Meta’s Video Joint Embedding Predictive Architecture 2 (V-JEPA 2) is a significant advancement in Artificial Intelligence (AI). It helps robots understand and predict physical interactions. The model ...

DiffuseDrive says its physical AI system can build photorealistic data based on existing domain knowledge to speed physical ...

AutoML for Embedded is available now on Visual Studio Code Marketplace and GitHub.

Beijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China ...

The new training method doesn't use sensors or onboard control tweaks, but a single camera that watches the robot's movements and uses visual data.

Ambient sensing uses wireless signals, not cameras, to deliver private, adaptive intelligence to smart homes — quietly ...

Adverse weather isn't just an edge case, but it's also a core challenge for AV developers, according to Digital Divide Data.

The development of a semiconductor system is more complex than just describing functionality in RTL. How ready are AI models ...

In this episode of Today in Tech, host Keith Shaw speaks with Marc Prioleau, executive director of the Overture Maps ...

Discover the strengths and weaknesses of Qwen 3 and Kimi K2, two groundbreaking AI models shaping the future of artificial intelligence.

How do you develop an AI system that perfectly mimics the way humans speak? Researchers at Nagoya University in Japan have ...

Social media giant Meta and concrete maker Amrize had developed an AI model to create new optimal low-carbon concrete mixes.