A Y-Flash in-memory computing architecture for coalesced Tsetlin machine inference is presented, simulating 96.3 percent MNIST accuracy with improved energy efficiency.
Ferroelectric capacitors and field-effect transistors as in-memory computing elements for machine learning workloads,
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IMPACT:InMemory ComPuting Architecture Based on Y-FlAsh Technology for Coalesced Tsetlin Machine Inference
A Y-Flash in-memory computing architecture for coalesced Tsetlin machine inference is presented, simulating 96.3 percent MNIST accuracy with improved energy efficiency.