BRN Discussion Ongoing

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If ARM was an arm, BRN would be its biceps💪!
"Akida can handle 1 billion parameters on device unconnected for GENAi applications on a watch battery versus Snapdragon which cannot"

What "specifications" for AKIDA is this, assuming AKIDA 2.0 IP (node count?).

I'm pretty sure Snapdragon 8 is a defined size?

Whereas "AKIDA" is not.
Screenshot 2025-04-06 at 11.07.08 pm.png




If you look at the video in the link (below) Tony Lewis describes how it can run on a watch battery at approx 2.05 mins.


 
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7für7

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View attachment 81595



If you look at the video in the link (below) Tony Lewis describes how it can run on a watch battery at approx 2.05 mins.



AKIDA 2.0 IP (E, S and P) is available with from 1 to 256 nodes..

So without stating the size of the network on the FPGA, it's a bit hard to make performance comparisons?..

I guess it doesn't "really" matter, as long as it can do it and it's likely to be in the P range (8- 256 nodes).

But it would be nice to know maybe, how many they are actually using, to get that performance?..
 
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manny100

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I read this as one sentence -
Qualcomm wants Brainchip.
Who knows.
One thing we do know is that Snapdragon is not Neuromorphic.
It is not event based but has work arounds which still chew up power.
Does not have on chip learning either.
 
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itsol4605

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Is there any plausible reason or compelling argument why Qualcomm should "not" use Akida in their chips in the near future?
 

itsol4605

Regular
Is there any plausible reason or compelling argument why Qualcomm should "not" use Akida in their chips in the near future?
maybe ChatGPT or ... knows more...
 
Might have to try and find some spare cash today and pick up a bargain as

1743970824374.gif
 
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Papacass

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Hey Frangipani,
Great research! Are you inferring that you believe that AKD1500 has been produced in silicon?
I’m only going from memory now but information was circulating here that well over 12 months ago AKD1500 was going to be produced in silicon by Brainchip but allegedly an anonymous potential partner/customer halted that production as they wanted to do it. I think @Diogenese was sniffing that trail. Maybe I’ve got it all wrong in my old age but could Airbus be that company that caused AKD1500 to be produced in silicon?


This poster titled GRAIN - Radiation-Tolerant Edge AI, presented by Kenneth Östberg, one of its two co-authors (the other being Daniel Andersson), during the “RISC-V in Space” workshop in Gothenburg on Thursday…


View attachment 81573
View attachment 81577

…finally reveals what NEURAVIS stands for - the name of that R&T project, which ESA awarded to the five consortium partners Airbus Toulouse, Airbus Ottobrunn, BrainChip, Frontgrade Gaisler and Neurobus in mid-2024 (see the July 2024 LinkedIn post by Airbus Space Project Manager Jérémy Lebreton below):

Neuromorphic Evaluation of Ultra-low-power Rad-hard Acceleration for Vision Inferences in Space.

The poster also provides more information with regards to the use cases currently being explored in the NEURAVIS project, although I’m afraid I couldn’t decipher everything due to the small print - maybe someone with eagle eyes or a magic tool to blow up the photo and unblur the small print can add in resp. correct what I’ve gathered so far:

1. Moon landing
Use Case #1: Vision-Based Navigation for Lunar Lander

Also see Alf Kuchenbuch’s recent comment on Argonaut, ESA’s lunar lander programme:

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-452257

View attachment 81579

2. Debris detection/collect (?)
Use Case #2: Monitoring (?) Building Block for In-orbit Maintenance


3. Docking


4. Object ? (looks like “simulation”, but appears to be a longer word?)



In addition, the poster lists four “Application scenarios” for GRAIN’s Radiation-Tolerant Edge AI:

1. Remote Terminal Unit
2. Stand-alone Controller
3. Near-edge processing unit
4. Auxiliary data-processing module

Lots of small print to decipher here as well! 🔍





View attachment 81578


If I understand the above post correctly, we have yet to hear about what suggestion the NEURAVIS proposal has for AKD1500 (“BrainChip is proud that Airbus selected Akida for both COTS chips and IP in their proposal. ESA awarded the Airbus “NEURAVIS” proposal, including Akida in the Akida 1500 chip and on an FPGA together with Frontgrade Gaisler’s NOEL-V processor.”).

Whereas the underlined appears to refer to Frontgrade Gaisler’s newly revealed GR801 SoC that will incorporate Akida 1.0 IP - greatly benefitting the work of Airbus Toulouse computer vision experts such as Jérémy Lebreton (project lead) and Roland Brochard, as can be inferred from the GRAIN poster’s four listed use cases - there has to be another specific proposal by Airbus how to utilise our COTS chip AKD1500, then.

