{"id":18925,"date":"2024-09-03T12:05:05","date_gmt":"2024-09-03T12:05:05","guid":{"rendered":"https:\/\/www.bluelsqkj.com\/?p=18925"},"modified":"2024-09-03T12:05:05","modified_gmt":"2024-09-03T12:05:05","slug":"ai%e5%ae%a0%e7%89%a9%e5%b1%95%ef%bd%9c%e8%b5%8b%e8%83%bd%e5%ae%a0%e7%89%a9%e7%bb%8f%e6%b5%8e%ef%bc%9a%e6%95%b0%e7%99%be%e4%ba%bf%e5%b8%82%e5%9c%ba%e8%83%8c%e5%90%8e%e7%9a%84%e6%99%ba%e8%83%bd","status":"publish","type":"post","link":"https:\/\/www.bluelsqkj.com\/de\/archives\/18925","title":{"rendered":"AI+\u5ba0\u7269\u5c55\uff5c\u8d4b\u80fd\u5ba0\u7269\u7ecf\u6d4e\uff1a\u6570\u767e\u4ebf\u5e02\u573a\u80cc\u540e\u7684\u667a\u80fd\u9769\u547d"},"content":{"rendered":"
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\u968f\u7740\u4e2d\u4ea7\u9636\u7ea7\u4eba\u53e3\u7684\u589e\u957f\u548c\u751f\u6d3b\u6c34\u5e73\u7684\u63d0\u9ad8\uff0c\u8d8a\u6765\u8d8a\u591a\u7684\u5bb6\u5ead\u9009\u62e9\u517b\u5ba0\u7269\u4f5c\u4e3a\u751f\u6d3b\u7684\u4e00\u90e8\u5206\u3002<\/span><\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/section>\n<\/section>\n
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\u5728\u4e0a\u670821\u65e5\u523025\u65e5\uff0c\u4e9a\u6d32\u5ba0\u7269\u535a\u89c8\u4f1a<\/strong>\u5728\u4e0a\u6d77\u6210\u529f\u4e3e\u884c\uff0c\u6c47\u805a2500\u591a\u4e2a\u6d77\u5185\u5916\u5c55\u5546\uff0c\u540c\u671f\u5c06\u4e3e\u529e67\u573a\u4f1a\u8bae\u6d3b\u52a8\u300156\u573a\u6d88\u8d39\u8005\u6d3b\u52a8\u3002<\/section>\n
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\u516c\u4f17\u6559\u80b2\u548c\u610f\u8bc6\u63d0\u5347\uff1a<\/strong><\/section>\n
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\u653f\u7b56\u4e0e\u6cd5\u89c4\u73af\u5883\uff1a<\/strong><\/section>\n
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AI\u5728\u5ba0\u7269\u7528\u54c1\u4e2d\u7684\u5e94\u7528\u4e0e\u521b\u65b0<\/strong><\/p>\n<\/section>\n
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1. \u667a\u80fd\u76d1\u63a7\u4e0e\u5065\u5eb7\u7ba1\u7406\uff1a<\/section>\n
\u5229\u7528\u673a\u5668\u5b66\u4e60\uff08Machine Learning\uff09<\/strong>\u7b97\u6cd5\uff0c\u667a\u80fd\u8bbe\u5907\u53ef\u4ee5\u5b9e\u65f6\u76d1\u6d4b\u5ba0\u7269\u7684\u884c\u4e3a\u548c\u5065\u5eb7\u72b6\u51b5\uff0c\u5982\u6d3b\u52a8\u6c34\u5e73\u3001\u5fc3\u7387\u548c\u7761\u7720\u6a21\u5f0f\uff0c\u4ece\u800c\u5e2e\u52a9\u5ba0\u7269\u4e3b\u53ca\u65f6\u4e86\u89e3\u5e76\u5e94\u5bf9\u5ba0\u7269\u7684\u5065\u5eb7\u9700\u6c42<\/section>\n
