Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

The observational track of Typhoon "Danas" (solid line) along with forecasted paths (dashed lines) depicted on the FY-4B satellite visible light imagery at 08:00 BST on July 6, 2025. The dashed lines ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Parisa Khodabakhshi is an assistant professor of mechanical engineering and mechanics in Lehigh University’s P.C. Rossin College of Engineering and Applied Science. Prior to joining the Lehigh faculty ...

Iambic Therapeutics, a San Diego–based start-up that harnesses physics and artificial intelligence for drug discovery, is ...

For decades, scientists have relied on structure to understand protein function. Tools like AlphaFold have revolutionized how researchers predict and design folded proteins, allowing for new ...

Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...

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