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Artificial Neural Networks

topic1 events
papersTODAY 04:00 UTC

NeuroFlex Enables Element-Level Co-Execution of ANNs and SNNs for Sparse Inference

A new arXiv paper proposes NeuroFlex, a scheme that lets artificial and spiking neural networks run together at the level of individual elements rather than whole layers or tiles. The authors argue this finer granularity avoids the idle hardware and wasted energy that hybrid accelerators suffer when workload traits change inside a layer, and that it does so without losing accuracy. The work targets sparse inference efficiency on specialized DNN accelerators.

spiking-neural-networks/efficiency/hardware/inference