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

One of the major tools of artificial intelligence is the neural net, which models the way the neurons in our heads behave.

In recent years, ethical issues in computer science such as hacking, data collection, and algorithmic bias have profoundly impacted our culture.

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

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 ...

Computers are great a processing large amounts of data very quickly. What computers aren’t nearly as good at (though the ...

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

A new “Interview on Computer Science”. Serge Abiteboul and Christine Froidevaux interview Claude Berrou, computer engineer and electronics engineer, and a member of the French Academy of Sciences.

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, ...

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 ...