大å¡å½éç¾è¡é¤¨ãååã ãã¯èãããã¨ããã£ããä¸çä¸ã®åç»ãå寸大ã§é¶æ¿ã«ç¼ãä»ããä½åã並ã¶ç¾è¡é¤¨ã ã¨ããã徳島ã«ããã¨ããã大å¡è£½è¬ã®åµæ¥è ãä¸å¿µçºèµ·ãã¦ä½ã£ãç¾è¡é¤¨ã ã¨ãããæ£ç´ãå½ç©ããããã並ãã§ãã ããã¼ããªããå¤ãªãéæã¡ã®é楽ãï¼çã¹ãããã®ä¸ç¨®ãï¼ã¨æã£ã¦ãããã§ãããããããè¡ã£ã人ã¯ã¿ããªå¤§ãã«æºè¶³ãã¦ããããããããã¦ãããªè¨äºã§ãã åã¯ãè¡ã£ã¦ããã£ãç¾è¡é¤¨ã©ã³ãã³ã°ã1ä½ã®å¤§å¡å½éç¾è¡é¤¨ãç¥ã£ã¦ãããã - ãã¾ãã ããã¯ä¸åº¦ã¯è¡ã£ã¦ã¿ãªããã°ãªãã¾ãâ¦ããã¾ã§47é½éåºçã®ãã¡ã徳島ã¨å®®å´ãæªè¸ã®èº«ã¨ãã¦ã¯ã徳島ã«è¡ãæ©ä¼ã«ããªãããã¨ãé¿æ³¢è¸ãã®ç±çãéãéããå¾ã®æ¥ææ¥ãé¿æ³¢è¸ãã®ã¤ã¡ã¼ã¸ã氾濫ãã徳島é¿æ³¢è¸ã空港ã«éãç«ã¡ è·¯ç·ãã¹ã§é³´éå¸ã«ãã大å¡å½éç¾è¡é¤¨ã«åãããéä¸ã大å¡å½éç¾è¡é¤¨ããã島ã«æ¸¡ãæ©ã®æåã«ã巨大ãªå¤§å¡è£½è¬ã®å庫ã並ã³ããã®å£é¢
ãã¼ã ã¯ç ããªããããããã¯ä¸æè°ãªãããç ããªããååå¯ã¦ããã¿ããã«ãã¦æããããï¼æµ¦æ²¢ï¼ 夢ã®ä¸ã§ãã§ãã¾ããããï¼æ±æï¼ ãã¾ãã«ã¯æ¬æ°ã§å¯ããå¯ã¦ãã¦èµ·ããã¨ï¼ã¹ãã¼ãªã¼ãï¼ã§ãããã£ã¦ãããã ããï¼æµ¦æ²¢ï¼ ï¼ãã¼ã ãæãã®ã«ï¼ããããæ©ãã ãã¨ãã¯ãªãã§ãããã¾ã£ãããé ã®ä¸ã«ãããã¨ãããã ã¤ã¿ã³ã®ããã«ç´ã«éããã¦ãã£ã¦ããã ããªã®ã§ãèãã¦ããæããããã¾ããªãã§ãããã£ã©ãç´ã®ä¸ã§åã£ã¦ããã®ãããã æãã¦ããã¨ããæãã§ããããããããããããããã¨ããå ¨ç¶æã£ã¦ãªãã¦ãï¼æ±æï¼ ï¼ã¢ã·ã¹ã¿ã³ãã«ï¼è¥ãåããã£ã±ãæ¥ã¦ãããã¨ãä»ã£ã½ããªãã£ã¦ããããç»é¢ããå¤ããªãã®ãä¸çªãããªãã§ããããä¸æã§ãããããæ°é®®å³ããªãã¨ãããªãã§ããï¼æ±æï¼ çµµãæãã¨ãã«ãããæ°ã«ãã¦ããã®ããç©ã®éã¿ã髪ã®æ¯ã®éã¿ãããµãã£ã¨ããåã¯ãµãã£ã¨ãã¦ããã¨ããçç©ããæµ´è¡£ã®éã¿ã¨å¬
