Binarized neural networks maintain near-full accuracy with 0.1% random weight bit errors, allowing ST-MRAM to operate without error correction and with about 2x lower programming energy.
St-mram fundamentals, challenges, and outlook,
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Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction
Binarized neural networks maintain near-full accuracy with 0.1% random weight bit errors, allowing ST-MRAM to operate without error correction and with about 2x lower programming energy.