{"id":28947,"date":"2019-06-08T12:30:31","date_gmt":"2019-06-08T05:30:31","guid":{"rendered":"https:\/\/testweb.gymadom.com\/hoi-thao-chuyen-de-ai-from-research-to-application\/"},"modified":"2023-01-16T11:18:10","modified_gmt":"2023-01-16T04:18:10","slug":"hoi-thao-chuyen-de-ai-from-research-to-application","status":"publish","type":"post","link":"https:\/\/gymadom.com\/hoi-thao-chuyen-de-ai-from-research-to-application\/","title":{"rendered":"H\u1ed9i th\u1ea3o chuy\u00ean \u0111\u1ec1: \u201cAI – From research to application\u201d"},"content":{"rendered":"
V\u00e0o ng\u00e0y 8\/6\/2019, t\u1ea1i Tr\u01b0\u1eddng \u0110\u1ea1i h\u1ecdc Khoa h\u1ecdc T\u1ef1 nhi\u00ean, \u0110HQG-HCM \u0111\u00e3 di\u1ec5n ra H\u1ed9i th\u1ea3o chuy\u00ean \u0111\u1ec1: \u201cAI – From research to application\u201d. H\u1ed9i th\u1ea3o nh\u1eb1m m\u1ee5c \u0111\u00edch gi\u1edbi thi\u1ec7u to\u00e0n c\u1ea3nh v\u1ec1 Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o t\u1eeb nghi\u00ean c\u1ee9u \u0111\u1ebfn \u1ee9ng d\u1ee5ng.<\/span><\/span><\/p>\n \u0110\u00e2y l\u00e0 ho\u1ea1t \u0111\u1ed9ng h\u1ecdc thu\u1eadt c\u00f3 s\u1ef1 ph\u1ed1i h\u1ee3p gi\u1eefa Vi\u1ec7n Nghi\u00ean c\u1ee9u Tr\u00ed tu\u1ec7 Nh\u00e2n t\u1ea1o VinAI Research, C\u00f4ng ty C\u1ed5 ph\u1ea7n Gi\u1ea3i ph\u00e1p v\u00e0 D\u1ecbch v\u1ee5 C\u00f4ng ngh\u1ec7 Vantix v\u00e0 Tr\u01b0\u1eddng \u0110\u1ea1i h\u1ecdc Khoa h\u1ecdc T\u1ef1 nhi\u00ean, \u0110HQG-HCM.<\/span><\/p>\n <\/span><\/p>\n PGS.TS V\u0169 H\u1ea3i Qu\u00e2n – Ph\u00f3 Gi\u00e1m \u0111\u1ed1c \u0110HQG-HCM tr\u00ecnh b\u00e0y b\u00e1o c<\/span>\u00e1o “<\/span>20 years of Vietnamese spoken language processing: Research and achievements”<\/span><\/em><\/span><\/p>\n H\u1ed9i th\u1ea3o c\u00f3 s\u1ef1 hi\u1ec7n di\u1ec7n c\u1ee7a \u00d4ng L\u00ea Qu\u1ed1c C\u01b0\u1eddng – Ph\u00f3 Gi\u00e1m \u0111\u1ed1c S\u1edf Th\u00f4ng tin – Truy\u1ec1n th\u00f4ng TP.HCM, \u00d4ng Nguy\u1ec5n Quang Huy – T\u1ed5ng Gi\u00e1m \u0111\u1ed1c C\u00f4ng ty Vantix – Vingroup, PGS.TS V\u0169 H\u1ea3i Qu\u00e2n – Ph\u00f3 Gi\u00e1m \u0111\u1ed1c \u0110HQG – HCM, PGS.TS Tr\u1ea7n Minh Tri\u1ebft – Ph\u00f3 Hi\u1ec7u tr\u01b0\u1edfng Tr\u01b0\u1eddng \u0110\u1ea1i h\u1ecdc Khoa h\u1ecdc T\u1ef1 nhi\u00ean, \u0110HQG-HCM c\u00f9ng nhi\u1ec1u di\u1ec5n gi\u1ea3 l\u00e0 c\u00e1c Gi\u00e1o s\u01b0, Ti\u1ebfn s\u0129, c\u00e1c chuy\u00ean gia h\u00e0ng \u0111\u1ea7u v\u1ec1 l\u0129nh v\u1ef1c Tr\u00ed tu\u1ec7 Nh\u00e2n t\u1ea1o tr\u00ean to\u00e0n th\u1ebf gi\u1edbi.