{"id":7274,"date":"2017-01-25T15:00:40","date_gmt":"2017-01-25T06:00:40","guid":{"rendered":"http:\/\/sitest.jp\/blog\/?p=7274"},"modified":"2017-01-25T10:15:04","modified_gmt":"2017-01-25T01:15:04","slug":"%e4%ba%ba%e5%b7%a5%e7%9f%a5%e8%83%bd%e3%81%ab%e9%96%a2%e3%81%99%e3%82%8b%e7%94%a8%e8%aa%9e%e3%81%be%e3%81%a8%e3%82%81","status":"publish","type":"post","link":"https:\/\/sitest.jp\/blog\/?p=7274","title":{"rendered":"\u4eba\u5de5\u77e5\u80fd\u306b\u95a2\u3059\u308b\u7528\u8a9e\u307e\u3068\u3081"},"content":{"rendered":"

\u3053\u3093\u306b\u3061\u306f\u3001\u30d7\u30ed\u30c0\u30af\u30c8\u958b\u767a\u30c1\u30fc\u30e0\u306e\u7267\u3067\u3059\u3002<\/p>\n

2016\u5e74\u306f\u4eba\u5de5\u77e5\u80fd\u30d6\u30fc\u30e0\u304c\u4e00\u6c17\u306b\u5230\u6765\u3057\u305f\u3068\u611f\u3058\u305f\u5e74\u3068\u306a\u308a\u307e\u3057\u305f\u3002
\n\u4eba\u5de5\u77e5\u80fd\u3084\u6a5f\u68b0\u5b66\u7fd2\u306b\u95a2\u308f\u308b\u7528\u8a9e\u306f\u96e3\u89e3\u306a\u3082\u306e\u3082\u591a\u3044\u306e\u3067\u3001
\n\u4eca\u56de\u306f\u983b\u51fa\u3059\u308b\u7528\u8a9e8\u500b\u3092\u307e\u3068\u3081\u3066\u307f\u307e\u3057\u305f\u3002
\n\u3057\u3063\u304b\u308a\u3068\u7406\u89e3\u3057\u3066\u30d6\u30fc\u30e0\u3092\u99c6\u3051\u629c\u3051\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\n

<\/p>\n

\n

1. \u4eba\u5de5\u77e5\u80fd\uff08Artificial Intelligence \/ AI\uff09<\/h3>\n<\/div>\n

\u4eba\u5de5\u77e5\u80fd\u3001\u6240\u8b02AI\u3068\u306f\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u4e0a\u3067\u4eba\u9593\u3068\u540c\u3058\u77e5\u80fd\u3092\u518d\u73fe\u3057\u3088\u3046\u3068\u3059\u308b\u8a66\u307f\u3067\u3059\u3002
\n\u4eba\u5de5\u77e5\u80fd\u306e\u6b74\u53f2\u306f1956\u5e74\u304b\u3089\u59cb\u307e\u308a\u3001\u30d6\u30fc\u30e0\u3068\u51ac\u306e\u6642\u4ee3\u3092\u7e70\u308a\u8fd4\u3057\u3066\u3044\u307e\u3057\u305f\u3002
\n2010\u5e74\u9803\u304b\u3089\u59cb\u307e\u3063\u305f\u7b2c3\u6b21AI\u30d6\u30fc\u30e0\u3067\u306f\u3001\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u306e\u666e\u53ca\u3084\u6df1\u5c64\u5b66\u7fd2\u306a\u3069\u306b\u3088\u308a\u3001\u4e00\u6c17\u306bAI\u30d6\u30fc\u30e0\u304c\u5dfb\u304d\u8d77\u3053\u308a\u73fe\u5728\u3082\u307e\u3060\u7d9a\u3044\u3066\u3044\u307e\u3059\u3002<\/p>\n

\n

2. \u30b7\u30f3\u30ae\u30e5\u30e9\u30ea\u30c6\u30a3\uff08Singularity\uff09<\/h3>\n<\/div>\n