ãã¨ã¿ã®æè¡éçºæ¬é¨é·ãä¼å¢æ¸ è²´æ°ã¯çºè¡¨æã§ããä»åã®é£æºã§ã¯ãã¯ã«ãã«çã¾ãããã客æ§ã®æ®ããå ¨è¬ãããè¯ããã®ã«ãããã¨ãç®æ¨ã«ãç 究ã«åãçµãã§ãããã¨èªã£ããã©ãã®ææã¯èªåè»ããããããæ å ±ãµã¼ãã¹ãªã©å°æ¥ã®è£½åéçºã«å¹ åºãå¿ç¨ãã¦ããã¨ãã¦ããã é転æ¯æ´ã«ã¤ãã¦ã¯ãGoogleã®ãããªäººéã«ããé転ãæé¤ããå®å ¨ãªèªåé転è»ãç®æãã®ã§ã¯ãªãã人éã®å¿«é©ã§å®å ¨ãªãã©ã¤ãã³ã°ãæ¯æ´ããæ¹åãç®æãã¨ãã¦ãããä¼å¢æ°ã¯ãã人éã¨ã¯ä½ãã¨ããç 究ãé²ããå°æ¥çã«ã¯è人ã«ãé転å¯è½ãªæè¡ãéçºããããã¨èªã£ãã è¨è ä¼è¦ã§ã¯ãCSAILã®ããã¨ã©ã»ã©ã¹ææãèªåè»ã§ã®AIå¿ç¨ã®ä¾ã¨ãã¦ãé転è ã®å¿èº«ã®ç¶æ ãæ¤ç¥ãã¦ä¸èª¿ãªã¨ãã«ã¯å¥½ã¿ã®é³æ¥½ã®åçãç³ãåºãããã¹ãã¼ããã¼ã æ©è½ã¨é£ä¿ãã¦èªå® ã®å·èµåº«ããã§ãã¯ãã帰ãã«çä¹³ãè²·ãããã¢ããã¤ã¹ããã¨ãã£ãæ©è½ãç´¹ä»ããã ææã«ã¤ãã¦ã®
ã³ã³ãã³ããããã¯ãæå¹ã§ãããã¨ãæ¤ç¥ãã¾ããã ãã®ãµã¤ããå©ç¨ããã«ã¯ãã³ã³ãã³ããããã¯æ©è½ï¼åºåãããã¯æ©è½ãæã¤æ¡å¼µæ©è½çï¼ãç¡å¹ã«ãã¦ãã¼ã¸ãåèªã¿è¾¼ã¿ãã¦ãã ããã â
æ¥æ¬è¿æµ·ã®å¤ªå¹³æ´ã§ããµããæ¼ç²ããä¸å½ã®æ¼è¹ãæ¥å¢ãã¦ãããã¨ãæ°´ç£åºã®èª¿ã¹ã§åãã£ããéå»ã®ä¹±ç²ã§ããµãã®è³æºéã¯ä¸æãå±æ©çãªç¶æ³ã«é¥ã£ãããè¿å¹´ã¯æ¥æ¬å½å ã®æ¼ç²å¶éã«ãã£ã¦å復å¾åã«ãããããããä¸å½æ¼è¹ã®æ¥å¢ãåãã¦ãæ¥æ¬æ¿åºã¯ãããµãã®è³æºéã®æ¯æ¸ã«ã¤ãªãããã¨ã®æ¸å¿µãå¼·ãã¦ãããä¸å½å´ã«æ¼ç²éã®åæ¸ãªã©ãæ±ãã¦ããæ¹éã ããæ¾åä½è¼ã ããµã³ããâ¦ï¼ãè³æºéã¨å½ã»å°åå¥ã®æ¼ç²éã®æ¨ç§»ã°ã©ã ãæ°´ç£åºã«ããã¨ãä¸å½æ¼è¹ãæ¥å¢ãã¦ããã®ã¯ä¸é¸ãåæµ·éæ²ã§ãæ¥æ¬ãæ¼æ¥ã®è¦å¶æ¨©éãæã¤ãæä»ççµæ¸æ°´åï¼ï¼¥ï¼¥ï¼ºï¼ãããããå¤ããå ¬æµ·ä¸ãä»å¹´ï¼æ以éã ãã§è¨ç´ï¼ï¼ï¼é»ãããµããæ¼ç²ãã¦ãããã¨ã確èªãããå ¬æµ·ã§ã¯ç¾å¨ãæ¼ç²å¶éãªã©ã®ã«ã¼ã«ã¯é©ç¨ããã¦ããããåãæ¾é¡ã®ç¶æ³ã ã ä¸å½å´ã¯ï¼ï¼ï¼ï¼å¹´ã®ããµãæ¼è¹ã¯ï¼ï¼é»ã¨èª¬æãã¦ãããçæéã§æ¥å¢ãããã¨ã«ãªããä¸å½å ã§ã¯çµæ¸æé·ã«ä¼´ã£ã¦éã®
