MIT researchers developed a technique to combine robotics training data across domains, modalities, and tasks using generative AI models. They create a combined strategy from several different ...

Essentially, where Large Language Models (LLMs) like ChatGPT can ingest billions of words of human writing, and teach themselves to write and code – and even reason, for god's sake – at a level ...

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

Russ Tedrake likes to present an eye-opener looking into what's possible now with robotics, and what is likely to be possible in the near future, as we see AI robots vault into our lives. “This is a ...

Packing the car for a road trip might seem like a straightforward enough task, but it’s never been an easy one for robots to learn—until a new study turned the robot training over to artificial ...

The study of natural and artificial intelligence in physical agents has a great interest both from a scientific and technological point of view. On the one ...

Training robots to execute tasks in the real world requires data — the more, the better. The problem is that creating these datasets takes a lot of time and effort, and methods don’t scale well.

(Nanowerk News) A new, potentially revolutionary artificial intelligence framework called “Blackout Diffusion” generates images from a completely empty picture, meaning that the machine-learning ...

Xiaomi is best known for smartphones, smart home gear, and the occasional electric vehicle update. Now it wants a place in robotics research too. The company has announced Xiaomi-Robotics-0, an ...