Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

A video making its rounds on social media shows an engineer from a startup called Skild AI taking a chainsaw to the limbs of a robot dog.

With RoboBallet, the complexity of computation also grew with the complexity of the system, but at a far slower rate. (The computations grew linearly with the growing number of tasks and obstacles, ...

A single AI model trained to control numerous robotic bodies can operate unfamiliar hardware and adapt eerily well to serious ...

KAIST research team's independently developed humanoid robot boasts world-class driving performance, reaching speeds of 12km/h, along with excellent stability, maintaining balance even with its eyes ...

Roboticist Karen Liu combines machine learning and animation to teach robots to move and respond more like humans.

Explore the future of robotics as AI-powered humanoid robots master complex tasks, adapt in real time, and redefine ...

Tesla's sales are down in the U.S., they're down in Europe, they aren't exactly taking off in India, the Cybertruck has been a flop and CEO Elon Musk is the most disliked man in America. At a normal ...

Atlas, the humanoid robot famous for its parkour and dance routines, has recently begun demonstrating something altogether more subtle but also a lot more significant: It has learned to both walk and ...

One of the biggest hurdles in developing humanoid robots is the sheer amount of training data required. Teaching machines to act like humans demands massive video datasets. Collecting that data is ...

Chatbots have rapidly advanced in recent years, and so have the large language models, or LLMs, powering them. LLMs use machine learning algorithms trained on vast amounts of text data. Many ...