DeepMind, Google's artificial intelligence subsidiary in London, has developed a self-training vision computer that generates "a full 3D model of a scene from just a handful of 2D snapshots", according to its chief executive.
位于伦敦的谷歌人工智能子公司DeepMind,近日开发了一款自我训练的视觉计算机。据其首席执行官介绍,这款计算机“仅利用几张2D快照就能生成一个完整的3D场景模型”。
The system, called the Generative Query Network, can then imagine and render the scene from any angle, said Demis Hassabis.
杰米斯·哈萨比斯表示,这套被称为“生成式查询网络”的系统可以从任何角度想象和呈现场景。
GQN is a general-purpose system with a vast range of potential applications, from robotic vision to virtual reality simulation.
GQN是一个通用系统,具有从机器人视觉到虚拟现实模拟的广泛的应用潜力。
"Remarkably, the DeepMind scientists developed a system that relies only on inputs from its own image sensors -- and that learns autonomously and without human supervision," said Matthias Zwicker, a computer scientist at the University of Maryland.
马里兰大学的计算机科学家马蒂亚斯·茨威格称:“值得一提的是,DeepMind的科学家开发了只依赖自身图像传感器所输入信息,就可以自主学习的系统,且无需人类监督。”
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