Hi Manny,Brainchip has worked out a way of converting traditional algorithms to State Space Model (SSM) algorithms resulting in way smaller chips.
See Edge AI and Vision Alliance description by Tony Lewis concerning his presentation quoted below.
The implications for a much smaller chip are huge. Think small devices including mobile phones.
For example, the possibility of Pico or a slightly larger version of Pico in mobile phones for example for 'game changing cybersecurity ' is huge.
Also, the possibility for other small devices is limitless.
This has largely gone under the radar.
"Explore the future of AI at the edge withM Anthony Lewis, CTO ofBrainChip, at the Embedded Vision Summit. He'll contrast state-space models (SSMs) with transformers, showing how SSMs, with their read-only architecture, reduce power consumption and chip area. Discover how SSMs achieve real-time interactivity and how new techniques enable distillation-based migration from transformer models like Llama without losing performance."
What I like about Dr. Tony is that he is up and about, super intelligent and happy to present on behalf of Brainchip with the
confidence that can seal deals, having never met him in person yet, I believe he would be just as friendly and approachable
as Peter and Anil are with me, never giving away any info that they shouldn't be, but always appreciative of shareholders
acknowledging their great work and always trying to educate in a positive manner.
Keep fighting the good fight Dr. Tony, us Aussie shareholders are backing you in all the way, just like my Brisbane Lions, go
Lions, still managing to win games, but nowhere near our brilliant best just yet!
Cheers...Tech