Researchers are using machine learning, symbolic regression, and high-performance computing to explore and classify string ...

AI's role in predictive analytics for energy savings helps Smart Cities manage resources more efficiently, say experts ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and machine learning (ML) are making waves with how they're increasing ...

Lu is in the vanguard of a movement he refers to as “Physics-Informed Machine Learning.” It is a new way of working with data that infuses traditional data science and machine learning/ AI techniques ...

Improving hurricane modeling with physics-informed machine learning Algorithm reconstructs wind fields quickly, accurately, and with less observational data Date: November 19, 2024 Source ...

“Unlike traditional numerical models, our model employs an advanced physics-informed machine learning framework,” said author Feng Hu.

With work on machine learning that uses artificial neural networks, John J. Hopfield and Geoffrey E. Hinton “showed a completely new way for us to use computers,” the committee said.