{"id":46262,"date":"2023-11-04T22:51:10","date_gmt":"2023-11-04T14:51:10","guid":{"rendered":"https:\/\/swarma.org\/?p=46262"},"modified":"2023-11-04T22:51:10","modified_gmt":"2023-11-04T14:51:10","slug":"%e5%8c%bb%e5%ad%a6%e5%9b%be%e5%83%8f%e5%9f%ba%e7%a1%80%e6%a8%a1%e5%9e%8b%e5%89%8d%e6%b2%bf%ef%bc%9a%e5%9f%ba%e4%ba%8etwitter%e7%9a%84%e7%97%85%e7%90%86%e5%9b%be%e5%83%8f%e4%b8%8e%e7%9c%bc%e7%a7%91","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=46262","title":{"rendered":"\u533b\u5b66\u56fe\u50cf\u57fa\u7840\u6a21\u578b\u524d\u6cbf\uff1a\u57fa\u4e8eTwitter\u7684\u75c5\u7406\u56fe\u50cf\u4e0e\u773c\u79d1\u89c6\u7f51\u819c\u56fe\u50cf | \u5468\u65e5\u76f4\u64ad\u00b7\u751f\u7269\u533b\u5b66\u5927\u6a21\u578b\u8bfb\u4e66\u4f1a"},"content":{"rendered":"
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Zhi Huang<\/span><\/strong>\uff0c\u65af\u5766\u798f\u5927\u5b66\u7684\u535a\u58eb\u540e\u7814\u7a76\u5458\u30022021\u5e748\u6708\u4e8e\u666e\u6e21\u5927\u5b66\u7535\u6c14\u4e0e\u8ba1\u7b97\u673a\u5de5\u7a0b\uff08ECE\uff09\u83b7\u5f97\u535a\u58eb\u5b66\u4f4d\u3002\u5728\u6b64\u4e4b\u524d\uff0c\u4ed6\u83b7\u5f97\u4e86\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u7535\u5b50\u4fe1\u606f\u5de5\u7a0b\u5b66\u9662\u5b66\u58eb\u5b66\u4f4d\u3002\u4ed6\u7684\u80cc\u666f\u662f\u4eba\u5de5\u667a\u80fd\u3001\u6570\u5b57\u75c5\u7406\u5b66\u548c\u8ba1\u7b97\u751f\u7269\u5b66\u9886\u57df\u3002<\/span><\/section>\n

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Huang, Z., Bianchi, F., Yuksekgonul, M. et al. A visual\u2013language foundation model for pathology image analysis using medical Twitter. Nat Med 29, 2307\u20132316 (2023). https:\/\/doi.org\/10.1038\/s41591-023-02504-3<\/span><\/section>\n

