Hydrology experts at the U.S. Department of Energy's (DOE's) Oak Ridge National Laboratory (ORNL) used artificial ...

Harvard University physicists have created a simplified mathematical model to study how neural networks learn, using statistical physics to uncover underlying patterns. The approach, likened to early ...

Machine-learning-augmented detection uses standard measurements to distinguish leaks from normal behavior on natural ...

Urea is an extremely important chemical, especially for fertilizers. But, making urea is energy intensive and relies heavily ...

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A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

Tiny grains of dust floating inside a glowing plasma should, according to decades of theory, push and pull on each other in ...

Now, artificial intelligence (AI) tools are providing powerful new ways to address long-standing problems in physics. “The ...

About 625 junior, middle and high school female and male students from 18 schools across the state have signed up to learn ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

Physicists have taken a major step toward using AI not just to analyze data, but to uncover entirely new laws of nature. By ...

Nvidia has announced a new family of open source AI models, dubbed 'Ising,' designed to accelerate quantum computing by improving calibration and error correction.