NewsArtificial neuron device could shrink energy use and size of
neural network hardware

18th March 2021by admin0
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Training neural networks to perform tasks, such as
recognizing images or navigating self-driving cars, could one day
require less computing power and hardware thanks to a new
artificial neuron device developed by researchers at the University
of California San Diego. The device can run neural network
computations using 100 to 1000 times less energy and area than
existing CMOS-based hardware.

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    The New Fusion technology is based on a phenomenon called triplet-triplet annihilation (TTA) which is a process in which two triplet excitons annihilate and produce a higher energy singlet exciton.

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      New Fusion

      The New Fusion technology is based on a phenomenon called triplet-triplet annihilation (TTA) which is a process in which two triplet excitons annihilate and produce a higher energy singlet exciton.

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