In a study published this week in the journal Nature Communications, researchers at IBM’s lab in Zurich, Switzerland claim to have developed a technique that achieves both energy efficiency and high accuracy on machine learning workloads using phase-change memory. By exploiting in-memory computing methods using resistance-based storage devices, their approach …
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