\u30b7\u30f3\u30ae\u30e5\u30e9\u30ea\u30c6\u30a3\u306f\u6280\u8853\u7684\u7279\u7570\u70b9\u3068\u3082\u547c\u3070\u308c\u30012045\u5e74\u306b\u306f\u4eba\u5de5\u77e5\u80fd\u304c\u4eba\u9593\u306e\u77e5\u80fd\u3092\u8d85\u3048\u308b\u3068\u3044\u3046\u4e88\u6e2c\u3067\u3059\u3002
\n\u4eba\u9593\u3088\u308a\u9ad8\u3044\u77e5\u80fd\u3092\u6301\u3064\u4eba\u5de5\u77e5\u80fd\u304c\u958b\u767a\u3055\u308c\u308b\u3068\u3001\u4eba\u5de5\u77e5\u80fd\u304c\u4eba\u5de5\u77e5\u80fd\u3092\u958b\u767a\u3059\u308b\u30d5\u30a7\u30fc\u30ba\u306b\u5165\u308a\u3001\u305d\u306e\u7d50\u679c\u4eba\u9593\u3067\u306f\u4e88\u6e2c\u4e0d\u53ef\u80fd\u306a\u672a\u6765\u304c\u5230\u9054\u3059\u308b\u306e\u3067\u306f\u3068\u8003\u3048\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u8a73\u3057\u304f\u306f\u3001\u300c\u300c\u4eba\u5de5\u77e5\u80fd\uff08AI\uff09\u306f\u4eba\u985e\u306e\u6575\uff1f\u300d\u30b7\u30f3\u30ae\u30e5\u30e9\u30ea\u30c6\u30a3\u306b\u8b66\u9418\u3092\u9cf4\u3089\u3059\u8b58\u8005\u305f\u3061<\/a>\u300d\u306e\u8a18\u4e8b\u3067\u7d39\u4ecb\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

\n

3. \u4eba\u5de5\u77e5\u80fd\u306e\u30d5\u30a7\u30fc\u30ba<\/h3>\n<\/div>\n

\u4eba\u5de5\u77e5\u80fd\u3068\u3044\u3063\u3066\u3082\u5b9a\u7fa9\u3092\u5e83\u304f\u3068\u308c\u3070\u3001\u69d8\u3005\u306a\u3082\u306e\u304c\u4eba\u5de5\u77e5\u80fd\u3068\u3057\u3066\u5206\u985e\u3055\u308c\u307e\u3059\u3002
\n\u305d\u3053\u3067\u30d5\u30a7\u30fc\u30ba\u306b\u3088\u3063\u3066\u5206\u985e\u3059\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u3069\u306e\u30ec\u30d9\u30eb\u306e\u4eba\u5de5\u77e5\u80fd\u304b\u3092\u5224\u5225\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

\"AI_phase\"<\/a><\/p>\n

\n

4. \u5f37\u3044AI\u3068\u5f31\u3044AI<\/h3>\n<\/div>\n

AI\u306b\u306f\u5f37\u3044AI\u3068\u5f31\u3044AI\u306b\u5206\u985e\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

\u5f37\u3044AI\u3068\u5f31\u3044AI\uff08\u3064\u3088\u3044\u30a8\u30fc\u30a2\u30a4\u3068\u3088\u308f\u3044\u30a8\u30fc\u30a2\u30a4\u3001\u82f1: Strong AI and Weak AI\uff09\u306f\u3001\u4eba\u5de5\u77e5\u80fd\uff08AI\uff09\u304c\u771f\u306e\u63a8\u8ad6\u3068\u554f\u984c\u89e3\u6c7a\u306e\u80fd\u529b\u3092\u8eab\u306b\u3064\u3051\u3089\u308c\u308b\u304b\u5426\u304b\u3092\u3081\u3050\u308b\u8ad6\u4e89\u306b\u304a\u3044\u3066\u7528\u3044\u3089\u308c\u308b\u7528\u8a9e\u3067\u3042\u308b\u3002
\n\u5f15\u7528\uff1aWikipedia<\/a><\/p><\/blockquote>\n

\u5f31\u3044AI\u3068\u306f\u3001\u4eba\u5de5\u77e5\u80fd\u306e\u30d5\u30a7\u30fc\u30ba\u3067\u3044\u3046\u3068\u3053\u308d\u306eLevel 2\u306e\u6bb5\u968e\u3067\u3059\u3002
\n\u5bfe\u5fdc\u3067\u304d\u308b\u30d1\u30bf\u30fc\u30f3\u3092\u5897\u3084\u3059\u3053\u3068\u3067\u591a\u5f69\u306a\u5224\u65ad\u304c\u53ef\u80fd\u3068\u306a\u308a\u307e\u3059\u304c\u3001
\n\u3053\u308c\u306f\u3042\u304f\u307e\u3067\u7279\u5b9a\u306e\u30bf\u30b9\u30af\u306b\u5bfe\u5fdc\u3059\u308b\u3053\u3068\u3057\u304b\u3067\u304d\u306a\u3044\u305f\u3081\u3001\u7279\u5316\u578bAI\u3068\u547c\u3070\u308c\u3066\u3044\u307e\u3059\u3002
\n\u9006\u306b\u5f37\u3044AI\u3068\u306f\u4eba\u9593\u3068\u540c\u7b49\u306e\u5224\u65ad\u3092\u884c\u3046\u3053\u3068\u304c\u51fa\u6765\u308b\u3001\u6c4e\u7528\u578bAI\u3068\u547c\u3070\u308c\u308bAI\u3067\u3059\u3002
\n\u7279\u5316\u578bAI\u3068\u306f\u9055\u3044\u3001\u4e00\u3064\u306eAI\u3067\u4eba\u9593\u3068\u540c\u3058\u3088\u3046\u306b\u69d8\u3005\u306a\u5224\u65ad\u3092\u884c\u3046\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u3066\u3044\u308b\u305f\u3081\u4eba\u9593\u306e\u8133\u3092\u30e2\u30c7\u30ea\u30f3\u30b0\u3057\u30b7\u30e5\u30df\u30ec\u30fc\u30b7\u30e7\u30f3\u3059\u308b\u7814\u7a76\u304c\u884c\u308f\u308c\u3066\u3044\u307e\u3059\u3002
\n\u3000
\n\u300c\u4e16\u754c\u3092\u5909\u3048\u308b\u300c\u5f31\u3044AI\u300d\u306e\u529b<\/a>\u300d\u306e\u8a18\u4e8b\u3082\u3042\u308f\u305b\u3066\u304a\u8aad\u307f\u4e0b\u3055\u3044\u3002<\/p>\n

