2014 Fields Medal and Nevanlinna Prize Winners Announced

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Cosmic Paradox Reveals the Awful Consequence of an Observer-Free Universe

November 19, 2025

Encouraged by successes in understanding black holes, theoretical physicists are applying what they’ve learned to whole universes. What they’re finding has them questioning fundamental assumptions about how physics ought to be done.

Old ‘Ghost’ Theory of Quantum Gravity Makes a Comeback

November 17, 2025

Has the secret to understanding gravity been hiding in plain sight for nearly 50 years?

Mixing Is the Heartbeat of Deep Lakes. At Crater Lake, It’s Slowing Down.

November 14, 2025

The physics of mixing water layers — an interplay of wind, climate and more — makes lakes work. When it stops, impacts can ripple across an ecosystem.

New Proofs Probe Soap-Film Singularities

November 12, 2025

Mathematicians have broken through a long-standing barrier in the study of “minimizing surfaces,” which play an important role in both math and physics.

To Have Machines Make Math Proofs, Turn Them Into a Puzzle

Marijn Heule turns mathematical statements into something like Sudoku puzzles, then has computers go to work on them. His proofs have been called “disgusting,” but they go beyond what any human can do.

Physicists Take the Imaginary Numbers Out of Quantum Mechanics

November 7, 2025

Quantum mechanics has at last been formulated exclusively with real numbers, bringing a mathematical puzzle at the heart of the theory into a new era of inquiry.

How Your Brain Creates ‘Aha’ Moments and Why They Stick

November 5, 2025

A sudden flash of insight is a product of your brain. Neuroscientists track the neural activity underlying an “aha” and how it might boost memory.

What Is a Manifold?

November 3, 2025

In the mid-19th century, Bernhard Riemann conceived of a new way to think about mathematical spaces, providing the foundation for modern geometry and physics.

In a First, AI Models Analyze Language As Well As a Human Expert

October 31, 2025

If language is what makes us human, what does it mean now that large language models have gained “metalinguistic” abilities?