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 ...

People use their bodies—not just their brains—to think. So the MIT Project on Embodied Education brings movement to the ...

The integration of deep learning techniques and physics-driven designs is reforming the way we address inverse problems, in which accurate physical properties are extracted from complex observations.

The 16-part course, currently in its pilot phase, is catered to high school students but available to anyone interested in learning about the fundamental questions in particle physics. Jeff Wiener ...

Rose Yu has a plan for how to make AI better, faster and smarter — and it’s already yielding results. When she was 10 years old, Rose Yu got a birthday present that would change her life — and, ...

Avoiding over-pressurization in subsurface reservoirs is critical for applications like CO\(_2\) sequestration and wastewater injection. Managing the pressures by controlling injection/extraction are ...

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 ...

Two pioneers of artificial intelligence—John Hopfield and Geoffrey Hinton—won the Nobel Prize in physics Tuesday for helping create the building blocks of machine learning that is revolutionizing the ...

The popular image of science is not about objects in front of us but about galaxies far, far away and seeming miracles—sometimes destructive, sometimes not—here on Earth. Please continue to look to ...