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2023\u5e7411\u67085\u65e5\uff08\u672c\u5468\u65e5\uff09\u4e0a\u5348 10:00-11:00<\/span><\/section>\n
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\u5728\u533b\u5b66\u9886\u57df\uff0c\u773c\u79d1\u56fe\u50cf\u7684\u5206\u6790\u548c\u75be\u75c5\u8bca\u65ad\u4e00\u76f4\u90fd\u662f\u4e00\u9879\u5145\u6ee1\u6311\u6218\u7684\u4efb\u52a1\u3002\u8fd9\u4e9b\u56fe\u50cf\u53ef\u80fd\u5305\u62ec\u89c6\u7f51\u819c\u626b\u63cf\u3001\u773c\u5e95\u7167\u7247\u548c\u5176\u4ed6\u773c\u79d1\u5f71\u50cf\uff0c\u7528\u4e8e\u68c0\u6d4b\u773c\u90e8\u75be\u75c5\uff0c\u5982\u9752\u5149\u773c\u3001\u767d\u5185\u969c\u3001\u7cd6\u5c3f\u75c5\u6027\u89c6\u7f51\u819c\u75c5\u53d8\u7b49\u3002\u7136\u800c\uff0c\u773c\u79d1\u56fe\u50cf\u5206\u6790\u9762\u4e34\u4ee5\u4e0b\u56f0\u96be\u3002\u773c\u79d1\u56fe\u50cf\u6db5\u76d6\u4e86\u5e7f\u6cdb\u7684\u75be\u75c5\u548c\u75c5\u53d8\uff0c\u6bcf\u4e00\u79cd\u90fd\u53ef\u80fd\u8868\u73b0\u51fa\u591a\u79cd\u4e0d\u540c\u7684\u6a21\u5f0f\u548c\u7279\u5f81\u3002\u8fd9\u591a\u6837\u6027\u4f7f\u5f97\u5f00\u53d1\u901a\u7528\u6027\u6a21\u578b\u53d8\u5f97\u590d\u6742\uff0c\u9700\u8981\u5927\u91cf\u7684\u6807\u8bb0\u6570\u636e\u3002\u540c\u65f6\uff0c\u8981\u8bad\u7ec3\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u901a\u5e38\u9700\u8981\u5927\u91cf\u7684\u6807\u8bb0\u6570\u636e\uff0c\u4f46\u533b\u5b66\u56fe\u50cf\u7684\u6807\u6ce8\u901a\u5e38\u9700\u8981\u4e13\u4e1a\u533b\u751f\u7684\u53c2\u4e0e\uff0c\u6210\u672c\u9ad8\u6602\uff0c\u65f6\u95f4\u8017\u8d39\u5927\u3002\u8fd9\u662f\u56e0\u4e3a\u89e3\u91ca\u773c\u79d1\u56fe\u50cf\u9700\u8981\u4e30\u5bcc\u7684\u533b\u5b66\u77e5\u8bc6\uff0c\u800c\u975e\u4e13\u4e1a\u4eba\u5458\u96be\u4ee5\u7406\u89e3\u56fe\u50cf\u4e2d\u7684\u7ec6\u5fae\u5dee\u5f02\u3002\u7136\u800c\uff0c\u4e00\u4e9b\u773c\u90e8\u75be\u75c5\u9700\u8981\u5728\u65e9\u671f\u5c31\u88ab\u53d1\u73b0\u548c\u6cbb\u7597\uff0c\u56e0\u4e3a\u5ef6\u8bef\u53ef\u80fd\u5bfc\u81f4\u4e0d\u53ef\u9006\u7684\u635f\u5bb3\u3002\u56e0\u6b64\uff0c\u5feb\u901f\u800c\u51c6\u786e\u7684\u75be\u75c5\u8bca\u65ad\u81f3\u5173\u91cd\u8981\u3002<\/span><\/section>\n

<\/section>\n
\u5728\u8fd9\u4e2a\u80cc\u666f\u4e0b\uff0c\u5468\u7389\u6606\u535a\u58eb\u5f00\u53d1\u7684RETFound\u7684\u51fa\u73b0\u53d8\u5f97\u5c24\u4e3a\u91cd\u8981\u3002RETFound\u662f\u4e00\u79cd\u57fa\u4e8e\u81ea\u6211\u76d1\u7763\u5b66\u4e60\u7684\u89c6\u7f51\u819c\u56fe\u50cf\u57fa\u7840\u6a21\u578b\uff0c\u5b83\u901a\u8fc7\u5927\u89c4\u6a21\u7684\u672a\u6807\u8bb0\u56fe\u50cf\u8bad\u7ec3\uff0c\u53ef\u4ee5\u5b66\u4e60\u5230\u5e7f\u6cdb\u7684\u89c6\u7f51\u819c\u7279\u5f81\u548c\u75be\u75c5\u6a21\u5f0f\u3002\u8fd9\u610f\u5473\u7740\u5b83\u53ef\u4ee5\u5728\u6ca1\u6709\u5927\u91cf\u4e13\u4e1a\u6807\u6ce8\u6570\u636e\u7684\u60c5\u51b5\u4e0b\u8fdb\u884c\u8bad\u7ec3\uff0c\u4ece\u800c\u514b\u670d\u4e86\u6570\u636e\u7a00\u7f3a\u6027\u7684\u95ee\u9898\u3002RETFound\u7684\u81ea\u6211\u76d1\u7763\u5b66\u4e60\u65b9\u6cd5\u8fd8\u6709\u52a9\u4e8e\u63d0\u9ad8\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\uff0c\u56e0\u4e3a\u5b83\u53ef\u4ee5\u81ea\u52a8\u6355\u6349\u5230\u4e0d\u540c\u7c7b\u578b\u7684\u89c6\u7f51\u819c\u56fe\u50cf\u7279\u5f81\u3002\u8fd9\u4f7f\u5f97RETFound\u80fd\u591f\u9002\u7528\u4e8e\u591a\u79cd\u4e34\u5e8a\u5e94\u7528\uff0c\u5305\u62ec\u773c\u75c5\u7684\u65e9\u671f\u68c0\u6d4b\u3001\u9884\u6d4b\u548c\u590d\u6742\u7cfb\u7edf\u6027\u75be\u75c5\u7684\u4e8b\u4ef6\u9884\u6d4b\u3002<\/span><\/section>\n

