Quantum Walk Algorithms Quantum walks, sometimes called quantum random walks, are quantum analogues of (classical) random walks, which have proved to be a very powerful algorithmic tool in classical ...

Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data ...

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

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, ...

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

Computer scientist Joy Buolamwini is on a mission to fight bias in algorithms. In this comic, Buolamwini discusses the way biased algorithms can lead to real world inequality — and what we can do.

An algorithm proposed two decades ago that demonstrated the benefit of using quantum mechanics to solve certain problems has finally been run on a quantum computer.

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 ...

Narrative Science's algorithms built the article using pitch-by-pitch game data that parents entered into an iPhone app called GameChanger.