u7684\u9a71\u52a8\u3002<\/span><\/section>\n

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\u968f\u7740AI\u7cfb\u7edf\u7684\u8868\u73b0\u8d8a\u6765\u8d8a\u63a5\u8fd1\u751a\u81f3\u8d85\u8d8a\u4eba\u7c7b\uff0c\u5c06\u5176\u4f5c\u4e3a\u65e5\u5e38\u5b9e\u9a8c\u5ba4\u5de5\u4f5c\u7684\u66ff\u4ee3\u5df2\u53d8\u5f97\u5207\u5b9e\u53ef\u884c\u3002\u8fd9\u79cd\u65b9\u6cd5\u4f7f\u7814\u7a76\u4eba\u5458\u80fd\u591f\u8fed\u4ee3\u5730\u4ece\u5b9e\u9a8c\u6570\u636e\u4e2d\u5f00\u53d1\u9884\u6d4b\u6a21\u578b\uff0c\u5e76\u9009\u62e9\u5b9e\u9a8c\u4ee5\u6539\u8fdb\u5b83\u4eec\uff0c\u800c\u65e0\u9700\u624b\u52a8\u6267\u884c\u7e41\u7410\u548c\u91cd\u590d\u7684\u4efb\u52a1\u3002\u4e3a\u4e86\u652f\u6301\u8fd9\u79cd\u8303\u5f0f\u8f6c\u53d8\uff0c\u65b0\u7684\u6559\u80b2\u9879\u76ee\u6b63\u5728\u6d8c\u73b0\uff0c\u65e8\u5728\u57f9\u517b\u79d1\u5b66\u5bb6\u5728\u79d1\u7814\u4e2d\u8bbe\u8ba1\u3001\u5b9e\u65bd\u5e76\u5e94\u7528\u5b9e\u9a8c\u5ba4\u81ea\u52a8\u5316\u548cAI\u3002\u8fd9\u4e9b\u9879\u76ee\u5e2e\u52a9\u79d1\u5b66\u5bb6\u7406\u89e3\u4f55\u65f6\u5e94\u9002\u5b9c\u4f7f\u7528AI\uff0c\u5e76\u9632\u6b62AI\u5206\u6790\u7684\u8bef\u89e3\uff0c\u4f8b\u5982Hallucination\u3002<\/span><\/section>\n

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AI\u5de5\u5177\u7684\u8bef\u7528\u548c\u5bf9\u5176\u7ed3\u679c\u7684\u8bef\u89e3\u53ef\u80fd\u4f1a\u5e26\u6765\u91cd\u5927\u7684\u8d1f\u9762\u5f71\u54cd\uff0c\u800c\u4e14\u8fd9\u4e9b\u98ce\u9669\u7684\u5e94\u7528\u8303\u56f4\u975e\u5e38\u5e7f\u6cdb\u3002\u7136\u800c\uff0cAI\u7684\u8bef\u7528\u5e76\u975e\u4ec5\u4ec5\u662f\u4e00\u4e2a\u6280\u672f\u95ee\u9898\uff0c\u5b83\u8fd8\u53d6\u51b3\u4e8e\u90a3\u4e9b\u5f15\u9886AI\u521b\u65b0\u548c\u6295\u8d44AI\u5b9e\u65bd\u7684\u4eba\u7684\u52a8\u673a\u3002\u5efa\u7acb\u9053\u5fb7\u5ba1\u67e5\u6d41\u7a0b\u548c\u8d1f\u8d23\u4efb\u7684\u5b9e\u65bd\u7b56\u7565\u662f\u5fc5\u4e0d\u53ef\u5c11\u7684\uff0c\u5305\u62ec\u5168\u9762\u5ba1\u89c6AI\u7684\u8303\u56f4\u548c\u9002\u7528\u6027\u3002\u6b64\u5916\uff0c\u5fc5\u987b\u8003\u8651\u4e0eAI\u76f8\u5173\u7684\u5b89\u5168\u98ce\u9669\uff0c\u56e0\u4e3a\u5c06\u7b97\u6cd5\u5b9e\u73b0\u590d\u7528\u4e3a\u53cc\u91cd\u7528\u9014\u5df2\u53d8\u5f97\u8d8a\u6765\u8d8a\u7b80\u5355\u3002\u7531\u4e8e\u7b97\u6cd5\u80fd\u9002\u5e94\u5e7f\u6cdb\u7684\u5e94\u7528\uff0c\u5b83\u4eec\u53ef\u4ee5\u4e3a\u4e00\u4e2a\u76ee\u7684\u800c\u5f00\u53d1\uff0c\u4f46\u7528\u4e8e\u53e6\u4e00\u4e2a\u76ee\u7684\uff0c\u4ece\u800c\u4ea7\u751f\u5a01\u80c1\u548c\u64cd\u7eb5\u7684\u98ce\u9669\u3002\u8fd9\u4e9b\u90fd\u662f\u4e9f\u9700\u89e3\u51b3\u4e14\u5f71\u54cd\u6df1\u8fdc\u7684\u95ee\u9898\u3002<\/span><\/section>\n

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AI for Science\u503c\u4e0d\u503c\u5f97\u7814\u7a76\uff1f<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u53ef\u4ee5\u770b\u8fd9\u4e48\u4e24\u70b9\uff1a<\/span><\/section>\n

