原创 DeepMind提出強化學習新方法，可實現人機合作
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2021-12-03 08:03:54
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原创 溯因推理：人工智能的盲點
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2021-11-16 17:48:57
3
原创 DeepMind的新強化學習系統是邁向通用AI的下一步嗎？
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2021-09-26 11:13:57
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原创 TensorFlow出現任意代碼執行漏洞，團隊宣佈撤銷對YAML的支持
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2021-09-02 08:03:56
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原创 爲什麼神經網絡不適合理解自然語言 ？
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2021-08-04 16:13:54
4
原创 三位深度學習先驅聯合發文：深度學習的挑戰與未來
{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"typ
2021-07-14 10:36:27
2
原创 谷歌利用人工智能設計的芯片揭示了智能的本質
{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"typ
2021-06-30 09:03:57
原创 DeepMind科學家：強化學習足以滿足通用AI需求
{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragr
2021-06-15 11:23:51
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原创 用JavaScript學習機器學習的4個理由
{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"typ
2021-05-18 09:33:51
1
原创 DeepMind的年度報告：虧損42億再創新高，收益仰賴谷歌母公司
{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"typ
2021-01-14 16:58:59
原创 機器學習對抗攻擊是一顆“定時炸彈”
{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"typ
2020-12-31 09:33:54
1
原创 十年三度易主，被孫正義60億賤賣，波士頓動力還有“光明的未來”嗎？
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2020-12-30 14:38:54
原创 FPGA在深度學習應用中或將取代GPU
{"type":"doc","content":[{"type":"blockquote","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null
2020-12-08 09:03:57
4
原创 深度學習是否被大肆宣傳
深度學習研究領域是否存在過分誇大的現象？如何看待媒體界和公衆對深度學習的誤解？ 本文最初發表在 TechTalks 網站，經原作者 Ben Dickson 授權，InfoQ 中文站翻譯並分享。* 本文系“Demystifying AI”
2020-07-03 07:03:51
原创 混合智能系統正在悄悄解決深度學習問題
過去幾年中，深度學習技術重新燃起了人們對人工智能的興趣，它幫助解決了計算機視覺、自然語言處理以及語音識別領域中的許多關鍵問題。然而，隨着深度學習的成熟以及它從炒作高峯到幻滅低谷的轉變，它所缺少的一些基本組成部分漸漸浮出水面。 在去年，深度學
2020-04-02 14:13:52
1