Search Results - siddharth+barve

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FeFET-Based Approach for Euclidean Distance Calculation in Neuromorphic Hardware (2023-027)
­Edge computing has strict constraints in terms of power, latency, and hardware size which calls for a rethinking of hardware design for deep learning. Current neuromorphic research has focused on the use of memristors or conventional CMOS Field Effect Transistors devices for accelerating dot-product calculations for matrix multiplication. However,...
Published: 8/30/2023   |   Updated: 8/30/2023   |   Inventor(s): Siddharth Barve, Rashmi Jha
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Category(s): Technology Classifications > Energy, Technology Classifications > Advanced Materials, Technology Classifications > Advanced Materials > Energy-related materials