{"id":18840,"date":"2025-07-02T18:49:43","date_gmt":"2025-07-02T11:49:43","guid":{"rendered":"https:\/\/trungvu.net\/?p=18840"},"modified":"2025-07-02T18:49:47","modified_gmt":"2025-07-02T11:49:47","slug":"bo-nao-nhan-tao-la-gi-tuong-lai-tri-tue-nhan-tao-da-gan-hon-bao-gio-het","status":"publish","type":"post","link":"https:\/\/trungvu.net\/wordpress\/bo-nao-nhan-tao-la-gi-tuong-lai-tri-tue-nhan-tao-da-gan-hon-bao-gio-het\/","title":{"rendered":"B\u1ed9 N\u00e3o Nh\u00e2n T\u1ea1o L\u00e0 G\u00ec? T\u01b0\u01a1ng Lai Tr\u00ed Tu\u1ec7 Nh\u00e2n T\u1ea1o \u0110\u00e3 G\u1ea7n H\u01a1n Bao Gi\u1edd H\u1ebft"},"content":{"rendered":"\n

Gi\u1edbi thi\u1ec7u<\/strong><\/p>\n\n\n\n

Trong th\u1eddi \u0111\u1ea1i c\u00f4ng ngh\u1ec7 s\u1ed1 b\u00f9ng n\u1ed5, b\u1ed9 n\u00e3o nh\u00e2n t\u1ea1o (Artificial Brain) kh\u00f4ng c\u00f2n l\u00e0 kh\u00e1i ni\u1ec7m xa v\u1eddi ch\u1ec9 xu\u1ea5t hi\u1ec7n trong c\u00e1c b\u1ed9 phim khoa h\u1ecdc vi\u1ec5n t\u01b0\u1edfng. Nh\u1edd s\u1ef1 ph\u00e1t tri\u1ec3n v\u01b0\u1ee3t b\u1eadc c\u1ee7a tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI), h\u1ecdc m\u00e1y (machine learning) v\u00e0 m\u00f4 ph\u1ecfng th\u1ea7n kinh nh\u00e2n t\u1ea1o, con ng\u01b0\u1eddi \u0111ang ti\u1ebfn r\u1ea5t g\u1ea7n \u0111\u1ebfn vi\u1ec7c t\u1ea1o ra m\u1ed9t h\u1ec7 th\u1ed1ng m\u00e1y m\u00f3c c\u00f3 kh\u1ea3 n\u0103ng t\u01b0 duy, h\u1ecdc h\u1ecfi v\u00e0 ph\u1ea3n \u1ee9ng g\u1ea7n gi\u1ed1ng nh\u01b0 b\u1ed9 n\u00e3o con ng\u01b0\u1eddi.<\/p>\n\n\n\n

\"B\u1ed9
B\u1ed9 N\u00e3o Nh\u00e2n T\u1ea1o L\u00e0 G\u00ec? T\u01b0\u01a1ng Lai Tr\u00ed Tu\u1ec7 Nh\u00e2n T\u1ea1o \u0110\u00e3 G\u1ea7n H\u01a1n Bao Gi\u1edd H\u1ebft<\/em><\/figcaption><\/figure>\n\n\n\n

V\u1eady b\u1ed9 n\u00e3o nh\u00e2n t\u1ea1o l\u00e0 g\u00ec, ho\u1ea1t \u0111\u1ed9ng nh\u01b0 th\u1ebf n\u00e0o v\u00e0 ti\u1ec1m n\u0103ng ra sao? H\u00e3y c\u00f9ng kh\u00e1m ph\u00e1 chi ti\u1ebft trong b\u00e0i vi\u1ebft d\u01b0\u1edbi \u0111\u00e2y.<\/p>\n\n\n\n

