Looking around for some whitepapers on AI and found this. Few years old now, and doesn't mention BRN, but gives a good overview on Edge computing. Gives you can idea on where BRN's technology is at/potentially headed. Apologies if this was already posted.
Fig. 1: Total annual revenue from AI chipset sales, 2017 to 2024 (Source: ABI Research and embedded.com) [ABI19]
Fig. 2: Edge-to-Cloud information processing model for AI leads to unsustainable and inefficient zettabyte data movement (Source: EPFL View on Future Grand Challenges [AI19]).
Fig. 4: The Berkeley View on AI. Observe that of all trends, mission-critical, personalized and outpacing Moore’s Law all apply to Edge AI.The vast majority of identified challenges also apply to the Edge [Ber19].
7th link from the top:
https://thertoinnovationsummit.eu/downloads
2022 BRN Discussion, page-5900
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