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Neuromorphic acoustic anomaly detection on Loihi 2 achieves two orders of magnitude lower energy consumption than CPU and GPU

Power profiling on a 16-chip Loihi 2 VPX system shows real-time throughput with 0.0406$\unicode{x2013}$0.0426 mJ dynamic energy per sample, two orders of magnitude lower than both a CPU and GPU.
Neural and Evolutionary Computing28 Aug 2026

http://arxiv.org/abs/2608.18341v1