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A View of the Top Breakthroughs in Artificial Intelligence in 2015

机译:2015年人工智能领域的重大突破

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Late last year, Richard Mallah, the Director of A.I. Projects at technology beneficence nonprofit Future of Life Institute, and the Director of Advanced Analytics at knowledge integration platform firm Cambridge Semantics, released his candidates for the important breakthroughs in artificial intelligence during 2015. He grouped the advances into five broad categories. '"The vast majority of work in the field these days actually builds on previous work done by other teams earlier the same year, in contrast to most other fields where references span decades. Creating a summary of a wide range of developments in this field will almost invariably lead to descriptions that sound heavily anthropomorphic, and this summary does indeed. It's important to remember that even though many of these capabilities sound very thought-like, they're usually not very similar to how human cognition works. The systems are all of course functional and mechanistic, and, though increasingly less so, each are still quite narrow in what they do. Be warned though: in reading this [summary], these functionalities may seem to go from fanciful to prosaic.
机译:去年下半年,人工智能总监理查德·马拉(Richard Mallah)非营利性技术慈善机构Future of Life的项目以及知识整合平台公司Cambridge Semantics的Advanced Analytics总监在2015年发布了人工智能重要突破的候选人。他将这些进步分为五大类。 ““如今,该领域中的绝大多数工作实际上都是基于同年早些时候其他团队所做的工作,而其他大多数领域的参考文献则需要数十年。与之相比,创建该领域广泛发展的摘要将会该摘要的确确实如此。重要的是要记住,尽管这些功能中的许多听起来很像思维,但它们通常与人类认知的工作方式并不十分相似。当然要注意的是功能和机制,尽管功能和机制越来越少,但是它们各自的功能仍然相当狭窄,请注意:在阅读本摘要时,这些功能似乎从幻想变成平淡无奇。

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    《Intelligence》 |2016年第9期|5-7|共3页
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