Near-infrared (NIR) photon detection and object recognition are crucial technologies for all-weather target identification. Conventional NIR detection systems that rely on photodetectors and von Neumann computing algorithms are energy inefficient. Artificial sensory neurons based on infrared-sensitive volatile memristors offer a promising solution.
Artificial sensory neuron enables high-precision, multi-color, near-infrared object recognition
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