Overview:  Explore the leading Physical AI development platforms used for robot simulation, reinforcement learning, synthetic ...

Robot skill library ASPIRE — released June 29 by NVIDIA and collaborators — gives robots persistent memory by storing every debugging fix as a named, reusable code pattern. It pushed bimanual handover ...

After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...

Dissecting protective versus detrimental immune responses uncovers biomarkers and mechanisms that can inform the rational design and evaluation of live attenuated vaccines against African swine fever ...

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...

France’s OVHcloud bets on frontier AI as Europe seeks alternatives to US models The company says the cost of training frontier AI models has fallen sharply, but analysts say the bigger challenge may ...

Trust in elite institutions is on the wane globally. Building public participation into research and government advice can turn the tide.

Unlearned parameters exhibit a correlation with retrained parameters via contraction mapping that facilitates the approximation of unlearned parameters with minimal gradient reliance. Tao Huang, ...

Root Mean Square Error,Convolutional Neural Network,Feature Maps,Robotic System,Image Segmentation,Segmentation Accuracy,Adaptive Control,Attention Mechanism,Global Features,Local Features,Long ...