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# computer science

## Latest Articles

### Computer Scientists Prove Why Bigger Neural Networks Do Better

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

### Quantum Complexity Tamed by Machine Learning

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.

### Machine Learning Gets a Quantum Speedup

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

### Researchers Build AI That Builds AI

By using hypernetworks, researchers can now preemptively fine-tune artificial neural networks, saving some of the time and expense of training.

### Computer Scientists Eliminate Pesky Quantum Computations

For years, intermediate measurements made it hard to quantify the complexity of quantum algorithms. New work establishes that those measurements aren’t necessary after all.

### Qubits Can Be as Safe as Bits, Researchers Show

A new result shows that quantum information can theoretically be protected from errors just as well as classical information can.

### The Year in Math and Computer Science

Mathematicians and computer scientists answered major questions in topology, set theory and even physics, even as computers continued to grow more capable.

### What Does It Mean for AI to Understand?

It’s simple enough for AI to seem to comprehend data, but devising a true test of a machine’s knowledge has proved difficult.

### Mathematician Hurls Structure and Disorder Into Century-Old Problem

A new paper shows how to create longer disordered strings than mathematicians had thought possible, proving that a well-known recent conjecture is “spectacularly wrong.”