{"id":7279,"date":"2016-11-21T01:54:28","date_gmt":"2016-11-20T17:54:28","guid":{"rendered":"http:\/\/synergytek.com.tw\/blog\/?p=7279"},"modified":"2025-10-08T23:18:13","modified_gmt":"2025-10-08T15:18:13","slug":"ai-machine-learning-landscape","status":"publish","type":"post","link":"https:\/\/synergytek.com.tw\/blog\/2016\/11\/21\/ai-machine-learning-landscape\/","title":{"rendered":"AI \u4eba\u5de5\u667a\u6167\u5c08\u5229\u4f48\u5c40\u521d\u63a2"},"content":{"rendered":"

\"25717574115_a13441f167_b\"\u5716\u8aaa\uff1aAlphaGo vs. \u674e\u4e16\u4e6d<\/a><\/p>\n

\u4f86\u6e90: Frickr<\/p>\n

 <\/p>\n

\u81ea\u5f9eGoogle \u6240\u958b\u767c\u7684 AlphaGo (\u963f\u6cd5\u72d7) \u65bc(2016)\u5e74\u521d\u64ca\u6557\u97d3\u570b\u570d\u68cb\u68cb\u738b\u674e\u4e16\u4e6d\u6642\uff0c\u4e00\u5411\u51b7\u9580\u7684\u4eba\u5de5\u667a\u6167\u3001\u6df1\u5ea6\u5b78\u7fd2\u7b49\u8a5e\u5f59\u7a81\u7136\u6210\u70ba\u4e86\u6c11\u773e\u95dc\u6ce8\u7684\u71b1\u9580\u95dc\u9375\u8a5e\u3002\u6c11\u773e\u8a0e\u8ad6\u7684\u8b70\u984c\u5f9e\u63a5\u4e0b\u4f86\u8981\u7531\u54ea\u4f4d\u4eba\u985e\u68cb\u58eb\u51fa\u9762\u6311\u6230\u4ee5\u8d0f\u56de\u4eba\u985e\u7684\u5c0a\u56b4\uff1b\u5230\u7d50\u5408\u6df1\u5ea6\u5b78\u7fd2\u7684\u4eba\u5de5\u667a\u6167\u9084\u80fd\u5920\u9032\u5c55\u5230\u751a\u9ebc\u7a0b\u5ea6(\u5947\u7570\u9ede\u662f\u5426\u6703\u51fa\u73fe)\u3002<\/p>\n

\u4e0d\u8ad6\u60a8\u7684\u770b\u6cd5\u662f\u6a02\u89c0\u9084\u662f\u60b2\u89c0\uff0c\u79d1\u6280\u884c\u696d\u7684\u5de8\u982d\u5011\u662f\u65e9\u5c31\u900f\u904e\u7b56\u7565\u6027\u7684\u6295\u8cc7\u4f75\u8cfc\u6216\u662f\u81ea\u4e3b\u7814\u767c (\u901a\u5e38\u662f\u5169\u8def\u4e26\u884c)\u4ee5\u638c\u63e1\u7af6\u722d\u7c4c\u78bc\uff0c\u624d\u4e0d\u6703\u5728\u9019\u500b\u5f71\u97ff\u6df1\u9060\u7684\u6280\u8853\u7af6\u722d\u7576\u4e2d\u7f3a\u5e2d<\/p>\n

\"CB-Investors2\"<\/p>\n

\u5716\u8aaa:\u4eba\u5de5\u667a\u6167\u7684\u4e3b\u8981\u4f01\u696d\u96c6\u5718\u6295\u8cc7\u8005\u5206\u6790<\/p>\n

