{"id":46704,"date":"2023-11-23T22:08:52","date_gmt":"2023-11-23T14:08:52","guid":{"rendered":"https:\/\/swarma.org\/?p=46704"},"modified":"2023-11-23T22:08:52","modified_gmt":"2023-11-23T14:08:52","slug":"nat-mach-intell-%e9%80%9f%e9%80%92%ef%bc%9a%e5%9c%a8%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e4%b8%ad%e7%bb%93%e5%90%88%e7%a5%9e%e7%bb%8f%e5%90%af%e5%8f%91%e7%9a%84%e9%80%82%e5%ba%94%e6%80%a7%e8%bf%9b","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=46704","title":{"rendered":"Nat. Mach. Intell.\u901f\u9012\uff1a\u5728\u4eba\u5de5\u667a\u80fd\u4e2d\u7ed3\u5408\u795e\u7ecf\u542f\u53d1\u7684\u9002\u5e94\u6027\u8fdb\u884c\u6301\u7eed\u5b66\u4e60"},"content":{"rendered":"
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\u8bba\u6587\u9898\u76ee\uff1aIncorporating neuro-inspired adaptability for continual learning in artificial intelligence<\/span><\/span><\/section>\n
\u671f\u520a\u6765\u6e90\uff1aNature Machine Intelligence<\/em><\/span><\/section>\n
\u6591\u56fe\u5730\u5740\uff1ahttps:\/\/patt<\/span>ern.swarma.org\/paper\/ba38b85a-84d5-11ee-8dba-0242ac17000e<\/span><\/span><\/section>\n
\u8bba\u6587\u5730\u5740\uff1a<\/span><\/section>\n<\/section>\n
https:\/<\/span>\/www.nature.com\/articles\/s42256-023-00747-w<\/span><\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n
\u200d<\/span>
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\u7531\u4e8e\u5916\u90e8\u73af\u5883\u5904\u5728\u6301\u7eed\u7684\u53d8\u5316\u4e2d\uff0c\u667a\u80fd\u4f53\u9700\u8981\u5728\u6574\u4e2a\u751f\u547d\u5468\u671f\u4fdd\u6301\u53ef\u5851\u6027\u4ee5\u9002\u5e94\u73af\u5883\u3002\u5f53\u73af\u5883\u6539\u53d8\u65f6\uff0c\u751f\u7269\u4f53\u4e0d\u662f\u5c06\u65e7\u7684\u8bb0\u5fc6\u5b8c\u5168\u5220\u9664\uff0c\u800c\u662f\u5c06\u5176\u6e05\u626b\u4ee5\u7559\u51fa\u7a7a\u95f4\uff0c\u7528\u4ee5\u5b66\u4e60\u65b0\u7684\u4efb\u52a1\u3002\u501f\u9274\u8fd9\u79cd\u8fdb\u5316\u8d4b\u4e88\u7684\u6301\u7eed\u5b66\u4e60\u80fd\u529b\uff0c\u662f\u8111\u542f\u53d1AI\u9886\u57df\u7684\u70ed\u70b9\u95ee\u9898\u3002\u8fd1\u65e5\u6e05\u534e\u5927\u5b66\u7684\u7814\u7a76\u8005\u5728Nature Machine Intelligence<\/em>\u4e0a\u7684\u8bba\u6587\uff0c\u63d0\u51fa\u4e86\u57fa\u4e8e\u679c\u8747\u7684\u4e3b\u52a8\u9057\u5fd8\u67b6\u6784\uff0c\u53ef\u89e3\u51b3\u707e\u96be\u6027\u9057\u5fd8\u7684\u95ee\u9898\u3002<\/span><\/section>\n