2.\u00a0\u00a0 \u5b9a\u5236\u5316\u4ea7\u54c1\u63a8\u8350:<\/section>\n
\u6570\u636e\u6316\u6398\uff08Data Mining\uff09<\/strong>\u6280\u672f\u4f7f\u5f97\u4f01\u4e1a\u80fd\u591f\u5206\u6790\u5927\u91cf\u7684\u6d88\u8d39\u8005\u6570\u636e\uff0c\u6839\u636e\u5ba0\u7269\u7684\u5e74\u9f84\u3001\u79cd\u7c7b\u548c\u5065\u5eb7\u72b6\u51b5\u63d0\u4f9b\u4e2a\u6027\u5316\u7684\u4ea7\u54c1\u63a8\u8350\uff0c\u5982\u7279\u5b9a\u7684\u8425\u517b\u98df\u54c1\u6216\u73a9\u5177\u3002<\/section>\n
3. \u00a0 \u81ea\u52a8\u5582\u98df\u5668\u4e0e\u4ea4\u4e92\u5f0f\u73a9\u5177\uff1a<\/section>\n
\u5229\u7528\u884c\u4e3a\u8bc6\u522b\uff08Behavior Recognition\uff09<\/strong>\u6280\u672f\uff0c\u81ea\u52a8\u5582\u98df\u5668\u53ef\u4ee5\u6839\u636e\u5ba0\u7269\u7684\u996e\u98df\u4e60\u60ef\u548c\u6d3b\u52a8\u91cf\u81ea\u52a8\u8c03\u6574\u5582\u98df\u8ba1\u5212\uff0c\u800c\u4ea4\u4e92\u5f0f\u73a9\u5177\u5219\u80fd\u901a\u8fc7\u6df1\u5ea6\u5b66\u4e60\uff08Deep Learning\uff09<\/strong>\u8bc6\u522b\u5ba0\u7269\u7684\u4e92\u52a8\u6a21\u5f0f\uff0c\u63d0\u4f9b\u9002\u65f6\u7684\u53cd\u9988\u548c\u5a31\u4e50\u3002<\/section>\n
4. \u00a0 \u884c\u4e3a\u5206\u6790\u4e0e\u8bad\u7ec3\u652f\u6301\uff1a<\/section>\n
\u8ba1\u7b97\u673a\u89c6\u89c9\uff08Computer Vision\uff09<\/strong>\u6280\u672f\u53ef\u4ee5\u7528\u4e8e\u76d1\u63a7\u5ba0\u7269\u7684\u884c\u4e3a\uff0c\u901a\u8fc7\u89c6\u9891\u5206\u6790\u6765\u8bc6\u522b\u884c\u4e3a\u95ee\u9898\u6216\u8bad\u7ec3\u9700\u6c42\uff0c\u5e76\u63d0\u4f9b\u5b9a\u5236\u5316\u7684\u8bad\u7ec3\u5efa\u8bae\uff0c\u5e2e\u52a9\u5ba0\u7269\u4e3b\u6539\u5584\u5ba0\u7269\u7684\u884c\u4e3a\u5065\u5eb7\u3002<\/section>\n
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5. \u00a0 \u4f9b\u5e94\u94fe\u4f18\u5316\uff1a<\/section>\n
\u9884\u6d4b\u5206\u6790\uff08Predictive Analytics\uff09<\/strong>\u6280\u672f\u5e2e\u52a9\u4f01\u4e1a\u901a\u8fc7\u5206\u6790\u5386\u53f2\u9500\u552e\u6570\u636e\u548c\u5e02\u573a\u8d8b\u52bf\u6765\u9884\u6d4b\u672a\u6765\u7684\u4ea7\u54c1\u9700\u6c42\uff0c\u4ece\u800c\u4f18\u5316\u5e93\u5b58\u7ba1\u7406\u548c\u51cf\u5c11\u4f9b\u5e94\u94fe\u4e2d\u65ad\u3002<\/section>\n
6. \u00a0 \u5ba2\u6237\u670d\u52a1\u4e0e\u652f\u6301\uff1a<\/section>\n
\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08Natural Language Processing, NLP\uff09\u548c<\/strong>\u60c5\u611f\u5206\u6790\u6280\u672f\uff08\u5982NADER\uff09<\/strong>\u6280\u672f\uff0c\u53ef\u4ee5\u667a\u80fd\u5316\u5206\u6790\u5ba0\u7269\u60c5\u7eea\u3002<\/section>\n
