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 ...

Professor Ian Davidson's research in the Department of Computer Science focuses on making artificial intelligence systems 'fair' and trustworthy. (Graphic by Bangon Pitipong via Getty Images) In 2017, ...

In algorithms, as in life, negativity can be a drag. Consider the problem of finding the shortest path between two points on a graph — a network of nodes connected by links, or edges. Often, these ...

The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...

People have performed many mathematical proofs to show that a quantum computer will vastly outperform traditional computers on a number of algorithms. But the quantum ...

For decades, the graph isomorphism problem has held a special status within complexity theory. While thousands of other computational problems have meekly succumbed to categorization as either hard or ...

People may be biased, even without realizing it, but computer programs shouldn’t have any reason to discriminate against black patients when predicting their healthcare needs. Right? Wrong, new ...

Computers are good at identifying patterns in huge data sets. Humans, by contrast, are good at inferring patterns from just a few examples. Researchers have developed a new system that bridges these ...

One of the most classic algorithmic problems deals with calculating the shortest path between two points. A more complicated variant of the problem is when the route traverses a changing ...

Had Narrative Science—a company that trains computers to write news stories—created this piece, it probably would not mention that the company's Chicago headquarters lie only a long baseball toss from ...