<\/span><\/p>\n <\/span><\/p>\n PGS.TS Tr\u1ea7n Minh Tri\u1ebft – Ph\u00f3 Hi\u1ec7u tr\u01b0\u1edfng Tr\u01b0\u1eddng \u0110H Khoa h\u1ecdc T\u1ef1 nhi\u00ean tr\u00ecnh b\u00e0y b\u00e1o c\u00e1o <\/span>“<\/span>Vision-based technologies for human-centered AI applications”<\/span><\/em><\/span><\/p>\n Tr\u00ed tu\u1ec7 Nh\u00e2n t\u1ea1o (AI) \u0111\u01b0\u1ee3c nh\u1eadn \u0111\u1ecbnh s\u1ebd hi\u1ec7n di\u1ec7n v\u00e0 ph\u1ee7 kh\u1eafp m\u1ecdi l\u0129nh v\u1ef1c, kh\u00f4ng ch\u1ec9 trong \u0111\u1eddi s\u1ed1ng x\u00e3 h\u1ed9i m\u00e0 c\u00f2n trong n\u1ec1n kinh t\u1ebf. Theo d\u1ef1 b\u00e1o, v\u00e0o n\u0103m 2030, AI s\u1ebd \u0111\u00f3ng g\u00f3p th\u00eam 15,7 ngh\u00ecn t\u1ef7 USD cho n\u1ec1n kinh t\u1ebf to\u00e0n c\u1ea7u. Trong n\u0103m 2019, 40% c\u00e1c s\u00e1ng ki\u1ebfn chuy\u1ec3n \u0111\u1ed5i k\u1ef9 thu\u1eadt s\u1ed1 s\u1ebd s\u1eed d\u1ee5ng c\u00f4ng ngh\u1ec7 AI. \u1ee8ng d\u1ee5ng c\u1ee7a AI kh\u00f4ng ch\u1ec9 d\u1eebng l\u1ea1i trong ph\u1ea1m vi nghi\u00ean c\u1ee9u m\u00e0 \u0111ang d\u1ea7n tr\u1edf n\u00ean r\u00f5 n\u00e9t v\u00e0 ng\u00e0y c\u00e0ng c\u00f3 vai tr\u00f2 quan tr\u1ecdng. T\u1ea1i Vi\u1ec7t Nam, c\u00e1c doanh nghi\u1ec7p \u0111i \u0111\u1ea7u v\u1ec1 c\u00f4ng ngh\u1ec7 \u0111\u00e3 v\u00e0 \u0111ang tham gia m\u1ea1nh m\u1ebd v\u00e0o \u201ccu\u1ed9c tr\u1edf m\u00ecnh\u201d n\u00e0y. Hi\u1ec7n t\u1ea1i, AI \u0111\u00e3 \u0111\u01b0\u1ee3c \u1ee9ng d\u1ee5ng trong nhi\u1ec1u l\u0129nh v\u1ef1c nh\u01b0 t\u00e0i ch\u00ednh, y t\u1ebf, b\u1ea3o hi\u1ec3m, gi\u00e1o d\u1ee5c, giao th\u00f4ng, v.v.. <\/span><\/p>\n D\u01b0\u1edbi \u0111\u00e2y l\u00e0 c\u00e1c b\u00e1o c\u00e1o \u0111\u01b0\u1ee3c tr\u00ecnh b\u00e0y t\u1ea1i H\u1ed9i th\u1ea3o:<\/span><\/p>\n M\u1ed9t s\u1ed1 h\u00ecnh \u1ea3nh kh\u00e1c t\u1ea1i H\u1ed9i th\u1ea3o:\u00a0<\/span><\/p>\n <\/span><\/p>\n <\/span><\/p>\n <\/span><\/p>\n Tin KHTN<\/span><\/p>\n .<\/span><\/p>\n \n","protected":false},"excerpt":{"rendered":" V\u00e0o ng\u00e0y 8\/6\/2019, t\u1ea1i Tr\u01b0\u1eddng \u0110\u1ea1i h\u1ecdc Khoa h\u1ecdc T\u1ef1 nhi\u00ean, \u0110HQG-HCM \u0111\u00e3 di\u1ec5n ra H\u1ed9i th\u1ea3o chuy\u00ean \u0111\u1ec1: \u201cAI – From research to application\u201d. H\u1ed9i th\u1ea3o nh\u1eb1m m\u1ee5c \u0111\u00edch…<\/p>\n","protected":false},"author":3,"featured_media":28942,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[260],"tags":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/posts\/28947"}],"collection":[{"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/comments?post=28947"}],"version-history":[{"count":1,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/posts\/28947\/revisions"}],"predecessor-version":[{"id":37047,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/posts\/28947\/revisions\/37047"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/media\/28942"}],"wp:attachment":[{"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/media?parent=28947"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/categories?post=28947"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/tags?post=28947"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n