We added CNN2SNN and 4-bit weights/activations, and are adding LSTM (long short term memory) in Akida 1500.
CNN is used for image processing.
4-bit weights/activations are more accurate then 1-bit W/As, at the expense of a little speed and a little power usage increase.
LSTM is used for sequence learning networks.
BrainChip – Annual General Meeting CEO and Chairman’s Address
Sydney 26 May 2021
https://hotcopper.com.au/data/announcements/ASX/2A1300009_BRN.pdf
So who wants more accurate, fairly fast, fairly power efficient image sequence processing?
2022 BRN Discussion, page-801
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