Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

To reliably complete household chores, assemble products and tackle other manual tasks, robots should be able to adapt their ...

Following the idea developed with the programming language CUDA—letting GPUs be used for applications other than graphic ...

This multi-objective setup encourages natural walking behavior rather than rigid or inefficient movement. A four-stage ...

The IFR has made its predictions of the top 5 robotics industry trends for 2026, including an increased focus on ...

Edge Machine Vision Technologies, Market Dynamics, and Emerging Opportunities Driving Innovation Across Automotive, ...

AI-driven platforms increasingly assist farmers in choosing when to plant, irrigate, fertilize, or harvest. These systems ...

A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and ...

Hair transplantation has emerged as one of the most rapidly advancing and widely practiced fields within aesthetic medicine ...

Chintala's professional trajectory took off in 2014 when he joined Meta (then Facebook) as a software engineer at the ...

Soumith Chintala joined Mira Murati’s Thinking Machines Lab as a member of the technical staff after his 11-year stint at ...

Skild AI raises $1.4B to expand its omni bodied robotics platform and accelerate deployment across global enterprise ...