{"id":58,"date":"2026-04-17T20:04:55","date_gmt":"2026-04-17T20:04:55","guid":{"rendered":"https:\/\/ai-cloud.kr\/?p=58"},"modified":"2026-04-18T15:21:53","modified_gmt":"2026-04-18T06:21:53","slug":"ai-%ec%95%b1-%ec%86%8d%ec%9c%bc%eb%a1%9c-%ec%98%a8%eb%94%94%eb%b0%94%ec%9d%b4%ec%8a%a4-%ed%8c%8c%ec%9a%b4%eb%8d%b0%ec%9d%b4%ec%85%98-%eb%aa%a8%eb%8d%b8-%ec%8b%9c%eb%8c%80-%ea%b0%9c%eb%a7%89","status":"publish","type":"post","link":"https:\/\/ai-cloud.kr\/?p=58","title":{"rendered":"AI, \uc571 \uc18d\uc73c\ub85c\u2026 \uc628\ub514\ubc14\uc774\uc2a4 \ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378 \uc2dc\ub300 \uac1c\ub9c9(AI Moves Into Apps: The Era of On-Device Foundation Models Begins)"},"content":{"rendered":"<h2>AI, \ud074\ub77c\uc6b0\ub4dc\ub97c \ub118\uc5b4 \uae30\uae30 \uc548\uc73c\ub85c: \uc628\ub514\ubc14\uc774\uc2a4 \ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378\uc758 \ub4f1\uc7a5<\/h2>\n<p>\uba87 \ub144 \uc804\ub9cc \ud574\ub3c4 \uc778\uacf5\uc9c0\ub2a5(AI)\uc740 \ubcf5\uc7a1\ud55c \uc5f0\uc0b0\uc744 \uc704\ud574 \uac70\ub300\ud55c \uc11c\ubc84, \uc989 \ud074\ub77c\uc6b0\ub4dc\ub97c \uc774\uc6a9\ud558\ub294 \uac83\uc774 \ub2f9\uc5f0\ud588\uc2b5\ub2c8\ub2e4. \uc2a4\ub9c8\ud2b8\ud3f0\uc73c\ub85c \uc0ac\uc9c4\uc744 \ucc0d\uc73c\uba74 \ud074\ub77c\uc6b0\ub4dc \uc11c\ubc84\ub85c \uc804\uc1a1\ub418\uc5b4 AI\uac00 \uc5bc\uad74\uc744 \uc778\uc2dd\ud558\uace0, \uc74c\uc131 \ube44\uc11c\uc5d0\uac8c \uc9c8\ubb38\ud558\uba74 \ud074\ub77c\uc6b0\ub4dc\uc5d0\uc11c \ub2f5\uc744 \ucc3e\uc544 \ub4e4\ub824\uc8fc\ub294 \ubc29\uc2dd\uc774\uc5c8\uc8e0. \ud558\uc9c0\ub9cc \uc774\uc81c AI\ub294 \uc6b0\ub9ac\uc758 \uc190\uc548\uc5d0 \uc788\ub294 \uc2a4\ub9c8\ud2b8\ud3f0, \ub178\ud2b8\ubd81 \ub4f1 \uac1c\ubcc4 \uae30\uae30 \uc548\uc73c\ub85c \uc9c1\uc811 \ub4e4\uc5b4\uc624\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubc14\ub85c \u2018\uc628\ub514\ubc14\uc774\uc2a4(On-Device) \ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378\u2019 \ub355\ubd84\uc785\ub2c8\ub2e4.<\/p>\n<p>\uc774 \ubcc0\ud654\ub294 \ub2e8\uc21c\ud788 \uae30\uc220\uc801\uc778 \ubc1c\uc804 \uc774\uc0c1\uc758 \uc758\ubbf8\ub97c \uc9c0\ub2d9\ub2c8\ub2e4. \uc6b0\ub9ac\uc758 \uc77c\uc0c1\uc0dd\ud65c, \uc5c5\ubb34 \ubc29\uc2dd, \uadf8\ub9ac\uace0 AI\uc640\uc758 \uc0c1\ud638\uc791\uc6a9 \ubc29\uc2dd\uc744 \uadfc\ubcf8\uc801\uc73c\ub85c \ubc14\uafc0 \uc7a0\uc7ac\ub825\uc744 \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \uc628\ub514\ubc14\uc774\uc2a4 \ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378\uc774 \ubb34\uc5c7\uc778\uc9c0, \uc65c \uc911\uc694\ud558\uba70, \uc55e\uc73c\ub85c \uc6b0\ub9ac \uc0b6\uc5d0 \uc5b4\ub5a4 \uc601\ud5a5\uc744 \ubbf8\uce60\uc9c0\uc5d0 \ub300\ud574 \uc27d\uace0 \uc790\uc138\ud558\uac8c \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>\uc628\ub514\ubc14\uc774\uc2a4 \ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378, \ubb34\uc5c7\uc774 \ub2e4\ub978\uac00?<\/h3>\n<p>\u2018\ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378(Foundation Model)\u2019\uc740 \ub300\uaddc\ubaa8 \ub370\uc774\ud130\ub85c \uc0ac\uc804 \ud559\uc2b5\ub418\uc5b4 \ub2e4\uc591\ud55c \ud558\uc704 \uc791\uc5c5\uc5d0 \uc801\uc6a9\ub420 \uc218 \uc788\ub294 AI \ubaa8\ub378\uc744 \ub9d0\ud569\ub2c8\ub2e4. GPT-3, BERT \ub4f1\uc774 \ub300\ud45c\uc801\uc778 \uc608\uc2dc\uc8e0. \uc774 \ubaa8\ub378\ub4e4\uc740 \ubc29\ub300\ud55c \uc9c0\uc2dd\uacfc \uc5b8\uc5b4 \uc774\ud574 \ub2a5\ub825\uc744 \uac16\ucd94\uace0 \uc788\uc5b4, \ubc88\uc5ed, \uc694\uc57d, \uc791\ubb38, \ucf54\ub529 \ub4f1 \uc5ec\ub7ec \ubd84\uc57c\uc5d0\uc11c \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubcf4\uc785\ub2c8\ub2e4.<\/p>\n<p>\uae30\uc874\uc758 \ub9ce\uc740 \ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378\uc740 \ud074\ub77c\uc6b0\ub4dc \uae30\ubc18\uc73c\ub85c \uc791\ub3d9\ud588\uc2b5\ub2c8\ub2e4. \uc0ac\uc6a9\uc790\uc758 \uc694\uccad\uc774 \ud074\ub77c\uc6b0\ub4dc \uc11c\ubc84\ub85c \uc804\uc1a1\ub418\uace0, \uac70\uae30\uc11c AI\uac00 \ucc98\ub9ac\ud55c \ud6c4 \uacb0\uacfc\ub97c \ub2e4\uc2dc \uc0ac\uc6a9\uc790\uc5d0\uac8c \ubcf4\ub0b4\uc8fc\ub294 \ubc29\uc2dd\uc774\uc5c8\uc8e0. \uc774\ub294 \uac15\ub825\ud55c \uc131\ub2a5\uc744 \uc81c\uacf5\ud558\uc9c0\ub9cc, \uba87 \uac00\uc9c0 \ub2e8\uc810\uc774 \uc788\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n<ul>\n<li>\n<p><strong>\uac1c\uc778\uc815\ubcf4 \ubcf4\ud638 \ubb38\uc81c:<\/strong> \ubbfc\uac10\ud55c \uc815\ubcf4\uac00 \uc678\ubd80 \uc11c\ubc84\ub85c \uc804\uc1a1\ub418\uc5b4\uc57c \ud558\ubbc0\ub85c \uac1c\uc778\uc815\ubcf4 \uc720\ucd9c\uc774\ub098 \uc624\uc6a9\uc758 \uc704\ud5d8\uc774 \uc874\uc7ac\ud588\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc751\ub2f5 \uc9c0\uc5f0:<\/strong> \ub370\uc774\ud130 \uc804\uc1a1 \ubc0f \ucc98\ub9ac \uacfc\uc815\uc5d0\uc11c \uc2dc\uac04\uc774 \uc18c\uc694\ub418\uc5b4 \uc2e4\uc2dc\uac04 \uc751\ub2f5\uc774 \ud544\uc694\ud55c \uacbd\uc6b0 \ubd88\ud3b8\ud568\uc774 \uc788\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc778\ud130\ub137 \uc5f0\uacb0 \ud544\uc218:<\/strong> \uc778\ud130\ub137 \uc5f0\uacb0\uc774 \ubd88\uc548\uc815\ud558\uac70\ub098 \ubd88\uac00\ub2a5\ud55c \ud658\uacbd\uc5d0\uc11c\ub294 AI \uae30\ub2a5\uc744 \uc0ac\uc6a9\ud558\uae30 \uc5b4\ub824\uc6e0\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ube44\uc6a9 \ubb38\uc81c:<\/strong> \ud074\ub77c\uc6b0\ub4dc \uc11c\ubc84 \uc6b4\uc601 \ubc0f \ub370\uc774\ud130 \uc804\uc1a1\uc5d0 \uc0c1\ub2f9\ud55c \ube44\uc6a9\uc774 \ubc1c\uc0dd\ud588\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ul>\n<p>\ubc18\uba74, <strong>\uc628\ub514\ubc14\uc774\uc2a4 \ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378<\/strong>\uc740 \uc774\ub7ec\ud55c \ub2e8\uc810\uc744 \uadf9\ubcf5\ud569\ub2c8\ub2e4. \uc774\ub984 \uadf8\ub300\ub85c AI \ubaa8\ub378\uc774 \uc0ac\uc6a9\uc790\uc758 \uae30\uae30(\uc2a4\ub9c8\ud2b8\ud3f0, \ud0dc\ube14\ub9bf, \ub178\ud2b8\ubd81, \uc790\ub3d9\ucc28 \ub4f1) \uc790\uccb4\uc5d0 \ud0d1\uc7ac\ub418\uc5b4 \uc791\ub3d9\ud569\ub2c8\ub2e4. \ubcc4\ub3c4\uc758 \uc11c\ubc84 \uc5f0\uacb0 \uc5c6\uc774 \uae30\uae30 \ub0b4\uc5d0\uc11c \ubaa8\ub4e0 \uc5f0\uc0b0\uc774 \uc774\ub8e8\uc5b4\uc9c0\ubbc0\ub85c, \uc55e\uc5d0\uc11c \uc5b8\uae09\ud55c \ud074\ub77c\uc6b0\ub4dc \uae30\ubc18 \ubaa8\ub378\uc758 \ub2e8\uc810\ub4e4\uc744 \ud574\uacb0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>\uc65c \uc9c0\uae08 \uc628\ub514\ubc14\uc774\uc2a4 \ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378\uc774 \uc8fc\ubaa9\ubc1b\ub294\uac00?