1. B\u1ed9 n\u00e3o nh\u00e2n t\u1ea1o l\u00e0 g\u00ec?<\/strong><\/p>\n\n\n\n

B\u1ed9 n\u00e3o nh\u00e2n t\u1ea1o (Artificial Brain) l\u00e0 m\u1ed9t h\u1ec7 th\u1ed1ng \u0111i\u1ec7n t\u1eed ho\u1eb7c ph\u1ea7n m\u1ec1m \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 m\u00f4 ph\u1ecfng c\u00e1c ch\u1ee9c n\u0103ng c\u1ee7a b\u1ed9 n\u00e3o con ng\u01b0\u1eddi nh\u01b0 ghi nh\u1edb, h\u1ecdc t\u1eadp, ra quy\u1ebft \u0111\u1ecbnh v\u00e0 x\u1eed l\u00fd th\u00f4ng tin. \u0110\u00e2y l\u00e0 m\u1ed9t b\u01b0\u1edbc ti\u1ebfn xa h\u01a1n so v\u1edbi tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o truy\u1ec1n th\u1ed1ng, khi m\u1ee5c ti\u00eau kh\u00f4ng ch\u1ec9 l\u00e0 x\u1eed l\u00fd d\u1eef li\u1ec7u m\u00e0 c\u00f2n l\u00e0 t\u00e1i t\u1ea1o t\u01b0 duy con ng\u01b0\u1eddi.<\/p>\n\n\n\n

M\u1ed9t s\u1ed1 \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh:<\/strong><\/p>\n\n\n\n

    \n
  • M\u00f4 ph\u1ecfng c\u1ea5u tr\u00fac m\u1ea1ng n\u01a1-ron t\u01b0\u01a1ng t\u1ef1 n\u00e3o ng\u01b0\u1eddi (neural networks)<\/li>\n\n\n\n
  • C\u00f3 kh\u1ea3 n\u0103ng h\u1ecdc h\u1ecfi li\u00ean t\u1ee5c (deep learning, reinforcement learning)<\/li>\n\n\n\n
  • C\u00f3 th\u1ec3 x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean, h\u00ecnh \u1ea3nh, \u00e2m thanh<\/li>\n\n\n\n
  • Th\u1eadm ch\u00ed c\u00f3 th\u1ec3 h\u00ecnh th\u00e0nh \u201c\u00fd th\u1ee9c s\u01a1 khai\u201d trong m\u1ed9t s\u1ed1 th\u1eed nghi\u1ec7m<\/li>\n<\/ul>\n\n\n\n

    2. C\u00e1ch ho\u1ea1t \u0111\u1ed9ng c\u1ee7a b\u1ed9 n\u00e3o nh\u00e2n t\u1ea1o<\/strong><\/p>\n\n\n\n

    B\u1ed9 n\u00e3o nh\u00e2n t\u1ea1o ho\u1ea1t \u0111\u1ed9ng d\u1ef1a tr\u00ean nguy\u00ean l\u00fd m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o (Artificial Neural Networks). \u0110\u00e2y l\u00e0 c\u00e1c thu\u1eadt to\u00e1n \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf m\u00f4 ph\u1ecfng c\u00e1ch c\u00e1c n\u01a1-ron trong n\u00e3o ng\u01b0\u1eddi truy\u1ec1n t\u00edn hi\u1ec7u v\u00e0 x\u1eed l\u00fd th\u00f4ng tin.<\/p>\n\n\n\n

    Qu\u00e1 tr\u00ecnh g\u1ed3m c\u00e1c b\u01b0\u1edbc:<\/strong><\/p>\n\n\n\n

      \n
    • Ti\u1ebfp nh\u1eadn d\u1eef li\u1ec7u: T\u1eeb h\u00ecnh \u1ea3nh, v\u0103n b\u1ea3n, \u00e2m thanh, c\u1ea3m bi\u1ebfn\u2026<\/li>\n\n\n\n
    • Ph\u00e2n t\u00edch v\u00e0 h\u1ecdc t\u1eadp: Th\u00f4ng qua c\u00e1c l\u1edbp m\u1ea1ng n\u01a1-ron (deep layers)<\/li>\n\n\n\n
    • \u0110\u01b0a ra k\u1ebft lu\u1eadn ho\u1eb7c h\u00e0nh \u0111\u1ed9ng: D\u1ef1a tr\u00ean d\u1eef li\u1ec7u h\u1ecdc \u0111\u01b0\u1ee3c<\/li>\n<\/ul>\n\n\n\n

