A 65 nm all-digital Tsetlin machine accelerator chip classifies MNIST images at 8.6 nJ per frame and 97.42% accuracy, the lowest fully digital EPC reported for this benchmark.
Always-on 674µW@4GOP/s error resilient binary neural networks with aggressive SRAM voltage scaling on a 22-nm IoT end-node,
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An All-digital 8.6-nJ/Frame 65-nm Tsetlin Machine Image Classification Accelerator
A 65 nm all-digital Tsetlin machine accelerator chip classifies MNIST images at 8.6 nJ per frame and 97.42% accuracy, the lowest fully digital EPC reported for this benchmark.