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

Researchers at the University of California San Diego and the Allen Institute for AI have built a climate emulator that ...

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 ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a ...

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

Designing materials that steer light is a slow kind of trial and error. Each candidate structure must be tested in computer ...

See more of our trusted coverage when you search. Prefer Newsweek on Google to see more of our trusted coverage when you search. John Hopfield and Geoffrey Hinton were awarded the 2024 Nobel Prize in ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Blood pressure is a key metric of cardiovascular health, but standard methods for measuring it rely on occasional readings ...

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 ...