      3. Nh\u1eefng c\u00f4ng ngh\u1ec7 \u0111ang ti\u1ebfn g\u1ea7n \u0111\u1ebfn b\u1ed9 n\u00e3o nh\u00e2n t\u1ea1o<\/strong><\/p>\n\n\n\n

      C\u00f4ng ngh\u1ec7<\/strong><\/td>Vai tr\u00f2<\/strong><\/td><\/tr>
      Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI)<\/td>N\u1ec1n t\u1ea3ng c\u01a1 b\u1ea3n \u0111\u1ec3 t\u1ea1o ra t\u01b0 duy m\u00e1y m\u00f3c<\/td><\/tr>
      H\u1ecdc s\u00e2u (Deep Learning)<\/td>Gi\u00fap h\u1ec7 th\u1ed1ng t\u1ef1 h\u1ecdc t\u1eeb d\u1eef li\u1ec7u<\/td><\/tr>
      \u0110i\u1ec7n to\u00e1n l\u01b0\u1ee3ng t\u1eed<\/td>T\u0103ng t\u1ed1c x\u1eed l\u00fd v\u00e0 m\u00f4 ph\u1ecfng th\u1ea7n kinh<\/td><\/tr>
      Brain-Computer Interface (BCI)<\/td>Giao ti\u1ebfp gi\u1eefa n\u00e3o ng\u01b0\u1eddi v\u00e0 m\u00e1y t\u00ednh<\/td><\/tr>
      M\u00f4 ph\u1ecfng th\u1ea7n kinh (Neuromorphic Computing)<\/td>Thi\u1ebft k\u1ebf chip ho\u1ea1t \u0111\u1ed9ng gi\u1ed1ng t\u1ebf b\u00e0o n\u00e3o<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

      4. \u1ee8ng d\u1ee5ng c\u1ee7a b\u1ed9 n\u00e3o nh\u00e2n t\u1ea1o trong \u0111\u1eddi s\u1ed1ng<\/strong><\/p>\n\n\n\n

        \n
      • Y t\u1ebf: H\u1ed7 tr\u1ee3 ch\u1ea9n \u0111o\u00e1n, ph\u1eabu thu\u1eadt, ch\u0103m s\u00f3c ng\u01b0\u1eddi b\u1ec7nh<\/li>\n\n\n\n
      • Robot th\u00f4ng minh: \u0110i\u1ec1u khi\u1ec3n robot c\u00f3 h\u00e0nh vi gi\u1ed1ng con ng\u01b0\u1eddi<\/li>\n\n\n\n
      • Giao ti\u1ebfp: D\u1ecbch ng\u00f4n ng\u1eef t\u1ef1 \u0111\u1ed9ng, tr\u1ee3 l\u00fd \u1ea3o (AI assistant)<\/li>\n\n\n\n
      • Gi\u00e1o d\u1ee5c: Gia s\u01b0 \u1ea3o, ph\u00e2n t\u00edch n\u0103ng l\u1ef1c h\u1ecdc t\u1eadp<\/li>\n\n\n\n
      • Qu\u1ed1c ph\u00f2ng: Ra quy\u1ebft \u0111\u1ecbnh chi\u1ebfn l\u01b0\u1ee3c v\u00e0 ph\u00f2ng th\u1ee7 t\u1ef1 \u0111\u1ed9ng<\/li>\n<\/ul>\n\n\n\n

        5. L\u1ee3i \u00edch v\u00e0 th\u00e1ch th\u1ee9c<\/strong><\/p>\n\n\n\n

        \u2705 L\u1ee3i \u00edch:<\/strong><\/p>\n\n\n\n

          \n
        • T\u0103ng hi\u1ec7u su\u1ea5t v\u00e0 \u0111\u1ed9 ch\u00ednh x\u00e1c trong nhi\u1ec1u l\u0129nh v\u1ef1c<\/li>\n\n\n\n
        • Gi\u1ea3m chi ph\u00ed nh\u00e2n l\u1ef1c, \u0111\u1eb7c bi\u1ec7t trong s\u1ea3n xu\u1ea5t v\u00e0 d\u1ecbch v\u1ee5<\/li>\n\n\n\n
        • M\u1edf ra kh\u1ea3 n\u0103ng hi\u1ec3u bi\u1ebft s\u00e2u h\u01a1n v\u1ec1 ch\u00ednh b\u1ed9 n\u00e3o con ng\u01b0\u1eddi<\/li>\n<\/ul>\n\n\n\n

