Ultralytics, the company behind the YOLO family of object detection models, today introduced Ultralytics Platform, a comprehensive end-to-end vision AI platform featuring powerful SAM-powered smart ...

MIT researchers have spent more than a decade studying techniques that enable robots to find and manipulate hidden objects by "seeing" through obstacles. Their methods utilize surface-penetrating ...

SAN JOSE, Calif., March 20, 2026 /CNW/ -- For robots to operate reliably in the real world, they must train in environments that accurately represent it. This is the core challenge behind ...

A recent study published in Perception suggests that playing outdoor sports improves peripheral color detection. The findings ...

The new platform integrates the NVIDIA Physical AI Data Factory Blueprint into Nebius’ infrastructure to address two core bottlenecks: fragmented tooling/infrastructure and the scarcity of ...

A US computer vision firm presented its role in making humanoid robots safer and ...

This is the core challenge behind Real2Sim—and the focus of XGRIDS' presence at GTC 2026 (March 16–19, San Jose). XGRIDS' spatial intelligence solution now supports NVIDIA Omniverse NuRec for ...

A youth engineering team from Russia has developed an algorithm based on artificial intelligence that allows autonomous ...

Indian American AI researcher to collaborate intimately with xAI and SpaceX teams on more advanced artificial intelligence ...

The Atlas will expand known evolutionary genetic diversity by 100x, collecting novel genomic data from over 100 million new ...

Latent spaces are abstract, high-dimensional areas within neural networks where patterns and relationships are encoded, but not readily interpretable by humans. Although latent space studies are still ...