AI advances are rapidly speeding up the process of training robots, and helping them do new tasks almost instantly.

如果感觉 GitBook 阅读体验不好，也可以切换回 Github，看第一版。 本项目写作时间很短，所以肯定有疏漏。因此放在这里作为一个开源项目，大家可以随时修改并提交 Pull Request；有问题也可以提 Issues。 目前本项目只有中文版本，但似乎有一些非中文读者希望能 ...

You’ll learn how to make the AI-integrated PiDog do things, showing how virtual programming translates to real-world objects.

Researchers from John Hopkins University and Stanford University built a training model using video recordings of human-controlled robotic arms performing surgical tasks. By learning to imitate ...

We humans excel at generalization. If you taught a toddler to identify the color red by showing her a red ball, a red truck and a red rose, she will most likely correctly identify the color of a ...

Active learning takes advantage of control authority to improve data as it is being acquired. Robotics applications are particularly sensitive to how data is taken. For instance, machine vision is ...

This is today's edition of The Download, our weekday newsletter that provides a daily dose of what's going on in the world of ...

Today it is pretty easy to build a robot with an onboard camera and have fun manually driving through that first-person view. But builders with dreams of autonomy quickly learn there is a lot of ...

Nvidia CEO Jensen Huang says the new family of foundational AI models was trained on 20 million hours of “humans walking, ...