          \u274c Th\u00e1ch th\u1ee9c:<\/strong><\/p>\n\n\n\n

            \n
          • Nguy c\u01a1 m\u1ea5t ki\u1ec3m so\u00e1t n\u1ebfu AI ph\u00e1t tri\u1ec3n qu\u00e1 nhanh<\/li>\n\n\n\n
          • R\u1ee7i ro \u0111\u1ea1o \u0111\u1ee9c: AI c\u00f3 n\u00ean \u0111\u01b0\u1ee3c \u201ctrao quy\u1ec1n\u201d t\u01b0 duy?<\/li>\n\n\n\n
          • Nguy c\u01a1 m\u1ea5t vi\u1ec7c l\u00e0m quy m\u00f4 l\u1edbn n\u1ebfu kh\u00f4ng th\u00edch \u1ee9ng k\u1ecbp<\/li>\n<\/ul>\n\n\n\n

            6. T\u01b0\u01a1ng lai c\u1ee7a b\u1ed9 n\u00e3o nh\u00e2n t\u1ea1o<\/strong><\/p>\n\n\n\n

            C\u00e1c chuy\u00ean gia d\u1ef1 \u0111o\u00e1n r\u1eb1ng trong v\u00f2ng 20\u201330 n\u0103m t\u1edbi, ch\u00fang ta c\u00f3 th\u1ec3 ch\u1ee9ng ki\u1ebfn:<\/p>\n\n\n\n

              \n
            • B\u1ed9 n\u00e3o nh\u00e2n t\u1ea1o ho\u00e0n ch\u1ec9nh \u0111\u1ea7u ti\u00ean \u0111\u01b0\u1ee3c \u0111\u01b0a v\u00e0o th\u1ef1c nghi\u1ec7m<\/li>\n\n\n\n
            • K\u1ebft n\u1ed1i n\u00e3o ng\u01b0\u1eddi \u2013 AI cho ph\u00e9p t\u0103ng c\u01b0\u1eddng tr\u00ed tu\u1ec7 (Neuralink, OpenBCI)<\/li>\n\n\n\n
            • Robot t\u01b0 duy \u0111\u1ed9c l\u1eadp tr\u1edf th\u00e0nh m\u1ed9t ph\u1ea7n c\u1ee7a \u0111\u1eddi s\u1ed1ng<\/li>\n<\/ul>\n\n\n\n

              Elon Musk t\u1eebng n\u00f3i: \u201cN\u1ebfu kh\u00f4ng h\u1ee3p nh\u1ea5t v\u1edbi AI, lo\u00e0i ng\u01b0\u1eddi s\u1ebd t\u1ee5t h\u1eadu.\u201d<\/p>\n\n\n\n

