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Anything you can do...

机译:您可以做的任何事情...

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Victory to the machines - again. Google's AlphaGo software has defeated human Go grandmaster Lee Sedol 4-1 in a five-game series. Despite Lee coming back to win the fourth game (see page 21), for many the realisation of what was taking place was stark. "I didn't think AlphaGo would play the game in such a perfect manner," Lee admitted in shock. The showdown has drawn eyes from around the world -30 million people watched it in China alone. Like Deep Blue checkmating chess grandmaster Garry Kasparov, or Watson answering questions onjeopardy!, it represents a milestone in our relationship with machines. But it is also a sign of things to come. The machine learning techniques behind AlphaGo are driving breakthroughs in many fields. Neural networks are software models, built from multiple layers of interlinked artificial neurons, that can learn and adapt based on the data they process. They drive everything from facial recognition software on your phone to virtual assistants like Apple's Siri and software that diagnoses disease.
机译:机器的胜利-再次。谷歌的AlphaGo软件在五场系列赛中以4-1击败了人类围棋大师Lee Sedol。尽管Lee再次赢得了第四场比赛(请参阅第21页),但对于许多人来说,正在发生的事情却是显而易见的。 “我不认为AlphaGo会以如此完美的方式玩游戏,”李震惊地承认。这场摊牌吸引了全世界的目光,仅在中国就有3000万人观看了这场摊牌。像深蓝核对象棋国际象棋大师加里·卡斯帕罗夫(Garry Kasparov)或沃森(Watson)危在旦夕地回答问题一样,它代表了我们与机器关系的里程碑。但这也预示着即将发生的事情。 AlphaGo背后的机器学习技术正在推动许多领域的突破。神经网络是由多层相互连接的人工神经元构建的软件模型,可以基于它们处理的数据进行学习和调整。它们驱动从手机上的面部识别软件到Apple Siri等虚拟助手以及诊断疾病的软件等所有内容。

著录项

  • 来源
    《New scientist》 |2016年第3065期|20-21|共2页
  • 作者

    Aviva Rutkin;

  • 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 02:51:21

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