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\u5728\u751f\u7269\u4f53\u4e2d\uff0c\u4e3b\u52a8\u9057\u5fd8<\/strong>\u6307\u7684\u662f\u901a\u8fc7\u5220\u9664\u8fc7\u65f6\u4fe1\u606f\u6765\u7075\u6d3b\u5730\u9002\u5e94\u5916\u90e8\u53d8\u5316\u3002\u4e3b\u52a8\u9057\u5fd8\u4e0d\u610f\u5473\u7740\u5728\u9762\u5bf9\u65b0\u73af\u5883\u65f6\uff0c\u5b8c\u5168\u5220\u9664\u6240\u6709\u65e7\u73af\u5883\u76f8\u5173\u7684\u8bb0\u5fc6\uff0c\u800c\u662f\u9009\u62e9\u6027\u5730\u5220\u9664\u4e0e\u65b0\u73af\u5883\u4e0d\u7b26\u5408\u7684\u90e8\u5206\u3002\u901a\u8fc7\u4e3b\u52a8\u9057\u5fd8\uff0c\u751f\u7269\u4f53\u53ef\u5728\u8bb0\u5fc6\u7684\u53ef\u5851\u6027\u548c\u7a33\u5b9a\u6027\u4e4b\u95f4\u8fdb\u884c\u6743\u8861\u3002\u5f53\u524d\u795e\u7ecf\u7f51\u7edc\u5f53\u5b66\u4e60\u65b0\u4efb\u52a1\u65f6\uff0c\u4f1a\u5bfc\u81f4\u65e7\u4efb\u52a1\u7684\u6027\u80fd\u663e\u8457\u4e0b\u964d\uff0c\u8fd9\u88ab\u79f0\u4e3a\u201c\u707e\u96be\u6027\u9057\u5fd8<\/strong>\u201d\uff0c\u5df2\u6709\u591a\u79cd\u65b9\u6cd5\u8bd5\u56fe\u89e3\u51b3\u8be5\u95ee\u9898\uff0c\u5982\u4e4b\u524d\u7684\u63a8\u6587<\/span>\uff08Nat. Commun.\u901f\u9012\uff1a\u901a\u8fc7\u7c7b\u7761\u7720\u56de\u653e\u514b\u670d\u795e\u7ecf\u7f51\u7edc\u7684\u707e\u96be\u6027\u9057\u5fd8<\/a>\uff1b\u7ea4\u7ef4\u4e1b\u7406\u8bba\u89e3\u51b3\u795e\u7ecf\u7f51\u7edc\u7684\u201c\u707e\u96be\u6027\u9057\u5fd8\u201d\u95ee\u9898<\/a>\uff09<\/span>\u6a21\u4eff\u679c\u8747<\/span>\uff08Drosophila\uff09<\/span>\u8d1f\u8d23\u55c5\u89c9\u7684<\/span>\uff08Kenyon cell\uff09<\/span>KC\u795e\u7ecf\u5143\u53ca\u78e8\u83c7\u4f53<\/span>\uff08mushroom body\uff09\uff08\u56fe1a\uff09<\/span>\uff0c\u5f00\u53d1\u5177\u6709\u591a\u4e2a\u5b66\u4e60\u5668\u7684\u8111\u542f\u53d1AI\u6a21\u578b<\/span>\uff08\u56fe1b\uff09<\/span>\uff0c\u8be5\u6846\u67b6\u5c06\u4e3b\u52a8\u9057\u5fd8\u4e0e\u7a33\u5b9a\u6027\u4fdd\u62a4\u7ed3\u5408\u8d77\u6765\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u6743\u8861\u65b0\u65e7\u4fe1\u606f\uff0c\u5e76\u76f8\u5e94\u5730\u534f\u8c03\u591a\u4e2a\u6301\u7eed\u5b66\u4e60\u8005\uff0c\u786e\u4fdd\u89e3\u51b3\u65b9\u6848\u5177\u6709\u6301\u7eed\u5b66\u4e60\u7684\u80fd\u529b\u3002<\/span><\/section>\n

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\u56fe3\uff1a\u81ea\u9002\u5e94\u591a\u5b66\u4e60\u5668\u7684\u6a21\u578b\u67b6\u6784<\/span><\/section>\n

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\u5728\u6709\u76d1\u7763\u5b66\u4e60<\/span>\uff08\u56fe\u50cf\u5206\u7c7b\uff09<\/span>\u53ca\u5f3a\u5316\u5b66\u4e60<\/span>\uff08Atari\u6e38\u620f\uff09<\/span>\u4e2d\uff0c\u76f8\u6bd4\u4e4b\u524d\u7684\u65b9\u6cd5\uff0c\u589e\u52a0\u4e86\u4e3b\u52a8\u9057\u5fd8\u7684\u67b6\u6784\u5728\u5206\u7c7b\u4efb\u52a1\/\u4e0d\u540c\u6e38\u620f\u7684\u6570\u76ee\u589e\u52a0\u540e\uff0c\u5176\u8868\u73b0\u5747\u4f18\u4e8e\u4e4b\u524d\u7684\u65b9\u6cd5\uff0c\u8bc1\u660e\u65b0\u67b6\u6784\u5177\u6709\u6301\u7eed\u5b66\u4e60\u80fd\u529b\u3002<\/span><\/section>\n