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1. \u6709\u6ca1\u6709\u641e\u5934\uff08\u5929\u65f6\uff09<\/strong><\/span><\/section>\n

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\u6beb\u65e0\u7591\u95ee\uff0c\u201cAI for Science\u201d<\/span>\u7684\u5b66\u672f\u524d\u666f\u5e7f\u9614\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7AlphaGo\u548cAlphaFoldv2\u7684\u5bf9\u6bd4\u6765\u76f4\u89c2\u5730\u770b\u5230\u8fd9\u4e00\u70b9\u3002AlphaGo\u4e8e2016\u5e74\u5728Nature\u4e0a\u53d1\u8868\uff0c\u81f3\u4eca\u5df2\u7ecf\u670945\u4e07+\u7684\u7814\u7a76\u8005\u9605\u8bfb\u8fc7\u8fd9\u7bc7\u6587\u7ae0\uff0c\u5f15\u7528\u6b21\u6570\u8fbe\u5230\u4e867600+\uff1b\u800cAlphaFoldv2\u4e8e2021\u5e74\u4e5f\u5728Nature\u4e0a\u53d1\u8868\uff0c\u81f3\u4eca\u5df2\u6709118\u4e07+\u7684\u7814\u7a76\u8005\u9605\u8bfb\u8fc7\u8fd9\u7bc7\u6587\u7ae0\uff0c\u5f15\u7528\u6b21\u6570\u8fbe\u5230\u4e868000+\u3002\u4ec5\u4ece\u8fd9\u4e9b\u6570\u5b57\u6765\u770b\uff0cAlphaFoldv2\u5728\u5b66\u672f\u754c\u548c\u79d1\u6280\u754c\u7684\u5f71\u54cd\u529b\u81f3\u5c11\u662fAlphaGo\u7684\u51e0\u500d\u3002\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0cAlphaGo\u66fe\u5f15\u9886\u4e86\u4e0a\u4e00\u6ce2\u7684\u4eba\u5de5\u667a\u80fd\u6d6a\u6f6e\u3002<\/span><\/section>\n

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AlphaGo<\/span><\/section>\n
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AlphaFoldv2<\/span><\/section>\n

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\u786e\u5b9e\uff0c\u4ece11\u5e74\u524d\u7531AlexNet\u548cAlphaGo\u5f15\u53d1\u7684AI\u70ed\u6f6e\uff0c\u5230\u73b0\u5728\u4ee5ChatGPT\u7b49AI\u5de5\u5177\u53ef\u80fd\u6210\u4e3a\u4e0b\u4e00\u4ee3\u8ba1\u7b97\u5e73\u53f0\u7684\u5e95\u5c42\u67b6\u6784\u7684\u89c2\u70b9\uff0c\u5df2\u7ecf\u5f97\u5230\u4e86\u8d8a\u6765\u8d8a\u591a\u4eba\u7684\u8ba4\u540c\u3002\u4ece\u8fd9\u4e2a\u89d2\u5ea6\u770b\uff0c\u201cAI for Science\u201d<\/span>\u7684\u5f71\u54cd\u53ef\u80fd\u4f1a\u8d85\u8fc7\u4e0a\u4e16\u7eaa\u4e2d\u540e\u671f\u628a\u8ba1\u7b97\u673a\u5f15\u5165\u81ea\u7136\u79d1\u5b66\u7684\u5f71\u54cd\u3002Nature\u66fe\u7ecf\u8bc4\u9009\u51fa\u5341\u4e2a\u6539\u53d8\u79d1\u5b66\u7684\u8ba1\u7b97\u673a\u7a0b\u5e8f\uff0c\u8fd9\u5176\u4e2d\u5305\u62ec\uff1a<\/span><\/p>\n

1.1957\u5e74\uff0c\u57fa\u4e8eFortran\u7f16\u8bd1\u5668\u7684\u79d1\u5b66\u6a21\u62df\u7a0b\u5e8f\u88ab\u7528\u4e8e\u5929\u6c14\u9884\u62a5\u3001\u822a\u5929\u8f68\u9053\u8ba1\u7b97\u3001\u6750\u6599\u6027\u8d28\u8ba1\u7b97\u7b49\uff1b<\/span><\/p>\n

2.1965\u5e74\uff0c\u5feb\u901f\u5085\u7acb\u53f6\u53d8\u6362\u88ab\u5e94\u7528\u4e8e\u5929\u6587\u6d4b\u91cf\uff1b<\/span><\/p>\n

3.1990\u5e74\uff0cBLAST\u5e8f\u5217\u641c\u7d22\u5de5\u5177\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u57fa\u56e0\u7814\u7a76\uff1b<\/span><\/section>\n

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AI for Science\u5c06\u6709\u53ef\u80fd\u5f15\u9886\u53e6\u4e00\u6b21\u79d1\u5b66\u7684\u5de8\u53d8\uff0c\u8fd9\u5c06\u662f\u4e00\u4e2a\u975e\u5e38\u503c\u5f97\u671f\u5f85\u7684\u672a\u6765\u3002<\/span><\/section>\n

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Scaffolded LLMs as natural language computers www.beren.io\/2023-04-11-Scaffolded-LLMs-natural-language-computers\/<\/span><\/section>\n
Ten computer codes that transformed science www.nature.com\/articles\/d41586-021-00075-2<\/span><\/section>\n

