Computer Sciences
A team of researchers at the University of Chicago has found that voice-copying algorithms have advanced to the point that they are now capable of fooling voice recognition devices, and in many cases, people listening to ...
Computer Sciences
Event sensors, such as DVS event cameras and NeuTouch tactile sensors, are sophisticated bio-inspired devices that mimic event-driven communication mechanisms naturally occurring in the brain. In contrast with conventional ...
Computer Sciences
Despite increasing concern over the intrusion of algorithms in daily life, people may be more willing to trust a computer program than their fellow humans, especially if a task becomes too challenging, according to new research ...
Apr 13, 2021
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270
Computer Sciences
At a time when many versions of AI rely on pre-established data sets for image recognition, Facebook has developed SEER (Self-supERvised) – a deep learning solution able to register images on the Internet independent of ...
Engineering
While humans may struggle to navigate a murky, turbid underwater environment, weakly electric fish can do so with ease. These aquatic animals are specially adapted to traverse obscured waters without relying on vision; instead, ...
Jan 14, 2021
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48
Other
As facial recognition technology comes into wider use worldwide, more attention has fallen on the imbalance in the technology's performance across races.
Dec 7, 2020
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48
Security
A wave of protests over law enforcement abuses has highlighted concerns over artificial intelligence programs like facial recognition which critics say may reinforce racial bias.
Jul 5, 2020
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20
Computer Sciences
Is it possible some instances of artificial intelligence are not as intelligent as we thought?
Security
A study by a U.S. agency has found that facial recognition technology often performs unevenly based on a person's race, gender or age.
Dec 19, 2019
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Machine learning & AI
People may be biased, even without realizing it, but computer programs shouldn't have any reason to discriminate against black patients when predicting their health care needs. Right?
Oct 25, 2019
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