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\u65e0\u8bba\u751f\u7269\u4f53\u8fd8\u662f\u667a\u80fd\u673a\u5668\u4eba\uff0c\u90fd\u9700\u8981\u6301\u7eed\u7684\u6539\u53d8\u81ea\u8eab\u4ee5\u9002\u5e94\u73af\u5883\u3002\u8be5\u7814\u7a76\u63d0\u51fa\u7684\u81ea\u9002\u5e94\u673a\u5236\uff0c\u56e0\u5176\u9c81\u68d2\u6027\u548c\u6cdb\u5316\u80fd\u529b\uff0c\u5177\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\u8303\u56f4\uff0c\u53ef\u7528\u4e8e\u81ea\u52a8\u9a7e\u9a76\u3001\u673a\u5668\u4eba\u63a7\u5236\u7b49\u4f17\u591a\u9886\u57df\u3002\u901a\u8fc7\u501f\u9274\u751f\u7269\u5927\u8111\u7684\u673a\u5236\uff0c\u4f46\u53c8\u4e0d\u662f\u673a\u68b0\u6027\u7684\u7167\u642c<\/span>\uff08\u4f8b\u5982\u8be5\u7814\u7a76\u5c06\u55c5\u89c9\u5bf9\u5e94\u7684\u7ec6\u80de\u5e94\u7528\u4e8e\u89c6\u89c9\u4efb\u52a1\uff09<\/span>\uff0c\u8be5\u7814\u7a76\u6307\u51fa\u672a\u6765\u53ef\u8fdb\u4e00\u6b65\u501f\u9274\u751f\u7269\u5927\u8111\u7684\u5176\u5b83\u673a\u5236\u4ee5\u5e94\u5bf9\u5f53\u524dAI\u754c\u9762\u5bf9\u7684\u6311\u6218\u3002<\/span><\/section>\n

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NeuroAI\u8bfb\u4e66\u4f1a<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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

NeuroAI \u8bfb\u4e66\u4f1a\u542f\u52a8\uff1a\u63a2\u7d22\u795e\u7ecf\u79d1\u5b66\u4e0e\u4eba\u5de5\u667a\u80fd\u7684\u524d\u6cbf\u4ea4\u53c9\u9886\u57df<\/a><\/span><\/strong>
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\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/p>\n<\/section>\n

\u200d<\/span>1. <\/strong>\u4e00\u4f5c\u89e3\u8bfb\uff1a\u6df1\u5ea6\u5b66\u4e60\u4e2d\u7684Neural Scaling Law (\u795e\u7ecf\u6807\u5ea6\u5f8b)\u548c\u5bf9AI+Science\u7684\u542f\u53d1<\/a><\/strong><\/span><\/strong><\/strong><\/section>\n
2.<\/strong> NeuroAI\u4f5c\u8005\uff0c\u51b7\u6cc9\u6e2f\u4e3b\u4efb\u72ec\u5bb6\u4e13\u8bbf\uff1a\u5ffd\u89c6\u795e\u7ecf\u79d1\u5b66\u7ed9\u6211\u4eec\u7684\u542f\u793a\u662f\u611a\u8822\u7684<\/a><\/strong><\/span><\/strong><\/section>\n
3.<\/strong><\/strong> \u57fa\u4e8e\u4eba\u8111\u8fde\u63a5\u7ec4\u7684\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\uff0c\u4f1a\u662f\u66f4\u597d\u7684AI\u5417\uff1f<\/a><\/strong><\/strong><\/span><\/section>\n
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4. <\/strong><\/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><\/section>\n
5. <\/strong><\/strong>\u6210\u4e3a\u96c6\u667aVIP\uff0c\u89e3\u9501\u5168\u7ad9\u8bfe\u7a0b\uff0f\u8bfb\u4e66\u4f1a<\/a><\/span><\/strong><\/strong><\/strong><\/section>\n
6. <\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/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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\u5173\u952e\u8bcd\uff1a\u6301\u7eed\u5b66\u4e60\uff0c\u8111\u542f\u53d1AI\uff0c\u707e\u96be\u6027\u9057\u5fd8\uff0c\u7ec8\u8eab\u5b66\u4e60 \u8bba\u6587\u9898\u76ee\uff1aIncorporating neuro-inspired adaptability for continual learning in artificial intelligence \u671f\u520a\u6765\u6e90\uff1aNature Machine Intelli…<\/p>\n","protected":false},"author":0,"featured_media":46695,"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\/46704"}],"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=46704"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/46704\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/46695"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=46704"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=46704"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=46704"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=46704"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}