Researchers at China's University of Shanghai for Science and Technology (USST) have developed a microscopic AI chip that analyzes data using light physics, requiring a fraction of the energy of traditional computing. The chip, barely larger than a grain of salt, utilizes an all-optical diffractive deep neural network to process data encoded in light photons transmitted through fiber optic cables.
ArticleBody:Fiber optic cables have a bottleneck problem. Although they’re capable of transporting encoded data at the speed of light, translating the encoded data into understandable information often requires slower, much more energy-hungry equipment.
All that data-encoded light, however, is conveyed through fiber optic wires no wider than a single human hair—so they needed their AI chip to be just as tiny in order to read each photon. Researchers relied on “three-dimensional two-photon nanolithography” to construct each miniscule chip using ultrathin polymer layers. They then attached a chip to the end of a fiber optic wire, where it processed data as it passed through the cables at the speed of light.
Artificial Intelligence Photonics Data Analysis Energy Efficiency Miniaturization
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