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 ...

By combining physics-based methods with machine learning, a team at the Institute of Thermodynamics and Sustainable ...

A research team has studied the development of the Shanghai Typhoon Model from a traditional physics-based regional model ...

Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of ...

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 ...

By combining physics-based methods with machine learning, a team at the Institute of Thermodynamics and Sustainable Propulsion Systems at TU Graz is ...

Overall, the application of the Variational Autoencoder not only enhances the analytical capabilities of quantum simulations but also offers new perspectives for understanding the physical properties ...

In developing drugs using a platform that joins physics with machine learning, Schrödinger sees more than a passing resemblance to the studio whose Toy Story and other computer-generated movies ...

33,658 people played the daily Crossword recently. Can you solve it faster than others?33,658 people played the daily Crossword recently. Can you solve it faster than others?

A breakthrough in nuclear physics at Florida Polytechnic University has created an advanced machine learning model that predicts nuclear binding energies with unprecedented accuracy, helping ...