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How a Computer Broke a 50-Year Math Record
DeepMind researchers trained an AI system called AlphaTensor to find new, faster algorithms for matrix multiplication. AlphaTensor quickly rediscovered — and surpassed, for some cases — the reigning algorithm discovered by German mathematician Volker Strassen in 1969.
The Riemann Hypothesis, Explained
Can a New Law of Physics Explain a Black Hole Paradox?
The High Schooler Who Solved a Prime Number Theorem
The Biggest Project in Modern Mathematics
How AI Learns to ‘See’
Quantum Computers, Explained With Quantum Physics
The Man Who Revolutionized Computer Science With Math
Wormhole in the Lab
The Standard Model: The Most Successful Scientific Theory Ever
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Akshay Venkatesh: A Number Theorist Who Bridges Math and Time
Akshay Venkatesh on his mathematical working style, which took him many years to discover.
Constantinos Daskalakis: A Poet of Computation Who Uncovers Distant Truths
Constantinos Daskalakis on why he studies the interface between theoretical computer science and human behavior.
Caucher Birkar: An Innovator Who Brings Order to an Infinitude of Equations
Birkar discusses the need for originality in mathematics and in life.
Alessio Figalli: A Traveler Who Finds Stability in the Natural World
Figalli explains how physical intuition can play a key role — but not the only role — in mathematical thinking.
Jessica Whited on Limb Regeneration and the Axolotl Genome
Jessica Whited is a biologist who studies limb regeneration at Harvard Medical School and Brigham and Women’s Hospital. Here, she explains how genomic information for the salamander called an axolotl will help us understand the potential for regrowing limbs in humans and other animals.
Carina Curto on How Physicists Can Think About Neuroscience
Carina Curto, a mathematician at Pennsylvania State University, explains how her background in theoretical physics helps her tackle daunting problems in theoretical neuroscience.
Lisa Manning on the Dynamics of Glasses and Embryos
Lisa Manning, a physicist at Syracuse University, describes how the physics of glassy materials helps to explain how some organs assume their correct shape during embryonic development.