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.

Federica Stufano, senior principal analyst at Gartner, said that, particularly as robots-as-a-service (RaaS) models, which ...

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 ...

The massive, donut-shaped machine, which is also the largest and most powerful tokamak experiment, made headlines when it achieved 69 megajoules (MJ) of energy during a six-second pulse during its ...

The optoCONTROL CLS1000 series of fibre optic sensors from MicroEpsilon reliably and precisely detect oil leaks in the event ...

As technology continues to evolve, libraries are beginning to adopt robotic systems to manage and catalog their vast archives. These robot librarians are transforming the way libraries operate, ...

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 ...

Fortunately, modern packaging solutions with advanced technologies and smart systems can increase the efficiency of packaging ...

Colin Wells of Robotic Automation™ reflects on nearly 40 years of industry experience and which lessons were learned.