Why today’s AI systems struggle with consistency and how emerging world models aim to give machines a steady grasp of space ...

The work is supported by a $4.5 million pre-seed round led by Kindred Ventures, with participation from Amplify.LA, Garage Capital, Northside Ventures, Vital Stage, East Sunshine, and notable angel ...

Instead, physical AI needs to orchestrate a blend of on-device processing for speed and cloud computation for long-term ...

Montage of real world scenarios generated by Gatik's Arena simulation platform for use in developing and training autonomous delivery trucks. Autonomous middle-mile delivery trucking company Gatik has ...

While large language models (LLMs) have mastered text (and other modalities to some extent), they lack the physical "common sense" to operate in dynamic, real-world environments. This has limited the ...

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 ...

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 ...

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.

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 ...