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\u5ba0\u7269\u5c55\u4f18\u79c0\u5c55\u54c1\u793a\u4f8b<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
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    \u667a\u80fd\u732b\u7802\u76c6<\/strong><\/section>\n<\/section>\n<\/li>\n<\/ul>\n
    \u5e02\u9762\u4e0a\u591a\u6570\u667a\u80fd\u732b\u7802\u76c6\u914d\u5907\u4ee5\u4e0b\u4e3b\u8981\u529f\u80fd\uff1a
    \n1.\u81ea\u52a8\u6e05\u7406\u548c\u6d88\u81ed\u529f\u80fd<\/strong><\/section>\n
    \u667a\u80fd\u732b\u7802\u76c6\u901a\u5e38\u914d\u5907\u81ea\u52a8\u6e05\u7406\u529f\u80fd\uff0c\u80fd\u591f\u5728\u732b\u54aa\u4f7f\u7528\u540e\u81ea\u52a8\u7b5b\u9009\u548c\u6e05\u9664\u5e9f\u7269\uff0c\u4ee5\u63a7\u5236\u81ed\u5473\u548c\u51cf\u5c11\u7ec6\u83cc\u4f20\u64ad\uff0c\u51cf\u5c11\u4e86\u732b\u4e3b\u9700\u8981\u624b\u52a8\u6e05\u7406\u732b\u7802\u7684\u6b21\u6570\u3002<\/section>\n
    \u667a\u80fd\u732b\u7802\u76c6\u4f7f\u7528AutoML\u6280\u672f<\/strong>\u6765\u4f18\u5316\u5176\u81ea\u52a8\u6e05\u7406\u7b97\u6cd5\u3002\u8fd9\u79cd\u6280\u672f\u901a\u8fc7\u81ea\u52a8\u9009\u62e9\u6700\u5408\u9002\u7684\u6a21\u578b\u548c\u53c2\u6570\u6765\u6539\u8fdb\u673a\u5668\u5b66\u4e60\u8fc7\u7a0b\uff0c\u786e\u4fdd\u732b\u7802\u76c6\u5728\u5404\u79cd\u4f7f\u7528\u6761\u4ef6\u4e0b\u90fd\u80fd\u6709\u6548\u5de5\u4f5c\u3002\u8fd9\u4e00\u4e3b\u8981\u529f\u80fd\u540c\u6837\u4f9d\u8d56\u4e8e\u6570\u636e\u9a71\u52a8\u7684\u51b3\u7b56\u652f\u6301\u7cfb\u7edf\uff08<\/strong>Data-Driven Decision Support Systems\uff09\uff0c\u6536\u96c6\u548c\u5206\u6790\u6765\u81ea\u732b\u7802\u76c6\u7684\u5927\u91cf\u6570\u636e\u3002<\/section>\n
    2. \u5065\u5eb7\u76d1\u6d4b<\/strong><\/section>\n
    \u901a\u8fc7\u96c6\u6210\u7684\u4f20\u611f\u5668\uff08Sensor Fusion\uff09<\/strong>\u548c\u6570\u636e\u5206\u6790\u6280\u672f\uff0c\u667a\u80fd\u732b\u7802\u76c6\u80fd\u591f\u76d1\u6d4b\u732b\u54aa\u7684\u6392\u6cc4\u4e60\u60ef\uff0c\u5982\u9891\u7387\u3001\u91cf\u548c\u65f6\u95f4\u3002\u8fd9\u4e9b\u6570\u636e\u53ef\u4ee5\u5e2e\u52a9\u732b\u4e3b\u8ffd\u8e2a\u5ba0\u7269\u7684\u5065\u5eb7\u72b6\u51b5\uff0c\u53ca\u65e9\u53d1\u73b0\u53ef\u80fd\u7684\u5065\u5eb7\u95ee\u9898\uff0c\u5982\u6ccc\u5c3f\u7cfb\u7edf\u75be\u75c5\u6216\u6d88\u5316\u95ee\u9898\u3002\u67d0\u4e9b\u9ad8\u7aef\u6a21\u578b\u751a\u81f3\u80fd\u5206\u6790\u732b\u54aa\u7684\u4f53\u91cd\u548c\u6392\u6cc4\u7269\u7684\u8d28\u91cf\u3002<\/section>\n
