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\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:AI\u6210\u50cf\u65b0\u65f6\u4ee3\uff0c\u89c6\u91ce\u6269\u5927271\u500d\uff0c\u4e0a\u6d77\u7406\u5de5\u5927\u5b66\u5f00\u53d1\u8d85\u5feb\u5377\u79ef\u5149\u5b66\u795e\u7ecf\u7f51\u7edc<\/a><\/p>\n

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\u7f16\u8f91\u00a0|\u00a0KX<\/p>\n

\u5377\u79ef\u795e\u7ecf\u7f51\u7edc<\/mark><\/mark>\uff08CNN\uff09\u51ed\u501f\u5176\u51fa\u8272\u7684\u56fe\u50cf\u8bc6\u522b\u80fd\u529b\uff0c\u5728\u4eba\u5de5\u667a\u80fd<\/mark>\u9886\u57df\u8868\u73b0\u51fa\u8272\uff0c\u5c24\u5176\u662f\u5728 ChatGPT \u7b49\u5e73\u53f0\u4e2d\u3002<\/p>\n

\u8fd1\u65e5\uff0c\u4e0a\u6d77\u7406\u5de5\u5927\u5b66\u56e2\u961f\u6210\u529f\u5c06 CNN \u6982\u5ff5\u5f15\u5165\u5149\u5b66\u9886\u57df\uff0c\u5b9e\u73b0\u5377\u79ef\u5168\u5149\u795e\u7ecf\u7f51\u7edc<\/mark><\/mark>\uff0c\u4e3a\u4eba\u5de5\u667a\u80fd<\/mark>\u6210\u50cf\u6280\u672f\u5e26\u6765\u4e86\u9769\u547d\u6027\u7684\u8fdb\u6b65\u3002<\/p>\n

\u7814\u7a76\u56e2\u961f\u5f00\u53d1\u4e86\u4e00\u79cd\u8d85\u5feb\u5377\u79ef\u5149\u5b66\u795e\u7ecf\u7f51\u7edc<\/mark>\uff08ONN\uff09\uff0c\u8be5\u7f51\u7edc\u65e0\u9700\u4f9d\u8d56\u5149\u5b66\u8bb0\u5fc6\u6548\u5e94\uff0c\u5373\u53ef\u5b9e\u73b0\u5bf9\u6563\u5c04\u4ecb\u8d28\u540e\u65b9\u7269\u4f53\u7684\u9ad8\u6548\u6e05\u6670\u6210\u50cf\u3002<\/p>\n

\u8be5\u795e\u7ecf\u7f51\u7edc<\/mark>\u5229\u7528\u5f3a\u6563\u5c04\u8fc7\u7a0b\u76f4\u63a5\u63d0\u53d6\u7279\u5f81\uff0c\u5b9e\u73b0\u65e0\u8bb0\u5fc6\u56fe\u50cf\u91cd\u5efa<\/mark>\uff0c\u89c6\u91ce\u6269\u5927 271 \u500d\uff0c\u8ba1\u7b97\u901f\u5ea6\u8fbe\u5230\u4e86\u6bcf\u79d2\u00a01.57\u00a0\u5343\u4e07\u4ebf\u6b21\u8fd0\u7b97\u3002<\/p>\n

\u8be5\u7814\u7a76\u4ee5\u300cMemory-less scattering imaging with ultrafast convolutional optical neural networks<\/em>\u300d\u4e3a\u9898\uff0c\u4e8e 6 \u6708 14 \u65e5\u53d1\u8868\u5728\u300aScience Advances<\/em>\u300b\u6742\u5fd7\u4e0a\u3002<\/p>\n

<\/a><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/www.science.org\/doi\/10.1126\/sciadv.adn2205<\/em><\/p>\n

\u5377\u79ef\u8fd0\u7b97\u662f CNN \u7684\u6838\u5fc3\uff0c\u4ece\u56fe\u50cf\u4e2d\u63d0\u53d6\u5c40\u90e8\u7279\u5f81\uff0c\u5e76\u9010\u5c42\u6784\u5efa\u66f4\u4e3a\u590d\u6742\u62bd\u8c61\u7684\u7279\u5f81\u8868\u793a\uff0c\u6781\u5927\u5730\u63a8\u52a8\u4e86\u56fe\u50cf\u5904\u7406<\/mark>\u548c\u6a21\u5f0f\u8bc6\u522b<\/mark>\u7b49\u9886\u57df\u7684\u53d1\u5c55\u3002\u7136\u800c\uff0c\u5c06\u5377\u79ef\u7f51\u7edc\u8fd0\u7b97\u7684\u7406\u5ff5\u5e94\u7528\u5230\u5149\u5b66\u9886\u57df\uff0c\u9762\u4e34\u7740\u5c06\u7535\u5b50\u4fe1\u53f7\u8f6c\u6362\u4e3a\u5149\u4fe1\u53f7\u7684\u6311\u6218\u3002<\/p>\n

