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Als don't understand simple physics

机译:als不懂简单的物理

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摘要

ARTIFICIAL intelligence struggles to comprehend how objects interact with each other as they roll, collide, drop and drape, flunking a set of benchmark tests designed to see how intelligent it really is.The so-called Physion benchmark was designed by Daniel Bear at Stanford University in California and his colleagues. It uses eight scenarios to showcase physical phenomena most humans understand innately.Als were given the opening moments of the scenarios, computer-generated in 3D, featuring objects that were designed to interact with each other. The scenarios (six pictured) included a napkin being draped over objects on a table, a set of dominoes teetering towards collapse and a ball rolling down a slope. The tests were designed to probe how well computer code understood what it was "seeing" and how good it was at predicting what would happen next.
机译:人工智能努力理解物体如何在滚动,碰撞,下降和悬垂时互相互动,碰撞一组基准测试,旨在看到它真正的聪明。所谓的物理基准由丹尼尔熊在斯坦福大学设计 在加利福尼亚州和他的同事。 它使用八种场景来展示大多数人都理解的物理现象。有方案的开放时刻,在3D中产生的计算机生成,以旨在互相交互的物体。 这种情况(六个图片)包括一个餐巾纸在桌子上覆盖物体,一组多米诺骨牌倾向于崩溃和滚落斜坡的球。 该测试旨在探讨计算机代码如何理解它是“看到”的原因以及如何预测接下来会发生什么。

著录项

  • 来源
    《New scientist》 |2021年第3341期|18-18|共1页
  • 作者

    Chris Stokel-Walker;

  • 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

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