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 ...

The origin of heavy elements in our universe is theorized to be the result of neutron star collisions, which produce conditions hot and dense enough for free neutrons to merge with atomic nuclei and ...

Artificial intelligence has moved from crunching physics data in the background to actively proposing new theories and ...

The following General Student Outcomes for the B.S. degree in Physics and Radiological Health Physics Option indicate what each curriculum will prepare graduates to know and do, with an appropriate ...

The Nobel Prize in physics has been awarded to John J. Hopfield of Princeton University and Geoffrey E. Hinton of the University of Toronto for discoveries and inventions that formed the building ...

Don’t know your convolutional neural networks from your boosted decision trees? Symmetry is here to help. It’s time for some deep learning. Check out this list to pick up some new terminology—and ...

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 ...

In The Physics Teacher, researchers explore the goal of culturally relevant pedagogy, which is to center students' cultural resources as a bridge to learning. It relies on a framework of academic ...