Artificial neural networks have found a variety of commercial applications, from facial recognition to recommendation engines. Compute-in-memory accelerators seek to improve the computational efficiency of these networks by helping to overcome the von Neumann bottleneck.
But the success of artificial neural networks also highlights their inadequacies. They replicate only a small subset of th...
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