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2010\u5e74\u4ee3\u7b2c\u4e09\u6ce2AI\u6d6a\u6f6e\u7684\u6807\u5fd7\u6027\u4e8b\u4ef6\u4e4b\u4e00\uff1aDeep Learning\u4e09\u5de8\u5934\u53d1\u8868\u5728Nature\u4e0a\u7684\u7efc\u8ff0<\/span><\/p>\n


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AI for Science\u65e0\u7591\u5177\u6709\u5e7f\u9614\u7684\u5546\u4e1a\u5316\u5e94\u7528\u548c\u6210\u679c\u8f6c\u5316\u7684\u6f5c\u529b\u3002\u4f8b\u5982\uff0c\u5728\u6750\u6599\u7814\u53d1\u3001\u57fa\u56e0\u7f16\u8f91\/\u7b5b\u9009\/\u8bbe\u8ba1\u3001\u5929\u6c14\u9884\u62a5\u3001\u6838\u805a\u53d8\u53cd\u5e94\u63a7\u5236\u4ee5\u53ca\u519c\u4e1a\u6536\u6210\u9884\u6d4b\u7b49\u9886\u57df\uff0cAI\u90fd\u6709\u53ef\u80fd\u5b9e\u73b0\u9769\u65b0\u6027\u7684\u521b\u65b0\u3002\u8fd9\u79cd\u521b\u65b0\u4e0d\u4ec5\u80fd\u4ea7\u751f\u7ecf\u6d4e\u6548\u76ca\uff0c\u800c\u4e14\u53ef\u4ee5\u771f\u6b63\u63d0\u5347\u4eba\u7c7b\u793e\u4f1a\u7684\u798f\u7949\u3002\u5f53\u7136\uff0c\u8fd9\u4e9b\u5e94\u7528\u7684\u5546\u4e1a\u6a21\u578b\u548c\u6280\u672f\u8fd8\u9762\u4e34\u7740\u8bb8\u591a\u9700\u8981\u7a81\u7834\u7684\u6311\u6218\u3002\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u56fd\u5bb6\u79d1\u6280\u90e8\u3001\u7f8e\u56fd\u80fd\u6e90\u90e8\u4ee5\u53ca\u5fae\u8f6f\u7b49\u79d1\u6280\u5de8\u5934\u4e5f\u90fd\u8868\u660e\u4e86\u5bf9AI for Science\u7684\u9ad8\u5ea6\u5173\u6ce8\uff0c\u5e76\u5bf9\u6b64\u6709\u76f8\u5173\u7684\u653f\u7b56\u652f\u6301\u548c\u503e\u659c\u3002<\/span><\/section>\n

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Microsoft Research AI4Science<\/span><\/section>\n
www.microsoft.com\/en-us\/research\/lab\/microsoft-research-ai4science\/<\/span><\/section>\n
\u79d1\u6280\u90e8\u542f\u52a8\u300c\u4eba\u5de5\u667a\u80fd\u9a71\u52a8\u7684\u79d1\u5b66\u7814\u7a76\u300d\u4e13\u9879\u90e8\u7f72\u5de5\u4f5c\uff0c\u91ca\u653e\u4e86\u54ea\u4e9b\u4fe1\u53f7\uff1fhttps:\/\/www.zhihu.com\/question\/592157178<\/span><\/section>\n
AI for Science: Report on the Department of Energy (DOE) Town Halls on Artificial Intelligence (AI) for Science (Technical Report)www.osti.gov\/biblio\/1604756<\/span><\/section>\n

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2. \u201c\u80fd\u4e0d\u80fd\u505a\u597d\u201d (\u5730\u5229\u4eba\u548c)<\/strong><\/span><\/section>\n

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\u6211\u4eec\u90fd\u77e5\u9053\u82f1\u4f1f\u8fbe\u4f5c\u4e3a\u8fd9\u6ce2AI\u6d6a\u6f6e\u7684\u6316\u4e95\u4eba\u8d5a\u5f97\u76c6\u6ee1\u94b5\u6ee1\uff0c\u4f46\u5e76\u4e0d\u610f\u5473\u7740\u6211\u4eec\u6bcf\u4e2a\u4eba\u4e5f\u80fd\u53bb\u9020\u663e\u5361\u3001\u8d5a\u5927\u94b1\u3002\u540c\u7406\uff0cAI for Science\u867d\u7136\u5927\u52bf\u5f88\u597d\uff0c\u4f46\u95e8\u69db\u4e5f\u5f88\u9ad8\uff0c\u80fd\u4e0d\u80fd\u5403\u597d\u8fd9\u7897\u996d\u56e0\u4eba\u800c\u5f02\u3002<\/span><\/section>\n

