Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

Valve’s next Steam Machine should add suspend and resume plus faster boot, so you start playing in seconds without constant tweaks.

AMD CEO Lisa Su says Microsoft aims to launch its next generation of Xbox in 2027. The information came in connection with ...

In A Nutshell Researchers achieved 94% accuracy in identifying Alzheimer’s disease by analyzing bacterial infections, ...

Engineered DNA can store massive amounts of data while also encrypting it, opening the door to ultra-secure, long-term ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine learning framework. Researchers in Physics and Computer Science at the University ...

Professor James Rondinelli collaborated with IBM to help turn simulations into potential practical chip designs.

Speaking at the World Governments Summit 2026, Hale said the next phase of digital health will be driven by continuous biometric data combined with AI and machine learning, enabling people and ...

Researchers from the Universidad de Valladolid in Spain, the Cardiff University Brain Research Imaging Center and University ...