Duke University engineers are using artificial intelligence to do something scientists have chased for centuries; turn messy, real-world motion into simple rules you can write down. The work comes ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

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Robotics startup 1X Technologies has developed a new generative model that can make it much more efficient to train robotics systems in simulation. The model, which the company announced in a new blog ...

Large language model AIs might seem smart on a surface level but they struggle to actually understand the real world and model it accurately, a new study finds. When you purchase through links on our ...

While no one has figured out how to make money from generative artificial intelligence, that hasn’t stopped Google DeepMind from pushing the boundaries of what’s possible with a big pile of inference.

Over the last few months, many AI boosters have been increasingly interested in generative video models and their seeming ability to show at least limited emergent knowledge of the physical properties ...

Artificial intelligence tools such as ChatGPT have been touted for their promise to alleviate clinician workload by triaging patients, taking medical histories and even providing preliminary diagnoses ...

In recent years, we’ve become used to seeing text, pictures, videos and even computer code generated by AI. But what if it could go a step further and create entire worlds? Well, for developers ...