Sixty years ago, on May 1, 1964, at 4 am in the morning, a quiet revolution in computing began at Dartmouth College. That's when mathematicians John G. Kemeny and Thomas E. Kurtz successfully ran the ...

Back in the hazy olden days of the pre-2000s, navigating between two locations generally required someone to whip out a paper map and painstakingly figure out the most optimal route between those ...

How should we measure the accuracy of predictions? If the weather forecast calls for a 10% chance of rain, and it rains, was that a bad forecast? How would you explain what a "good forecast" is to a ...

This course studies approximation algorithms – algorithms that are used for solving hard optimization problems. Such algorithms find approximate (slightly suboptimal) solutions to optimization ...

Dr. Steve Bellovin is professor of computer science at Columbia University, where he researches "networks, security, and why the two don't get along." He is the author of Thinking Security and the ...

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Researchers have shrunk state-of-the-art computer vision models to run on low-power devices. Growing pains: Visual recognition is deep learning’s strongest skill. Computer vision algorithms are ...

Scientists say they’ve developed a framework to make computer algorithms “safer” to use without creating bias based on race, gender or other factors. The trick, they say, is to make it possible for ...