{"id":558,"date":"2023-11-24T15:01:06","date_gmt":"2023-11-24T08:01:06","guid":{"rendered":"https:\/\/xuhuongai.com\/?p=558"},"modified":"2023-11-24T15:01:06","modified_gmt":"2023-11-24T08:01:06","slug":"tri-tue-nhan-tao-luong-tu-da-den-gan-hon-ban-nghi","status":"publish","type":"post","link":"https:\/\/xuhuongai.com\/?p=558","title":{"rendered":"Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o l\u01b0\u1ee3ng t\u1eed \u0111\u00e3 \u0111\u1ebfn g\u1ea7n h\u01a1n b\u1ea1n ngh\u0129"},"content":{"rendered":"\n
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B\u1ea3n tin \u0111\u01b0\u1ee3c t\u00f3m t\u1eaft Anh-Vi\u1ec7t b\u1edfi n\u1ec1n t\u1ea3ng t\u1ea1o tr\u1ee3 l\u00fd AI \u2013\u00a0KamiMind<\/a>.<\/p>\nNgu\u1ed3n: Jonathan Reichental, “Quantum Artificial Intelligence Is Closer Than You Think<\/a>“, Forbes, 20\/11\/2023.<\/cite><\/blockquote>\n\n\n\n

\"\"
\u1ea2nh minh h\u1ecda. Ngu\u1ed3n: GETTY<\/figcaption><\/figure>\n\n\n\n

M\u1ed9t vi\u1ec5n c\u1ea3nh m\u00e0 c\u00f4ng ngh\u1ec7 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) s\u1ebd \u0111\u01b0\u1ee3c cung c\u1ea5p n\u0103ng l\u01b0\u1ee3ng b\u1edfi m\u1ed9t th\u1ebf h\u1ec7 m\u1edbi c\u1ee7a c\u00f4ng ngh\u1ec7 x\u1eed l\u00fd – c\u00f4ng ngh\u1ec7 t\u00ednh to\u00e1n l\u01b0\u1ee3ng t\u1eed. \u0110\u00e2y l\u00e0 m\u1ed9t c\u00e1ch ti\u1ebfp c\u1eadn ho\u00e0n to\u00e0n m\u1edbi trong vi\u1ec7c x\u1eed l\u00fd th\u00f4ng tin, n\u1ebfu k\u1ebft h\u1ee3p v\u1edbi AI, n\u00f3 c\u00f3 ti\u1ec1m n\u0103ng \u0111\u1ec3 mang l\u1ea1i m\u1ed9t cu\u1ed9c c\u00e1ch m\u1ea1ng t\u00ednh to\u00e1n m\u1edbi.<\/p>\n\n\n\n

Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o l\u01b0\u1ee3ng t\u1eed (QAI), s\u1ebd s\u1eed d\u1ee5ng c\u00e1c thu\u1eadt to\u00e1n m\u1edbi \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf b\u1eb1ng l\u01b0\u1ee3ng t\u1eed v\u1edbi nh\u1eefng “si\u00eau n\u0103ng l\u1ef1c” t\u1ea1o ra nh\u1eefng m\u00f4 h\u00ecnh AI m\u1ea1nh m\u1ebd h\u01a1n nhi\u1ec1u. Khi QAI d\u1ea7n xu\u1ea5t hi\u1ec7n, ch\u00fang ta c\u00f3 th\u1ec3 mong \u0111\u1ee3i nh\u1eefng c\u1ea3i ti\u1ebfn \u0111\u00e1ng k\u1ec3 v\u1ec1 t\u1ed1c \u0111\u1ed9, hi\u1ec7u su\u1ea5t v\u00e0 \u0111\u1ed9 ch\u00ednh x\u00e1c c\u1ee7a AI. Ch\u00fang ta c\u0169ng n\u00ean d\u1ef1 \u0111o\u00e1n s\u1ef1 xu\u1ea5t hi\u1ec7n c\u1ee7a nh\u1eefng kh\u1ea3 n\u0103ng kinh doanh ho\u00e0n to\u00e0n m\u1edbi v\u00e0 \u0111\u00e1ng ng\u1ea1c nhi\u00ean.<\/p>\n\n\n\n

V\u00ed d\u1ee5 v\u1ec1 c\u00f4ng vi\u1ec7c \u0111ang \u0111\u01b0\u1ee3c ti\u1ebfn h\u00e0nh ng\u00e0y nay l\u00e0 s\u1ef1 h\u1ee3p t\u00e1c gi\u1eefa IonQ v\u00e0 Hyundai, h\u1ecd \u0111ang nghi\u00ean c\u1ee9u vi\u1ec7c s\u1eed d\u1ee5ng QAI \u0111\u1ec3 x\u1eed l\u00fd h\u00ecnh \u1ea3nh nh\u01b0 bi\u1ec3n b\u00e1o \u0111\u01b0\u1eddng b\u1ed9. \u0110\u1ec3 t\u00ecm hi\u1ec3u th\u00eam v\u1ec1 c\u00f4ng ngh\u1ec7 n\u00e0y, Google hi\u1ec7n \u0111ang cung c\u1ea5p m\u1ed9t n\u1ec1n t\u1ea3ng, TensorFlow Quantum (TFQ), \u0111\u1ec3 t\u1ea1o “m\u00f4 h\u00ecnh AI l\u01b0\u1ee3ng t\u1eed – c\u1ed5 \u0111i\u1ec3n”.<\/p>\n\n\n\n

