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By Exploring Virtual Worlds, AI Learns in New Ways
Intelligent beings learn by interacting with the world. Artificial intelligence researchers have adopted a similar strategy to teach their virtual agents new tricks.
The Computer Scientist Who Parlays Failures Into Breakthroughs
Daniel Spielman solves important problems by thinking hard — about other questions.
Researchers Achieve ‘Absurdly Fast’ Algorithm for Network Flow
Computer scientists can now solve a decades-old problem in practically the time it takes to write it down.
How to Make the Universe Think for Us
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.
How Computer Scientists Learned to Reinvent the Proof
Why verify every line of a proof, when just a few checks will do?
How to Write Software With Mathematical Perfection
Leslie Lamport revolutionized how computers talk to each other. Now he’s working on how engineers talk to their machines.
Computer Scientists Prove That Certain Problems Are Truly Hard
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.
Powerful ‘Machine Scientists’ Distill the Laws of Physics From Raw Data
Researchers say we’re on the cusp of “GoPro physics,” where a camera can point at an event and an algorithm can identify the underlying physics equation.
Which Computational Universe Do We Live In?
Cryptographers want to know which of five possible worlds we inhabit, which will reveal whether truly secure cryptography is even possible.