In a new study, researchers have developed a photonic chip with a deep neural network that can directly analyse images without the need for a clock, sensors, or large memory modules.
“It can classify nearly 2 billion images per second,” says study senior author Firooz Aflatouni, an electrical engineer at the University of Pennsylvania.
Meanwhile the researchers are experimenting to classify video and 3D objects at higher resolutions, building larger chips with more pixels and neurons.
The application of this technology is not limited to image and video classification. Any signal such as audio and speech can be classified almost instantaneously using the same technology.
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