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\u9996\u5148\u6765\u8bb2doing AI\u548cdoing Science\u7684\u6280\u80fd\u6811\u548c\u8111\u56de\u8def\u662f\u4e0d\u592a\u4e00\u6837\u7684\u3002\u6211\u81ea\u5df1\u662f\u9ad8\u4e00\u62a5\u9001\u7684\u7269\u7406\u672c\u79d1\uff0c\u4e4b\u540e\u535a\u58eb\u5728\u5de5\u7a0b\u7cfb\u8bfb\u7684\u662f\u673a\u5668\u5b66\u4e60\uff0c\u5bf9\u8fd9\u4e24\u8005\u7684\u5dee\u5f02\u4f53\u4f1a\u5f88\u6df1\u3002\u7b80\u5355\u6765\u8bf4\uff0cScience\u4e00\u76f4\u5f88\u8bb2\u7a76Taste\u548cIntuition\uff0c\u8fd9\u4e3b\u8981\u53cd\u6b63\u5728\u201c\u627e\u95ee\u9898\u201d\u7684\u80fd\u529b\u4e0a\uff1b\u800c\u73b0\u5728\u7684AI\u66f4\u504f\u5411\u4e8e\u5de5\u7a0b\u3002\u5f53\u7136\u4e8c\u8005\u4e5f\u6709\u76f8\u901a\u4e4b\u5904\uff0c\u5f88\u591a\u6770\u51fa\u7684\u7814\u7a76\u5de5\u4f5c\u90fd\u4ee5\u89e3\u51b3\u67d0\u4e2a\u91cd\u8981\u95ee\u9898\u4e3a\u6838\u5fc3\uff0c\u800c\u5355\u7eaf\u5728\u5df2\u7ecf\u5b9a\u4e49\u597d\u7684\u8bc4\u4ef7\u4f53\u7cfb\u4e0b<\/span>\uff08\u6bd4\u5982\u6211\u5bfc\u5e08\u505a\u7684Open Graph Benchmark\uff09<\/span>\u8fdb\u884c\u6280\u672f\u4f18\u5316\u5f80\u5f80\u5e76\u4e0d\u662f\u6700\u91cd\u8981\u7684\uff0c\u9664\u975e\u4f60\u80fd\u505a\u5230\u50cfAF2\u90a3\u6837\u4e00\u9a91\u7edd\u5c18\u3002\u627e\u5230\u201c\u91d1\u77ff\u201d\u548c\u5b9a\u4e49\u4f55\u4e3a\u201c\u91d1\u77ff\u201d\u7684\u80fd\u529b\uff0c\u5e38\u5e38\u6bd4\u5feb\u901f\u6709\u6548\u5730\u6316\u77ff\u66f4\u4e3a\u91cd\u8981\u3002<\/span><\/section>\n

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\u5176\u6b21\u9700\u8981\u4f18\u79c0\u7684\u79d1\u5b66\u76f4\u89c9\u548c\u6781\u81f4\u7684\u5de5\u7a0b\u80fd\u529b\u7684\u5b8c\u7f8e\u7ed3\u5408\u3002\u79d1\u5b66\u76f4\u89c9\u7684\u91cd\u8981\u6027\u81ea\u4e0d\u5fc5\u591a\u8bf4\uff0c\u5de5\u7a0b\u80fd\u529b\u5176\u5b9e\u4e5f\u975e\u5e38\u91cd\u8981\u3002\u5f88\u591a\u7814\u7a76\u9879\u76ee\u6216\u521d\u521b\u516c\u53f8\u7684\u60f3\u6cd5\u548c\u6545\u4e8b\u5e76\u4e0d\u65b0\u5947\uff0c\u4f46\u5982\u4f55\u5c06\u5176\u6267\u884c\u5230\u6781\u81f4\uff0c\u4e0d\u540c\u7684\u4e2a\u4f53\u548c\u56e2\u961f\u662f\u4e91\u6ce5\u4e4b\u522b<\/span> ([2])<\/span>\u3002\u5f53\u7136\u5e73\u53f0\u548c\u8d44\u6e90\u4e5f\u90fd\u975e\u5e38\u91cd\u8981\uff0c\u8fd9\u70b9\u76f8\u4fe1\u5927\u5bb6\u5e94\u8be5\u4f53\u4f1a\u90fd\u5f88\u6df1\uff0c\u8fd9\u4e9b\u90fd\u662f\u4e0e\u80fd\u529b\u76f8\u8f85\u76f8\u6210\u7684\u3002<\/span><\/section>\n

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\u6700\u540e\u6211\u4eec\u6765\u8c08\u6210\u672c\uff0c\u7b80\u5355\u8bf4\u8bf4\u4e2a\u4eba\u804c\u4e1a\u53d1\u5c55\u65b9\u9762\u7684\u3002<\/span><\/section>\n

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 \u2022 \u9996\u5148\u8bfbCS\/AI PhD\u5c31\u662f\u4e00\u4e2a\u6210\u672c\u5f88\u5927\u7684\u4e8b\u60c5\uff0c\u6b64\u5916\u5355\u4ece\u5b66\u672f\u65b9\u5411\u800c\u8a00\uff0cAI for Science\u7684Top Researcher\u9700\u8981Top Conference\u548cTop Journal\u4e24\u624b\u6293 <\/span>(e.g., Brian Hie, James Zou, Marinka Zitnik)([3])<\/span>\uff0c\u8fd9\u4e24\u8005\u7684\u6295\u5ba1\u7a3f\u98ce\u683c\u4e5f\u5f88\u4e0d\u540c\uff0c\u6709\u673a\u4f1a\u7ec6\u8bb2\uff1b<\/span><\/section>\n