å¦å¨ ãçç±ã«å¥³æ§è·å¡ã解éããæ¯æ£å§åã«ãå¾ããªãã£ãã¨ãã¦ãåçå´åçã¯ï¼æ¥ãç·å¥³éç¨æ©ä¼åçæ³ã«åºã¥ãè¨åçã®å»é¢åãå ¬è¡¨ãããå ¬è¡¨å¶åº¦ã¯ï¼ï¼ï¼ï¼å¹´ãããã£ãããå®éã«å ¬è¡¨ããã®ã¯åãã¦ã ã åå´çãå ¬è¡¨ããã®ã¯ãè¨åççä¹ å¸ã®å»çæ³äººãå»å¿ä¼ãã®çä¹ ç®èç§å»é¢ï¼å®è¯å²¡åããããããããããé¢é·ï¼ãä»å¹´ï¼æãæ£è·å¡ã ã£ãï¼ï¼ä»£ååã®çè·å©æã®å¥³æ§ããé¢é·ã«å¦å¨ ãããã¨ãåããã¨ãããé¢é·ã¯å¾æ¥ããå¦å©¦ã¯ãããªããææ¥ããæ¥ãªãã¦ãããã¨è¿°ã¹ã解éããã¨ããã 女æ§ãè¨åå´åå±ã«ç¸è«ããè¨åå´åå±é·ãåçå´åç¸åã«ãã解éã®æ¤åãæ±ããæ¯æ£å§åãè¡ã£ãããé¢é·ã¯ãåçæ³ãå®ãã¤ããã¯ç¡ããã¨ãã¦å¾ããªãã£ãã¨ããã åçæ³ã¯å¦å¨ ãåºç£ãçç±ã¨ã⦠ãã®è¨äºã¯ææä¼å¡è¨äºã§ããææä¼å¡ã«ãªãã¨ç¶ãããèªã¿ããã ãã¾ãã ãã®è¨äºã¯ææä¼å¡è¨äºã§ããææä¼å¡ã«ãªãã¨ç¶ãããèªã¿ããã ãã¾ãã
2015-09-04 é»æ°æ³³åã§æ¤ç©ããã¹ã±ã¹ã±ã«ãããã¨ãåºæ¥ã ç§å¦ ãã®ããã°ããèªã¿ã®çæ§ãªãã2013å¹´é ã«ãé»æ°æ³³åã§è³ãéæåããæè¡ããçºè¡¨ããããã¨ãè¦ãã¦ããæ¹ãå¤ãã¨æããã¾ãã ãé»æ°æ³³åã§è³ãéæåããæè¡ããåãï¼Natureã«åºãè¡æã®è«æã«ä¸çä¸ã®ç§å¦è ã沸ã - ã¢ã¬å¾ ããã¾ã CLARITYã¨åä»ãããããã®æè¡ã¯ãè³ã ãã§ãªãèºãè èã¨ãã£ãçµç¹ãéæåããããã¨ãåºæ¥ã¾ãã ãããæ¤ç©ã®ç´°èã¯ç´°èå£ã¨ããâããªã¢âãç´°èã®å¨ãã«æã¤ãããCLARITYæ³ãæ¤ç©ã«é©å¿ãããã¨ã¯ã¾ã åºæ¥ã¦ãã¾ããã§ããã PEA-CLARITY: 3D molecular imaging of whole plant organs (Scientific Reports, 2015) ä»åãç 究ã°ã«ã¼ãã¯CLARITYã¨é µç´ å¦çãçµã¿åããã¦èã£ã±ãéæåãããã¨ã«æ