<\/h3>\n<p>\uc628\ub514\ubc14\uc774\uc2a4 AI \uae30\uc220\uc740 \uac11\uc790\uae30 \ub4f1\uc7a5\ud55c \uac83\uc774 \uc544\ub2d9\ub2c8\ub2e4. \uba87 \ub144 \uc804\ubd80\ud130 \uc2a4\ub9c8\ud2b8\ud3f0\uc5d0\uc11c \uc774\ubbf8\uc9c0 \uc778\uc2dd, \uc74c\uc131 \uba85\ub839 \ucc98\ub9ac \ub4f1\uc758 \uae30\ub2a5\uc774 \uae30\uae30 \uc790\uccb4\uc5d0\uc11c \uc774\ub8e8\uc5b4\uc9c0\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc740 \uafb8\uc900\ud788 \ubc1c\uc804\ud574 \uc654\uc2b5\ub2c8\ub2e4. \ud558\uc9c0\ub9cc \ucd5c\uadfc \ub4e4\uc5b4 \u2018\ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378\u2019\uc774\ub77c\ub294 \uac70\ub300 AI \ubaa8\ub378\uc744 \uae30\uae30 \uc548\uc5d0\uc11c \ud6a8\uc728\uc801\uc73c\ub85c \uad6c\ub3d9\ud558\ub824\ub294 \uc6c0\uc9c1\uc784\uc774 \ubcf8\uaca9\ud654\ub418\uba74\uc11c \u2018\uc628\ub514\ubc14\uc774\uc2a4 \ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378\u2019\uc774 \uae09\ubd80\uc0c1\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\uc774\ub7ec\ud55c \ubcc0\ud654\ub97c \uc774\ub044\ub294 \uba87 \uac00\uc9c0 \uc8fc\uc694 \uc694\uc778\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\ud558\ub4dc\uc6e8\uc5b4 \uc131\ub2a5\uc758 \ube44\uc57d\uc801\uc778 \ubc1c\uc804:<\/strong> \uc2a4\ub9c8\ud2b8\ud3f0, \ub178\ud2b8\ubd81 \ub4f1 \uac1c\uc778\uc6a9 \uae30\uae30\uc758 \uc911\uc559\ucc98\ub9ac\uc7a5\uce58(CPU)\uc640 \uadf8\ub798\ud53d\ucc98\ub9ac\uc7a5\uce58(GPU) \uc131\ub2a5\uc774 \ub180\ub77c\uc6b8 \uc815\ub3c4\ub85c \ud5a5\uc0c1\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \ub610\ud55c, AI \uc5f0\uc0b0\uc5d0 \ud2b9\ud654\ub41c \uc2e0\uacbd\ub9dd\ucc98\ub9ac\uc7a5\uce58(NPU)\uac00 \ud0d1\uc7ac\ub418\uba74\uc11c \ubcf5\uc7a1\ud55c AI \ubaa8\ub378\uc744 \uae30\uae30 \uc548\uc5d0\uc11c \ucc98\ub9ac\ud560 \uc218 \uc788\ub294 \ubb3c\ub9ac\uc801\uc778 \uae30\ubc18\uc774 \ub9c8\ub828\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>AI \ubaa8\ub378 \uacbd\ub7c9\ud654 \ubc0f \ucd5c\uc801\ud654 \uae30\uc220\uc758 \ubc1c\uc804:<\/strong> \uac70\ub300\ud55c \ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378\uc744 \uadf8\ub300\ub85c \uae30\uae30\uc5d0 \ud0d1\uc7ac\ud558\ub294 \uac83\uc740 \uc5ec\uc804\ud788 \uc5b4\ub835\uc2b5\ub2c8\ub2e4. \ud558\uc9c0\ub9cc \ubaa8\ub378\uc758 \ud06c\uae30\ub97c \uc904\uc774\uba74\uc11c\ub3c4 \uc131\ub2a5 \uc800\ud558\ub97c \ucd5c\uc18c\ud654\ud558\ub294 \u2018\uc591\uc790\ud654(Quantization)\u2019, \u2018\uac00\uc9c0\uce58\uae30(Pruning)\u2019 \ub4f1 \ub2e4\uc591\ud55c \uacbd\ub7c9\ud654 \ubc0f \ucd5c\uc801\ud654 \uae30\uc220\uc774 \ubc1c\uc804\ud558\uba74\uc11c \uae30\uae30\uc5d0\uc11c\ub3c4 \uc2e4\uc6a9\uc801\uc778 \uc218\uc900\uc758 AI \ubaa8\ub378 \uad6c\ub3d9\uc774 \uac00\ub2a5\ud574\uc84c\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uac1c\uc778\uc815\ubcf4 \ubcf4\ud638 \ubc0f \ubcf4\uc548\uc5d0 \ub300\ud55c \uad00\uc2ec \uc99d\ub300:<\/strong> \ub370\uc774\ud130 \uc720\ucd9c \uc0ac\uace0\uac00 \ube48\ubc88\ud574\uc9c0\uba74\uc11c \uac1c\uc778\uc815\ubcf4 \ubcf4\ud638\uc758 \uc911\uc694\uc131\uc774 \ub354\uc6b1 \ucee4\uc84c\uc2b5\ub2c8\ub2e4. \uc0ac\uc6a9\uc790\uc758 \ubbfc\uac10\ud55c \uc815\ubcf4\uac00 \uc678\ubd80\ub85c \ub098\uac00\uc9c0 \uc54a\uace0 \uae30\uae30 \uc548\uc5d0\uc11c \ucc98\ub9ac\ub41c\ub2e4\ub294 \uc810\uc740 \uc0ac\uc6a9\uc790\ub4e4\uc5d0\uac8c \ud070 \ub9e4\ub825\uc73c\ub85c \ub2e4\uac00\uc635\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc2e4\uc2dc\uac04 \ubc0f \uc624\ud504\ub77c\uc778 \ud658\uacbd\uc5d0\uc11c\uc758 AI \ud65c\uc6a9 \uc694\uad6c \uc99d\uac00:<\/strong> \uc790\uc728\uc8fc\ud589 \uc790\ub3d9\ucc28, \uc2a4\ub9c8\ud2b8 \ud329\ud1a0\ub9ac, \uc758\ub8cc \uae30\uae30 \ub4f1 \uc2e4\uc2dc\uac04 \ubc18\uc751\uc774 \ud544\uc218\uc801\uc774\uac70\ub098 \uc778\ud130\ub137 \uc5f0\uacb0\uc774 \ubd88\uc548\uc815\ud55c \ud658\uacbd\uc5d0\uc11c AI\uc758 \uc5ed\ud560\uc774 \uc911\uc694\ud574\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc628\ub514\ubc14\uc774\uc2a4 AI\ub294 \uc774\ub7ec\ud55c \uc694\uad6c\ub97c \ucda9\uc871\uc2dc\ud0ac \uc218 \uc788\ub294 \uc720\uc77c\ud55c \ub300\uc548\uc774 \ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>AI \uc811\uadfc\uc131\uc758 \ub300\uc911\ud654:<\/strong> \ud074\ub77c\uc6b0\ub4dc \uc11c\ube44\uc2a4 \uc774\uc6a9 \uc2dc \ubc1c\uc0dd\ud558\ub294 \ucd94\uac00 \ube44\uc6a9\uc774\ub098 \ubcf5\uc7a1\ud55c \uc124\uc815 \uc5c6\uc774, \uae30\uae30\ub9cc \uc788\uc73c\uba74 \ub204\uad6c\ub098 AI\uc758 \ud61c\ud0dd\uc744 \ub204\ub9b4 \uc218 \uc788\uac8c \ub429\ub2c8\ub2e4. \uc774\ub294 AI \uae30\uc220\uc758 \uc811\uadfc\uc131\uc744 \ud06c\uac8c \ub192\uc5ec \ub300\uc911\ud654\uc5d0 \uae30\uc5ec\ud560 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<h3>\uc628\ub514\ubc14\uc774\uc2a4 \ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378, \uc6b0\ub9ac \uc0b6\uc744 \uc5b4\ub5bb\uac8c \ubc14\uafc0\uae4c?<\/h3>\n<p>\uc628\ub514\ubc14\uc774\uc2a4 \ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378\uc758 \ud655\uc0b0\uc740 \uc6b0\ub9ac \uc0dd\ud65c \uacf3\uacf3\uc5d0 \uc2a4\uba70\ub4e4\uc5b4 \ub2e4\uc591\ud55c \ubcc0\ud654\ub97c \uac00\uc838\uc62c \uac83\uc785\ub2c8\ub2e4. \uba87 \uac00\uc9c0 \uad6c\uccb4\uc801\uc778 \uc0ac\ub840\ub97c \ud1b5\ud574 \uadf8 \uac00\ub2a5\uc131\uc744 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h4>1. \uc2a4\ub9c8\ud2b8\ud3f0 \uacbd\ud5d8\uc758 \ud601\uc2e0<\/h4>\n<ul>\n<li>\n<p><strong>\uac1c\uc778\ud654\ub41c AI \ube44\uc11c:<\/strong> \ud604\uc7ac\uc758 \uc74c\uc131 \ube44\uc11c\ub294 \ud074\ub77c\uc6b0\ub4dc \uae30\ubc18\uc73c\ub85c \uc791\ub3d9\ud558\ub294 \uacbd\uc6b0\uac00 \ub9ce\uc9c0\ub9cc, \uc628\ub514\ubc14\uc774\uc2a4 AI \ube44\uc11c\ub294 \uc0ac\uc6a9\uc790\uc758 \ub9d0\ud22c, \uc2b5\uad00, \uc120\ud638\ub3c4\ub97c \ud6e8\uc52c \ub354 \uae4a\uc774 \uc774\ud574\ud558\uace0 \uac1c\uc778\uc5d0\uac8c \ucd5c\uc801\ud654\ub41c \uc751\ub2f5\uacfc \uc11c\ube44\uc2a4\ub97c \uc81c\uacf5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc0ac\uc6a9\uc790\uc758 \uc77c\uc815\uc744 \ud30c\uc545\ud558\uc5ec \ucd5c\uc801\uc758 \uc774\ub3d9 \uacbd\ub85c\ub97c \ucd94\ucc9c\ud558\uac70\ub098, \uc0ac\uc6a9\uc790\uc758 \ucde8\ud5a5\uc5d0 \ub9de\ub294 \uc74c\uc545\uc744 \ubbf8\ub9ac \uc120\uace1\ud574\uc8fc\ub294 \ub4f1 \ub354\uc6b1 \uc2a4\ub9c8\ud2b8\ud558\uace0 \ub2a5\ub3d9\uc801\uc778 \ube44\uc11c \uc5ed\ud560\uc744 \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc2e4\uc2dc\uac04 \uc5b8\uc5b4 \ubc88\uc5ed \ubc0f \ud1b5\uc5ed:<\/strong> \uc778\ud130\ub137 \uc5f0\uacb0 \uc5c6\uc774\ub3c4 \uc2e4\uc2dc\uac04\uc73c\ub85c \uc678\uad6d\uc5b4 \ub300\ud654\ub97c \ubc88\uc5ed\ud574\uc8fc\uac70\ub098, \ubb38\uc11c\uc758 \ub0b4\uc6a9\uc744 \uc989\uc2dc \ubc88\uc5ed\ud574\uc8fc\ub294 \uae30\ub2a5\uc774 \ub354\uc6b1 \uac15\ub825\ud574\uc9c8 \uac83\uc785\ub2c8\ub2e4. \ud574\uc678\uc5ec\ud589\uc774\ub098 \uc678\uad6d\uc778\uacfc\uc758 \uc18c\ud1b5\uc5d0\uc11c \uc5b8\uc5b4 \uc7a5\ubcbd\uc744 \uac70\uc758 \ub290\ub07c\uc9c0 \ubabb\ud558\uac8c \ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ud5a5\uc0c1\ub41c \uce74\uba54\ub77c \ubc0f \uc0ac\uc9c4 \ud3b8\uc9d1 \uae30\ub2a5:<\/strong> \ub2e8\uc21c\ud788 \uc5bc\uad74\uc744 \uc778\uc2dd\ud558\ub294 \uac83\uc744 \ub118\uc5b4, \uc0ac\uc9c4\uc758 \uc804\uccb4\uc801\uc778 \uad6c\ub3c4, \ube5b, \uc0c9\uac10\uc744 \ubd84\uc11d\ud558\uc5ec \uc804\ubb38\uac00 \uc218\uc900\uc758 \ud3b8\uc9d1\uc744 \uc790\ub3d9\uc73c\ub85c \uc801\uc6a9\ud558\uac70\ub098, \uc0ac\uc6a9\uc790\uc758 \uc758\ub3c4\ub97c \ud30c\uc545\ud558\uc5ec \uc6d0\ud558\ub294 \uc2a4\ud0c0\uc77c\ub85c \uc0ac\uc9c4\uc744 \ubcf4\uc815\ud574 \uc904 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub3d9\uc601\uc0c1 \ud3b8\uc9d1\uc5d0\uc11c\ub3c4 \ub354\uc6b1 \ucc3d\uc758\uc801\uc774\uace0 \uc815\uad50\ud55c \uae30\ub2a5\uc774 \uac00\ub2a5\ud574\uc9c8 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uac1c\uc778 \ub9de\ucda4\ud615 \uac74\uac15 \uad00\ub9ac:<\/strong> \uc2a4\ub9c8\ud2b8\ud3f0\uc5d0 \ud0d1\uc7ac\ub41c \uc13c\uc11c \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uc5ec \uc0ac\uc6a9\uc790\uc758 \uac74\uac15 \uc0c1\ud0dc \ubcc0\ud654\ub97c \uc2e4\uc2dc\uac04\uc73c\ub85c \uac10\uc9c0\ud558\uace0, \uc774\uc0c1 \uc9d5\ud6c4\ub97c \ubbf8\ub9ac \uc54c\ub824\uc8fc\uac70\ub098 \ub9de\ucda4\ud615 \uc6b4\ub3d9 \ubc0f \uc2dd\ub2e8 \uc815\ubcf4\ub97c \uc81c\uacf5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ul>\n<h4>2. \uc0dd\uc0b0\uc131 \ubc0f \uc5c5\ubb34 \ud658\uacbd\uc758 \ubcc0\ud654<\/h4>\n<ul>\n<li>\n<p><strong>\uc2a4\ub9c8\ud2b8\ud55c \ubb38\uc11c \uc791\uc5c5:<\/strong> \ubcf4\uace0\uc11c \uc791\uc131 \uc2dc \uad00\ub828 \uc790\ub8cc\ub97c \uc790\ub3d9\uc73c\ub85c \uac80\uc0c9\ud558\uace0 \uc694\uc57d\ud574\uc8fc\uac70\ub098, \ud68c\uc758 \ub0b4\uc6a9\uc744 \uc2e4\uc2dc\uac04\uc73c\ub85c \ub179\uc74c\ud558\uace0 \ud575\uc2ec \ub0b4\uc6a9\uc744 \uc815\ub9ac\ud574\uc8fc\ub294 \uae30\ub2a5\uc774 \uac00\ub2a5\ud574\uc9d1\ub2c8\ub2e4. \uc774\uba54\uc77c \ucd08\uc548 \uc791\uc131, \ucf54\ub4dc \uc790\ub3d9 \uc644\uc131 \ub4f1 \ubcf5\uc7a1\ud558\uace0 \uc2dc\uac04\uc774 \ub9ce\uc774 \uc18c\uc694\ub418\ub294 \uc791\uc5c5\uc744 AI\uac00 \ub300\uc2e0\ud574\uc8fc\uc5b4 \uc5c5\ubb34 \ud6a8\uc728\uc131\uc744 \uadf9\ub300\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc624\ud504\ub77c\uc778 \ud658\uacbd\uc5d0\uc11c\uc758 AI \ud65c\uc6a9:<\/strong> \uc778\ud130\ub137 \uc5f0\uacb0\uc774 \ubd88\uc548\uc815\ud55c \ud604\uc7a5 \uc791\uc5c5\uc774\ub098 \ud574\uc678 \ucd9c\uc7a5 \uc911\uc5d0\ub3c4 AI \uae30\ubc18\uc758 \ubb38\uc11c \ubd84\uc11d, \ub370\uc774\ud130 \ucc98\ub9ac, \uc758\uc0ac\uacb0\uc815 \uc9c0\uc6d0 \ub4f1\uc758 \uae30\ub2a5\uc744 \uc81c\uc57d \uc5c6\uc774 \uc0ac\uc6a9\ud560 \uc218 \uc788\uac8c \ub429\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uac1c\uc778\ud654\ub41c \ud559\uc2b5 \uacbd\ud5d8:<\/strong> \uad50\uc721\uc6a9 \uc571\uc774\ub098 \ud50c\ub7ab\ud3fc\uc5d0\uc11c \ud559\uc0dd\uc758 \ud559\uc2b5 \uc218\uc900\uacfc \uc774\ud574\ub3c4\ub97c \uc2e4\uc2dc\uac04\uc73c\ub85c \ud30c\uc545\ud558\uc5ec \ub9de\ucda4\ud615 \ud559\uc2b5 \ucf58\ud150\uce20\ub97c \uc81c\uacf5\ud558\uace0, \uc5b4\ub824\uc6b4 \uac1c\ub150\uc744 \uc27d\uac8c \uc124\uba85\ud574\uc8fc\ub294 \ub4f1 \uac1c\uc778\uc5d0\uac8c \ucd5c\uc801\ud654\ub41c \ud559\uc2b5 \uacbd\ud5d8\uc744 \uc81c\uacf5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ul>\n<h4>3. \uc0c8\ub85c\uc6b4 \uc0ac\uc6a9\uc790 \uacbd\ud5d8 \ucc3d\ucd9c<\/h4>\n<ul>\n<li>\n<p><strong>\ubab0\uc785\uac10 \uc788\ub294 \uac8c\uc784:<\/strong> \uac8c\uc784 \uce90\ub9ad\ud130\uc758 \ud589\ub3d9\uc774\ub098 \ubc30\uacbd \ud658\uacbd\uc774 \ud50c\ub808\uc774\uc5b4\uc758 \ud50c\ub808\uc774 \uc2a4\ud0c0\uc77c\uc5d0 \ub9de\ucdb0 \uc2e4\uc2dc\uac04\uc73c\ub85c \ubcc0\ud654\ud558\uac70\ub098, \ub354\uc6b1 \ud604\uc2e4\uc801\uc778 NPC(Non-Player Character)\uc640\uc758 \uc0c1\ud638\uc791\uc6a9\uc774 \uac00\ub2a5\ud574\uc838 \uac8c\uc784\uc758 \ubab0\uc785\uac10\uc744 \ub192\uc77c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uac1c\uc778 \ub9de\ucda4\ud615 \uc5d4\ud130\ud14c\uc778\uba3c\ud2b8:<\/strong> \uc0ac\uc6a9\uc790\uc758 \uc2dc\uccad \uae30\ub85d, \uc120\ud638 \uc7a5\ub974 \ub4f1\uc744 \ubd84\uc11d\ud558\uc5ec \uae30\uae30 \uc790\uccb4\uc5d0\uc11c \ucd94\ucc9c \uc54c\uace0\ub9ac\uc998\uc744 \uad6c\ub3d9\ud568\uc73c\ub85c\uc368, \ub354\uc6b1 \ube60\ub974\uace0 \uc815\ud655\ud558\uac8c \uac1c\uc778\uc758 \ucde8\ud5a5\uc5d0 \ub9de\ub294 \uc601\ud654, \uc74c\uc545, \ucf58\ud150\uce20\ub97c \ucd94\ucc9c\ud574 \uc904 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc2a4\ub9c8\ud2b8 \ud648 \ubc0f IoT \uae30\uae30\uc640\uc758 \uc5f0\ub3d9 \uac15\ud654:<\/strong> \uc9d1 \uc548\uc758 \ub2e4\uc591\ud55c \uc2a4\ub9c8\ud2b8 \uae30\uae30\ub4e4\uc774 \uc0ac\uc6a9\uc790\uc758 \uc0dd\ud65c \ud328\ud134\uc744 \ud559\uc2b5\ud558\uace0, \uc678\ubd80 \uc778\ud130\ub137 \uc5f0\uacb0 \uc5c6\uc774\ub3c4 \uc11c\ub85c \uc720\uae30\uc801\uc73c\ub85c \uc791\ub3d9\ud558\uc5ec \ub354\uc6b1 \ud3b8\ub9ac\ud558\uace0 \uc790\ub3d9\ud654\ub41c \uc0dd\ud65c \ud658\uacbd\uc744 \uc81c\uacf5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc0ac\uc6a9\uc790\uac00 \uc9d1\uc5d0 \ub3c4\ucc29\ud558\uba74 \uc790\ub3d9\uc73c\ub85c \uc870\uba85\uc774 \ucf1c\uc9c0\uace0, \uc120\ud638\ud558\ub294 \uc628\ub3c4\ub85c \ub0c9\ub09c\ubc29\uc774 \uc870\uc808\ub418\uba70, \uc624\ub298\uc758 \uc77c\uc815\uc744 \uc54c\ub824\uc8fc\ub294 \uc2dd\uc785\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ul>\n<h4>4. \uac1c\uc778 \uc815\ubcf4 \ubcf4\ud638 \ubc0f \ubcf4\uc548 \uac15\ud654<\/h4>\n<p>\uc55e\uc11c \uc5b8\uae09\ud588\ub4ef\uc774, \uc628\ub514\ubc14\uc774\uc2a4 AI\uc758 \uac00\uc7a5 \ud070 \uc7a5\uc810 \uc911 \ud558\ub098\ub294 \uac1c\uc778 \uc815\ubcf4 \ubcf4\ud638\uc785\ub2c8\ub2e4. \uc0ac\uc6a9\uc790\uc758 \ub300\ud654 \ub0b4\uc6a9, \uc0ac\uc9c4, \uc704\uce58 \uc815\ubcf4 \ub4f1 \ubbfc\uac10\ud55c \ub370\uc774\ud130\uac00 \uae30\uae30 \uc678\ubd80\ub85c \uc804\uc1a1\ub418\uc9c0 \uc54a\uace0 \ub85c\uceec\uc5d0\uc11c \ucc98\ub9ac\ub418\ubbc0\ub85c, \ub370\uc774\ud130 \uc720\ucd9c\uc774\ub098 \ud574\ud0b9\uc758 \uc704\ud5d8\uc744 \ud06c\uac8c \uc904\uc77c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub294 \ud2b9\ud788 \ubbfc\uac10\ud55c \uac74\uac15 \uc815\ubcf4, \uae08\uc735 \uc815\ubcf4 \ub4f1\uc744 \ub2e4\ub8e8\ub294 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0\uc11c \ub9e4\uc6b0 \uc911\uc694\ud55c \uc774\uc810\uc774 \ub429\ub2c8\ub2e4.