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 \u2022 \u5176\u6b21AI for Science\u8fd9\u4e2a\u65b9\u5411\u5728\u5927\u5382\u91cc\u5e76\u4e0d\u662f\u5f88\u53d7\u5f85\u89c1\uff0c\u6bd4\u5982Meta\u7684\u86cb\u767d\u8d28\u7ec4\uff0cCNS\u5494\u5494\u53d1\u3001\u5de5\u4f5c\u786e\u5b9e\u4e0d\u9519\uff0c\u4f46\u662f\u4ece\u4e2a\u4eba\u804c\u4e1a\u664b\u5347\u89d2\u5ea6\u6765\u8bf4\u5e76\u4e0d\u5403\u9999\uff0c\u56e0\u4e3a\u516c\u53f8\u3001stackholders\u770b\u4e0d\u5230\u56de\u5934\u94b1\uff0c\u56e2\u961f\u5e26\u5934\u4ebaAlex\u4e5f\u56de\u5230\u5b66\u754c\u4e86\uff1b<\/span><\/section>\n

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 \u2022 \u6b64\u5916\uff0cAI for Science\u5bf9\u4e8e\u5176\u4ed6\u804c\u4e1a\u8def\u5f84\u6bd4\u5982Quant\uff0c\u4e5f\u5e76\u6ca1\u6709\u592a\u5927\u7684\u5e2e\u52a9\u6216\u88ab\u666e\u904d\u8ba4\u53ef\u3002<\/span>\uff08\u867d\u7136\u4e5f\u65f6\u4e0d\u65f6\u6536\u5230hr\u548c\u730e\u5934\u7684reach out\uff0c\u4e0d\u8fc7\u4e3b\u8981\u662f\u8ddf\u6211\u4e4b\u524d\u505a\u8fc7\u70b9\u513fQuant\u6709\u5173\uff09<\/span><\/section>\n

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\u5927\u5b66\u6559\u6388\u7684\u751f\u6d3b\u662f\u4ec0\u4e48\u6837\u7684\u5462\uff1fhttps:\/\/www.zhihu.com\/question\/58470970\/answer\/2364977070<\/span><\/section>\n

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\u6240\u4ee5\u5176\u5b9eAI for Science\u7684Researcher\uff0c\u6bd4\u8f83\u9002\u5408\u5728\u5404\u7c7bScience\u90fd\u5f88\u5f3a\u7684Top University\u81ea\u5df1\u652f\u4e2a\u644a\u513f\u3001\u5728Local Community\u591a\u5408\u4f5c\u3001\u4e0e\u4e1a\u754c\u5927\u725b\u641e\u597d\u5173\u7cfb\uff0c\u9047\u5230\u5408\u9002\u7684\u673a\u4f1a\u518d\u641e\u641eStartups\u3002\u5f53\u7136\u516c\u53f8\u8981\u8ffd\u6c42Profit\u800c\u4e0d\u662fScience\u3001\u6295\u8d44\u4eba\u7684\u94b1\u4e5f\u4e0d\u662f\u5927\u98ce\u522e\u6765\u7684\u3002\u60f3\u8981\u540c\u65f6\u505a\u5230\u8fd9\u51e0\u70b9\u96be\u5ea6\u5f88\u5927\uff0c\u806a\u660e\u624d\u667a\u5927\u5bb6\u90fd\u6709\uff0c\u4f46\u66f4\u9700\u8981\u5174\u8da3\u9a71\u52a8\u4e14\u4e2a\u4ebaego\u8981\u6781\u5f3a\u3001\u559c\u6b22\u8ffd\u6c42\u4e0a\u754c\u3001\u591a\u6b21\u81ea\u6211\u98a0\u8986\u3002\u5176\u4ed6\u804c\u4e1a\u8def\u5f84\u6bd4\u5982\u5927\u5382Scientist\u3001Quant\u3001\u641e\u6295\u8d44\u4e4b\u7c7b\u7684\uff0c\u5bf9\u4e8eTop Talents\u7684\u673a\u4f1a\u603b\u662f\u5f88\u591a\u3002\u5f53\u7136AI\u5404\u9886\u57df\u80fd\u7559\u5728\u9876\u7ea7\u540d\u6821\u5f53\u8001\u5e08\u7684\u5e74\u8f7b\u4e00\u4ee3\uff0c\u6bcf\u4e00\u4f4d\u90fd\u653e\u5f03\u4e86\u975e\u5e38\u591a\u7684\u673a\u4f1a\uff0c\u7ed9\u4ed6\u4eec\u70b9\u8d5e \uff0c\u4e5f\u5e0c\u671b\u81ea\u5df1\u51e0\u5e74\u540e\u3001\u800c\u7acb\u4e4b\u5e74\u5de6\u53f3\u6210\u4e3a\u4ed6\u4eec\u4e2d\u7684\u4e00\u5458 \":)\"<\/span><\/section>\n

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\u603b\u7684\u6765\u8bf4\uff0cAI for Science\u7684\u60f3\u8c61\u529b\u7a7a\u95f4\u5de8\u5927\u3001\u53d1\u5c55\u52bf\u5934\u521a\u8d77\uff0c\u4f46\u662f\u5426\u8981\u8eac\u8eab\u5165\u5c40\uff0c\u8fd8\u662f\u8981\u7ed3\u5408\u81ea\u8eab\u60c5\u51b5\uff0c\u91cf\u529b\u800c\u884c\u3002\u603b\u4e4b\u8e0f\u5b9e\u505a\u4e8b\u3001\u5fe0\u539a\u5f85\u4eba\u3001\u5e7f\u7ed3\u5584\u7f18\uff0c\u751f\u6d3b\u603b\u4e0d\u4f1a\u592a\u5dee\uff0c\u4e0e\u541b\u5171\u52c9\u3002<\/span><\/section>\n