    3. \u8fdc\u7a0b\u76d1\u63a7\u548c\u5e94\u7528\u63a7\u5236<\/strong><\/section>\n
    \u8bb8\u591a\u667a\u80fd\u732b\u7802\u76c6\u53ef\u4ee5\u901a\u8fc7Wi-Fi\u8fde\u63a5\u5230\u79fb\u52a8\u5e94\u7528\uff0c\u5141\u8bb8\u732b\u4e3b\u8fdc\u7a0b\u76d1\u63a7\u732b\u54aa\u7684\u536b\u751f\u4e60\u60ef\u548c\u732b\u7802\u76c6\uff0c\u6b64\u529f\u80fd\u4f9d\u8d56\u4e8e\u7269\u8054\u7f51\uff08<\/strong>IoT\uff09\uff0c\u901a\u8fc7\u79fb\u52a8\u5e94\u7528\u8fdc\u7a0b\u63a7\u5236\u3002\u5e94\u7528\u7a0b\u5e8f\u754c\u9762\u901a\u5e38\u5305\u62ec\u6e05\u7406\u5468\u671f\u7684\u8bbe\u7f6e\u3001\u6d88\u8017\u54c1\uff08\u5982\u732b\u7802\uff09\u7684\u66f4\u6362\u63d0\u9192\u4ee5\u53ca\u5386\u53f2\u6570\u636e\u5206\u6790\uff0c\u4f7f\u5f97\u732b\u4e3b\u5728\u5916\u51fa\u65f6\u4ecd\u80fd\u4fdd\u6301\u5bf9\u5ba0\u7269\u536b\u751f\u7684\u7ba1\u7406\u3002<\/section>\n
    4. \u9002\u5e94\u6027\u548c\u667a\u80fd\u8c03\u8282<\/strong><\/section>\n
    \u9ad8\u7ea7\u667a\u80fd\u732b\u7802\u76c6\u80fd\u591f\u6839\u636e\u732b\u54aa\u7684\u5927\u5c0f\u548c\u4f7f\u7528\u4e60\u60ef\u8c03\u6574\u6e05\u7406\u7a0b\u5e8f\u548c\u7802\u91cf\u3002\u4f8b\u5982\uff0c\u8bbe\u5907\u53ef\u4ee5\u8bc6\u522b\u591a\u732b\u5bb6\u5ead\u4e2d\u54ea\u53ea\u732b\u4f7f\u7528\u4e86\u7802\u76c6\uff0c\u5e76\u8c03\u6574\u6e05\u7406\u7684\u9891\u7387\u548c\u5f3a\u5ea6\uff0c\u4ee5\u4fdd\u6301\u7802\u76c6\u7684\u6e05\u6d01\u548c\u536b\u751f\u3002\u8fd9\u9879\u529f\u80fd\u8fd0\u7528\u4e86\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\uff08Artificial Neural Networks, ANN\uff09\uff0c\u96c6\u5408\u4e86\u732b\u54aa\u7684\u6d3b\u52a8\u6a21\u5f0f\u548c\u751f\u7406\u4fe1\u53f7\u3002<\/section>\n
    \u4f18\u79c0\u4ea7\u54c1\uff0c\u5982CATLINK\u7684\u5168\u81ea\u52a8\u732b\u7802\u76c6ProX:<\/section>\n
    \"\"<\/section>\n
    \n
    <\/section>\n<\/section>\n
    <\/section>\n
      \n
    • \n
      \n
      \u5ba0\u7269\u667a\u80fd\u76d1\u63a7<\/strong><\/section>\n<\/section>\n<\/li>\n<\/ul>\n
      \u5ba0\u7269\u667a\u80fd\u76d1\u63a7\u4e3b\u8981\u7528\u4e8e\u8fdc\u7a0b\u76d1\u63a7\u5ba0\u7269\uff0c\u786e\u4fdd\u5ba0\u7269\u4e3b\u5373\u4f7f\u4e0d\u5728\u5bb6\u4e5f\u80fd\u4e86\u89e3\u5ba0\u7269\u7684\u6d3b\u52a8\u548c\u72b6\u6001\u3002<\/section>\n
      \u8fd9\u4e9b\u8bbe\u5907\u901a\u5e38\u5305\u62ec\u4ee5\u4e0b\u529f\u80fd\u548c\u6280\u672f\uff1a<\/section>\n