<\/p>\n<h3>\uc628\ub514\ubc14\uc774\uc2a4 \ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378\uc758 \ub3c4\uc804 \uacfc\uc81c<\/h3>\n<p>\uc628\ub514\ubc14\uc774\uc2a4 \ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378\uc740 \ubb34\uad81\ubb34\uc9c4\ud55c \uac00\ub2a5\uc131\uc744 \uac00\uc9c0\uace0 \uc788\uc9c0\ub9cc, \uc544\uc9c1 \ud574\uacb0\ud574\uc57c \ud560 \uacfc\uc81c\ub4e4\ub3c4 \uc874\uc7ac\ud569\ub2c8\ub2e4.<\/p>\n<h4>1. \uc131\ub2a5\uacfc \uc804\ub825 \uc18c\ube44\uc758 \uade0\ud615<\/h4>\n<p>AI \ubaa8\ub378\uc744 \uae30\uae30 \uc548\uc5d0\uc11c \uad6c\ub3d9\ud558\ub824\uba74 \uc0c1\ub2f9\ud55c \uc5f0\uc0b0 \ub2a5\ub825\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. \uc774\ub294 \uace7 \ubc30\ud130\ub9ac \uc18c\ubaa8 \uc99d\uac00\ub85c \uc774\uc5b4\uc9d1\ub2c8\ub2e4. \uc0ac\uc6a9\uc790 \uacbd\ud5d8\uc744 \uc800\ud574\ud558\uc9c0 \uc54a\uc73c\uba74\uc11c\ub3c4 \uac15\ub825\ud55c AI \uc131\ub2a5\uc744 \uc720\uc9c0\ud558\uae30 \uc704\ud55c \ud6a8\uc728\uc801\uc778 \uc804\ub825 \uad00\ub9ac \uae30\uc220 \uac1c\ubc1c\uc774 \uc911\uc694\ud569\ub2c8\ub2e4. \ubaa8\ub378 \uacbd\ub7c9\ud654, \ud558\ub4dc\uc6e8\uc5b4 \ucd5c\uc801\ud654, \uadf8\ub9ac\uace0 AI \uc5f0\uc0b0\uc5d0 \ud544\uc694\ud55c \uc804\ub825\uc744 \ucd5c\uc18c\ud654\ud558\ub294 \uc0c8\ub85c\uc6b4 \uc544\ud0a4\ud14d\ucc98 \uc5f0\uad6c\uac00 \ud65c\ubc1c\ud788 \uc9c4\ud589 \uc911\uc785\ub2c8\ub2e4.<\/p>\n<h4>2. \ubaa8\ub378 \uc5c5\ub370\uc774\ud2b8 \ubc0f \uc720\uc9c0\ubcf4\uc218<\/h4>\n<p>\ud074\ub77c\uc6b0\ub4dc \uae30\ubc18 \ubaa8\ub378\uc740 \uc5b8\uc81c\ub4e0\uc9c0 \ucd5c\uc2e0 \ubc84\uc804\uc73c\ub85c \uc5c5\ub370\uc774\ud2b8\uac00 \uac00\ub2a5\ud569\ub2c8\ub2e4. \ud558\uc9c0\ub9cc \uc628\ub514\ubc14\uc774\uc2a4 \ubaa8\ub378\uc740 \uae30\uae30\uc5d0 \uc9c1\uc811 \ud0d1\uc7ac\ub418\ubbc0\ub85c, \ubaa8\ub378 \uc5c5\ub370\uc774\ud2b8\ub97c \uc704\ud574\uc11c\ub294 \ubcc4\ub3c4\uc758 \ub2e4\uc6b4\ub85c\ub4dc \ubc0f \uc124\uce58 \uacfc\uc815\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. \uc774\ub294 \uc0ac\uc6a9\uc790\uc5d0\uac8c \ubc88\uac70\ub85c\uc6c0\uc744 \uc904 \uc218 \uc788\uc73c\uba70, \ucd5c\uc2e0 AI \uae30\uc220\uc744 \ube60\ub974\uac8c \uc801\uc6a9\ud558\uae30 \uc5b4\ub835\uac8c \ub9cc\ub4e4 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4. OTA(Over-The-Air) \uc5c5\ub370\uc774\ud2b8 \uae30\uc220\uc744 \ud65c\uc6a9\ud558\uac70\ub098, \ubaa8\ub378\uc758 \uc77c\ubd80\ub9cc \uc5c5\ub370\uc774\ud2b8\ud558\ub294 \ubc29\uc2dd \ub4f1\uc774 \uace0\ub824\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h4>3. \uae30\uae30 \uac04 \uc131\ub2a5 \uaca9\ucc28<\/h4>\n<p>\ubaa8\ub4e0 \uae30\uae30\uac00 \ub3d9\uc77c\ud55c \uc218\uc900\uc758 AI \uc131\ub2a5\uc744 \uc81c\uacf5\ud558\uc9c0\ub294 \ubabb\ud560 \uac83\uc785\ub2c8\ub2e4. \uace0\uc131\ub2a5 NPU\uac00 \ud0d1\uc7ac\ub41c \ucd5c\uc2e0 \uc2a4\ub9c8\ud2b8\ud3f0\uacfc \uad6c\ud615 \uc2a4\ub9c8\ud2b8\ud3f0, \ub610\ub294 \uc800\uac00\ud615 \uae30\uae30 \uac04\uc5d0\ub294 AI \uae30\ub2a5\uc758 \uc2e4\ud589 \uc18d\ub3c4\ub098 \uc131\ub2a5\uc5d0 \ucc28\uc774\uac00 \ubc1c\uc0dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub294 \uc0ac\uc6a9\uc790 \uacbd\ud5d8\uc758 \ubd88\uade0\ud615\uc744 \ucd08\ub798\ud560 \uc218 \uc788\uc73c\uba70, \uac1c\ubc1c\uc790 \uc785\uc7a5\uc5d0\uc11c\ub294 \ub2e4\uc591\ud55c \uae30\uae30 \uc0ac\uc591\uc744 \uace0\ub824\ud55c \ucd5c\uc801\ud654 \uc791\uc5c5\uc774 \ud544\uc694\ud569\ub2c8\ub2e4.<\/p>\n<h4>4. \ubcf4\uc548 \ucde8\uc57d\uc810<\/h4>\n<p>\uae30\uae30 \ub0b4\ubd80\uc5d0 AI \ubaa8\ub378\uc774 \ud0d1\uc7ac\ub41c\ub2e4\uace0 \ud574\uc11c \ubcf4\uc548\uc774 \uc644\ubcbd\ud788 \ubcf4\uc7a5\ub418\ub294 \uac83\uc740 \uc544\ub2d9\ub2c8\ub2e4. \uc624\ud788\ub824 \ub85c\uceec \ud658\uacbd\uc758 \ucde8\uc57d\uc810\uc744 \uc774\uc6a9\ud55c \uc0c8\ub85c\uc6b4 \ud615\ud0dc\uc758 \uacf5\uaca9\uc774 \ubc1c\uc0dd\ud560 \uac00\ub2a5\uc131\ub3c4 \uc788\uc2b5\ub2c8\ub2e4. \ubaa8\ub378 \uc790\uccb4\uc758 \ubcf4\uc548 \uac15\ud654, \ub370\uc774\ud130 \uc554\ud638\ud654, \uadf8\ub9ac\uace0 \uae30\uae30 \uc6b4\uc601\uccb4\uc81c\uc640\uc758 \uc548\uc804\ud55c \uc5f0\ub3d9 \uae30\uc220 \uac1c\ubc1c\uc774 \ud544\uc218\uc801\uc785\ub2c8\ub2e4.<\/p>\n<h4>5. \uac1c\ubc1c \ubcf5\uc7a1\uc131 \uc99d\uac00<\/h4>\n<p>\uc628\ub514\ubc14\uc774\uc2a4 AI \ubaa8\ub378\uc744 \uac1c\ubc1c\ud558\uace0 \ucd5c\uc801\ud654\ud558\ub294 \uac83\uc740 \ud074\ub77c\uc6b0\ub4dc \uae30\ubc18 \ubaa8\ub378 \uac1c\ubc1c\ubcf4\ub2e4 \ub354 \ubcf5\uc7a1\ud558\uace0 \uae4c\ub2e4\ub85c\uc6b8 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uac1c\ubc1c\uc790\ub294 \ud558\ub4dc\uc6e8\uc5b4\uc758 \uc81c\uc57d\uc744 \uc774\ud574\ud558\uace0, \ubaa8\ub378\uc758 \uacbd\ub7c9\ud654\uc640 \uc131\ub2a5 \ucd5c\uc801\ud654\ub97c \ub3d9\uc2dc\uc5d0 \uace0\ub824\ud574\uc57c \ud569\ub2c8\ub2e4. \uc774\ub97c \uc9c0\uc6d0\ud558\ub294 \uac1c\ubc1c \ub3c4\uad6c \ubc0f \ud504\ub808\uc784\uc6cc\ud06c\uc758 \ubc1c\uc804\uc774 \ud544\uc694\ud569\ub2c8\ub2e4.<\/p>\n<h3>\ubbf8\ub798 \uc804\ub9dd: \uc628\ub514\ubc14\uc774\uc2a4 AI\uc758 \ubb34\ud55c\ud55c \uac00\ub2a5\uc131<\/h3>\n<p>\uc774\ub7ec\ud55c \ub3c4\uc804 \uacfc\uc81c\ub4e4\uc5d0\ub3c4 \ubd88\uad6c\ud558\uace0, \uc628\ub514\ubc14\uc774\uc2a4 \ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378\uc758 \ubbf8\ub798\ub294 \ub9e4\uc6b0 \ubc1d\uc2b5\ub2c8\ub2e4. \uc8fc\uc694 \uae30\uc220 \uae30\uc5c5\ub4e4\uc740 \uc774\ubbf8 \uc774 \ubd84\uc57c\uc5d0 \ub9c9\ub300\ud55c \ud22c\uc790\ub97c \ud558\uace0 \uc788\uc73c\uba70, \uacbd\uc7c1\uc801\uc73c\ub85c \uc0c8\ub85c\uc6b4 \uae30\uc220\uacfc \uc81c\ud488\uc744 \uc120\ubcf4\uc774\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<ul>\n<li>\n<p><strong>\uc560\ud50c(Apple):<\/strong> \uc790\uccb4 \uac1c\ubc1c\ud55c M \uc2dc\ub9ac\uc988 \uce69\uacfc Neural Engine\uc744 \ud1b5\ud574 \uc628\ub514\ubc14\uc774\uc2a4 AI \uc131\ub2a5\uc744 \uac15\ud654\ud558\uace0 \uc788\uc73c\uba70, iOS \ubc0f macOS\uc5d0 AI \uae30\ub2a5\uc744 \uc801\uadf9\uc801\uc73c\ub85c \ud1b5\ud569\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uad6c\uae00(Google):<\/strong> Tensor Processing Unit (TPU)\ub97c \ud65c\uc6a9\ud558\uc5ec \uc628\ub514\ubc14\uc774\uc2a4 AI \ubaa8\ub378\uc744 \uac1c\ubc1c\ud558\uace0 \uc788\uc73c\uba70, \uc548\ub4dc\ub85c\uc774\ub4dc \uc6b4\uc601\uccb4\uc81c\uc640 \ud53d\uc140 \uc2a4\ub9c8\ud2b8\ud3f0\uc5d0 AI \uae30\ub2a5\uc744 \uc9c0\uc18d\uc801\uc73c\ub85c \ud0d1\uc7ac\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ud004\ucef4(Qualcomm):<\/strong> \ubaa8\ubc14\uc77c AP \uc2dc\uc7a5\uc758 \uac15\uc790\ub85c\uc11c, \uc2a4\ub0c5\ub4dc\ub798\uace4(Snapdragon) \uce69\uc14b\uc5d0 \uac15\ub825\ud55c AI \uc5d4\uc9c4\uc744 \ud0d1\uc7ac\ud558\uc5ec \uc2a4\ub9c8\ud2b8\ud3f0 \uc81c\uc870\uc0ac\ub4e4\uc5d0\uac8c \uc628\ub514\ubc14\uc774\uc2a4 AI \uc194\ub8e8\uc158\uc744 \uc81c\uacf5\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc0bc\uc131\uc804\uc790(Samsung Electronics):<\/strong> \uac24\ub7ed\uc2dc \uc2a4\ub9c8\ud2b8\ud3f0\uc5d0 \uc790\uccb4 AI \uce69\uacfc \ucd5c\uc801\ud654\ub41c \uc18c\ud504\ud2b8\uc6e8\uc5b4\ub97c \ud0d1\uc7ac\ud558\uba70 \uc628\ub514\ubc14\uc774\uc2a4 AI \uacbd\uc7c1\uc5d0 \uc801\uadf9\uc801\uc73c\ub85c \ucc38\uc5ec\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ul>\n<p>\uc774 \uc678\uc5d0\ub3c4 \uc218\ub9ce\uc740 \uc2a4\ud0c0\ud2b8\uc5c5\ub4e4\uc774 \uc628\ub514\ubc14\uc774\uc2a4 AI \uae30\uc220\uc744 \uae30\ubc18\uc73c\ub85c \ud601\uc2e0\uc801\uc778 \uc194\ub8e8\uc158\uc744 \uac1c\ubc1c\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\uc55e\uc73c\ub85c\ub294 \uc2a4\ub9c8\ud2b8\ud3f0\ubfd0\ub9cc \uc544\ub2c8\ub77c \uc790\ub3d9\ucc28, \uc6e8\uc5b4\ub7ec\ube14 \uae30\uae30, \uc2a4\ub9c8\ud2b8 \uac00\uc804, \uc0b0\uc5c5\uc6a9 \ub85c\ubd07 \ub4f1 \uac70\uc758 \ubaa8\ub4e0 \ucef4\ud4e8\ud305 \uc7a5\uce58\uc5d0 \uc628\ub514\ubc14\uc774\uc2a4 AI\uac00 \ud0d1\uc7ac\ub420 \uac83\uc73c\ub85c \uc608\uc0c1\ub429\ub2c8\ub2e4. \uc6b0\ub9ac\ub294 \ub354\uc6b1 \uac1c\uc778\ud654\ub418\uace0, \uc548\uc804\ud558\uba70, \ud6a8\uc728\uc801\uc778 AI \uc11c\ube44\uc2a4\ub97c \uc77c\uc0c1\uc0dd\ud65c\uc5d0\uc11c \uc790\uc5f0\uc2a4\ub7fd\uac8c \uacbd\ud5d8\ud558\uac8c \ub420 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<h3>\uacb0\ub860: AI\uc758 \uc0c8\ub85c\uc6b4 \uc9c0\ud3c9\uc744 \uc5f4\ub2e4<\/h3>\n<p>\uc628\ub514\ubc14\uc774\uc2a4 \ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378\uc758 \ud655\uc0b0\uc740 AI \uae30\uc220\uc774 \uc6b0\ub9ac \uc0b6\uc5d0 \ub354\uc6b1 \uae4a\uc219\uc774, \uadf8\ub9ac\uace0 \ub354 \uac1c\uc778\uc801\uc73c\ub85c \ub2e4\uac00\uc624\ub294 \uc911\uc694\ud55c \uc804\ud658\uc810\uc785\ub2c8\ub2e4. \uc774\uc81c AI\ub294 \ub2e8\uc21c\ud788 \uc815\ubcf4\ub97c \uc81c\uacf5\ud558\uac70\ub098 \uba85\ub839\uc744 \uc218\ud589\ud558\ub294 \ub3c4\uad6c\ub97c \ub118\uc5b4, \uc6b0\ub9ac\uc758 \uae30\uae30 \uc548\uc5d0\uc11c \uc6b0\ub9ac\uc640 \ud568\uaed8 \uc228 \uc26c\uba70 \uc6b0\ub9ac\ub97c \ub354\uc6b1 \uc2a4\ub9c8\ud2b8\ud558\uace0 \ud3b8\ub9ac\ud558\uac8c \ub9cc\ub4e4\uc5b4\uc8fc\ub294 \ub3d9\ubc18\uc790\uac00 \ub420 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<p>\uac1c\uc778\uc815\ubcf4 \ubcf4\ud638, \uc751\ub2f5 \uc18d\ub3c4, \uc624\ud504\ub77c\uc778 \uc0ac\uc6a9\uc131 \ub4f1 \uae30\uc874 AI\uc758 \ud55c\uacc4\ub97c \uadf9\ubcf5\ud558\uace0, \ub354\uc6b1 \uac15\ub825\ud558\uace0 \uac1c\uc778\ud654\ub41c AI \uacbd\ud5d8\uc744 \uc81c\uacf5\ud560 \uc628\ub514\ubc14\uc774\uc2a4 \ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378\uc758 \ub4f1\uc7a5\uc740 \uc55e\uc73c\ub85c AI \uae30\uc220 \ubc1c\uc804\uc758 \uc0c8\ub85c\uc6b4 \uc9c0\ud3c9\uc744 \uc5f4 \uac83\uc73c\ub85c \uae30\ub300\ub429\ub2c8\ub2e4.<\/p>\n<p><strong>\uc9c0\uae08 \ub2f9\uc7a5 \uc5ec\ub7ec\ubd84\uc774 \ud560 \uc218 \uc788\ub294 \uc77c:<\/strong><\/p>\n<ol>\n<li>\n<p><strong>\ucd5c\uc2e0 \uc2a4\ub9c8\ud2b8\ud3f0\uc758 AI \uae30\ub2a5 \ud0d0\uc0c9:<\/strong> \uc0ac\uc6a9 \uc911\uc778 \uc2a4\ub9c8\ud2b8\ud3f0\uc5d0 \ud0d1\uc7ac\ub41c AI \uae30\ub2a5(\uc608: \uc2e4\uc2dc\uac04 \ubc88\uc5ed, \uc0ac\uc9c4 \ud3b8\uc9d1, \uc74c\uc131 \ube44\uc11c \ub4f1)\uc744 \uc801\uadf9\uc801\uc73c\ub85c \ud65c\uc6a9\ud574\ubcf4\uc138\uc694. \uc628\ub514\ubc14\uc774\uc2a4 AI\uc758 \uac00\ub2a5\uc131\uc744 \uc9c1\uc811 \uccb4\ud5d8\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>AI \uad00\ub828 \ub274\uc2a4 \ubc0f \uae30\uc220 \ub3d9\ud5a5 \ud30c\uc545:<\/strong> \uc628\ub514\ubc14\uc774\uc2a4 AI \ubd84\uc57c\uc758 \ucd5c\uc2e0 \ub274\uc2a4\uc640 \uae30\uc220 \ub3d9\ud5a5\uc744 \uafb8\uc900\ud788 \uc0b4\ud3b4\ubcf4\uba70 \ubcc0\ud654\ud558\ub294 \uae30\uc220 \ud2b8\ub80c\ub4dc\ub97c \uc774\ud574\ud558\ub294 \uac83\uc774 \uc88b\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uac1c\uc778\uc815\ubcf4 \ubcf4\ud638\uc758 \uc911\uc694\uc131 \uc778\uc2dd:<\/strong> \uc628\ub514\ubc14\uc774\uc2a4 AI\uac00 \uac00\uc838\uc62c \uac1c\uc778\uc815\ubcf4 \ubcf4\ud638 \uac15\ud654\uc758 \uc774\uc810\uc744 \uc778\uc9c0\ud558\uace0, \uc790\uc2e0\uc758 \ub370\uc774\ud130\ub97c \uc5b4\ub5bb\uac8c \uad00\ub9ac\ud574\uc57c \ud560\uc9c0 \uace0\ubbfc\ud574\ubcf4\uc138\uc694.<\/p>\n<\/li>\n<\/ol>\n<p>AI\ub294 \ub354 \uc774\uc0c1 \uba3c \ubbf8\ub798\uc758 \uae30\uc220\uc774 \uc544\ub2d9\ub2c8\ub2e4. \ubc14\ub85c \uc9c0\uae08, \uc6b0\ub9ac\uc758 \uae30\uae30 \uc548\uc5d0\uc11c \ud604\uc2e4\uc774 \ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \ub180\ub77c\uc6b4 \ubcc0\ud654\uc758 \ud750\ub984 \uc18d\uc5d0\uc11c \uc628\ub514\ubc14\uc774\uc2a4 AI\uac00 \uc6b0\ub9ac \uc0b6\uc744 \uc5b4\ub5bb\uac8c \ub354\uc6b1 \ud48d\uc694\ub86d\uac8c \ub9cc\ub4e4\uc9c0 \uae30\ub300\ud574 \ubcf4\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n<div class=\"content-links-section\">\n<p><strong>INTERNAL_LINKS:<\/strong> (\uc720\uc0ac\ud55c \uac8c\uc2dc\uae00 \uc785\ub825)<\/p>\n<p><strong>EXTERNAL_LINKS:<\/strong> <a href=\"https:\/\/www.example.com\/on-device-ai-explained\" target=\"_blank\" rel=\"noopener noreferrer\">\uc628\ub514\ubc14\uc774\uc2a4 AI\ub780 \ubb34\uc5c7\uc778\uac00?