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Powering AI at the edge: A robust, memristor-based binarized neural network with near-memory computing and miniaturized solar cell

Engineering and Technology

Powering AI at the edge: A robust, memristor-based binarized neural network with near-memory computing and miniaturized solar cell

F. Jebali, A. Majumdar, et al.

Discover the groundbreaking work by Fadi Jebali and colleagues on memristor-based neural networks that can power AI autonomously using energy harvesters. Their innovative approach utilizes a miniature solar cell to enable digital near-memory computing that adapts to varying lighting conditions. This research promises energy-efficient solutions for intelligent sensors in various applications.

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