Interesting I was just reading about a reduction of MAC on table 3 of the attached paper which is close to a 50% reduction. I can't see any direct reference to AKIDA for this Learning to see in the dark model (SID), but there is reference to new improved latent feature with the annotations looking similar to those seen on the BRN website IP brochure which also uses YOLO as an example. Not sure there is any link here but it's an interesting read regardless with a shorter release on twitter today...
https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123660341.pdf
https://brainchipinc.com/wp-content/uploads/2020/04/BrainChip_IP-Brochure_03302020_DD2.1.pdf
http://socionextus.com/pressreleases/deep-learning-method-for-object-detection-in-low-light-conditions/?utm_source=twitter&utm_medium=post&utm_campaign=pr-lowlight
2020 BRN Discussion, page-6531
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