<\/a>, <a href=\"https:\/\/www.example.com\/future-of-foundation-models\" target=\"_blank\" rel=\"noopener noreferrer\">\ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378\uc758 \ubbf8\ub798<\/a>, <a href=\"https:\/\/www.example.com\/ai-trends-2024\" target=\"_blank\" rel=\"noopener noreferrer\">AI \uae30\uc220\uc758 \ucd5c\uc2e0 \ub3d9\ud5a5<\/a><\/p>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">AI Moves Into Apps: The Era of On-Device Foundation Models Begins<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Beyond the Cloud and Into the Device: The Rise of On-Device Foundation Models<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Until just a few years ago, it was taken for granted that artificial intelligence (AI) depended on massive servers\u2014in other words, the cloud\u2014for complex computation. A photo taken on a smartphone would be sent to a cloud server, where AI would recognize faces, and when a user asked a voice assistant a question, the answer would be found in the cloud and read back. But now AI is moving directly into individual devices such as smartphones and laptops. This shift is being made possible by <strong>on-device foundation models<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This change means more than a technical upgrade. It has the potential to fundamentally reshape daily life, the way people work, and the way humans interact with AI. This article explains, in simple and practical terms, what on-device foundation models are, why they matter, and how they may change life in the future.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What Makes On-Device Foundation Models Different?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A <strong>foundation model<\/strong> is an AI model pretrained on massive datasets and adaptable to many downstream tasks. GPT-3 and BERT are well-known examples. Because these models possess broad knowledge and strong language understanding, they can perform well across many areas, including translation, summarization, writing, and coding.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Many foundation models have traditionally operated in the cloud. A user\u2019s request would be sent to a cloud server, processed there, and then returned to the user. This provided strong performance, but it also came with several drawbacks.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Privacy concerns:<\/strong> Sensitive information had to be sent to external servers, creating risks of leakage or misuse.<\/li>\n\n\n\n<li><strong>Response latency:<\/strong> Data transmission and processing took time, which was inconvenient when real-time responses were needed.<\/li>\n\n\n\n<li><strong>Dependence on internet connectivity:<\/strong> AI features were difficult to use in places where internet access was unstable or unavailable.<\/li>\n\n\n\n<li><strong>Cost issues:<\/strong> Running cloud servers and transmitting data incurred substantial expenses.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">On-device foundation models address these limitations. As the name suggests, the AI model is embedded directly into the user\u2019s device\u2014such as a smartphone, tablet, laptop, or car. Because all computation happens on the device itself without requiring a separate server connection, many of the disadvantages of cloud-based models can be overcome.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Why Are On-Device Foundation Models Gaining Attention Now?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">On-device AI did not appear overnight. For years, technologies that enabled smartphones to perform tasks such as image recognition and voice command processing directly on the device have continued to improve. But recently, efforts to run large-scale <strong>foundation models<\/strong> efficiently on-device have accelerated, and that is why on-device foundation models are now drawing so much attention.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Several major factors are driving this shift.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Rapid Advances in Hardware Performance<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The performance of CPUs and GPUs in personal devices such as smartphones and laptops has improved dramatically. In addition, devices now increasingly include NPUs (Neural Processing Units) designed specifically for AI workloads, creating the physical foundation needed to run complex AI models directly on-device.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Progress in Model Compression and Optimization<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">It is still difficult to deploy a massive foundation model on a device in its original form. However, model compression and optimization techniques such as <strong>quantization<\/strong> and <strong>pruning<\/strong> have advanced significantly. These methods reduce model size while minimizing performance loss, making it possible to run AI models at a practically useful level on consumer devices.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Growing Concern About Privacy and Security<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">As data breaches become more common, privacy has become a much more important issue. The fact that sensitive user information can be processed within the device without leaving it is highly attractive to users.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Rising Demand for AI in Real-Time and Offline Environments<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">In areas such as autonomous driving, smart factories, and medical devices, real-time responsiveness is essential, and internet connectivity may be unstable or unavailable. On-device AI may be the only viable solution in such cases.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Greater Accessibility to AI<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">With on-device models, people can benefit from AI without extra cloud-service fees or complicated external setup. If someone has the device, they can access AI capabilities. This could greatly expand AI accessibility and help drive wider adoption.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How Will On-Device Foundation Models Change Our Lives?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The spread of on-device foundation models is expected to bring changes across many areas of everyday life. A few examples help illustrate the possibilities.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. A Revolution in the Smartphone Experience<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Personalized AI Assistants<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Current voice assistants are often cloud-based, but on-device AI assistants can understand a user\u2019s speaking style, habits, and preferences much more deeply and provide responses and services better tailored to that individual. For example, an assistant could analyze the user\u2019s schedule to recommend the best travel route or automatically prepare a playlist suited to the user\u2019s tastes.