Computer Scientists Find a Key Research Algorithm's Limits The most widely used technique for optimizing values of a math function turns out to be a fundamentally difficult computational problem.

Researchers have devised a new framework for designing machine learning algorithms that helps prevent intelligent machines from being biased.

The use of algorithms to filter and present information online is increasingly shaping our everyday experience of the real world, a study argues.

For decades, computer scientists working on negative-weight graphs tried to match the speed of Dijkstra’s algorithm with similar “combinatorial” algorithms. These involve discrete operations — like ...

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, ...

Through collaboration with colleagues in areas such as Computer Science, Biology, Oceanography and Statistics, researchers in the Algorithms and Bioinformatics cluster develop tools that have gained ...

Quantum computer succeeds where a classical algorithm fails Quantum computers coupled with traditional machine learning show clear benefits.

Computer Scientists Discover Limits of Major Research Algorithm The most widely used technique for finding the largest or smallest values of a math function turns out to be a fundamentally difficult ...