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One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer science.

Slight changes in the number, shape, efficiency and interconnectedness of organelles in the cells of flight muscles provide extra energy for birds’ continent-spanning feats.

Turbulence is a notoriously difficult phenomenon to study. Mathematicians are now starting to untangle it at its smallest scales.

Geometry may have its origins thousands of years ago in ancient land surveying, but it has also had a surprising impact on modern physics. In the latest episode of The Joy of Why, Yang-Hui He explores geometry’s evolution and its future potential through AI.

AI may sound like a human, but that doesn’t mean that AI learns like a human. In this episode, Ellie Pavlick explains why understanding how LLMs can process language could unlock deeper insights into both AI and the human mind.

Mathematicians have started to prepare for a profound shift in what it means to do math.

Neural networks power today’s AI boom. To understand them, all we need is a map, a cat and a few thousand dimensions.

The brain’s astounding cellular diversity and networked complexity could show how to make AI better.

Exploring the distant universe, the insides of cells, the abstractions of math, the complexity of information itself and much more, The Quanta Podcast will be a tour of the frontier between the known and the unknown.