For me, determining market potential really depends on what fits...

For me, determining market potential really depends on what fits under the 'edge AI' umbrella.

I find 'edge AI' a problematic label in that it implies use cases which BrainChip shouldn't be constrained by.

The covid nanonse tests are a good example of what could essentially be low energy (i.e: cost) pattern recognition in a data centre. E.g: User sends data packet from phone to an app (e.g: CovidTest App) which is using a 'Pattern Recognition' service in azure/aws/google which have racks upon racks of chips utilising Brainchips IP...

LDN frequently mentioned BrainChip being SPECIFICALLY in the 'Edge AI' space and it made me less impressed with what I thought the technology potential to be.

AI is a bastardised term but in my mind is in the software space, even if hardware is facilitating EFFICIENT AI. I'm sure many will disagree.

Im not overly interested in high end use cases that won't translate to broad demand <cough>Mars Rover<cough/> but validation from NASA is what is important here.

What would reeeeally get me excited is if BrainChip could work as an effective wake up radio as an improvement on Bluetooth sensoring. Then you can see it being applied to a staggering amount of perishable consumer items.