Phys.org

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
Frontiers

Advancing Machine Learning for Space Weather Forecasting: Integrating Solar Observations, Geomagnetic Storm Prediction, and GNSS Ionospheric Forecasting

Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...
Science Daily

AI could uncover new physics faster but there’s a surprising catch

Scientists found that transfer learning can make the search for new physics in the universe much faster, slashing the need ...

To discover new physics, AI may need to 'unlearn' the old one

A study in the Journal of Cosmology and Astroparticle Physics explores how a machine-learning strategy known as transfer ...
Drexel University

Learning Physics Can Derail Some Students, New Research From Drexel Shows the Best Way to Keep Them on Track

For many undergraduate students, exploring the complexities of physics for the first time, from wading through advanced mathematics, to absorbing information in a large lecture format, can be a ...
Hosted on MSN

Learning physics can derail some students: New research shows the best way to keep them on track

For many undergraduate students, exploring the complexities of physics for the first time, from wading through advanced mathematics, to absorbing information in a large lecture format, can be a ...