Recent advances in machine learning have opened transformative avenues for investigating complex problems in string theory and geometry. By integrating sophisticated algorithms with theoretical ...

The original version of this story appeared in Quanta Magazine. String theory captured the hearts and minds of many physicists decades ago because of a beautiful simplicity. Zoom in far enough on a ...

Add Yahoo as a preferred source to see more of our stories on Google. Scientists seeking the secrets of the universe would like to make a model that shows how all of nature’s forces and particles fit ...

In 1980, Stephen Hawking gave his first lecture as Lucasian Professor at the University of Cambridge. The lecture was called "Is the end in sight for theoretical physics?" Forty-five years later, ...

In 1980, Stephen Hawking gave his first lecture as Lucasian Professor at the University of Cambridge. The lecture was called “Is the end in sight for theoretical physics?” Hawking, who later became my ...

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

Scientists seeking the secrets of the universe would like to make a model that shows how all of nature’s forces and particles fit together. It would be nice to do it with Legos. But perhaps a better ...