\u590d\u6742\u6563\u5c04\u4ecb\u8d28\uff08\u5305\u62ec\u6d51\u6d4a\u7ec4\u7ec7\u548c\u6563\u6591\u5c42\uff09\u4e2d\u7684\u5149\u5b66\u8bb0\u5fc6\u6548\u5e94\uff08Optical Memory Effect\uff0cOME\uff09\u4e00\u76f4\u662f\u5b8f\u89c2\u548c\u5fae\u89c2\u6210\u50cf\u65b9\u6cd5\u7684\u91cd\u8981\u57fa\u7840\u3002\u7136\u800c\uff0c\u6ca1\u6709\u5149\u8bb0\u5fc6\u6548\u5e94\u7684\u5f3a\u6563\u5c04\u4ecb\u8d28\u7684\u56fe\u50cf\u91cd\u5efa<\/mark>\u5c1a\u672a\u5b9e\u73b0\u3002<\/p>\n

<\/a><\/p>\n

\u56fe\u793a\uff1a\u901a\u8fc7\u6563\u5c04\u5c42\u5806\u6808\u5b9e\u73b0\u65e0\u8bb0\u5fc6\u56fe\u50cf\u91cd\u5efa<\/mark>\u7684\u673a\u5236\u3002\uff08\u6765\u6e90\uff1a\u8bba\u6587\uff09<\/p>\n

\u5168\u5149\u5b66\u89e3\u51b3\u65b9\u6848\uff0c\u771f\u6b63\u7684\u5149\u5b66\u8ba1\u7b97\u901f\u5ea6<\/strong><\/p>\n

\u7814\u7a76\u56e2\u961f\u5de7\u5999\u5730\u8bbe\u8ba1\u4e86\u4e00\u79cd\u5168\u5149\u5b66\u89e3\u51b3\u65b9\u6848\uff0c\u76f4\u63a5\u5728\u5149\u57df\u8fdb\u884c\u5377\u79ef\u7f51\u7edc\u8fd0\u7b97\uff0c\u7701\u53bb\u4e86\u7e41\u7410\u7684\u4fe1\u53f7\u8f6c\u6362\u8fc7\u7a0b\uff0c\u5b9e\u73b0\u4e86\u771f\u6b63\u7684\u5149\u5b66\u8ba1\u7b97\u901f\u5ea6\u3002<\/p>\n

\u7814\u7a76\u4eba\u5458\u901a\u8fc7\u5f00\u53d1\u4e00\u4e2a\u96c6\u6210\u4e86\u591a\u4e2a\u4ee5\u5149\u901f\u8fd0\u884c\u7684\u5e76\u884c\u5185\u6838\u7684\u591a\u7ea7\u5377\u79ef\u5149\u5b66\u795e\u7ecf\u7f51\u7edc<\/mark> (ONN)\uff0c\u5c55\u793a\u4e86\u901a\u8fc7\u4e0d\u5b58\u5728\u5149\u8bb0\u5fc6\u6548\u5e94\u7684\u6563\u5c04\u5c42\u8fdb\u884c\u56fe\u50cf\u91cd\u5efa<\/mark>\u3002<\/p>\n

\u5377\u79ef ONN \u5168\u5149\u5b66\u3001\u65e0\u53c2\u8003\u3001\u65e0\u626b\u63cf\u3001\u65e0\u5bfc\u661f\uff08guide-star\u2013free\uff09\u3001\u65e0\u6807\u7b7e\uff1b\u4e0d\u9700\u8981\u7167\u660e\u63a7\u5236\u6216\u8ba1\u7b97\u91cd\u5efa\uff1b\u5e76\u4e14\u4e0d\u53d7\u8bb0\u5fc6\u6548\u5e94\u7684\u9650\u5236\u3002\u6b64\u5916\uff0c\u5b83\u53ef\u4ee5\u901a\u8fc7\u5f3a\u6563\u5c04\u4ecb\u8d28\u91cd\u5efa\u590d\u6742\u7684\u573a\u666f\u548c\u56fe\u50cf\u3002<\/p>\n

