十博:谷歌DeepMind团队打造可微分神经计算机

本文摘要:Google ‘ s artificial intelligence arm hasmade a break through in the development of thinking computers by creating a learning machine that comber谷歌(Google)的人工智能部门在思维电脑开发上取得了突破,他们将“神经网络”计算系统与普通电脑融合在一起,Scientists at deep mind,the tech group ‘ s London-based ai unit,have built例如,要计划两个相距较远的伦敦地铁站之间的最佳路线,或查明家谱上亲属之间的关系。

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Google ‘ s artificial intelligence arm hasmade a break through in the development of thinking computers by creating a learning machine that comber谷歌(Google)的人工智能部门在思维电脑开发上取得了突破,他们将“神经网络”计算系统与普通电脑融合在一起,Scientists at deep mind,the tech group ‘ s London-based ai unit,have built例如,要计划两个相距较远的伦敦地铁站之间的最佳路线,或查明家谱上亲属之间的关系。neural networks-connected systems modelled on biological networks such as the brain-have played a big role in the recent and rapid progress神经网络——是以大脑等生物网络为蓝图的点对点系统3354,在最近人工智能研究的缓慢进展中发挥了相当大的作用。非常擅长推理使数字助手(如谷歌语音(Google Voice)和苹果(Apple)的Siri)能够识别语音的模式。但是以前不能采访自己网络中包含的数据。

20名DeepMind团队在《大自然》 (Nature)杂志上公开的论文中,DNC获得了神经网络,可以采访以前不兼容的外部数据(例如,以普通数字格式编码的文本)。”the trouble is that the memory in a neural network is bound up within the computation itself,which makes it rather fragile and hard to scale up。

“said Alex graves,head of the DNC project。”we decided that the way to make it more robust is to separate out the memory,So that we can expand it without affecting the processor。

“”问题是,神经网络的内存在计算内部初始化,非常脆弱,无法扩展。“DNC项目负责人亚历克斯格雷夫斯(Alex Graves)的内存分离,使其能够影响处理器,得出了更强的结论。“Jay mcclelland,director of Stanford University ‘ s centre for mind,brain and computation,Called the deep mind paper”a versHowever,to make the DNC more useful in the real world than existing ai systems,It will need to be expanded to access far larger memories。

that will require a lot of engineering work,“said Mr graves”。this is a research paper and I don ‘ t want to speculate too much about where this is going in terms of practical problems ” graves表示:“这将需要很多工程工作。”这是一篇研究论文我想过度推断这对解决问题的实际问题有多大的指导意义。

“vast,Independent computer scientists who reviewed the paper before publication said the range of applications for a general purpose DNC couund.ible applications might include gene rating video commentaries and extracting meaning from text。尽管如此,在公开发表前审查该论文的独立国家计算机科学家的反应可能是通用DNC的适用范围很广,潜在的应用程序可能还包括分解视频新闻报道和从文本中提取意义。2010年在伦敦正式成立的Deep mind was founded in London as an ai start-up in 2010 and acquired by Google for 400m in 2014 . deep mind是人工智能的早期。

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