\n

5. \u6a5f\u68b0\u5b66\u7fd2\uff08Machine Learning \/ ML\uff09<\/h3>\n<\/div>\n

\u6a5f\u68b0\u5b66\u7fd2\u3068\u306f\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u306a\u3069\u306e\u7d71\u8a08\u30c7\u30fc\u30bf\u3092\u89e3\u6790\u3057\u3001\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u901a\u3057\u3066\u5b66\u7fd2\u3092\u884c\u3046\u624b\u6cd5\u3067\u3059\u3002
\n\u5927\u91cf\u306e\u7d71\u8a08\u30c7\u30fc\u30bf\u304b\u3089\u5b66\u7fd2\u3092\u884c\u3046\u3053\u3068\u3067\u30c7\u30fc\u30bf\u306b\u6f5c\u5728\u3059\u308b\u30d1\u30bf\u30fc\u30f3\u3092\u898b\u3064\u3051\u51fa\u3057\u307e\u3059\u3002
\n\u5b66\u7fd2\u30e2\u30c7\u30eb\u306b\u65b0\u3057\u3044\u30c7\u30fc\u30bf\u3092\u4e0e\u3048\u308b\u3053\u3068\u3067\u3001\u7d50\u679c\uff08\u672a\u6765\uff09\u3092\u4e88\u6e2c\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002
\n\u6a5f\u68b0\u5b66\u7fd2\u306f\u3001\u91d1\u878d\u30fb\u30de\u30fc\u30b1\u30c6\u30a3\u30f3\u30b0\u30fb\u533b\u7642\u30fb\u4ea4\u901a\u306a\u3069\u5e45\u5e83\u3044\u5206\u91ce\u3067\u6d3b\u7528\u3055\u308c\u3066\u304a\u308a\u3001
\n\u691c\u7d22\u30a8\u30f3\u30b8\u30f3\u3084\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u3001FinTech\u3001\u30b2\u30ce\u30e0\u89e3\u6790\u306b\u3082\u4f7f\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u8a73\u3057\u304f\u306f\u3001\u300c\u6a5f\u68b0\u5b66\u7fd2\uff08Machine Learning\uff09\u3068\u306f\uff1f\u975e\u30a8\u30f3\u30b8\u30cb\u30a2\u304c\u632f\u308a\u8fd4\u3063\u3066\u307f\u305f\u3002<\/a>\u300d\u306e\u8a18\u4e8b\u3067\u89e3\u8aac\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

\n

6. \u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08Neural Network \/ NN\uff09<\/h3>\n<\/div>\n

\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3068\u306f\u3001\u4eba\u9593\u306e\u8133\u795e\u7d4c\u306e\u4ed5\u7d44\u307f\u3092\u30e2\u30c7\u30ea\u30f3\u30b0\u3057\u305f\u3082\u306e\u3067\u3059\u3002
\n\u795e\u7d4c\u79d1\u5b66\u304c\u5b9a\u7fa9\u3057\u3066\u3044\u308b\u8133\u306e\u30e2\u30c7\u30eb\u3068\u306f\u4e56\u96e2\u3057\u3066\u304d\u3066\u3044\u308b\u3053\u3068\u304b\u3089\u3001\u4eba\u5de5\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08Artificial Neural Network \/ ANN\uff09\u3068\u547c\u3070\u308c\u308b\u3053\u3068\u3082\u3042\u308a\u307e\u3059\u3002
\n\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306b\u5b66\u7fd2\u80fd\u529b\u3092\u6301\u305f\u305b\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u69d8\u3005\u306a\u554f\u984c\u89e3\u6c7a\u3078\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