      1. \u00a0 \u5b9e\u65f6\u89c6\u9891\u76d1\u63a7\uff1a<\/strong><\/section>\n
      \u9ad8\u6e05\u6444\u50cf\u5934\u652f\u6301\u5b9e\u65f6\u89c6\u9891\u6d41\uff0c\u5141\u8bb8\u5ba0\u7269\u4e3b\u968f\u65f6\u67e5\u770b\u5ba0\u7269\u7684\u72b6\u6001\u3002<\/section>\n
      \u00a02. \u00a0 \u53cc\u5411\u97f3\u9891\u901a\u4fe1\uff1a<\/strong><\/section>\n
      \u96c6\u6210\u9ea6\u514b\u98ce\u548c\u626c\u58f0\u5668\u5141\u8bb8\u5ba0\u7269\u4e3b\u4e0e\u5ba0\u7269\u8fdb\u884c\u53cc\u5411\u901a\u4fe1\uff0c\u63d0\u4f9b\u5b89\u6170\u6216\u6307\u4ee4\u3002<\/section>\n
      3. \u00a0 \u8fd0\u52a8\u548c\u58f0\u97f3\u68c0\u6d4b\uff1a<\/strong><\/section>\n
      \u5229\u7528AI\u9a71\u52a8\u7684\u8fd0\u52a8\u68c0\u6d4b\u548c\u58f0\u97f3\u8bc6\u522b\u7b97\u6cd5\uff0c\u5ba0\u7269\u76f8\u673a\u80fd\u591f\u5728\u5ba0\u7269\u6d3b\u52a8\u6216\u53d1\u51fa\u58f0\u97f3\u65f6\u53d1\u9001\u8b66\u62a5\u7ed9\u5ba0\u7269\u4e3b\u3002<\/section>\n
      4. \u00a0 \u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\uff08ANN\uff09\uff1a<\/strong><\/section>\n
      \u8fd9\u4e9b\u7f51\u7edc\u53ef\u4ee5\u5e2e\u52a9\u8bc6\u522b\u5ba0\u7269\u7684\u884c\u4e3a\u6a21\u5f0f\uff0c\u5982\u5420\u53eb\u3001\u8df3\u8dc3\u6216\u5176\u4ed6\u7279\u5b9a\u52a8\u4f5c\uff0c\u53ca\u65f6\u901a\u77e5\u5ba0\u7269\u4e3b\u53ef\u80fd\u7684\u5f02\u5e38\u60c5\u51b5\u3002<\/section>\n
      5. \u00a0 \u4e91\u5b58\u50a8\u548c\u8fb9\u7f18\u8ba1\u7b97\uff1a<\/strong><\/section>\n
      \u89c6\u9891\u6570\u636e\u53ef\u4ee5\u5b58\u50a8\u5728\u4e91\u7aef\uff0c\u65b9\u4fbf\u56de\u653e\u548c\u8bbf\u95ee\uff0c\u540c\u65f6\u90e8\u5206\u6570\u636e\u5904\u7406\u53ef\u4ee5\u5728\u8bbe\u5907\u672c\u5730\u8fdb\u884c\uff0c\u51cf\u5c11\u5ef6\u8fdf\u3002<\/section>\n
      \u4f18\u79c0\u4ea7\u54c1\uff0c\u5982O-SITTER\u7684\u5ba0\u7269\u667a\u80fd\u966a\u4f34\u673a\u5668\u4eba:<\/section>\n
      <\/section>\n
      \"\"<\/section>\n
      <\/section>\n
        \n
      • \n
        \n
        \u5ba0\u7269\u966a\u4f34\u5a31\u4e50\u673a<\/strong><\/section>\n<\/section>\n<\/li>\n<\/ul>\n
        \u5ba0\u7269\u966a\u4f34\u5a31\u4e50\u673a\u662f\u57fa\u4e8e\u5ba0\u7269\u667a\u80fd\u76d1\u63a7\u7684\u8fdb\u9636\u578bAI\u4ea7\u54c1\uff0c\u5c06\u4e0d\u6b62\u6ee1\u8db3\u5ba0\u7269\u4e3b\u7684\u5916\u51fa\u76d1\u63a7\u67e5\u770b\u9700\u6c42\uff0c\u5219\u66f4\u6ce8\u91cd\u63d0\u4f9b\u4e0e\u5ba0\u7269\u7684\u4e92\u52a8\u5a31\u4e50\uff0c\u5e2e\u52a9\u5ba0\u7269\u6d88\u78e8\u65f6\u95f4\uff0c\u51cf\u5c11\u7126\u8651\u548c\u65e0\u804a\u3002\u8fd9\u4e9b\u6e38\u620f\u673a\u5305\u542b\u7684\u6280\u672f\u548c\u529f\u80fd\u6709\uff1a<\/section>\n