Thay v\u00ec \u0111u\u1ed5i k\u1ecbp khi QAI xu\u1ea5t hi\u1ec7n, c\u00e1c t\u1ed5 ch\u1ee9c n\u00ean c\u00f3 c\u00f4ng ngh\u1ec7 n\u00e0y trong t\u1ea7m ng\u1eafm c\u1ee7a h\u1ecd v\u00e0 theo s\u00e1t nh\u1eefng ph\u00e1t tri\u1ec3n. Nh\u1eefng ng\u01b0\u1eddi may m\u1eafn c\u00f3 m\u1ed9t ph\u00f2ng th\u00ed nghi\u1ec7m s\u00e1ng t\u1ea1o ho\u1eb7c t\u01b0\u01a1ng \u0111\u01b0\u01a1ng, n\u00ean c\u00e2n nh\u1eafc m\u1ed9t s\u1ed1 c\u00f4ng vi\u1ec7c th\u1eed nghi\u1ec7m v\u00e0 nghi\u00ean c\u1ee9u, ngay c\u1ea3 ch\u1ec9 v\u1edbi m\u1ee5c \u0111\u00edch thu th\u1eadp k\u1ef9 n\u0103ng v\u00e0 ki\u1ebfn th\u1ee9c.<\/p>\n\n\n\n

M\u1ee9c \u0111\u1ed9 quan t\u00e2m cao t\u1eeb ng\u00e0nh c\u00f4ng nghi\u1ec7p v\u00e0 t\u1ed1c \u0111\u1ed9 c\u1ee7a nghi\u00ean c\u1ee9u khoa h\u1ecdc r\u00f5 r\u00e0ng cho th\u1ea5y r\u1eb1ng QAI \u0111ang \u0111\u1ebfn, v\u00e0 c\u00e2u h\u1ecfi s\u1ebd l\u00e0 li\u1ec7u b\u1ea1n c\u00f3 s\u1eb5n s\u00e0ng hay kh\u00f4ng. N\u00f3 c\u00f3 l\u1ebd \u0111ang \u0111\u1ebfn g\u1ea7n h\u01a1n b\u1ea1n ngh\u0129 v\u00e0 n\u00f3 c\u00f3 th\u1ec3 s\u1ebd r\u1ea5t quan tr\u1ecdng.<\/p>\n\n\n\n

B\u1ea3n t\u00f3m t\u1eaft ti\u1ebfng Anh<\/summary>\n

Based on my understanding, the combination of artificial intelligence and quantum computing is a powerful one that is likely to bring about significant changes in the technology industry. Quantum computing, with its potential for processing information at a much faster rate than classical computing, could supercharge AI capabilities and lead to revolutionary innovations.<\/p>\n\n\n\n

The development of AI has indeed been impressive, especially with the emergence of generative AI that can create human-like text and images. However, despite advances in microchip technology, the processing power of AI is still limited by silicon-based hardware.<\/p>\n\n\n\n

The possible solution to this limitation is quantum computing, a novel approach to processing information that leverages principles from quantum mechanics. Quantum computers use ‘qubits’, which unlike classical bits that process information serially and can only represent 1 or 0, can represent both simultaneously, thus potentially offering much higher processing speeds.<\/p>\n\n\n\n

Several major tech companies like IBM, Microsoft, Google, and new market entrants like IonQ and D-Wave Systems are already exploring quantum computing. While usage of this technology is still largely experimental, practical applications are emerging in fields such as pharmaceutical development, cybersecurity, financial services, and weather forecasting.<\/p>\n\n\n\n

The integration of AI and quantum computing, or Quantum Artificial Intelligence (QAI), is expected to result in AI models with significantly improved speed, efficiency, and accuracy, and even lead to new business capabilities. Industries with optimization requirements are likely to be the early beneficiaries of this technology, but as it becomes more mainstream, almost every business will need to have a strategy for QAI.<\/p>\n\n\n\n

The partnership between IonQ and Hyundai, which is exploring the use of QAI for image processing, and Google’s TensorFlow Quantum (TFQ) platform for prototyping hybrid quantum-classical AI models, are examples of the ongoing work in this field.<\/p>\n\n\n\n

The pace of scientific research and the high level of interest from the industry suggest that the advent of QAI may be closer than we think. Therefore, it would be prudent for organizations to keep a close eye on developments in this field and consider initiating research and experimental work to acquire skills and knowledge in this area.<\/p>\n<\/details>\n","protected":false},"excerpt":{"rendered":"

M\u1ed9t vi\u1ec5n c\u1ea3nh m\u00e0 c\u00f4ng ngh\u1ec7 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) s\u1ebd \u0111\u01b0\u1ee3c cung c\u1ea5p n\u0103ng l\u01b0\u1ee3ng b\u1edfi m\u1ed9t th\u1ebf h\u1ec7 m\u1edbi c\u1ee7a c\u00f4ng ngh\u1ec7 x\u1eed l\u00fd – c\u00f4ng ngh\u1ec7 t\u00ednh to\u00e1n l\u01b0\u1ee3ng t\u1eed.<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[109,108,107,10],"class_list":["post-558","post","type-post","status-publish","format-standard","hentry","category-ai-news","tag-quantum-artificial-intelligence","tag-quantum-computing","tag-tinh-toan-luong-tu","tag-tri-tue-nhan-tao"],"_links":{"self":[{"href":"https:\/\/xuhuongai.com\/index.php?rest_route=\/wp\/v2\/posts\/558","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/xuhuongai.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/xuhuongai.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/xuhuongai.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/xuhuongai.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=558"}],"version-history":[{"count":1,"href":"https:\/\/xuhuongai.com\/index.php?rest_route=\/wp\/v2\/posts\/558\/revisions"}],"predecessor-version":[{"id":560,"href":"https:\/\/xuhuongai.com\/index.php?rest_route=\/wp\/v2\/posts\/558\/revisions\/560"}],"wp:attachment":[{"href":"https:\/\/xuhuongai.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=558"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/xuhuongai.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=558"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/xuhuongai.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=558"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}