ãï¼ã¾ãï¼ãã¾ã ããããããªããã©ããã¥ã¼ããªããæ¤åºãããããããããããã¦ãã¤ãã«ãï¼ç§ãã¡ã®ï¼å¤©ã®å·éæ²³ã§è¶ æ°æãåºç¾ï¼ï¼ï¼ï¼ãã¢ã³ã¿ã¬ã¹ä»è¿ããã â Shin-ya Narusawa (@Doro_tan) 2015, 9æ 4 ã¢ã³ã¿ã¬ã¹ä»è¿ãããã¥ã¼ããªããæ¤åºããã¾ããããããæ¤åºããæé é¡ã®ååããã¢ã³ã¿ã¬ã¹ãã¨ãããããã§ããXç·ãæ¤åºãããããã§ãã â Shin-ya Narusawa (@Doro_tan) 2015, 9æ 4 ãã¥ã¼ããªãã¨Xç·ã®é¢é£ã¯ã¾ã ä¸æã¨ã®äºã§ããã¢ã³ã¿ã¬ã¹ä»è¿ãããã¥ã¼ããªããæ¤åºãããã â Shin-ya Narusawa (@Doro_tan) 2015, 9æ 4 ãã¥ã¼ããªããæ¥ãã®ã¯ãã¢ã³ã¿ã¬ã¹ãã®ãã®ã§ã¯ãªãã§ããã¢ã³ã¿ã¬ã¹ã®ä»è¿ã®é åã§ããã¨ããããããã«ãããã®éæ²³ã¯æªæ¤åºãããã§ããã¾ããããã®éæ²³ã®è¶ æ°æãªããã¥
ãã¡ã¿ãå¥è¨ºããåãããã¹ã¦ã®äººã®ãã¼ã¿ãèç©ãã¦ãå»çè²»ã®æå¶ã«ã¤ãªãããã¨åçå´åçãæ´åããã·ã¹ãã ã«è¨è¨ãã¹ãããããããï¼ï¼ï¼ ã®äººã®ãã¼ã¿ããæ´»ç¨ã§ããªãç¶æ ã ã£ãã®ã«éç¨ãéå§ããã¦ï¼å¹´çµã£ãä»ãæ¹ä¿®ããã¦ããªããã¨ãä¼è¨æ¤æ»é¢ã®èª¿ã¹ã§åããã¾ããã ãããä¼è¨æ¤æ»é¢ã«ããã¾ãã¨åã人ã®ãã¼ã¿ã§ãå¥åº·ä¿éºè¨¼ã®çªå·ãªã©ãåè§æåã¨å ¨è§æåã¨ãã£ãç°ãªãå½¢å¼ã§æä¾ãããã¨æå·åããéã«åã人ã®ãã®ã¨èªèãããªããªããªã©ã®è¨è¨ãã¹ããããå¹³æï¼ï¼å¹´åº¦ããã®ï¼å¹´éã§ã¯ã¡ã¿ãå¥è¨ºãåãã人ã®ï¼ï¼ï¼ ãããã¼ã¿ãçªåã§ããªãã£ãã¨ãããã¨ã§ããå½ã¯æ¨å¹´åº¦ã¾ã§ã®ï¼å¹´éã«ã¡ã¿ãå¥è¨ºã«ï¼ï¼ï¼ï¼ååä½ãã®è£å©éãæå ¥ãã¦ãã¾ããããã®å¹æã®æ¤è¨¼ã«ãã·ã¹ãã ãååæ´»ç¨ã§ããªãäºæ ã¨ãªã£ã¦ãã¾ãã åçå´åçã¯ï¼å¹´åã«ã¯çªåçãä½ããã¨ãææ¡ãã¾ããããåå ãåãããæ¹ä¿®ãã¦ããªãã£ãã¨ãããã¨ã§ãä¼è¨
