Latest Articles

In the Quantum World, Even Points of View Are Uncertain

November 22, 2024

The reference frames from which observers view quantum events can themselves have multiple possible locations at once — an insight with potentially major ramifications.

What Can Birdsong Teach Us About Human Language?

November 21, 2024

We often consider spoken language to be a feature that distinguishes humans from other forms of animal life. Brain research, however, suggests that other creatures — including certain birds — share some of our neural circuitry related to language. In this episode, co-host Janna Levin explores the origins and underlying mechanisms of human speech and birdsong with neurobiologist and geneticist Erich Jarvis.

All Life on Earth Today Descended From a Single Cell. Meet LUCA.

November 20, 2024

The clearest picture yet of our “last universal common ancestor” suggests it was a relatively complex organism living 4.2 billion years ago, a time long considered too harsh for life to flourish.

Q&A

Mathematical Thinking Isn’t What You Think It Is

November 18, 2024

The mathematician David Bessis claims that everyone is capable of, and can benefit greatly from, mathematical thinking.

Invisible ink being written and revealed

How Public Key Cryptography Really Works, Using Only Simple Math

The security system that underlies the internet makes use of a curious fact: You can broadcast part of your encryption to make your information much more secure.

The Cosmos Teems with Complex Organic Molecules

November 13, 2024

Wherever astronomers look, they see life’s raw materials.

New Elliptic Curve Breaks 18-Year-Old Record

November 11, 2024

Two mathematicians have renewed a debate about the fundamental nature of some of math’s most important equations.

Debate May Help AI Models Converge on Truth

November 8, 2024

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

How Is AI Changing the Science of Prediction?

November 7, 2024

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.

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