Artificial intelligence

Researchers got a better look at the thoughts of chatbots, amateurs learned exactly how complicated simple systems can be, and quantum computers passed an essential milestone.

Biologists used artificial intelligence to make discoveries about molecules and the brain, and overturned long-held assumptions about the immune system and RNA.

Physicists discovered strange supersolids, constructed new kinds of superconductors, and continued to make the case that the cosmos is far weirder than anyone suspected.

Landmark results in geometry and number theory marked an exciting year for mathematics, at a time when advances in artificial intelligence are starting to transform the subject’s future.

While some fret about technology’s social impacts, Raj Reddy still believes in the power of artificial intelligence to improve lives.

How do we know if a large language model is lying? Letting AI systems argue with each other may help expose the truth.

With lots of data, a strong model and statistical thinking, scientists can make predictions about all sorts of complex phenomena. Today, this practice is evolving to harness the power of machine learning and massive datasets. In this episode, co-host Steven Strogatz speaks with statistician Emmanuel Candès about black boxes, uncertainty and the power of inductive reasoning.

To better understand machine learning algorithms, Lenka Zdeborová treats them like physical materials.

Machines work with words by embedding their relationships with other words in a string of numbers.