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Real-Time Language Translation and Interpretation<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Functions that translate spoken conversation or instantly translate documents without internet access are likely to become much more powerful. Language barriers during travel or communication with foreign speakers may become almost negligible.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Enhanced Camera and Photo Editing Features<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Beyond simply recognizing faces, AI will be able to analyze a photo\u2019s composition, lighting, and color tone and apply professional-level edits automatically. It may also infer the user\u2019s intent and adjust an image in the desired style. Video editing could likewise become more creative and sophisticated.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Personalized Health Management<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">By analyzing sensor data collected by smartphones, on-device AI could detect changes in a user\u2019s condition in real time, provide early warnings, and deliver tailored exercise or nutrition guidance.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2. Changes in Productivity and Work Environments<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Smarter Document Work<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">When writing reports, AI could automatically search for relevant sources, summarize them, record meetings in real time, and organize the key points. Tasks such as drafting emails and autocompleting code could also be handled by AI, significantly improving work efficiency.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">AI Use in Offline Environments<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">In field operations or overseas trips where internet connectivity is unstable, users would still be able to use AI for document analysis, data processing, and decision support without restriction.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Personalized Learning Experiences<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Educational apps and platforms could track each student\u2019s learning level and comprehension in real time, then provide customized learning materials and explain difficult concepts in easier ways.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">3. Creation of New User Experiences<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">More Immersive Gaming<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Game characters and environments could adapt in real time to the player\u2019s style of play, while interactions with NPCs (Non-Player Characters) become more realistic and engaging.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Personalized Entertainment<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">By analyzing viewing history and genre preferences directly on the device, AI recommendation systems could deliver faster and more accurate suggestions for movies, music, and other content.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Stronger Integration with Smart Homes and IoT Devices<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Smart devices throughout the home could learn a user\u2019s habits and work together organically even without an external internet connection, creating a more convenient and automated living environment. For instance, when the user arrives home, the lights could turn on automatically, the temperature could be adjusted to the user\u2019s preference, and the day\u2019s schedule could be announced.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">4. Stronger Privacy and Security<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">As noted earlier, one of the biggest advantages of on-device AI is privacy protection. Sensitive user data\u2014such as conversations, photos, and location information\u2014can be processed locally without being sent outside the device, significantly reducing the risk of leaks or hacking. This is especially important in applications involving health records, financial data, and other sensitive information.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Challenges Facing On-Device Foundation Models<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Despite their enormous potential, on-device foundation models still face several important challenges.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. Balancing Performance and Power Consumption<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Running AI models on-device requires considerable computing power, which often leads to higher battery usage. Efficient power management is essential to maintain strong AI performance without harming user experience. Research is actively underway in model compression, hardware optimization, and new architectures designed to reduce power consumption.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2. Model Updates and Maintenance<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Cloud-based models can be updated to the latest version at any time. On-device models, however, are installed directly on the device, so updates may require separate download and installation steps. This can create inconvenience for users and may slow the adoption of the newest AI improvements. Possible approaches include OTA (Over-The-Air) updates or partial model updates.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">3. Performance Gaps Across Devices<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Not all devices will provide the same AI performance. A new flagship smartphone with a powerful NPU will likely run AI functions much better than an older or lower-cost device. This can create an uneven user experience and requires developers to optimize across many hardware profiles.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">4. Security Vulnerabilities<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Placing AI models inside devices does not guarantee perfect security. In fact, new kinds of attacks may emerge that exploit weaknesses in local environments. Strengthening model security, encrypting data, and ensuring safe integration with device operating systems will be essential.