Even in the best-case scenario, it’s incredibly disruptive. And this is where you’ve been quoted saying that A.I. will disrupt 50 percent of entry-level white-collar jobs. On a five-year time horizon, ...

Recent supply shocks — driven by geopolitics, sanctions risk and pandemic-like disruptions — have highlighted the cost of excessive dependence. For fabs, the risk is no longer theoretical: equipment ...

As AI-generated deepfakes grow more realistic, they pose new threats to scientific integrity. This article unpacks how ...

If you’ve been tracking recent buzz in the hydrogen world, you’ve probably noticed one big sticking point: the cost and ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...

Thiaw, D. , Wade, A. , Sall, M. , Diouf, S. and Dieye, G. (2026) Utilization of Eggshells Waste as an Additive to Improve the Mechanical Properties of Clays. Journal of Minerals and Materials ...

Zhipu AI has become the first Chinese company to train a major AI model entirely on Huawei's domestic chips, releasing the ...