Archive

Two recent collaborations between mathematicians and DeepMind demonstrate the potential of machine learning to help researchers generate new mathematical conjectures.

The strong force holds protons and neutrons together, but the theory behind it is largely inscrutable. Two new approaches show how it works.

Two researchers show that for neural networks to be able to remember better, they need far more parameters than previously thought.

Researchers have mapped hundreds of semantic categories to the tiny bits of the cortex that represent them in our thoughts and perceptions. What they discovered might change our view of memory.

Three mathematicians show, for the first time, how to form a square with the same area as a circle by cutting them into interchangeable pieces that can be visualized.

If only scientists understood exactly how electrons act in molecules, they’d be able to predict the behavior of everything from experimental drugs to high-temperature superconductors. Following decades of physics-based insights, artificial intelligence systems are taking the next leap.

Two teams have shown how quantum approaches can solve problems faster than classical computers, bringing physics and computer science closer together.

A team of mathematicians has solved an important question about how solutions to polynomial equations relate to sophisticated geometric objects called Shimura varieties.

Large blocks of genes conserved through hundreds of millions of years of evolution hint at how the first animal chromosomes came to be.