              7. K\u1ebft lu\u1eadn<\/strong><\/p>\n\n\n\n

              B\u1ed9 n\u00e3o nh\u00e2n t\u1ea1o kh\u00f4ng ch\u1ec9 l\u00e0 m\u1ed9t c\u00f4ng ngh\u1ec7 mang t\u00ednh \u0111\u1ed9t ph\u00e1, m\u00e0 c\u00f2n l\u00e0 b\u01b0\u1edbc ngo\u1eb7t trong h\u00e0nh tr\u00ecnh ph\u00e1t tri\u1ec3n c\u1ee7a nh\u00e2n lo\u1ea1i. T\u1eeb khoa h\u1ecdc vi\u1ec5n t\u01b0\u1edfng \u0111\u1ebfn hi\u1ec7n th\u1ef1c, gi\u1ea5c m\u01a1 v\u1ec1 nh\u1eefng c\u1ed7 m\u00e1y c\u00f3 th\u1ec3 t\u01b0 duy, c\u1ea3m nh\u1eadn v\u00e0 h\u1ecdc h\u1ecfi \u0111ang d\u1ea7n th\u00e0nh h\u00ecnh. Tuy nhi\u00ean, c\u00f9ng v\u1edbi ti\u1ec1m n\u0103ng to l\u1edbn, con ng\u01b0\u1eddi c\u1ea7n t\u1ec9nh t\u00e1o \u0111\u1ec3 ki\u1ec3m so\u00e1t, \u0111\u1ecbnh h\u01b0\u1edbng v\u00e0 s\u1eed d\u1ee5ng AI m\u1ed9t c\u00e1ch c\u00f3 \u0111\u1ea1o \u0111\u1ee9c v\u00e0 b\u1ec1n v\u1eefng.<\/p>\n\n\n\n

              8. K\u00edch th\u01b0\u1edbc b\u1ed9 n\u00e3o nh\u00e2n t\u1ea1o: T\u1eeb \u201cc\u1ed7 m\u00e1y kh\u1ed5ng l\u1ed3\u201d \u0111\u1ebfn \u201cvi x\u1eed l\u00fd c\u1ea7m tay\u201d<\/strong><\/p>\n\n\n\n

              Khi n\u00f3i \u0111\u1ebfn b\u1ed9 n\u00e3o nh\u00e2n t\u1ea1o, nhi\u1ec1u ng\u01b0\u1eddi th\u01b0\u1eddng h\u00ecnh dung \u0111\u00f3 l\u00e0 m\u1ed9t h\u1ec7 th\u1ed1ng kh\u1ed5ng l\u1ed3, chi\u1ebfm nhi\u1ec1u kh\u00f4ng gian v\u00e0 ti\u00eau t\u1ed1n n\u0103ng l\u01b0\u1ee3ng l\u1edbn. Nh\u01b0ng th\u1ef1c t\u1ebf, k\u00edch th\u01b0\u1edbc c\u1ee7a c\u00e1c h\u1ec7 th\u1ed1ng m\u00f4 ph\u1ecfng n\u00e3o ng\u01b0\u1eddi \u0111ang ng\u00e0y c\u00e0ng thu nh\u1ecf, nh\u1edd v\u00e0o s\u1ef1 ph\u00e1t tri\u1ec3n v\u01b0\u1ee3t b\u1eadc c\u1ee7a vi m\u1ea1ch, c\u00f4ng ngh\u1ec7 b\u00e1n d\u1eabn v\u00e0 \u0111i\u1ec7n to\u00e1n l\u01b0\u1ee3ng t\u1eed.<\/p>\n\n\n\n

              \ud83d\udd39 K\u00edch th\u01b0\u1edbc hi\u1ec7n t\u1ea1i<\/strong><\/p>\n\n\n\n

              Hi\u1ec7n nay, m\u1ed9t s\u1ed1 m\u00f4 h\u00ecnh b\u1ed9 n\u00e3o nh\u00e2n t\u1ea1o ho\u1ea1t \u0111\u1ed9ng c\u1ea7n t\u1edbi:<\/p>\n\n\n\n

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              • C\u1ee5m si\u00eau m\u00e1y t\u00ednh v\u1edbi h\u00e0ng ngh\u00ecn CPU\/GPU<\/li>\n\n\n\n
              • T\u1ea3n nhi\u1ec7t m\u1ea1nh, ti\u00eau th\u1ee5 \u0111i\u1ec7n n\u0103ng l\u1edbn<\/li>\n\n\n\n
              • Di\u1ec7n t\u00edch h\u1ec7 th\u1ed1ng c\u00f3 th\u1ec3 chi\u1ebfm c\u1ea3 ph\u00f2ng m\u00e1y ch\u1ee7<\/li>\n<\/ul>\n\n\n\n

                \ud83d\udd39 K\u00edch th\u01b0\u1edbc trong t\u01b0\u01a1ng lai<\/strong><\/p>\n\n\n\n

