Abstract: Computing-In-Memory (CIM) is widely applied in neural networks due to its unique capability to perform multiply-and-accumulate operations within a circuit array. This process directly ...
This repository contains a maintained and modernized version of the Espresso logic minimizer, originally developed at the University of California, Berkeley. Espresso is a heuristic multi-valued PLA ...
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Strange magnet behavior might power future AI computing hardware
Artificial intelligence is colliding with a hard physical limit: the energy and heat of conventional chips. As models scale ...
We show the design, fabrication, and integration of a 128-channel aluminum nitride photonic chip with tunable diamond quantum micro-chiplets containing silicon vacancy and germanium vacancy color ...
Abstract: An intrusion detection system (IDS) plays a crucial role in network security by distinguishing hostile activities from network traffic. Conventional hardware-based IDS architectures have ...
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