<\/section>\n

\u5927\u7eb2\u4ecb\u7ecd<\/span><\/strong><\/span><\/p>\n

1. \u80cc\u666f<\/span><\/strong><\/p>\n

– \u773c\u79d1\u89c6\u7f51\u819c\u56fe\u50cf\u5728\u75be\u75c5\u8bca\u65ad\u548c\u9884\u6d4b\u4e2d\u7684\u91cd\u8981\u6027<\/span><\/p>\n

– \u4f20\u7edf\u533b\u5b66\u56fe\u50cf\u5904\u7406\u65b9\u6cd5\u7684\u9650\u5236<\/span><\/p>\n

2. RETFound\uff1a\u89c6\u7f51\u819c\u56fe\u50cf\u7684\u57fa\u7840\u6a21\u578b<\/span><\/strong><\/p>\n

– \u6a21\u578b\u7684\u81ea\u6211\u76d1\u7763\u5b66\u4e60\u8bad\u7ec3\u8fc7\u7a0b<\/span><\/p>\n

– RETFound\u7684\u6a21\u578b\u6027\u80fd<\/span><\/p>\n

3 RETFound\u7684\u5e94\u7528\u524d\u666f\u53ca\u4e34\u5e8a\u4ef7\u503c<\/span><\/strong><\/section>\n

<\/section>\n
\u8bb2\u8005\u4ecb\u7ecd<\/span><\/strong><\/span><\/section>\n
<\/section>\n
\u5468\u7389\u6606<\/span><\/strong>\uff0c\u4f26\u6566\u5927\u5b66\u5b66\u9662(UCL)\u548cMoorfields\u773c\u79d1\u533b\u9662\u5728\u8bfb\u535a\u58eb\uff0c\u7814\u7a76\u65b9\u5411\u4e3a\u89c6\u7f51\u819c\u56fe\u7247\u5206\u6790\u548c\u5927\u89c4\u6a21\u4e34\u5e8a\u6570\u636e\u4e0a\u7684\u8f6c\u6362\u7814\u7a76\u30022022\u5e74\u4ee5\u7b2c\u4e00\u4f5c\u8005\u53d1\u5e03\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u89c6\u7f51\u819c\u56fe\u50cf\u5206\u6790\u5de5\u5177AutoMorph\uff0c\u662f\u8be5\u9886\u57df\u9996\u4e2a\u5f00\u6e90\u7684\u5168\u81ea\u52a8\u5316\u56fe\u7247\u8ba1\u7b97\u5de5\u5177\uff0c\u76f8\u5173\u5e94\u7528\u53d1\u8868\u4e8eJama Psychiatry\u548ccell metabolism\u7b49\u671f\u520a\u30022023\u5e74\u4ee5\u7b2c\u4e00\u4f5c\u8005\u517c\u901a\u8baf\u5728Nature\u4e0a\u53d1\u8868RETFound\uff0c\u773c\u79d1\u9886\u57df\u7684\u7b2c\u4e00\u4e2a\u5927\u89c4\u6a21\u4e34\u5e8a\u6570\u636e\u8bad\u7ec3\u7684\u57fa\u7840\u6a21\u578b\u3002\u76f8\u5173\u7814\u7a76\u88abScienMag, MedicalXpress, ScienceDaily\u7b49\u65b0\u95fb\u793e\u62a5\u9053\u3002\u83b7\u5f97UCL inaugural Open Science and Scholarship Award.<\/span><\/section>\n

<\/section>\n
\u6240\u6d89\u53ca\u5230\u7684\u53c2\u8003\u6587\u732e\uff1a<\/span><\/strong><\/section>\n
Zhou, Y., Chia, M. A., Wagner, S. K., Ayhan, M. S., Williamson, D. J., Struyven, R. R., … & Keane, P. A. (2023). A foundation model for generalizable disease detection from retinal images. Nature, 1-8.<\/span><\/section>\n

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\u53c2\u4e0e\u65b9\u5f0f<\/span><\/strong><\/span><\/section>\n
\u6d3b\u52a8\u65f6\u95f4<\/span><\/strong><\/section>\n
2023\u5e7411\u67085\u65e5\uff08\u672c\u5468\u65e5\uff09\u665a\u4e0a 20:00-21:00<\/span><\/section>\n

