A newly developed AI tool can identify "deepfakes" of faces by examining the light reflection in the eyes of the images. The system is 94% accurate at detecting deepfakes.
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Combining brain activity data with artificial intelligence, researchers generated faces based upon what individuals considered to be attractive features.
Combining EEG brain function data, brain-computer interface technology, and artificial intelligence, researchers have created a system that can generate an image of what a person is thinking.
Deep layers of artificial neural networks can be edited to generate surprising and abstract images.
Researchers find changing the surface characteristics and texture of semiconductor materials at the nanoscale level influences the way neurons grow on the material.
