If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work.

By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

Scientists achieve major robotics milestone as robot learns 1,000 different physical tasks in single day, potentially ...

What Are Non-Human Identities in Cybersecurity? Non-Human Identities (NHIs) might sound like a concept from a science fiction novel, but they are a crucial component. These unique “machine identities” ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

Geoffrey Hinton, the so-called “Godfather of AI” for his pioneering work in machine learning, has blasted Donald Trump’s ...

Pharmaceutical Separation Science Session Day two of HPLC 2025 concluded with a session on pharmaceutical separations chaired ...

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

Kilter AS has launched the AX-1 system, which uses machine learning and autonomous robotics to provide targeted weed control ...