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\u4ece\u6211\u4e2a\u4eba21\u5e74\u4e0b\u534a\u5e74\u5f00\u59cb\u63a8\u52a8\u76f4\u5230\u6587\u7ae0\u6700\u7ec8\u53d1\u8868\u51fa\u6765\uff0c\u5386\u65f6\u8fd1\u4e24\u5e74\uff0c\u6ce2\u6298\u5f88\u591a\uff0c\u5f88\u78e8\u70bc\u5fc3\u6c14\u513f\u3002\u4f46\u54ea\u7bc7CNS\u6216\u8005\u5927\u5b50\u520a\u7684\u80cc\u540e\u6ca1\u6709\u201c\u6545\u4e8b\u201d\u5462\uff0c\u8fd9\u4e5f\u4e0d\u662f\u6211\u7b2c\u4e00\u7bc7\/\u6545\u4e8b\uff0c\u628a\u4e8b\u513f\u505a\u6210\u6700\u91cd\u8981\u3002\u6709\u70b9\u53ef\u60dc\u7684\u662f\uff0c\u56e0\u4e3a\u5b9a\u7a3f\u4e8e\u5e74\u521d\uff0c\u8fd1\u671f\u7684\u4e00\u4e9b\u5f88\u597d\u7684\u5de5\u4f5c<\/span>\uff08\u6bd4\u5982\u534e\u4e3a\u7684\u76d8\u53e4\u5929\u6c14\u9884\u62a5\u6a21\u578b\uff09<\/span>\u6ca1\u6709\u5305\u62ec\u8fdb\u6765\uff0c\u5f53\u7136\u8fd9\u4e5f\u8bf4\u660e\u4e86\u9886\u57df\u53d1\u5c55\u65e5\u65b0\u6708\u5f02\u3002\u6709\u7bc7Nature\u662f\u597d\u4e8b\u513f\uff0c\u4e0d\u8fc7\u8bf4\u7834\u5929\u4e5f\u5c31\u662f\u7bc7\u7efc\u8ff0\uff0c\u8981\u505a\u51fa\u9886\u57df\u5185impacts\u4e3b\u8981\u8fd8\u662f\u51ed\u9760\u539f\u521b\u6027\u7684\u5de5\u4f5c\uff0csurvey\u8fd9\u79cd\u4e1c\u897f\u5199\u4e00\u7bc7\u5c31\u591f\u4e86\uff0c\u5728\u7cbe\u4e0d\u5728\u591a\u3002\u901a\u5e38\u6211\u4eec\u8bc4\u4ef7\u4e00\u4e2aMicro\/Junior PI\u7684\u80fd\u529b\uff0c\u4e3b\u8981\u662f\u770b\u4ed6\/\u5979\u4f5c\u4e3alead author<\/span> (first\/last) <\/span>\u53d1\u4e86\u54ea\u4e9bpaper\u3001\u62ff\u4e86\u54ea\u4e9bfunding\u3001\u6709\u54ea\u4e9b\u5927\u4f6c\u613f\u610f\u771f\u7684\u633a\u4f60\u3001\u516c\u53f8\u641e\u5f97\u5982\u4f55\u3001\u4e0epolicy maker\u4eec\u7684\u5173\u7cfb\u6709\u591a\u94c1\uff0c\u5176\u4ed6\u90fd\u662f\u865a\u7684<\/span>\uff08\u4e00\u5bb6\u4e4b\u8a00\uff09<\/span>\u3002\u672a\u6765\u51c6\u5907\u8fd8\u662f\u5c0f\u8303\u56f4\u6838\u5fc3\u56e2\u961f\u5708\u5b50\u591a\u641e\u4e8b\u60c5\uff0c\u4e0d\u7ed3\u6076\u7f18\u3002\u6700\u540e\u611f\u8c22\u4e0b\u5e08\u59d0\u3001\u54c8\u4f5b\u533b\u5b66\u9662\u6559\u6388Marinka Zitnik\uff0c\u9886\u7740\u6211\u4eec\u4e00\u8d77\u628a\u8fd9\u4e2a\u4f5c\u54c1\u5448\u73b0\u7ed9\u5927\u5bb6\uff0c\u6ca1\u6709\u5979\u8fd9\u4e8b\u513f\u4e5f\u6210\u4e0d\u4e86<\/span>([4])<\/span>\uff0c\u8fd9\u4e5f\u90fd\u662f\u6211\u4eec\u5f7c\u6b64\u7684\u7b2c\u4e00\u7bc7CNS<\/span>\uff08\u4f5c\u4e3a\u4e00\u4f5cor\u901a\u8baf\uff0c\u4e0d\u6bd4Aviv\u80fd\u505a\u5230\u5e74\u57475+\u7bc7CNS\u901a\u8baf\uff09<\/span>\uff0c\u5e0c\u671b\u81ea\u5df1\u4e4b\u540e\u7684CNS\u6295\u7a3f\u80fd\u591f\u518d\u591a\u4e9b\u987a\u610f\u3002\u4e5f\u8c22\u8c22\u6210\u6587\u671f\u95f4\u53c2\u4e0e\u8ba8\u8bba\u3001\u7ed9\u4e0e\u6307\u5bfc\u7684\u670b\u53cb\u548c\u540c\u4e8b\uff0c\u949f\u6e90\u535a\u58eb\u3001Demis Hassabis\u535a\u58eb\u7b49\u3002<\/span><\/section>\n