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">5. Greater Development Complexity<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Developing and optimizing on-device AI is often more difficult than building cloud-based AI. Developers must understand hardware constraints and simultaneously balance model compression with performance optimization. Better development tools and frameworks will be needed to support this work.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Future Outlook: The Vast Potential of On-Device AI<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Despite these challenges, the future of on-device foundation models looks very promising. Major technology companies are already investing heavily in this area and competing to release new technologies and products.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Apple<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Apple is strengthening on-device AI performance through its self-designed M-series chips and Neural Engine, while actively integrating AI features into iOS and macOS.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Google<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Google is developing on-device AI models using Tensor Processing Units (TPUs) and continues to embed AI capabilities into Android and Pixel smartphones.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Qualcomm<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">As a leading player in the mobile application processor market, Qualcomm is equipping its Snapdragon chipsets with powerful AI engines and providing on-device AI solutions to smartphone manufacturers.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Samsung Electronics<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Samsung is actively participating in the on-device AI race by integrating its own AI chips and optimized software into Galaxy smartphones.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Beyond these large companies, many startups are also developing innovative solutions built on on-device AI technologies.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In the future, on-device AI is expected to be integrated not only into smartphones, but also into cars, wearables, smart appliances, and industrial robots\u2014in other words, into nearly every computing device. People will naturally experience AI services that are more personalized, secure, and efficient in everyday life.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion: Opening a New Horizon for AI<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The spread of on-device foundation models marks an important turning point in the way AI becomes more deeply and personally woven into daily life. AI will no longer be just a tool that provides information or carries out commands. Instead, it will become a companion that lives within personal devices, works alongside the user, and makes everyday life smarter and more convenient.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">By overcoming long-standing limitations of traditional AI\u2014such as privacy concerns, latency, and offline inaccessibility\u2014on-device foundation models are expected to open a new horizon in AI development and deliver more powerful, personalized experiences.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What Can Be Done Right Now<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Explore the AI features on the latest smartphones:<\/strong> Actively try built-in features such as real-time translation, photo editing, and voice assistants. This is one of the best ways to experience the potential of on-device AI firsthand.<\/li>\n\n\n\n<li><strong>Follow AI news and technology trends:<\/strong> Keeping up with developments in on-device AI will help in understanding how quickly the field is changing.<\/li>\n\n\n\n<li><strong>Recognize the importance of privacy:<\/strong> Consider the privacy advantages that on-device AI offers and think more carefully about how personal data should be managed.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">AI is no longer a distant future technology. It is becoming reality right now, inside the devices people already use every day. It will be worth watching how on-device AI makes life richer in the years ahead.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI\uac00 \ub354 \uc774\uc0c1 \ud074\ub77c\uc6b0\ub4dc\ub97c \uac70\uce58\uc9c0 \uc54a\uace0 \uae30\uae30 \uc790\uccb4\uc5d0\uc11c \uc791\ub3d9\ud558\ub294 \uc2dc\ub300\uac00 \uc5f4\ub838\uc2b5\ub2c8\ub2e4. \uc628\ub514\ubc14\uc774\uc2a4 \ud30c\uc6b4\ub370\uc774\uc158 \ubaa8\ub378\uc758 \ud655\uc0b0\uc774 \uac00\uc838\uc62c \ubcc0\ud654\uc640 \uadf8 \uc758\ubbf8\ub97c \uc27d\uace0 \uba85\ud655\ud558\uac8c \uc124\uba85\ud574 \ub4dc\ub9bd\ub2c8\ub2e4.<\/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":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[4],"tags":[127,69,41,46,78,73,79,74,128,71,70,50,47,43,45,37,116,22,115],"class_list":["post-58","post","type-post","status-publish","format-standard","hentry","category-ai","tag-ai-development","tag-ai-technology","tag-ai-","tag-artificial-intelligence","tag-edge-ai","tag-local-ai","tag-on-device-ai","tag-on-device-foundation-model","tag-privacy-protection","tag-smartphone-ai","tag-50","tag--ai","tag-116","tag-22","tag-115"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/ai-cloud.kr\/index.php?rest_route=\/wp\/v2\/posts\/58","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ai-cloud.kr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ai-cloud.kr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ai-cloud.kr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ai-cloud.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=58"}],"version-history":[{"count":2,"href":"https:\/\/ai-cloud.kr\/index.php?rest_route=\/wp\/v2\/posts\/58\/revisions"}],"predecessor-version":[{"id":82,"href":"https:\/\/ai-cloud.kr\/index.php?rest_route=\/wp\/v2\/posts\/58\/revisions\/82"}],"wp:attachment":[{"href":"https:\/\/ai-cloud.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=58"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ai-cloud.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=58"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ai-cloud.kr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=58"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}