A 3-D memristor-based circuit for brain-inspired computing

Researchers at the University of Massachusetts and the Air Force Research Laboratory Information Directorate have recently created a 3-D computing circuit that could be used to map and implement complex machine learning algorithms, such convolutional neural networks (CNNs). This 3-D circuit, presented in a paper published in Nature Electronics, comprises eight layers of memristors; electrical components that regulate the electrical current flowing in a circuit and directly implement neural network weights in hardware.

from News on Artificial Intelligence and Machine Learning https://ift.tt/2ygPGil

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