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\u738b\u701a\u5bb8<\/span><\/strong>\u73b0\u4efb\u65af\u5766\u798f\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u4e0e\u57fa\u56e0\u6cf0\u514b\u65b0\u836f\u7814\u53d1\u90e8\u95e8\u8054\u5408\u535a\u540e\u7814\u7a76\u5458, \u5e08\u4eceJure Leskovec\u6559\u6388\u548cAviv Regev\u9662\u58eb\u3002\u4ed6\u4f5c\u4e3a\u7b2c\u4e00\u4f5c\u8005\u5728Nature\u3001Nature Machine Intelligence\u3001NeurIPS\u7b49\u671f\u520a\u548c\u4f1a\u8bae\u4e0a\u53d1\u8868\u6587\u7ae0\uff0c\u4e5f\u5728ICML\u3001NeurIPS\u3001 ICLR\u4e0a\u4e3e\u529e\u8fc7\u4e00\u4e9b\u4e0eAI for Science\u76f8\u5173\u7684\u7814\u8ba8\u4f1a\u3002\u4ed6\u9ad8\u4e00\u65f6\u4ece\u82cf\u5dde\u4e2d\u5b66\u4fdd\u9001\u81f3\u5357\u4eac\u5927\u5b66\u5321\u4e9a\u660e\u5b66\u9662\u7269\u7406\u7cfb\u672c\u79d1(2014-2018)\uff0c\u5e08\u4ece\u738b\u6b23\u7136\u6559\u6388\u3002\u4e4b\u540e\u4ed6\u5728\u5251\u6865\u5927\u5b66\u653b\u8bfb\u5e76\u83b7\u5f97\u673a\u5668\u5b66\u4e60\u535a\u58eb\u5b66\u4f4d(2019-2022)\uff0c\u5e08\u4ece\u4e09\u4e00\u5b66\u9662\u9662\u58ebJoan Lasenby\u6559\u6388\u3002\u4ed6\u5728\u4e92\u8054\u7f51\u884c\u4e1a\u3001\u91d1\u878d\u884c\u4e1a\u548c\u751f\u7269\u79d1\u6280\u884c\u4e1a\u7684\u516c\u53f8\u90fd\u5f85\u8fc7\u3002<\/span><\/p>\n

\u4e2a\u4eba\u4e3b\u9875\uff1ahttps:\/\/www.hanchenw.com<\/span><\/p>\n

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\u8f6c\u8f7d\u81ea\u4f5c\u8005\u77e5\u4e4e\uff1ahttps:\/\/zhuanlan.zhihu.com\/p\/642293473<\/span><\/span><\/section>\n
\u5c01\u9762\u56fe\u7247\u6765\u6e90\uff1aTechCrunch+<\/span><\/section>\n<\/section>\n<\/blockquote>\n


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\u6ce8\u91ca<\/strong><\/span><\/section>\n
1.\u975e\u5e38\u611f\u8c22Yoshua\u3001Connor\u7b49PI\u901a\u7bc7\u6539\u6846\u67b6\u3001\u6587\u7ae0<\/span><\/section>\n
2.\u6bd4\u5982\u8bf4\u201d\u5199AI for Science\u7684Survey\u201c\u8fd9\u4e2a\u60f3\u6cd5\u7b80\u76f4\u70c2\u5927\u8857 \":)\"<\/span><\/section>\n
3.\u4e0d\u7136Science\u7684\u4eba\u8bf4\u4f60\u89e3\u51b3\u4e0d\u4e86\u95ee\u9898\uff0cAI\u7684\u4eba\u8bf4\u4f60\u7b97\u6cd5\u6ca1\u4ec0\u4e48\u521b\u65b0 \":)\"<\/span><\/section>\n
4.Author\u91cc\u6211\u4eec\u628aJunior\u9760\u524d\uff0c\u4eceAnima\u5230\u5f20\u6797\u5cf0\uff0c\u662f\u6309\u7167\u5b57\u6bcd\u5e8f\u6392\u7684<\/span><\/section>\n

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\u5927\u6a21\u578b\u4e0e\u751f\u547d\u533b\u5b66\uff1a<\/strong><\/p>\n

AI + Science\u7b2c\u4e8c\u5b63\u8bfb\u4e66\u4f1a\u542f\u52a8<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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\u751f\u7269\u533b\u5b66\u662f\u4e00\u4e2a\u590d\u6742\u4e14\u5bcc\u6709\u6311\u6218\u6027\u7684\u9886\u57df\uff0c\u6d89\u53ca\u5230\u5927\u91cf\u7684\u6570\u636e\u5904\u7406\u3001\u6a21\u5f0f\u8bc6\u522b\u3001\u7406\u8bba\u6a21\u578b\u5efa\u6784\u548c\u5b9e\u9a8c\u9a8c\u8bc1\u7b49\u95ee\u9898\u3002AI\u57fa\u7840\u6a21\u578b\u7684\u5f15\u5165\uff0c\u4f7f\u5f97\u6211\u4eec\u80fd\u591f\u4ece\u524d\u6240\u672a\u6709\u7684\u89d2\u5ea6\u53bb\u89c2\u5bdf\u548c\u7406\u89e3\u8fd9\u4e2a\u9886\u57df\u7684\u95ee\u9898\uff0c\u52a0\u901f\u79d1\u5b66\u7814\u7a76\u7684\u6b65\u4f10\uff0c\u63d0\u9ad8\u533b\u7597\u670d\u52a1\u7684\u6548\u7387\u548c\u6548\u679c\u3002\u8fd9\u79cd\u4ea4\u53c9\u9886\u57df\u7684\u5408\u4f5c\uff0c\u6807\u5fd7\u7740\u6211\u4eec\u6b63\u5728\u5411\u79d1\u6280\u4e0e\u751f\u7269\u533b\u5b66\u6df1\u5ea6\u878d\u5408\u7684\u65b0\u65f6\u4ee3\u8fc8\u8fdb\uff0c\u5bf9\u4e8e\u63a8\u52a8\u79d1\u5b66\u7814\u7a76\u3001\u4f18\u5316\u533b\u7597\u670d\u52a1\u3001\u4fc3\u8fdb\u4eba\u7c7b\u5065\u5eb7\u6709\u7740\u6df1\u8fdc\u7684\u5f71\u54cd\u3002<\/span><\/section>\n