\u8a73\u3057\u304f\u306f\u3001\u300c\u4eba\u9593\u306e\u8133\u3092\u6a21\u5023\u3057\u305f\uff1f\u300c\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u300d\u3068\u306f\u4f55\u304b\u3002<\/a>\u300d\u306e\u8a18\u4e8b\u3067\u89e3\u8aac\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

\n

7. \u6df1\u5c64\u5b66\u7fd2\uff08Deep Learning \/ DL\uff09<\/h3>\n<\/div>\n

\u6df1\u5c64\u5b66\u7fd2\u3001\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3068\u547c\u3070\u308c\u308b\u6280\u8853\u306f3\u5c64\u4ee5\u4e0a\u304b\u3089\u306a\u308b\u3001\u591a\u5c64\u69cb\u9020\u306e\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u4f7f\u7528\u3057\u305f\u6a5f\u68b0\u5b66\u7fd2\u3067\u3059\u3002
\n\u6709\u540d\u306a\u30e2\u30c7\u30eb\u3068\u3057\u3066\u306f\u3001\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08Convolutional Neural Network \/ CNN\uff09\u304c\u3042\u308a\u3001\u7279\u306b\u753b\u50cf\u8a8d\u8b58\u3084\u97f3\u58f0\u8a8d\u8b58\u306e\u5206\u91ce\u3067\u7a4d\u6975\u7684\u306b\u6d3b\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u307e\u305f\u3001\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306f\u9ad8\u5ea6\u306a\u8a08\u7b97\u51e6\u7406\u3092\u5fc5\u8981\u3068\u3059\u308b\u305f\u3081\u3001\u666e\u901a\u306e\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u3067\u306f\u30b9\u30da\u30c3\u30af\u4e0d\u8db3\u3068\u306a\u3063\u3066\u3057\u307e\u3046\u306e\u3067\u3059\u304c\u3001GPU\u3067\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u884c\u3046\u3053\u3068\u306b\u3088\u308a\u3001CPU\u3088\u308a10\u500d\u307b\u3069\u306e\u6f14\u7b97\u80fd\u529b\u3092\u767a\u63ee\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f\u3002
\nGoogle\u3067\u306f\u6a5f\u68b0\u5b66\u7fd2\u30e9\u30a4\u30d6\u30e9\u30ea\u306eTensorFlow\u7528\u3068\u3057\u3066\u8a2d\u8a08\u3055\u308c\u305fTPU\u3068\u547c\u3070\u308c\u308b\u30c1\u30c3\u30d7\u306e\u958b\u767a\u3082\u884c\u308f\u308c\u3066\u3044\u307e\u3059\u3002
\n\u53c2\u8003\uff1a\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30d7\u30ea\u3092\u5927\u5e45\u306b\u9ad8\u901f\u5316\u3059\u308b TPU \u30ab\u30b9\u30bf\u30e0 \u30c1\u30c3\u30d7\u3092\u958b\u767a<\/a><\/p>\n

\u8a73\u3057\u304f\u306f\u3001\u300c\u6df1\u5c64\u5b66\u7fd2\uff08Deep Learning\uff09\u3068\u306f\uff1f\u975e\u30a8\u30f3\u30b8\u30cb\u30a2\u304c\u8aac\u660e\u3057\u3066\u307f\u305f\u3002<\/a>\u300d\u306e\u8a18\u4e8b\u3067\u89e3\u8aac\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

\n

8. \u5f37\u5316\u5b66\u7fd2\uff08Reinforcement Learning \/ RL\uff09<\/h3>\n<\/div>\n

\u5f37\u5316\u5b66\u7fd2\u3068\u306f\u3001\u8a66\u884c\u3092\u7e70\u308a\u8fd4\u3059\u3053\u3068\u306b\u3088\u308a\u74b0\u5883\u306b\u9069\u7528\u3059\u308b\u3053\u3068\u304c\u51fa\u6765\u308b\u6a5f\u68b0\u5b66\u7fd2\u624b\u6cd5\u306e1\u3064\u3067\u3059\u3002
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\n\u3088\u304f\u7528\u3044\u3089\u308c\u308b\u5b66\u7fd2\u65b9\u6cd5\u3068\u3057\u3066\u3001Q\u5b66\u7fd2\u304c\u3088\u304f\u7528\u3044\u3089\u308c\u3001\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u304b\u3051\u5408\u308f\u305b\u305fDeep-Q-learning\u3068\u3044\u3046\u5b66\u7fd2\u65b9\u6cd5\u3082\u5b58\u5728\u3057\u307e\u3059\u3002
\n\u30b2\u30fc\u30e0AI\u3084\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8\u306e\u767a\u5c55\u306b\u8ca2\u732e\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

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