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| 0 events, | 0 events, | 0 events, | 1 event, Virtual Event – Virtual Event Abstract: Computing-in-memory (CiM), in conjunction with ultra-low precision (ULP) inputs and weights, promises a pathway towards the deployment of DNN workloads on resource-constrained edge platforms. For instance, CiM-enabled binary neural network (BNN) accelerators (with inputs and weights quantized to two states: {-1,1}) have shown potential by significantly reducing storage and energy cost while maintaining acceptable […] | 0 events, | 0 events, | 0 events, |