        1.\u00a0\u00a0\u4ea4\u4e92\u5f0f\u6e38\u620f\uff1a\u5ba0\u7269\u6e38\u620f\u673a\u901a\u8fc7\u89e6\u6478\u5c4f\u6216\u7279\u5b9a\u7684\u4f20\u611f\u5668\u5141\u8bb8\u5ba0\u7269\u81ea\u4e3b\u4e0e\u8bbe\u5907\u4e92\u52a8\uff0c\u5982\u89e6\u78b0\u5c4f\u5e55\u6355\u6349\u865a\u62df\u5bf9\u8c61\u7b49\u3002<\/section>\n
        2.\u00a0 \u00a0\u884c\u4e3a\u5206\u6790\uff1a\u901a\u8fc7\u76d1\u6d4b\u5ba0\u7269\u5728\u6e38\u620f\u4e2d\u7684\u8868\u73b0\uff0cAI\u53ef\u4ee5\u5206\u6790\u5ba0\u7269\u7684\u884c\u4e3a\u8d8b\u52bf\u548c\u504f\u597d\uff0c\u5e2e\u52a9\u5ba0\u7269\u4e3b\u66f4\u597d\u5730\u7406\u89e3\u5ba0\u7269\u7684\u9700\u6c42\u3002<\/section>\n
        3.\u00a0 \u00a0\u5956\u52b1\u673a\u5236\uff1a\u6e38\u620f\u673a\u53ef\u4ee5\u8bbe\u5b9a\u5728\u5ba0\u7269\u5b8c\u6210\u7279\u5b9a\u4efb\u52a1\u6216\u6e38\u620f\u540e\u81ea\u52a8\u53d1\u653e\u98df\u7269\u6216\u5c0f\u96f6\u98df\u4f5c\u4e3a\u5956\u52b1\uff0c\u9f13\u52b1\u5ba0\u7269\u7ee7\u7eed\u53c2\u4e0e\u3002<\/section>\n
        4.\u00a0 \u00a0\u53ef\u89c6\u5316\u53cd\u9988\uff1a\u5ba0\u7269\u6e38\u620f\u673a\u901a\u5e38\u4f1a\u6709\u663e\u793a\u5c4f\u5c55\u793a\u6e38\u620f\u8fdb\u5ea6\u548c\u6210\u5c31\uff0c\u6709\u7684\u8fd8\u80fd\u901a\u8fc7\u79fb\u52a8\u5e94\u7528\u5411\u5ba0\u7269\u4e3b\u63d0\u4f9b\u53cd\u9988\uff0c\u8ba9\u5ba0\u7269\u4e3b\u4e86\u89e3\u5ba0\u7269\u7684\u4e92\u52a8\u60c5\u51b5\u3002<\/section>\n
        \u4f18\u79c0\u4ea7\u54c1\uff0c\u5982\u590f\u666e\u7684\u5ba0\u7269\u667a\u80fd\u76f8\u673a\u4e0e\u6e38\u620f\u673a:<\/section>\n
        \"\"<\/section>\n
          \n
        • \n
          \n
          \u667a\u80fd\u9879\u5708<\/strong><\/section>\n<\/section>\n<\/li>\n<\/ul>\n
          1. \u00a0 \u7269\u8054\u7f51\uff08IoT\uff09\u6280\u672f\uff1a<\/section>\n
          \u667a\u80fd\u9879\u5708\u901a\u5e38\u914d\u5907IoT\u6280\u672f\uff0c\u53ef\u4ee5\u901a\u8fc7\u65e0\u7ebf\u7f51\u7edc\u4e0e\u624b\u673a\u6216\u5176\u4ed6\u667a\u80fd\u8bbe\u5907\u8fde\u7ed3\uff0c\u5b9e\u65f6\u4f20\u8f93\u6570\u636e\u3002<\/section>\n
          2. \u00a0 \u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\uff08ANN\uff09\uff1a<\/section>\n
          \u7528\u4e8e\u5904\u7406\u548c\u5206\u6790\u5927\u91cf\u6570\u636e\uff0c\u4f8b\u5982\u4ece\u5ba0\u7269\u884c\u4e3a\u6a21\u5f0f\u4e2d\u5b66\u4e60\uff0c\u4ee5\u9884\u6d4b\u5ba0\u7269\u7684\u5065\u5eb7\u72b6\u51b5\u6216\u60c5\u7eea\u53d8\u5316\u3002<\/section>\n