                V\u1edbi c\u00f4ng ngh\u1ec7 neuromorphic computing v\u00e0 vi x\u1eed l\u00fd th\u1ea7n kinh, c\u00e1c nh\u00e0 khoa h\u1ecdc k\u1ef3 v\u1ecdng s\u1ebd:<\/p>\n\n\n\n

                  \n
                • T\u00edch h\u1ee3p b\u1ed9 n\u00e3o nh\u00e2n t\u1ea1o tr\u00ean m\u1ed9t con chip nh\u1ecf nh\u01b0 CPU \u0111i\u1ec7n tho\u1ea1i<\/li>\n\n\n\n
                • G\u1eafn tr\u1ef1c ti\u1ebfp v\u00e0o robot, drone, th\u1eadm ch\u00ed l\u00e0 c\u01a1 th\u1ec3 ng\u01b0\u1eddi (giao di\u1ec7n n\u00e3o \u2013 m\u00e1y)<\/li>\n\n\n\n
                • Gi\u1ea3m k\u00edch th\u01b0\u1edbc xu\u1ed1ng ch\u1ec9 b\u1eb1ng 1\/100 hi\u1ec7n nay, ti\u00eau t\u1ed1n r\u1ea5t \u00edt n\u0103ng l\u01b0\u1ee3ng<\/li>\n<\/ul>\n\n\n\n

                  9. So s\u00e1nh th\u00fa v\u1ecb: B\u1ed9 n\u00e3o nh\u00e2n t\u1ea1o v\u00e0 h\u00e0nh tr\u00ecnh thu nh\u1ecf c\u1ee7a c\u00f4ng ngh\u1ec7<\/strong><\/p>\n\n\n\n

                  \ud83d\udcf1 <\/strong><\/p>\n\n\n\n

                  \u0110i\u1ec7n tho\u1ea1i di \u0111\u1ed9ng<\/strong><\/p>\n\n\n\n

                    \n
                  • X\u01b0a: C\u1ed3ng k\u1ec1nh nh\u01b0 c\u1ee5c g\u1ea1ch (n\u1eb7ng h\u00e0ng kg, ch\u1ec9 g\u1ecdi \u0111\u01b0\u1ee3c)<\/li>\n\n\n\n
                  • Nay: Nh\u1ecf g\u1ecdn trong l\u00f2ng b\u00e0n tay, m\u1ea1nh nh\u01b0 m\u00e1y t\u00ednh<\/li>\n<\/ul>\n\n\n\n

                    \ud83d\udcbb <\/strong><\/p>\n\n\n\n

                    M\u00e1y t\u00ednh<\/strong><\/p>\n\n\n\n

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                    • X\u01b0a: C\u1ea7n c\u1ea3 c\u0103n ph\u00f2ng, ch\u1ec9 l\u00e0m \u0111\u01b0\u1ee3c ph\u00e9p to\u00e1n \u0111\u01a1n gi\u1ea3n<\/li>\n\n\n\n
                    • Nay: Laptop si\u00eau m\u1ecfng, th\u1eadm ch\u00ed \u0111\u1ed3ng h\u1ed3 th\u00f4ng minh m\u1ea1nh h\u01a1n m\u00e1y t\u00ednh NASA n\u0103m 1969<\/li>\n<\/ul>\n\n\n\n

                      \ud83e\udde0 <\/strong><\/p>\n\n\n\n

                      B\u1ed9 n\u00e3o nh\u00e2n t\u1ea1o<\/strong><\/p>\n\n\n\n

                        \n
                      • Hi\u1ec7n t\u1ea1i: Ch\u1ea1y tr\u00ean si\u00eau m\u00e1y t\u00ednh l\u1edbn nh\u01b0 ph\u00f2ng th\u00ed nghi\u1ec7m<\/li>\n\n\n\n
                      • T\u01b0\u01a1ng lai: Thu nh\u1ecf v\u00e0o chip c\u00e0i trong ng\u01b0\u1eddi, ho\u1eb7c ch\u1ea1y \u0111\u1ed9c l\u1eadp tr\u00ean thi\u1ebft b\u1ecb c\u1ea7m tay<\/li>\n<\/ul>\n\n\n\n