\u8cc7\u6599\u4f86\u6e90: CBInsight<\/p>\n

 <\/p>\n

<\/p>\n

\u6211\u5011\u5f9e\u5c08\u5229\u7533\u8acb\u7684\u8da8\u52e2\u4e2d\u767c\u73fe\uff0c\u8207AI\u4eba\u5de5\u667a\u6167\u76f8\u95dc\u7684\u5c08\u5229\u7533\u8acb\u8da8\u52e2\u65e9\u5df2\u81ea2011\u5e74\u8d77\u8fc5\u901f\u6210\u9577\uff0c\u8fc4\u4eca\u6c92\u6709\u6e1b\u7de9\u7684\u8da8\u52e2(\u8fd1\u5169\u5e74\u6578\u503c\u4e0b\u6ed1\u539f\u56e0\u662f\u767c\u660e\u5c08\u5229\u8cc7\u6599\u81ea\u7533\u8acb\u65e5\u8d77\u7b9718\u500b\u6708\u624d\u6703\u5b8c\u5168\u516c\u958b)\u3002\u7f8e\u570b\u662f\u53d7\u7406\u6b64\u6280\u8853\u6700\u591a\u7684\u570b\u5bb6\uff0c\u800c\u4e2d\u570b\u5927\u9678\u81ea2011\u5e74\u8d77\uff0c\u5373\u6210\u70ba\u6b64\u6280\u8853\u7b2c\u4e8c\u5927\u7684\u5c08\u5229\u53d7\u7406\u570b\u3002<\/p>\n

\"ai1\"\u5716\u8aaa: \u985e\u795e\u7d93\u7db2\u8def\u8207\u6df1\u5ea6\u5b78\u7fd2\u4e4b\u5404\u570b\u5c08\u5229\u7533\u8acb\u8da8\u52e2<\/a><\/p>\n

\u8cc7\u6599\u4f86\u6e90: PatBase \u65b0\u805a\u80fd\u79d1\u6280\u9867\u554f\u6574\u7406<\/p>\n

\u6aa2\u7d22\u65e5\u671f:2016\u5e7411\u6708, \u5171\u8a0811441\u4ef6\u5c08\u5229\u5bb6\u65cf<\/p>\n

\u6309\u53d6\u5f97\u6388\u6b0a\u5c08\u5229\u7684\u6578\u91cf\u6392\u540d\uff0c\u6211\u5011\u767c\u73feGoogle\u5df2\u7d93\u6210\u70ba\u50c5\u6b21\u65bcIBM\u4ee5\u53caMicrosoft\u7684\u7b2c\u4e09\u5927\u5c08\u5229\u6b0a\u4eba\u3002\u800c\u901a\u8a0a\u6676\u7247\u5927\u5ee0Qualcomm\u8fd1\u671f\u5247\u662f\u7533\u8acb\u5927\u91cf\u5c08\u5229\u7dca\u8ffd\u5728\u5f8c\u3002<\/p>\n

\"ai2\"\u5716\u8aaa:\u4e3b\u8981\u5c08\u5229\u7533\u8acb\u4eba(\u524d15\u5927)<\/a><\/p>\n

\u8cc7\u6599\u4f86\u6e90: \u65b0\u805a\u80fd\u79d1\u6280\u9867\u554f\u6574\u7406<\/p>\n

\u9032\u4e00\u6b65\u5206\u6790\u4e2d\u570b\u7684\u5c08\u5229\uff0c\u767c\u73fe\u985e\u795e\u7d93\u7db2\u8def\u8207\u6df1\u5ea6\u5b78\u7fd2\u6280\u8853\u4e4b\u5c08\u5229\u591a\u534a\u70ba\u9ad8\u6821\u6216\u662f\u7814\u7a76\u6a5f\u69cb\u6240\u7533\u8acb\u3002\u82e5\u904e\u6ffe\u51fa\u516c\u53f8\u578b\u614b\u7684\u5c08\u5229\u7533\u8acb\u4eba\uff0c\u767c\u73fe\u7533\u8acb\u91cf\u6700\u591a\u7684\u5ee0\u5546\u70ba\u4e2d\u570b\u7684\u570b\u5bb6\u96fb\u7db2\u516c\u53f8\u4ee5\u53ca\u83ef\u70ba\uff0c\u4f46\u51fa\u4e4e\u610f\u6599\u7684\u662f\u53f0\u7c4d\u7684\u83ef\u4e9e\u79d1\u6280\u3001\u7def\u5275\u8cc7\u901a\u3001\u82f1\u696d\u9054\u7b49\u516c\u53f8\u7adf\u4e5f\u540d\u5217\u4f01\u696d\u7533\u8acb\u6392\u884c\u7684\u524d\u8305\u3002\u9032\u4e00\u6b65\u63a2\u7a76\u5176\u5167\u5bb9\uff0c\u767c\u73fe\u83ef\u4e9e\u79d1\u6280\u6240\u7533\u8acb\u7684\u5c08\u5229\u662f\u5c07\u4eba\u5de5\u667a\u6167\u61c9\u7528\u65bc\u6676\u5713\u88fd\u7a0b\u4ee5\u53ca\u8a2d\u5099\u4fdd\u990a\u7684\u512a\u5316\u3002<\/p>\n

