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

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

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.

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

Previous adversarial examples have largely been designed in “white box” settings, where computer scientists have access to the underlying mechanics that power an algorithm. In these scenarios ...

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

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

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.

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, ...