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# machine learning

## Latest Articles

### AI Overcomes Stumbling Block on Brain-Inspired Hardware

Algorithms that use the brain’s communication signal can now work on analog neuromorphic chips, which closely mimic our energy-efficient brains.

### Machine Learning Becomes a Mathematical Collaborator

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

### 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.

### Any Single Galaxy Reveals the Composition of an Entire Universe

In computer simulations of possible universes, researchers have discovered that a neural network can infer the amount of matter in a whole universe by studying just one of its galaxies.

### 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.