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\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u897f\u6e56\u5927\u5b66\u52a9\u7406\u6559\u6388\u5434\u6cf0\u9716\u3001\u65af\u5766\u798f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u535a\u58eb\u540e\u7814\u7a76\u5458\u738b\u701a\u5bb8\u3001\u535a\u58eb\u7814\u7a76\u751f\u9ec4\u67ef\u946b\u3001\u9ec4\u5029\uff0c\u534e\u76db\u987f\u5927\u5b66\u535a\u58eb\u7814\u7a76\u751f\u5c60\u946b\u660e\uff0c\u5171\u540c\u53d1\u8d77\u4ee5\u201c\u5927\u6a21\u578b\u4e0e\u751f\u7269\u533b\u5b66\u201d\u4e3a\u4e3b\u9898\u7684\u8bfb\u4e66\u4f1a\uff0c\u5171\u5b66\u5171\u7814\u76f8\u5173\u6587\u732e\uff0c<\/span><\/span>\u63a2\u8ba8\u57fa\u7840\u6a21\u578b\u5728\u751f\u7269\u533b\u5b66\u7b49\u79d1\u5b66\u9886\u57df\u7684\u5e94\u7528\u3001\u5f71\u54cd\u548c\u5c55\u671b\u3002<\/span>\u8bfb\u4e66\u4f1a\u4ece2023\u5e748\u670813\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u65e5\u65e9\u4e0a 9:00-11:00 \u7ebf\u4e0a\u4e3e\u884c\uff0c\u6301\u7eed\u65f6\u95f4\u9884\u8ba18\u5468\u3002<\/span>\u6b22\u8fce\u5bf9\u63a2\u7d22\u8fd9\u4e2a\u6fc0\u52a8\u4eba\u5fc3\u7684\u524d\u6cbf\u9886\u57df\u6709\u5174\u8da3\u7684\u670b\u53cb\u62a5\u540d\u53c2\u4e0e\u3002<\/span><\/section>\n

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\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/span><\/p>\n

\u5927\u6a21\u578b\u4e0e\u751f\u7269\u533b\u5b66\uff1aAI + Science\u7b2c\u4e8c\u5b63\u8bfb\u4e66\u4f1a\u542f\u52a8<\/a><\/span><\/p>\n


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\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/p>\n

1. <\/strong>14\u4e2a\u673a\u678463\u4f4d\u5b66\u8005\u5408\u4f5c AI for Science \u91cd\u78c5\u7efc\u8ff0\uff1a\u7528\u4e8e\u91cf\u5b50\u3001\u539f\u5b50\u548c\u8fde\u7eed\u4f53\u7cfb\u79d1\u5b66\u7684\u4eba\u5de5\u667a\u80fd<\/a><\/strong><\/span><\/section>\n
2. <\/strong>\u5df4\u62c9\u5df4\u897f\u65b0\u4f5c\uff1aAI-Bind \u52a9\u529b\u86cb\u767d\u8d28-\u914d\u4f53\u7ed3\u5408\u9884\u6d4b<\/a><\/strong><\/span><\/section>\n
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3. <\/strong><\/strong>\u51e0\u4f55\u6df1\u5ea6\u5b66\u4e60\uff1a\u8ba9\u7269\u7406\u4e16\u754c\u62e5\u6709AI | \u9ec4\u6587\u70b3\u5206\u4eab\u6574\u7406<\/a><\/strong><\/strong><\/span><\/section>\n
4. <\/strong><\/span>\u5f20\u6c5f\uff1a\u7b2c\u4e09\u4ee3\u4eba\u5de5\u667a\u80fd\u6280\u672f\u57fa\u7840\u2014\u2014\u4ece\u53ef\u5fae\u5206\u7f16\u7a0b\u5230\u56e0\u679c\u63a8\u7406 | \u96c6\u667a\u5b66\u56ed\u5168\u65b0\u8bfe\u7a0b<\/a><\/strong><\/strong><\/span><\/strong><\/strong><\/strong><\/section>\n
5. \u6210\u4e3a\u96c6\u667aVIP\uff0c\u89e3\u9501\u5168\u7ad9\u8bfe\u7a0b\uff0f\u8bfb\u4e66\u4f1a<\/span><\/strong><\/a><\/strong><\/strong><\/strong><\/strong><\/section>\n
6. <\/strong><\/strong><\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/strong><\/strong><\/span><\/a><\/section>\n


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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/span><\/strong><\/section>\n

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