
ãã @arslvsa ä»ãã¼ã«ã«ã§ãéå®ã¢ã«ãã ãè²·ããªãã£ããå»ç¤ã®æ²ãèããªããã¡ã³ã®ããã«ããã¡ã³ã1人3000åã®åºè³éã§400人åã®ãéãéãã¦ã©ã¸ãªã®çªçµæ ãè²·ãä¸ãã¦è使¨©åé¡ãã¯ãªã¢ã«ãã¦ããæã«å ¥ããªã楽æ²ãã©ã¸ãªã§æµãã¦ã·ã§ã¢ãã¦ããã£ã¦ã®ããã£ã¦ã¦éãã¦ãããã£ã¡ãããã 2022-01-06 18:36:18 ãã @arslvsa å°å¹´éãã¡ã³ããããç¥æµã¨çµæãã©ã¸ãªã§æµãç¶ããéãããã¤ã¾ã¦ãéå»ã«ã¯ãªããªãã£ã¦ãã¡ã³ãçªçµãä½ã£ã¦ããã¸ã£ããªã¿ã¨ãã¦æ§ããæçµå½¢æ ããã¤ããããªãã¨ããã£ã¦ã¿ãããªã 2022-01-06 18:41:45
ç¹å®çé¿ããããã«è²ã ã¼ããã¦æ¸ãããç¾½ç°ã®ç©ºæ¸¯æ¤ç«ã§å¼ã£ãããããã«éé¢ä¸ãä»å¾åæ§ãªäºæ ã«é¥ã£ã人åãã«ã§ãåèã«ãªãã°ã¨æããã¨ããããã¡ã¢æ¸ãæä¸ãããæ°ãã«ããã£ããã¨ãããã°è¿½è¨äºå®ãããè¨äºã¸ã®åå¿ãããã°ãé©å®æ¾ã£ã¦ããã¤ããã æ³å®è³ªå ãã¤ããã£ã¦ããã® 12æä¸æ¬ã1æä¸æ¬ ãªãã§ãã®ææã«å¸°ã£ã¦ããã® ç¹å®ãé¿ãããããã¼ã³ã¡ã³ãã ãã彿°ãæ¤ç«æã®çããã«è¿·æãããã¦ãã¾ãç³ã訳ãªããçµæçã«é½æ§ã«ãªã£ã¦ãã¾ã£ã¦ãå»çå¾äºè ã«ãè¿·æãããã¦ãã¾ã£ã ã©ãã«è¡ã£ã¦ãã® ç¹å®ãé¿ãããããã¼ã³ã¡ã³ããã¢ã¡ãªã«çµç±ã§å¸°ã£ã¦ããã ä½ãã«è¡ã£ã¦ãã® ä»äº ãªãã¯ãã³ï¼ ç¾æç¹ã§ã¯ä¸æã夿徿ãã¦ãããããã䏿ã åå´çã®ãã¬ã¹ãªãªã¼ã¹ ãè¦ãã°èªåã§ã¯å¾ã§åãããããããªãã ããã£ãã追è¨ãã çç¶ã¯ 軽ãåçã¯ã¯ãã³ã¯ ãã¡ã¤ã¶ã¼2åæ¥ç¨®æ¸ã¿ï¼8æï¼ã³ããææãã¦
togetter.com æ£ææãã«ãã50代ãããã«ãªãã¨ä½ããã£ã¦ãè¤ããããªãã¦ãä¸å®ã«ãªããæ¿èªæ¬²æ±ãããããã人ãå¤ããã¨ããtogetterãçºè¦ããã æ¬å½ã ãããï¼ ã ã¨ãããä¸ç¥è¾ãä¸ã®ä¸ã ã大å¤ã§ãããã§ãèªåãç¡é¢ä¿ã¨ã¯è¨ããªããªããªã©ã¨æã£ãã ããããã50代ã«ããªã£ã¦ä»äººã«è¤ããããããããããè¤ãããã¦ããã¨ã¯ã£ãããããããã¡ã§ä»è