          3. \u00a0 \u8fb9\u7f18\u8ba1\u7b97\uff1a<\/section>\n
          \u4e00\u4e9b\u667a\u80fd\u9879\u5708\u6a21\u578b\u91c7\u7528\u8fb9\u7f18\u8ba1\u7b97\u6280\u672f\uff0c\u6570\u636e\u5904\u7406\u76f4\u63a5\u5728\u8bbe\u5907\u4e0a\u5b8c\u6210\uff0c\u51cf\u5c11\u4e86\u5bf9\u4e91\u8ba1\u7b97\u8d44\u6e90\u7684\u4f9d\u8d56\uff0c\u63d0\u9ad8\u4e86\u53cd\u5e94\u901f\u5ea6\u548c\u6570\u636e\u5904\u7406\u6548\u7387\u3002<\/section>\n
          4. \u00a0 \u81ea\u9002\u5e94\u7b97\u6cd5\uff1a<\/section>\n
          \u81ea\u9002\u5e94\u7b97\u6cd5\u4f7f\u5f97\u667a\u80fd\u9879\u5708\u53ef\u4ee5\u6839\u636e\u5ba0\u7269\u7684\u7279\u5b9a\u884c\u4e3a\u548c\u73af\u5883\u81ea\u52a8\u8c03\u6574\u76d1\u6d4b\u53c2\u6570\u548c\u62a5\u8b66\u9608\u503c\u3002<\/section>\n
          \u4f18\u79c0\u4ea7\u54c1\uff0c\u5982petbit\u7684\u5ba0\u7269\u5b9a\u4f4d\u5668:<\/section>\n
          \"\"<\/section>\n
          \n
          \"\"<\/section>\n<\/section>\n
          <\/section>\n
          \n
          \n
          \n
          \n
          \n
          \n
          \n
          \u5ba0\u7269\u667a\u80fd\u7528\u54c1\u7684\u6311\u6218\u548c\u524d\u666f<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
          \n
          \u968f\u7740\u4eba\u5de5\u667a\u80fd\uff08AI\uff09\u6280\u672f\u5728\u5ba0\u7269\u884c\u4e1a\u7684\u5e7f\u6cdb\u5e94\u7528\uff0c\u6cd5\u89c4\u548c\u4f26\u7406\u95ee\u9898\u6210\u4e3a\u4e0d\u5bb9\u5ffd\u89c6\u7684\u5173\u6ce8\u70b9\u3002\u8fd9\u4e9b\u95ee\u9898\u4e3b\u8981\u6d89\u53ca\u6570\u636e\u9690\u79c1\u3001\u52a8\u7269\u798f\u5229\u3001\u8d23\u4efb\u5f52\u5c5e\u4ee5\u53ca\u6d88\u8d39\u8005\u6743\u76ca\u4fdd\u62a4\u7b49\u65b9\u9762\u3002<\/section>\n
          \n
          <\/section>\n<\/section>\n
          1. \u6570\u636e\u9690\u79c1\u548c\u5b89\u5168<\/strong><\/section>\n
          \u968f\u7740\u667a\u80fd\u5ba0\u7269\u4ea7\u54c1\u5982\u667a\u80fd\u9879\u5708\u3001\u5ba0\u7269\u76f8\u673a\u7b49\u6536\u96c6\u8d8a\u6765\u8d8a\u591a\u7684\u5ba0\u7269\u548c\u5ba0\u7269\u4e3b\u7684\u6570\u636e\u3002\u8fd9\u4e9b\u8bbe\u5907\u901a\u5e38\u9700\u8981\u6536\u96c6\u5927\u91cf\u654f\u611f\u4fe1\u606f\uff0c\u5305\u62ec\u5ba0\u7269\u7684\u884c\u4e3a\u6570\u636e\u3001\u4f4d\u7f6e\u4fe1\u606f\u3001\u751a\u81f3\u5ba0\u7269\u4e3b\u7684\u5bb6\u5ead\u73af\u5883\uff1a<\/section>\n
