What's up in

# computer science

## Latest Articles

### Tiny Language Models Come of Age

To better understand how neural networks learn to simulate writing, researchers trained simpler versions on synthetic children’s stories.

### The Physical Process That Powers a New Type of Generative AI

Some modern image generators rely on the principles of diffusion to create images. Alternatives based on the process behind the distribution of charged particles may yield even better results.

### Machine Learning Aids Classical Modeling of Quantum Systems

By using “classical shadows,” ordinary computers can beat quantum computers at the tricky task of understanding quantum behaviors.

### Alan Turing and the Power of Negative Thinking

Mathematical proofs based on a technique called diagonalization can be relentlessly contrarian, but they help reveal the limits of algorithms.

### Why Mathematical Proof Is a Social Compact

Number theorist Andrew Granville on what mathematics really is — and why objectivity is never quite within reach.

### New Codes Could Make Quantum Computing 10 Times More Efficient

Quantum computing is still really, really hard. But the rise of a powerful class of error-correcting codes suggests that the task might be slightly more feasible than many feared.

### The AI Tools Making Images Look Better

Researchers have discovered ways around a fundamental trade-off between accuracy and beauty in digital images.

### Complexity Theory’s 50-Year Journey to the Limits of Knowledge

How hard is it to prove that problems are hard to solve? Meta-complexity theorists have been asking questions like this for decades. A string of recent results has started to deliver answers.

### Risky Giant Steps Can Solve Optimization Problems Faster

New results break with decades of conventional wisdom for the gradient descent algorithm.