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

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

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 ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Updated funding amount SANTA CLARA, CA / ACCESS Newswire / February 4, 2026 / Expert Intelligence™, a startup building AI systems that automate expert decision-making in regulated laboratory ...

Personnel won't be able to fully process all the data available on the modern battlefield. That's where artificial ...

Unlike traditional testing, which requires hundreds or thousands of charge – discharge cycles, the model can estimate a new ...

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, ...

Discover what sets human intelligence apart in this artificial intelligence comparison. Learn why human vs AI reveals ...

You don’t have to go it alone when searching for and maintaining the perfect batch. Through machine learning and AI-based batch control, the arduous search becomes easier to realize.