Machine learning

Artificial intelligence software is designing novel experimental protocols that improve upon the work of human physicists, although the humans are still “doing a lot of baby-sitting.”

Fundamental technique lets researchers use a big, expensive “teacher” model to train a “student” model for less.

Image generators are designed to mimic their training data, so where does their apparent creativity come from? A recent study suggests that it’s an inevitable by-product of their architecture.

Martin Schrimpf is crafting bespoke AI models that can induce control over high-level brain activity.

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.

Technology has forever served as science’s toolbox. But now that AI is being used to develop questions and methods as well, some scientists wonder what their role is going to become.

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

AI researchers are using techniques inspired by neuroscience to study how language models work — and to reveal how perplexing they can be.

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