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Barbara Liskov pioneered the modern approach to writing code. She warns that the challenges facing computer science today can’t be overcome with good design alone.
After millions of games, machine learning algorithms found creative solutions and unexpected new strategies that could transfer to the real world.
By ignoring their goals, evolutionary algorithms have solved longstanding challenges in artificial intelligence.
The way you learned to multiply works, but computers employ a faster algorithm.
The universe of problems that a computer can check has grown. The researchers’ secret ingredient? Quantum entanglement.
Quantum computers can’t selectively forget information. A new algorithm for multiplication shows a way around that problem.
By chopping up large numbers into smaller ones, researchers have rewritten a fundamental mathematical speed limit.
Researchers have just released hacker-proof cryptographic code — programs with the same level of invincibility as a mathematical proof.
Some researchers are using a complexity framework thought to be purely theoretical to understand evolutionary dynamics in biological and computational systems.