\u800c\u7def\u5275\u3001\u82f1\u696d\u9054\u5247\u662f\u5c07\u4eba\u5de5\u667a\u6167\u6280\u8853\u7528\u65bc\u4f3a\u670d\u5668\u7684\u6563\u71b1\u4ee5\u53ca\u904b\u7b97\u6548\u80fd\u7684\u512a\u5316\uff0c\u96e3\u602a\u53ef\u4ee5\u6210\u70ba\u9069\u5408\u7528\u65bcAI\u5e73\u884c\u904b\u7b97\u7684\u7e6a\u5716\u8655\u7406\u5668(GPU)\u5927\u5ee0NVIDIA\u958b\u767c\u4eba\u5de5\u667a\u6167\u4f3a\u670d\u5668\u7684\u5408\u4f5c\u5ee0\u5546\u3002<\/p>\n

\"ai3\"\u5716\u8aaa: \u4e2d\u53f0\u5c08\u5229\u4f01\u696d\u7533\u8acb\u4eba\u7af6\u722d\u529b\u5206\u6790<\/a><\/p>\n

\u8aaa\u660e: X\u8ef8\u70ba\u5c08\u5229\u7533\u8acb\u91cf\uff0c\u8868\u793a\u5c08\u5229\u4f48\u5c40\u7a4d\u6975\u7684\u7a0b\u5ea6<\/p>\n

Y\u8ef8\u70ba\u5c08\u5229\u6388\u6b0a(\u7372\u51c6)\u91cf\uff0c\u8868\u793a\u5c08\u5229\u5f71\u97ff\u7684\u7a0b\u5ea6<\/p>\n

 <\/p>\n

\u5f9e\u61c9\u7528\u9762\u5206\u6790\uff0c\u985e\u795e\u7d93\u7db2\u8def\u8207\u6df1\u5ea6\u5b78\u7fd2\u6280\u8853\u81ea\u767c\u5c55\u4e4b\u521d\u5c31\u4ee5\u5f71\u50cf\u8fa8\u8b58\u70ba\u4e3b\u8981\u61c9\u7528\u9818\u57df\uff0c\u800c\u8fd1\u671f(2013\u5e74\u5f8c)\u5728\u8a9e\u97f3\u8b58\u5225\u9818\u57df\u4e5f\u958b\u59cb\u7d2f\u7a4d\u5c08\u5229\u7533\u8acb\u91cf<\/p>\n

\"ai4\"\u5716\u8aaa:\u4e3b\u8981\u61c9\u7528\u9818\u57df<\/a><\/p>\n

\u8cc7\u6599\u4f86\u6e90: \u65b0\u805a\u80fd\u79d1\u6280\u9867\u554f\u6574\u7406<\/p>\n

 <\/p>\n

\u5982\u6b32\u77ad\u89e3\u66f4\u591a\u95dc\u65bcAI\u4eba\u5de5\u667a\u6167\u7684\u5c08\u5229\u4f48\u5c40\u8cc7\u8a0a\uff0c\u6b61\u8fce\u806f\u7e6b\u65b0\u805a\u80fd\u79d1\u6280\u9867\u554f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

\u5716\u8aaa\uff1aAlphaGo vs. \u674e\u4e16\u4e6d \u4f86…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1238,384,451],"tags":[549,751,550,750,749],"class_list":["post-7279","post","type-post","status-publish","format-standard","hentry","category-ai","category-adv-mfg","category-451","tag-ai","tag-machine-learning","tag-550","tag-750","tag-749"],"yoast_head":"\nAI \u4eba\u5de5\u667a\u6167\u5c08\u5229\u4f48\u5c40\u521d\u63a2 - \u65b0\u805a\u80fd\u79d1\u6280<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/synergytek.com.tw\/blog\/2016\/11\/21\/ai-machine-learning-landscape\/\" \/>\n<meta property=\"og:locale\" content=\"zh_TW\" \/>\n<meta property=\"og:type\" content=\"article\" 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