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20232026
most citedX-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs

9 citations · 12 across the 6 of their papers we have counts for

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cs.ET2026

A Fast and Energy-Efficient Latch-Based Memristive Analog Content-Addressable Memory

Paul-Philipp Manea, Aishwarya Natarajan, Jim Ignowski +2

Analog content-addressable memories (aCAMs) based on memristors provide a promising pathway toward energy-efficient large-scale associative computing for Edge AI and embedded intel…