IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

Advances in machine learning (ML) and deep learning (DL) are undoubtedly enabling significant breakthroughs in all areas of science and technology. ML/DL models, however, do not necessarily obey the ...

Two scientists have been awarded the Nobel Prize in Physics “for foundational discoveries and inventions that enable machine learning with artificial neural networks.” John Hopfield, an emeritus ...

Machine learning can get a boost from quantum physics. On certain types of machine learning tasks, quantum computers have an exponential advantage over standard computation, scientists report in the ...

John Hopfield and Geoffrey Hinton were awarded the 2024 Nobel Prize in physics on Tuesday for their contributions to machine learning. Their research, which draws from statistical physics, helped ...

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 ...

Statepoint When many of us think of physics, we think of high-level science courses taught in high school and college. The truth is that not only can you teach your child the basic principles of this ...

Participants in a Physics Summer Camp, designed for high school students with Autism Spectrum Disorder, take a tour of Mississippi State’s Raspet Flight Research Laboratory. Each day, campers are ...

"Machine learning algorithm helps unravel the physics underlying quantum systems." ScienceDaily. www.sciencedaily.com / releases / 2021 / 04 / 210429112412.htm (accessed October 22, 2025).

In his years as a physics teacher, students often asked Mark Whalley why they had to learn the subject when most of them would never directly use it in their careers. Having never been satisfied with ...