5. ã©ã¤ãã©ãªãè²ã åºã¦ãã¦ãDeep Learning ãå¾ã ã«ä½¿ããç°å¢ãæ´ã£ã¦ãã¾ãããï¼ 5 ⢠Pylearn2(http://deeplearning.net/software/pylearn2/) ⢠Caï¬e(http://caï¬e.berkeleyvision.org/) ⢠Theano(http://deeplearning.net/software/theano/) ⢠H2O(https://cran.r-project.org/web/packages/h2o/index.html) ⢠Deeplearning4j(http://deeplearning4j.org/) ⢠Torch(http://torch.ch/) ⢠noleam(https://pythonhosted.org/nolearn/) ⢠Chainer(http://chainer.
å æ¥ãè¨ãã建è¨è²»ãåé¡ã§ç½ç´ã«ãªã£ãæ±äº¬äºè¼ª2020ã®ç«¶æä¼å ´åé¡ãããã«ç¶ãã¦è¿½ãè¨ã¡ããããäºæ ãçºçãã¾ããã ãâ¦2015å¹´07æ31æ¥ æ±äº¬äºè¼ªãã´ã±ããçæã§æåãã¶ã¤ãã¼ä½éç äºéæ°ãå¨æ¥èªå®ããã éè¨ ãã¥ã¼ã¹ãããå³ç¿¼ï¼ããã¦ã¨ï¼äºè¼ªï¼ãªãªã³ããã¯ï¼å¨æ¥å·®å¥æ¹è©ã»ææ³ã»èå¯ å æ¥ãè¨ãã建è¨è²»ãåé¡ã§ç½ç´ã«ãªã£ãæ±äº¬äºè¼ª2020ã®ç«¶æä¼å ´åé¡ãããã«ç¶ãã¦è¿½ãè¨ã¡ããããäºæ ãçºçãã¾ããã ããã¯æ±äº¬äºè¼ª2020ã®ãã´ï¼ã¨ã³ãã¬ã ï¼ã®çä½çæã§ããå¶ä½è ã¯èåãªãã¶ã¤ãã¼ã§ãããä½éç äºéæ°ããã´ã¯ããã°ãé¡ãã§ããããããããããã¯ãªã§ããã°è´å½çãªåé¡ã«ãªãã¨æãã¾ãããï¼ ãã®åé¡ã®ãã´ãè¦ã¦ã¿ã¾ãããã å·¦ãæ±äº¬äºè¼ª2020ã®ãã´ã§ãå³ããã¯ãããã¨ä¸»å¼µãããã«ã®ã¼ã»ãªã¨ã¼ã¸ã¥åå ´ã®ãã´ãã¨ã¦ãä¼¼ã¦ãã¾ããããã¨ãããã»ã¼åãã§ããå½¢ç¶çã«ãã£ãããªã®ã¯è¨ã
ã©ã³ãã³ã°
ã©ã³ãã³ã°
ã©ã³ãã³ã°
ãªãªã¼ã¹ãé害æ å ±ãªã©ã®ãµã¼ãã¹ã®ãç¥ãã
ææ°ã®äººæ°ã¨ã³ããªã¼ã®é ä¿¡
j次ã®ããã¯ãã¼ã¯
kåã®ããã¯ãã¼ã¯
lãã¨ã§èªã
eã³ã¡ã³ãä¸è¦§ãéã
oãã¼ã¸ãéã
{{#tags}}- {{label}}
{{/tags}}