## Latest Articles

### The Scientist Who Developed a New Way to Understand Communication

Mark Braverman has spent his career translating thorny problems into the language of information complexity.

### Will Transformers Take Over Artificial Intelligence?

A simple algorithm that revolutionizes how neural networks approach language is now taking on image classification as well. It may not stop there.

### A New Theory for Systems That Defy Newton’s Third Law

In nonreciprocal systems, where Newton’s third law falls apart, “exceptional points” are helping researchers understand phase transitions and possibly other phenomena.

### How Big Data Carried Graph Theory Into New Dimensions

Researchers are turning to the mathematics of higher-order interactions to better model the complex connections within their data.

### Mathematicians Resurrect Hilbert’s 13th Problem

Long considered solved, David Hilbert’s question about seventh-degree polynomials is leading researchers to a new web of mathematical connections.

### How Close Are Computers to Automating Mathematical Reasoning?

AI tools are shaping next-generation theorem provers, and with them the relationship between math and machine.

### How and Why Computers Roll Loaded Dice

Researchers are one step closer to injecting probability into deterministic machines.

### Symbolic Mathematics Finally Yields to Neural Networks

After translating some of math’s complicated equations, researchers have created an AI system that they hope will answer even bigger questions.

### Playing Hide-and-Seek, Machines Invent New Tools

After millions of games, machine learning algorithms found creative solutions and unexpected new strategies that could transfer to the real world.