So, an algorithm is the process a computer uses to transform input data into output data. A simple concept, and yet every piece of technology that you touch involves many algorithms.

Earlier this year, Andrew Smith wrote about "Franken-algorithms" for The Guardian, suggesting that software in our lives had become complex and unpredictable and the consequences could be deadly.

We decided to put this algorithm to the test, pitting it against TIME’s photo editors. To do that, we took the 20 most liked images on TIME’s Instagram feed and had our photo editors rate each ...

Abstractions blog algorithms computer science All topics In life, we sometimes have to make decisions without all the information we want; that’s true in computer science, too. This is the realm of ...

Pedro Domingos, computer science professor at the University of Washington, offers an overview of the current state of machine learning in his just-published book, “The Master Algorithm: How the ...

Op-ed: a computer scientist weighs in on the downsides of AI. This is what's important: machine-learning systems—"algorithms"—produce outputs that reflect the training data over time.

The algorithm, developed by computer scientist Michael Bowling and his team at the University of Alberta in Edmonton, is the first to tackle a commonly played imperfect-information game, ...

But a new proof shows that for the quintessential path-finding problem, one algorithm is close to ideal: Assuming worst-case traffic patterns, it’s the best approach on every possible street grid.

Computer scientists have written a network flow algorithm that computes almost as fast as is mathematically possible. This algorithm computes the maximum traffic flow with minimum transport costs ...