Find a teacher training course right here in the city that can fit around your life and family – and get funding to study to ...

An IIT Roorkee graduate and national para swimmer tells about friendship, discipline and independence. This is not a story ...

Artificial intelligence is sliding into physics classrooms so smoothly that it can feel like a harmless upgrade rather than a ...

On October 8, 2024, the field of physics was plunged into controversy. That day, the Nobel Prize in Physics was awarded for discoveries not involving black holes, cosmology, or strange new subatomic ...

The prescription was everywhere as the full extent of academic damage wrought by the pandemic first became clear: Set up tutoring programs to catch students up. Now, though, several evaluations of ...

Tutoring is one of the most effective tools for improving a child’s education, yet very few kids in the U.S. receive it. A 2023 survey of the nation’s largest school districts found that fewer than 10 ...

The 2025 Nobel prize in physics has been awarded to John Clarke, Michel Devoret and John Martinis for their work on showing how quantum particles can mysteriously tunnel through matter, a process that ...

UC Santa Barbara physicists John Martinis and Michel Devoret have been awarded the 2025 Nobel Prize in Physics. Selected for the honor alongside UC Berkeley physicist and former advisor John Clarke, ...

Three scientists won the Nobel Prize in physics Tuesday for research on the strange behavior of subatomic particles called quantum tunneling that enabled the ultra-sensitive measurements achieved by ...

The 2025 Nobel Prize in physics has been awarded to a trio of scientists – a Briton, a Frenchman and an American – for their ground-breaking discoveries in the field of quantum mechanics. John Clarke, ...

For the first time, scientists have observed electrons in graphene behaving like a nearly perfect quantum fluid, challenging a long-standing puzzle in physics. By creating ultra-clean samples, the ...

Physicists have used a machine-learning method to identify surprising new twists on the non-reciprocal forces governing a many-body system. The work is one of the relatively few instances of using AI ...