The researchers believe this new device can be scaled up to solve specific problems that are too complex for digital computers to solve, such as simulating room-temperature superconductors. Physicists ...

Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...

Researchers from the Institute of Cosmos Sciences of the University of Barcelona (ICCUB) have developed a new framework based on machine learning ...

As generative AI (GenAI) gains popularity across various fields, OpenAI, led by Sam Altman, has unveiled a new 'reasoning' model. This model has been trained to answer complex questions faster than ...

John Hopfield, one of this year’s winners of the Nobel Prize in Physics, is a true polymath. His career started with probing the physics of solid states during the field’s heyday in the 1950s before ...

At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don’t have much data. Conversely, successful machine learning (ML) tends to rely on large, high quality ...

Axiom Math, which has recruited top talent from Meta, has raised $64 million in seed funding to build an AI math whiz.

China has built an expansive underground laboratory with the ambitious goal of becoming the world's first to solve a long-standing scientific puzzle. The Jiangmen Underground Neutrino Observatory ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...