A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern some of the most complex dynamics found in nature and technology.

A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...

From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...

This new AI acts like a digital scientist, turning messy data into simple rules that explain how the world really works.

For more than 50 years, scientists have sought alternatives to silicon for building molecular electronics. The vision was ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

MELVILLE, N.Y., Dec. 22, 2025 /PRNewswire/ -- AIP Publishing (AIPP) has named Michael Small, Professor of Applied Mathematics ...

Scientists have developed a floating PV digital twin system, trained on data from 155 physical experiments, using a two-tier artificial neural network (ANN) with a high-fidelity model and a ...

Why disruptions now arrive stacked, not isolated—and how continuous reinvention has become the only viable strategy for ...

Researchers in the Department of Theoretical Physics at Tata Institute of Fundamental Research (TIFR), Mumbai, have ...

Balancing electronic and ionic charge carriers in polymer nanofilms significantly improves physical reservoir computing, a ...

As renewable power rapidly reshapes global electricity systems, engineers face a growing challenge: how to operate increasingly complex grids with ...