ããã®æ¿èªãããã ãããå¿å¢ã¨ã¯ãã©ããªãã®ã ãããã ç§ã¯ããã®ãããªå¿å¢ã¯ ã»å¿ççºéã®ããã»ã¹ãå³ããã£ããã¨ã®ããããã ã»ãã®äººãåãå²ãç°å¢ãç¹ã«é£ãããªã£ã¦ããã ã®ã©ã¡ããã«æãããã©ã£ã¡ã«ãã¦ãæ» è¶è¦è¶å³ããããâ¦â¦ã¨ãã£ãé¢¨ã«æã£ããããããæ¡å¤ä»äººäºã¨ãæããªãã£ããããããä»åã¯ããããã«ã¤ãã¦æ¸ãã¦ã¿ãã ã50代ã«ãªã£ã¦ãããããããè¤ããããªããä¸å®ã£ã¦ã©ãããå¿ççºéãªã®ãã ã¾ãå¿ççºéã®ããã»ã¹
横æµå¸ã¯ã60代ã®ç·æ§ãæ°åã³ããã®å»çå¾äºè åãã®ã¯ã¯ãã³ã®åªå æ¥ç¨®ãåãããã¨ãå奿¥ç¨®ã§ããã®å 容ãç³åãã¦ãåããã¦4åã®æ¥ç¨®ãåãã¦ãããã¨ãæããã«ãã¾ããã æ¨ªæµå¸ã«ããã¾ãã¨ãå¸å ã®å»çæ©é¢ã§æ¸ ææ¥åããã¦ãã60代ã®ç·æ§ãå»å¹´3æã¨4æã«å»çå¾äºè åãã®åªå æ¥ç¨®ãåãããã¨ãå»å¹´9æã¨12æã«å奿¥ç¨®ã§3åç®ã¨4åç®ã®æ¥ç¨®ãåããã¨ãããã¨ã§ãã ç·æ§ã¯ã3åç®ã®æ¥ç¨®ã¯ãã¹ã¦ã®å¸æ°ã«éãããæ¥ç¨®å¸ã使ã£ã¦åããäºè¨ºç¥¨ã«æ¥ç¨®ã®åæ°ã1åç®ã¨è¨å ¥ã4åç®ã®æ¥ç¨®ã¯å»çå¾äºè ã«éãããæ¥ç¨®å¸ã使ã£ã¦åããäºè¨ºç¥¨ã«3åç®ã®æ¥ç¨®ã¨è¨å ¥ãããªã©ãããããããã®å 容ãç³åãã¦ããã¨ãããã¨ã§ãã ç·æ§ãå æãæ¥ç¨®è¨¼æãã»ãããã¨å¸ã«é£çµ¡ãã¦ãããã¨ããäºå®ãããã£ãã¨ãããã¨ã§ãã æ¨ªæµå¸ã¯é大ãªå¥åº·è¢«å®³ã«ã¤ãªããããããããã¨ãã¦ãçãéãã¦å½ã«å ±åããã¨ã¨ãã«ãé©åãªééã¨åæ°ã§æ¥ç¨®
Innovative Techï¼ ãã®ã³ã¼ãã¼ã§ã¯ããã¯ããã¸ã¼ã®ææ°ç ç©¶ãç´¹ä»ããWebã¡ãã£ã¢ãSeamlessãã主宰ããå±±ä¸è£æ¯ æ°ãå·çãæ°è¦æ§ã®é«ãç§å¦è«æã山䏿°ãããã¯ã¢ãããã解説ããã çæ³¢å¤§å¦è½åç 究室ã®ç ç©¶ãã¼ã ãéçºãããGoshuin 2.0: Construction of the Worldâs Largest Goshuin Dataset and Automatic Generation