Just brief summary of the research findings by Mr. Dey and his team from Tata and Brainchip that could become the Benchmark:
“Low Power & Low Latency Cloud Cover Detection in Small Satellites Using On-board Neuromorphic ProcessorsChetan Kadway, Sounak Dey, Arijit Mukherjee, Arpan Pal, Gilles Bézard2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023Emergence of small satellites for earth observation missions has opened up new horizons for space research but at the same time posed newer challenges of limited power and compute resource arising out of the size & weight constraints imposed by these satellites. The currently evolving neuromorphic computing paradigm shows promise in terms of energy efficiency and may possibly be exploited here. In this paper, we try to prove the applicability of neuromorphic computing for on-board data processing in satellites by creating a 2-stage hierarchical cloud cover detection application for multi-spectral earth observation images.
We design and train a CNN and convert it into SNN using the CNN2SNN conversion toolkit of Brainchip Akida neuromorphic platform.
We achieve 95.46% accuracy while power consumption and latency are at least 35x and 3.4x more efficient respectively in stage-1 (and 230x & 7x in stage-2) compared to the equivalent CNN running on Jetson TX2.”
PS: Just in case you do not realise Jetson TX2 is a top selling Nvidia GPU that AKIDA is crushing.
My opinion only DYOR
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