Multimedia

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.

Quantum gravity could help physicists unite the currently incompatible worlds of quantum mechanics and gravity. In this episode, Monika Schleier-Smith discusses her pioneering experimental approach, using laser-cooled atoms to explore whether gravity could emerge from quantum entanglement.

Despite the hype, it’s been surprisingly challenging to find quantum algorithms that outperform classical ones. In this episode, Ewin Tang discusses her pioneering work in “dequantizing” quantum algorithms — and what it means for the future of quantum computing.

One of the most important events in the history of life on Earth was the emergence of multicellularity. In this episode, Will Ratcliff discusses how his snowflake yeast models provide insight into what drove the transition from single-celled to multicellular organisms.

Steven Strogatz and Janna Levin return for a new season on major scientific and mathematical questions of our time, with 12 all-new episodes and a new format.

Individual cells in the brain light up for specific ideas. These concept neurons, once known as “Jennifer Aniston cells,” help us think, imagine and remember episodes from our lives.