System of Goshuin with Neural Style Transferãï¼å¾¡æ±å°2.0ï¼ã¯ãããã¹ããã御æ±å°ãèªåçæããå¦ç¿ãã¼ã¹ã®ã·ã¹ãã ã ãè¨ç·´ç¨ã®ãã¼ã¿ã»ããã¯ã寺社1000ã«æä»¥ä¸ã訪åãåå¾ãã御æ±å°ãåºã«å¤§è¦æ¨¡ã«ãã¼ã¿åããã 御æ±å°ã¨ã¯ãæ¥æ¬ã®ç¥ç¤¾ãã寺ã«åæãã証ã¨ãã¦éãããããã®ã ã御æ±å°ã¯ãããããå°ç« ã¨å¯ºç¤¾ã®åç§°ãæ¬å°ï¼ç¥ç¥ã®
ããã½ããã¯ã¯6æ¥ã叿ãã社å¡ãé±ä¼3æ¥ãé¸ã¹ãå¶åº¦ãå°å ¥ããæ¹éãæããã«ããã対象ã¨ãªã社å¡ãéå§ææãªã©ã¯ä»å¾è©°ããã坿¥ãå¦ç¿ãå°åãã©ã³ãã£ã¢ãªã©ä¼ç¤¾å¤ã§ã®åãçµã¿ãæ¨å¥¨ãã社å¡ãåããããç°å¢ã¥ãããé²ããã忥éããæè³å®¶åã説æä¼ã§æ¥ è¦éè¦ç¤¾é·ãæããã«ããããå ·ä½çã«ã¯ï¼4æã«
å½ä¼è°å¡ãæèè ãè°è«ããã¤ã³ã¿ã¼ãããå ±éçªçµãå¶ä½ãé ä¿¡ãããï¼£ï½ï½ï½ï½ï½ ãLï½ï½ï½ ãï¼°ï½ï½ï½ï½ ï½ï½ï¼ï¼£ï¼¬ï¼°ï¼ãããç«æ²æ°ä¸»å ããçªçµå¶ä½è²»åç®ã§è¨ï¼åä¸å以ä¸ã®è³éæä¾ãåããªããäºå®é¢ä¿ãä¼ãã¦ããã¨ãããåé¡ãããããç¦å±±å²éåå¹¹äºé·ã¯ï¼æ¥ãããã§ã¤ã¯ãã¥ã¼ã¹ã«å¯¾æããã¡ãã£ã¢ã®ç念ã«å ±æãããããåºå代çåºã¨å¶ä½ä¼ç¤¾ãéãã¦çªçµå¶ä½ãæ¯æ´ãããã¨ããã³ã¡ã³ããçºè¡¨ããã ç¦å±±æ°ã¯ãèªç«ã§ããã¾ã§ã®æéã ãçªçµå¶ä½ãæ¯æ´ãããã¨ã¨ãããã®å¾èªç«ã§ããæ¯æ´ã®å¿ è¦ããªããªã£ãã¨ãã¦å æ¹ããç³ãåºãåããæ¯æ´ã¯çµäºãããã¨èª¬æããããã®ä¸ã§ãç念ã«å ±æãã¦çªçµå¶ä½ä¸è¬ãæ¯æ´ãããã®ã§ãçªçµå 容ãªã©ã«ã¤ãã¦é¢ä¸ãããã®ã§ãªããã¨å¼·èª¿ããã
æ¥æ¬éµæ¿ã°ã«ã¼ããã2020å¹´10æã®æé«è£å¤æ±ºã§ãæ£ç¤¾å¡ã¨éæ£ç¤¾å¡ã®å¾ éã«ä¸åçãªæ ¼å·®ããããã¨èªå®ãããå´åæ¡ä»¶ã«ã¤ãã¦ãæ ¼å·®ã縮ããè¦ç´ããå´åçµåã«ææ¡ãããã¨ãããã£ããæ£ç¤¾å¡ã®ä¼æãæ¸ãâ¦
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}}