Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Power remains one of the most significant bottlenecks to the real-world deployment of humanoids across potentially all industries. Limitations in battery energy density, compounded by the humanoid ...

Explore the future of robotics as AI-powered humanoid robots master complex tasks, adapt in real time, and redefine ...

The graceful dance on stage and the 'competitive showdown' in the arena have become the 'show-off moments' for robots, and now these intelligent entities are quietly entering factory workshops, ...

SAN JOSE, Calif., Sept. 23, 2025 (GLOBE NEWSWIRE) -- zSpace, Inc. (NASDAQ: ZSPC), a leader in immersive augmented reality (AR) solutions for education, today announced the release of three new ...

China has unveiled a high-precision robot for fusion reactor maintenance, advancing technology for future domestic and ...

After four years of hype, Optimus shows some progress, yet the humanoid struggles to prove it's worth beyond staged demos.

Now, a solution called JetsonThor has emerged, acting like a 'super brain' for robots, granting them the ability to 'think in real-time'! The core of this technology lies in NVIDIA's next-generation ...

Locus Robotics provided the DSV team with the flexible, cost-effective technology that they sought; one that could scale ...

At Enidine, products are designed to effectively isolate vibrations and absorb energy. Through innovative solutions that ...