Nature

Physics-Informed Machine Learning for Personalized Disease Prediction, Prevention, and Management

This Collection supports and amplifies research related to SDG3, SDG9 and SDG10. Physics-Informed Machine Learning (PI-ML) combines principles from physics- and biology-based modeling with data-driven ...
Science Daily

Improving hurricane modeling with physics-informed machine learning

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...
Eureka

EPFL Researchers Develop Breakthrough Physics‑Informed AI Algorithm

A team of EPFL researchers has developed an AI algorithm capable of modelling complex dynamical processes while adhering to the laws of physics—specifically Newton’s third law.
Symmetry Magazine

Tomorrow’s physics test: machine learning

Machine learning is becoming an essential part of a physicist’s toolkit. How should new students learn to use it? When Radha Mastandrea started her undergraduate physics program at MIT in 2015, she ...
NPR

Nobel Prize in physics awarded to 2 scientists for discoveries in machine learning

STOCKHOLM — John Hopfield and Geoffrey Hinton were awarded the Nobel Prize in physics Tuesday for discoveries and inventions that formed the building blocks of machine learning. "This year's two Nobel ...
Newsweek

Nobel Prize Awarded to Machine Learning Scientists: ChatGPT Responds

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 ...
CNN

‘Godfather of AI’ shares Nobel Prize in physics for work on machine learning

The 2024 Nobel Prize in physics has been awarded to John Hopfield and Geoffrey Hinton for their fundamental discoveries in machine learning, which paved the way for how artificial intelligence is used ...