So I presume Airbus Ottobrunn and Neurobus might be the consortium partners currently collaborating on that second part of the NEURAVIS proposal?
 
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Hey Frangipani,
Great research! Are you inferring that you believe that AKD1500 has been produced in silicon?
I’m only going from memory now but information was circulating here that well over 12 months ago AKD1500 was going to be produced in silicon by Brainchip but allegedly an anonymous potential partner/customer halted that production as they wanted to do it. I think @Diogenese was sniffing that trail. Maybe I’ve got it all wrong in my old age but could Airbus be that company that caused AKD1500 to be produced in silicon?
Your memory is confused with what happened to the production of AKD2000 chips (which got to the "taping out" stage).

AKD1500, was produced by Global Foundries and has been utilised, by Bascom Hunter


BrainChip Receives First Shipment of AKD1500 Chips in Silicon from Technology Partner GlobalFoundries (August 2023)



In late December(2024) BrainChip signed a US$100,000 contract with U.S. defence contractor Bascom Hunter, for the sale and support of AKD1500 chips for full scale evaluation of commercial products, which will provide significant improvements over traditional CPU, GPU, and TPU processors and are considered optimal for low Size, Weight, and Power (SWaP) Machine Learning (ML) applications.
 
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Papacass

Regular
Your memory is confused with what happened to the production of AKD2000 chips (which got to the "taping out" stage).

AKD1500, was produced by Global Foundries and has been utilised, by Bascom Hunter


BrainChip Receives First Shipment of AKD1500 Chips in Silicon from Technology Partner GlobalFoundries (August 2023)



In late December(2024) BrainChip signed a US$100,000 contract with U.S. defence contractor Bascom Hunter, for the sale and support of AKD1500 chips for full scale evaluation of commercial products, which will provide significant improvements over traditional CPU, GPU, and TPU processors and are considered optimal for low Size, Weight, and Power (SWaP) Machine Learning (ML) applications.
Cheers. Knew I was getting old.
 
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miaeffect

Oat latte lover
giphy (2).gif

Hope my parachute works
Hold tight
 
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7für7

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Bravo

If ARM was an arm, BRN would be its biceps💪!
200w (1).gif
 
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7für7

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BUT WAIT.. WE ARE ABOUT TO ENABLE The…..

 
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HopalongPetrovski

I'm Spartacus!
 
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HopalongPetrovski

I'm Spartacus!
 
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Diogenese

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Hey Frangipani,
Great research! Are you inferring that you believe that AKD1500 has been produced in silicon?
I’m only going from memory now but information was circulating here that well over 12 months ago AKD1500 was going to be produced in silicon by Brainchip but allegedly an anonymous potential partner/customer halted that production as they wanted to do it. I think @Diogenese was sniffing that trail. Maybe I’ve got it all wrong in my old age but could Airbus be that company that caused AKD1500 to be produced in silicon?
Hi Papacass,

You've misremembered:



"It is Akida 2 that has been on again - off again".
 
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Comsec app can't handle the pressure..
Volume sold in stocks, going up, then down 🙄...

ASX is possibly struggling with volume of selling/buying too..
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Is there any plausible reason or compelling argument why Qualcomm should "not" use Akida in their chips in the near future?

I don't see why not—unless Qualcomm is already working on a new iteration of Snapdragon that incorporates features similar to AKIDA. How feasible that is, I'm not entirely sure.

As far as I know, the current Snapdragon product isn't neuromorphic, isn't event-based, doesn't operate at ultra-low power, and doesn’t support real-time on-device learning.

Judd Heape, VP of Product Management for Camera, Computer Vision, and Video at Qualcomm Technologies, was quoted in a June 2023 EE Times article saying, “These event-based sensors are much more efficient because they can be programmed to easily detect motion at very low power. When there’s no movement or change in the scene, the sensor consumes almost no power. So that’s really interesting to us.”

In that context, he was referring to Prophesee and image-based sensors, but the underlying principle still applies I would have thought—event-based sensors just make sense. And AKIDA is event-based.

We also know that a drone company is exploring a combination of AKIDA and Prophesee’s camera. Not Snapdragon. That says something.

So why wouldn’t Qualcomm want to integrate our technology to gain a foothold in new markets—especially ones that are battery-powered and highly power-constrained? Surely paying for a licence would be chicken feed for the likes of Qualcomm, so I honestly don't know why they wouldn't be considering it.

Maybe someone with deeper technical insight can weigh in here.




Screenshot 2025-04-07 at 10.53.21 am.png



 
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