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 ...

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 ...

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 ...

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

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

Below is a possible Microstation 3D modeling case study for a Pack battery workshop: A new energy company plans to build a new Pack battery workshop and requires 3D modeling to optimize the workshop ...

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

Originally incubated within a Chery Automobile factory, EFORT sought partnerships in Italy early in its development. Between 2015 and 2017, the company invested in and acquired four Italian robotics ...