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Ditch the programmers

机译:抛弃程序员

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摘要

Your smartphone is amazing, but ask it to do something it doesn't have an app for and it just sits there. Without programmers to write apps, computers are useless. That could soon change. DeepMind Technologies, a London-based artificial-intelligence firm acquired by Google this year, has revealed that it is designing computers that combine the way ordinary computers work with the way the human brain works. They call this hybrid device a Neural Turing Machine. The hope is it won't need programmers, and will instead program itself. Neural networks, which make up half of DeepMind's computer architecture, have been around for decades but are receiving renewed attention as more powerful computers take advantage of them. The idea is to split processing across a network of artificial "neurons", simple units that process an input and pass it on. These networks are good at learning to recognise pieces of data and classify them into categories. Facebook recently trained a neural network to identify faces with near-human accuracy (read more about how computers are learning to see, on page 24).
机译:您的智能手机很棒,但是要求它执行没有应用程序的功能,而它只是放在那儿。没有程序员编写应用程序,计算机就毫无用处。那可能很快就会改变。 DeepMind Technologies是一家总部位于伦敦的人工智能公司,今年被Google收购。该公司透露,该公司正在设计将普通计算机的工作方式与人脑的工作方式结合在一起的计算机。他们将此混合设备称为神经图灵机。希望它不需要程序员,而是自己编写程序。神经网络已构成DeepMind计算机体系结构的一半,已经存在了数十年,但随着功能更强大的计算机利用它们而受到了越来越多的关注。这个想法是在人工“神经元”网络上划分处理过程,这些简单的单元处理输入并将其传递。这些网络善于学习识别数据并将其分类。 Facebook最近训练了一个神经网络,以近乎人类的准确性识别面部(有关如何学习计算机的更多信息,请参阅第24页)。

著录项

  • 来源
    《New scientist》 |2014年第2993期|21-21|共1页
  • 作者

    Jacob Aron;

  • 作者单位
  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 02:52:22

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