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\u7ebf\u4e0a\u4f1a\u8bae\u5ba4\uff08\u4ec5\u6709\u817e\u8baf\u4f1a\u8bae\u5ba4\uff0c\u65e0B\u7ad9\u89c6\u9891\u53f7\u76f4\u64ad\uff09<\/span><\/strong><\/section>\n
\u626b\u7801\u53c2\u4e0e\u5927\u6a21\u578b\u4e0e\u751f\u7269\u533b\u5b66\u8bfb\u4e66\u4f1a\uff0c\u52a0\u5165\u7fa4\u804a\uff0c\u83b7\u53d6\u7cfb\u5217\u8bfb\u4e66\u4f1a\u56de\u770b\u6743\u9650\uff0c\u6210\u4e3a\u5927\u6a21\u578b\u4e0e\u751f\u7269\u79d1\u5b66\u8bfb\u4e66\u4f1a\u7684\u79cd\u5b50\u7528\u6237\uff0c\u4e0e\u793e\u533a\u7684\u4e00\u7ebf\u79d1\u7814\u5de5\u4f5c\u8005\u4e0e\u4f01\u4e1a\u5b9e\u8df5\u8005\u6c9f\u901a\u4ea4\u6d41\uff0c\u5171\u540c\u63a8\u52a8AI+Science\u793e\u533a\u7684\u53d1\u5c55\u3002<\/span><\/section>\n
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\u5927\u6a21\u578b\u4e0e\u751f\u7269\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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<\/p>\n<\/section>\n

\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>\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\u670820\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\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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<\/span><\/a><\/p>\n


<\/p>\n

\u8be6\u60c5\u8bf7\u89c1\uff1a<\/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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AI+Science \u8bfb\u4e66\u4f1a<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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

AI+Science \u662f\u8fd1\u5e74\u5174\u8d77\u7684\u5c06\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u76f8\u7ed3\u5408\u7684\u4e00\u79cd\u8d8b\u52bf\u3002\u4e00\u65b9\u9762\u662f AI for Science\uff0c\u673a\u5668\u5b66\u4e60\u548c\u5176\u4ed6 AI \u6280\u672f\u53ef\u4ee5\u7528\u6765\u89e3\u51b3\u79d1\u5b66\u7814\u7a76\u4e2d\u7684\u95ee\u9898\uff0c\u4ece\u9884\u6d4b\u5929\u6c14\u548c\u86cb\u767d\u8d28\u7ed3\u6784\uff0c\u5230\u6a21\u62df\u661f\u7cfb\u78b0\u649e\u3001\u8bbe\u8ba1\u4f18\u5316\u6838\u805a\u53d8\u53cd\u5e94\u5806\uff0c\u751a\u81f3\u50cf\u79d1\u5b66\u5bb6\u4e00\u6837\u8fdb\u884c\u79d1\u5b66\u53d1\u73b0\uff0c\u88ab\u79f0\u4e3a\u79d1\u5b66\u53d1\u73b0\u7684\u201c\u7b2c\u4e94\u8303\u5f0f\u201d\u3002\u53e6\u4e00\u65b9\u9762\u662f Science for AI\uff0c\u79d1\u5b66\u5c24\u5176\u662f\u7269\u7406\u5b66\u4e2d\u7684\u89c4\u5f8b\u548c\u601d\u60f3\u542f\u53d1\u673a\u5668\u5b66\u4e60\u7406\u8bba\uff0c\u4e3a\u4eba\u5de5\u667a\u80fd\u7684\u53d1\u5c55\u63d0\u4f9b\u5168\u65b0\u7684\u89c6\u89d2\u548c\u65b9\u6cd5\u3002<\/span><\/section>\n

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\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u65af\u5766\u798f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u535a\u58eb\u540e\u7814\u7a76\u5458\u5434\u6cf0\u9716\uff08Jure Leskovec \u6559\u6388\u6307\u5bfc\uff09\u3001\u54c8\u4f5b\u91cf\u5b50\u8ba1\u5212\u7814\u7a76\u5458\u6248\u9e3f\u4e1a\u3001\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u7269\u7406\u7cfb\u535a\u58eb\u751f\u5218\u5b50\u9e23\uff08Max Tegmark \u6559\u6388\u6307\u5bfc\uff09\uff0c\u5171\u540c\u53d1\u8d77\u4ee5\u201cAI+Science<\/a>\u201d\u4e3a\u4e3b\u9898\u7684\u8bfb\u4e66\u4f1a\uff0c\u63a2\u8ba8\u8be5\u9886\u57df\u7684\u91cd\u8981\u95ee\u9898\uff0c\u5171\u5b66\u5171\u7814\u76f8\u5173\u6587\u732e\u3002\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><\/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><\/section>\n


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