                        10. Li\u1ec7u b\u1ed9 n\u00e3o nh\u00e2n t\u1ea1o c\u00f3 n\u1eb1m trong\u2026 t\u00fai \u00e1o b\u1ea1n?<\/strong><\/p>\n\n\n\n

                        V\u1edbi t\u1ed1c \u0111\u1ed9 ti\u1ebfn h\u00f3a c\u00f4ng ngh\u1ec7 hi\u1ec7n nay, vi\u1ec5n c\u1ea3nh b\u1ed9 n\u00e3o nh\u00e2n t\u1ea1o c\u00e1 nh\u00e2n \u2013 c\u00f3 kh\u1ea3 n\u0103ng h\u1ecdc h\u1ecfi, ghi nh\u1edb v\u00e0 h\u1ed7 tr\u1ee3 b\u1ea1n m\u1ecdi l\u00fac m\u1ecdi n\u01a1i \u2013 ho\u00e0n to\u00e0n kh\u1ea3 thi. H\u00e3y t\u01b0\u1edfng t\u01b0\u1ee3ng:<\/p>\n\n\n\n

                          \n
                        • M\u1ed9t tr\u1ee3 l\u00fd AI kh\u00f4ng c\u1ea7n k\u1ebft n\u1ed1i m\u1ea1ng<\/li>\n\n\n\n
                        • M\u1ed9t \u201ctr\u00ed nh\u1edb ph\u1ee5\u201d c\u00e1 nh\u00e2n l\u01b0u gi\u1eef m\u1ecdi th\u00f4ng tin b\u1ea1n c\u1ea7n<\/li>\n\n\n\n
                        • M\u1ed9t ph\u1ea7n m\u1edf r\u1ed9ng c\u1ee7a b\u1ed9 n\u00e3o con ng\u01b0\u1eddi, n\u00e2ng c\u1ea5p n\u0103ng l\u1ef1c t\u01b0 duy v\u00e0 s\u00e1ng t\u1ea1o<\/li>\n<\/ul>\n\n\n\n

                          T\u01b0\u01a1ng lai kh\u00f4ng ph\u1ea3i l\u00e0 khoa h\u1ecdc vi\u1ec5n t\u01b0\u1edfng. N\u00f3 \u0111ang di\u1ec5n ra \u2013 v\u00e0 b\u1ea1n \u0111ang s\u1ed1ng trong th\u1eddi \u0111\u1ea1i \u0111\u00f3.<\/p>\n","protected":false},"excerpt":{"rendered":"

                          Trong th\u1eddi \u0111\u1ea1i c\u00f4ng ngh\u1ec7 s\u1ed1 b\u00f9ng n\u1ed5, b\u1ed9 n\u00e3o nh\u00e2n t\u1ea1o (Artificial Brain) kh\u00f4ng c\u00f2n l\u00e0 kh\u00e1i ni\u1ec7m xa v\u1eddi ch\u1ec9 xu\u1ea5t hi\u1ec7n trong c\u00e1c b\u1ed9 phim khoa h\u1ecdc vi\u1ec5n t\u01b0\u1edfng. Nh\u1edd s\u1ef1 ph\u00e1t tri\u1ec3n v\u01b0\u1ee3t b\u1eadc c\u1ee7a tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI), h\u1ecdc m\u00e1y (machine learning) v\u00e0 m\u00f4 ph\u1ecfng th\u1ea7n kinh nh\u00e2n t\u1ea1o<\/p>\n","protected":false},"author":1,"featured_media":18841,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2053],"tags":[2059,233,2035,2058,2051],"class_list":["post-18840","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tuong-lai-cong-nghe","tag-bo-nao-nhan-tao","tag-cong-nghe-ai","tag-cong-nghe-tuong-lai","tag-tri-tue-ai","tag-tuong-lai"],"yoast_head":"\nB\u1ed9 N\u00e3o Nh\u00e2n T\u1ea1o L\u00e0 G\u00ec? 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