          \u2022 \u4e2a\u4eba\u9690\u79c1\uff1a<\/strong>\u5982\u4f55\u786e\u4fdd\u8fd9\u4e9b\u6570\u636e\u4e0d\u88ab\u672a\u7ecf\u6388\u6743\u7684\u7b2c\u4e09\u65b9\u8bbf\u95ee\u6216\u6ee5\u7528\u662f\u4e00\u4e2a\u91cd\u8981\u95ee\u9898<\/section>\n
          \u2022 \u6570\u636e\u4fdd\u62a4\u6cd5\u89c4\uff1a<\/strong>\u5404\u56fd\u7684\u6570\u636e\u4fdd\u62a4\u6cd5\u5f8b\u4e0d\u540c\uff0c\u4f01\u4e1a\u9700\u8981\u786e\u4fdd\u9075\u5b88\u5728\u7279\u5b9a\u6cd5\u57df\u5185\u7684\u76f8\u5173\u6cd5\u5f8b\uff0c\u5982\u6b27\u76df\u7684\u901a\u7528\u6570\u636e\u4fdd\u62a4\u6761\u4f8b\uff08GDPR\uff09<\/section>\n
          2. \u52a8\u7269\u798f\u5229<\/strong><\/section>\n
          \u4f7f\u7528AI\u6280\u672f\u6765\u76d1\u63a7\u548c\u63a7\u5236\u5ba0\u7269\u7684\u884c\u4e3a\uff0c\u53ef\u80fd\u4f1a\u5f15\u53d1\u52a8\u7269\u798f\u5229\u65b9\u9762\u7684\u4f26\u7406\u95ee\u9898\uff1a<\/section>\n
          \u2022 \u81ea\u7136\u884c\u4e3a\u7684\u9650\u5236\uff1a<\/strong>\u667a\u80fd\u8bbe\u5907\u53ef\u80fd\u8fc7\u5ea6\u5e72\u9884\u5ba0\u7269\u7684\u81ea\u7136\u884c\u4e3a\uff0c\u4f8b\u5982\u901a\u8fc7\u7535\u5b50\u56f4\u680f\u9650\u5236\u5ba0\u7269\u7684\u6d3b\u52a8\u8303\u56f4<\/section>\n
          3. \u8d23\u4efb\u5f52\u5c5e<\/strong><\/section>\n
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          \u589e\u5f3a\u73b0\u5b9e (AR) \u5c06\u5f7b\u5e95\u6539\u53d8\u5ba0\u7269\u4e3b\u4eba\u7684\u8d2d\u7269\u65b9\u5f0f\u3002\u5ba2\u6237\u5c06\u80fd\u591f\u4f7f\u7528 AR \u5e94\u7528\u5728\u4ed6\u4eec\u7684\u5ba0\u7269\u8eab\u4e0a\u865a\u62df\u8bd5\u7528\u5ba0\u7269\u4ea7\u54c1\uff08\u4ece\u5ba0\u7269\u5e8a\u5230\u5ba0\u7269\u8863\u670d\uff09\uff0c\u8fd9\u79cd\u8eab\u4e34\u5176\u5883\u7684\u4f53\u9a8c\u5c06\u51cf\u5c11\u4e0d\u786e\u5b9a\u6027\u5e76\u4fc3\u8fdb\u5728\u7ebf\u9500\u552e\u3002<\/section>\n
          4.\u00a0\u00a0\u00a0 \u4eba\u5de5\u667a\u80fd\u517d\u533b\u5efa\u8bae<\/strong><\/section>\n
          AI \u804a\u5929\u673a\u5668\u4eba\u548c\u865a\u62df\u517d\u533b\u52a9\u7406\u5c06\u63d0\u4f9b\u5373\u65f6\u7684 AI \u5ba0\u7269\u533b\u7597\u4fdd\u5065\u5efa\u8bae\u3002\u5ba0\u7269\u4e3b\u4eba\u53ef\u4ee5\u83b7\u5f97\u6709\u5173\u5e38\u89c1\u5ba0\u7269\u5065\u5eb7\u95ee\u9898\u3001\u6025\u6551\u548c\u9884\u9632\u62a4\u7406\u7684\u6307\u5bfc\uff0c\u4ece\u800c\u6539\u5584\u6574\u4f53\u5ba0\u7269\u9972\u517b\u4f53\u9a8c\u3002<\/section>\n
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