\u5377\u79ef ONN \u7531\u4e00\u4e2a\u5149\u5b66\u8f93\u5165\u5c42\u3001\u4e24\u4e2a\u5377\u79ef\u5c42\u548c\u4e00\u4e2a\u5168\u8fde\u63a5\u8f93\u51fa\u5c42\u7ec4\u6210\uff0c\u53ef\u8fdb\u884c\u5149\u901f\u5e76\u884c\u7684\u4e00\u6b65\u8ba1\u7b97\u3002\u72ec\u7279\u7684\u662f\uff0c\u5e76\u884c\u591a\u7ea7\u5149\u5b66\u5377\u79ef\u6838\u91c7\u7528\u6da1\u65cb\u548c\u968f\u673a\u7167\u660e\u76f4\u63a5\u63d0\u53d6\u7279\u5f81\u3002\u8be5\u795e\u7ecf\u7f51\u7edc<\/mark>\u53ef\u901a\u8fc7\u5f3a\u6563\u5c04\u8fc7\u7a0b\u8fdb\u884c\u8bad\u7ec3\uff0c\u4f7f\u89c6\u91ce\uff08Field of view\uff09\u6269\u5927 271 \u500d\u3002<\/p>\n

\u8fd9\u4e00\u8fc7\u7a0b\u4e0d\u4ec5\u5927\u5927\u63d0\u9ad8\u4e86\u6210\u50cf\u901f\u5ea6\uff0c\u800c\u4e14\u663e\u8457\u589e\u5f3a\u4e86\u56fe\u50cf\u8d28\u91cf\uff0c\u4f7f\u5f97\u5728\u590d\u6742\u6563\u5c04\u73af\u5883\u4e0b\u6210\u50cf\u6210\u4e3a\u53ef\u80fd\u3002\u800c\u4e14\uff0c\u5377\u79ef ONN \u7684\u8ba1\u7b97\u901f\u5ea6\u8fbe\u5230\u4e86\u6bcf\u79d2 1.57 \u5343\u4e07\u4ebf\u6b21\u8fd0\u7b97\uff08POPS\uff09\uff0c\u4e3a\u5b9e\u65f6\u52a8\u6001\u6210\u50cf\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u652f\u6301\u3002\u8fd9\u4e3a\u56fe\u5f62\u5904\u7406\u5efa\u7acb\u4e86\u4e00\u4e2a\u8d85\u5feb\u3001\u9ad8\u80fd\u6548\u7684\u5149\u5b66\u673a\u5668\u5b66\u4e60<\/mark>\u5e73\u53f0\u3002<\/p>\n

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\u7ed3\u679c\u8868\u660e\uff0c\u5f53\u6563\u5c04\u677f\u95f4\u8ddd\uff08d\uff09\u589e\u52a0\u65f6\uff0c\u5377\u79ef ONN \u8868\u73b0\u51fa\u57fa\u672c\u76f8\u540c\u7684\u6027\u80fd\u3002\u5728\u53cc\u5c42\u65e0\u8bb0\u5fc6\u6563\u5c04\u7684\u60c5\u51b5\u4e0b\uff0c\u5377\u79ef ONN \u53ef\u4ee5\u5b66\u4e60\u6563\u6591\u56fe\u6848\u548c\u8f93\u5165\u5bf9\u8c61\u4e4b\u95f4\u7684\u4f4e\u7ea7\u7eb9\u7406\u7684\u53ef\u6cdb\u5316\u6620\u5c04<\/mark>\u3002\u56e0\u6b64\uff0c\u6240\u63d0\u51fa\u7684\u5377\u79ef ONN \u53ef\u4ee5\u91cd\u5efa\u672a\u77e5\u7269\u4f53\u3002<\/p>\n

<\/a><\/p>\n

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\u5b9e\u65f6\u65e0\u8bb0\u5fc6\u56fe\u50cf\u91cd\u5efa<\/mark><\/strong><\/p>\n

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\u7ed3\u679c\u5982\u4e0b\u56fe\u6240\u793a\u3002\u53ef\u4ee5\u770b\u51fa\uff0c\u5377\u79ef ONN \u53ef\u4ee5\u5728\u7ed9\u5b9a\u7684\u5e27\u901f\u7387\u4e0b\u6839\u636e\u6563\u6591\u56fe\u6848\u6b63\u786e\u63a8\u65ad\u6216\u91cd\u5efa\u56fe\u50cf\uff0c\u5c55\u793a\u4e86\u5927\u7ea6 1.57 POPS \u7684\u8ba1\u7b97\u80fd\u529b\u3002<\/p>\n

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\u56fe\u793a\uff1a\u53ef\u8bad\u7ec3\u5377\u79ef ONN \u7684\u52a8\u6001\u548c\u591a\u4efb\u52a1\u6027\u80fd\u7684\u6f14\u793a\u3002\uff08\u6765\u6e90\uff1a\u8bba\u6587\uff09<\/p>\n

\u4e3a\u5149\u5b66\u6210\u50cf\u6280\u672f\u5f00\u8f9f\u65b0\u9014\u5f84<\/strong><\/p>\n

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