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.

Parts of the brain not traditionally associated with learning science become active when people are confronted with solving physics problems, a new study shows. The researchers, led by Eric Brewe, PhD ...

If there’s one thing that unites pretty much all of us who like physics, it’s that we’ve all sat through physics classes at some point in our lives. We all know teachers and lecturers who’ve been ...

Many computer vision techniques infer properties of our physical world from images. Although images are formed through the physics of light and mechanics, computer vision techniques are typically data ...

A new study showed that, when confronted with physics problems, new parts of a student's brain are utilized after receiving instruction in the topic. Parts of the brain not traditionally associated ...