Computer Sciences

Injecting fairness into machine-learning models

If a machine-learning model is trained using an unbalanced dataset, such as one that contains far more images of people with lighter skin than people with darker skin, there is serious risk the model's predictions will be ...

Computer Sciences

Can machine-learning models overcome biased datasets?

Artificial intelligence systems may be able to complete tasks quickly, but that doesn't mean they always do so fairly. If the datasets used to train machine-learning models contain biased data, it is likely the system could ...

Computer Sciences

Identifying fake voice recordings

Machines can use artificial intelligence to create photos or voice recordings that look or sound like those in real life. Researchers at the Horst Görtz Institute for IT Security at Ruhr-Universität Bochum are interested ...

Computer Sciences

Voice technology for the rest of the world

Voice-enabled technologies like Siri have gone from a novelty to a routine way to interact with technology in the past decade. In the coming years, our devices will only get chattier as the market for voice-enabled apps, ...

Machine learning & AI

World's first massive egocentric dataset

The University of Bristol is part of an international consortium of 13 universities in partnership with Facebook AI, that collaborated to advance egocentric perception. As a result of this initiative, we have built the world's ...

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