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A blue virtual being, made of neural networks, plays with colorful blocks inside a glowing sphere
machine learning

By Exploring Virtual Worlds, AI Learns in New Ways

By Allison Whitten
June 24, 2022
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Intelligent beings learn by interacting with the world. Artificial intelligence researchers have adopted a similar strategy to teach their virtual agents new tricks.

Daniel Spielman sits in front of an elaborate window at Yale University
Q&A

The Computer Scientist Who Parlays Failures Into Breakthroughs

By Mordechai Rorvig
June 13, 2022
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Daniel Spielman solves important problems by thinking hard — about other questions.

Aerial view of a complicated interchange full of flowing traffic
networks

Researchers Achieve ‘Absurdly Fast’ Algorithm for Network Flow

By Erica Klarreich
June 8, 2022
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Computer scientists can now solve a decades-old problem in practically the time it takes to write it down.

An illustration of a spherical universe sitting inside a machine hooked up to wires.
neural networks

How to Make the Universe Think for Us

By Charlie Wood
May 31, 2022
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Physicists are building neural networks out of vibrations, voltages and lasers, arguing that the future of computing lies in exploiting the universe’s complex physical behaviors.

computational complexity

How Computer Scientists Learned to Reinvent the Proof

By Mordechai Rorvig
May 23, 2022
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Why verify every line of a proof, when just a few checks will do?

Outdoor photo of Leslie Lamport wearing a blue shirt with his hand up to his shoulder
Q&A

How to Write Software With Mathematical Perfection

By Sheon Han
May 17, 2022
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Leslie Lamport revolutionized how computers talk to each other. Now he’s working on how engineers talk to their machines.

Illustration of an ornate balance demonstrating that the expression x2 + 2x + 1 weighs more than the equivalent expression (x + 1)(x + 1)
computational complexity

Computer Scientists Prove That Certain Problems Are Truly Hard

By Mordechai Rorvig
May 11, 2022
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Finding out whether a question is too difficult to ever solve efficiently depends on figuring out just how hard it is. Researchers have now shown how to do that for a major class of problems.

Five mountain landscapes on floating scrolls representing possible cryptographic worlds.
cryptography

Which Computational Universe Do We Live In?

By Erica Klarreich
April 18, 2022
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Cryptographers want to know which of five possible worlds we inhabit, which will reveal whether truly secure cryptography is even possible.

Illustration of a red monster with many heads, each corresponding to a word, with an array of floating words to choose from and a background showing a network’s connections
neural networks

Researchers Gain New Understanding From Simple AI

By Mordechai Rorvig
April 14, 2022
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Language processing programs are notoriously hard to interpret, but smaller versions can provide important insights into how they work.


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