CEA-Leti scientists have demonstrated a machine-learning technique exploiting what have been previously considered as “non-ideal” traits of resistive-RAM (RRAM) devices, overcoming barriers to developing RRAM-based edge-learning systems.  The research team demonstrated how RRAM, or memristor, technology can be used to create intelligent systems that learn locally at the edge, independent of the cloud. The learning algorithms ...

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