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 ...
EurekAlert!

Transfer learning in motor imagery brain computer interface: a review

Mingai Li, received her B.Sc. degree and M.Sc. degree from Daqing Petroleum Institute, Heilongjiang, China, in 1987 and 1990 respectively, and Ph.D. degree from Beijing University of Technology, ...
EurekAlert!

Transfer learning-enhanced physics-informed neural network (TLE-PINN): A breakthrough in melt pool prediction for laser melting

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

AI Learned the Rules of the Universe and That Became a Problem

AI could accelerate the hunt for new physics, but sometimes it knows too much to see what’s right in front of it.
techtimes

Transfer Learning Slashes Cosmology AI Costs: Neutrino Mass Degeneracy Triggers Negative Transfer

A strategy borrowed from generative AI — train cheaply on the familiar, then fine-tune on the hard problem — can cut the number of expensive physics simulations needed by nearly a factor of ten. But a ...
ascopubs.org

A transfer learning-based graph neural network model using mIF images to predict neoadjuvant immunochemotherapy response in patients with gastrointestinal cancer.

Natural language processing for automated breast cancer recurrence detection and classification in computed tomography reports. This is an ASCO Meeting Abstract from the 2024 ASCO Annual Meeting I.