BRN Discussion Ongoing

Diogenese

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manny100

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Correct me if i am wrong but i believe Edge Impulse itself is not a neuromorphic system. It is a machine learning development platform. AKIDA 1000 gives Edge Impulse access to Neuromorphic capabilities.
The Qualcomm core is a traditional system. If it wants Neuromorphic capabilities it has to import it from a 3rd party.
Qualcomm may or may not want Edge Impulse for what it has developed using AKIDA 1000?
Its wait and see.
 
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JoMo68

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Wow !

View attachment 78940
I can’t help but feel this isn’t great for us…🤔 I hope we’re not squeezed out and replaced by Qualcomm tech. I hope I’m way off the mark though 🙏
 
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manny100

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I can’t help but feel this isn’t great for us…🤔 I hope we’re not squeezed out and replaced by Qualcomm tech. I hope I’m way off the mark though 🙏
Qualcomm tech is a traditional core system. If it wants Neuromorphic AI it has to import it from a 3rd party.
 
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Diogenese

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Correct me if i am wrong but i believe Edge Impulse itself is not a neuromorphic system. It is a machine learning development platform. AKIDA 1000 gives Edge Impulse access to Neuromorphic capabilities.
The Qualcomm core is a traditional system. If it wants Neuromorphic capabilities it has to import it from a 3rd party.
Qualcomm may or may not want Edge Impulse for what it has developed using AKIDA 1000?
Its wait and see.

Qualcomm have their in-house Hexagon NPU which grew out of a DSP:

https://www.qualcomm.com/products/technology/processors/hexagon
The star of the Qualcomm® AI Engine
The Hexagon NPU, designed from the ground up for accelerating AI inference at low power, features the industry’s most advanced NPU architecture—evolving along with the development of new AI use cases, models, and requirements.


... but it's pretty feeble as they share the AI load between the NPU, CPU, and GPU with increasing load.

What is the benefit of heterogeneous computing for AI?​


Heterogeneous computing for AI allows new AI instructions or hardware accelerators to be inserted into each processor. This processor diversity allows the architecture to continuously evolve for heterogenous computing features, in turn maximizing performance and power efficiency. This is beneficial as most other chipset vendors typically license several third-party processors, which cannot guarantee if they will fit or work under the same constraints.

The Qualcomm AI Engine, featured in our Snapdragon platforms and many of our other products, is at the core of our on-device AI and heterogenous computing advantage. With the CPU, GPU, NPU and Qualcomm Sensing Hub all working together and the result of many years of full-stack AI optimization, the Qualcomm AI Engine provides best-in-class on-device AI performance at extremely low power to support use cases today and in the future
.

https://www.qualcomm.com/content/dam/qcomm-martech/dm-assets/images/uploads/npus.png

1741608118771.png
 
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I presume Edge Impulse partnered with us because we make the Edge Impulse product better. In turn Dragonwing gets the neuromorphic AI it can only get from a 3rd party.
We all know the benefits of using AKIDA 1000.
Dragonwing is already a developed and implemented suite of products.


Not saying they "can't" add some neuromorphic sauce later, but they don't "need" it now.

Plus Qualcomm is an American Company and many here, seem to want to exclude BrainChip from the US markets, until they have proven themselves in other smaller markets.
 
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Diogenese

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For what it's worth, although I’m sure it’s not much, I always felt Qualcomm had more to gain by siding with us. That said, I honestly wouldn’t know a semiconductor from a piece of toast.🥴

My thoughts tend to focus on "efficiency", and I’m not convinced Qualcomm can match us when it comes to ultra-low power performance???

Qualcomm have been circling around Prophesee, but Prophesee seemingly found its perfect match with us. So, let’s just wait and see how this plays out.

From my completely non-technical perspective, I’ve always thought Qualcomm’s real challenge lay in areas like gesture recognition where an event-based, ultra-low power approach (i.e. Prophesee+BrainChip) might be the answer. They have always touted their "low power" capabilities, but I’ve had the feeling that we might present an opportunity to help them improve.

Time will tell.


Akida models are unique. Many of them have been built with Edge Impulse.

Let's hope the BRN/Edge Impulse NDA is watertight.

PS: Semiconductors are more like chips than toast.
 
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Diogenese

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manny100

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Qualcomm have their in-house Hexagon NPU which grew out of a DSP:

https://www.qualcomm.com/products/technology/processors/hexagon
The star of the Qualcomm® AI Engine
The Hexagon NPU, designed from the ground up for accelerating AI inference at low power, features the industry’s most advanced NPU architecture—evolving along with the development of new AI use cases, models, and requirements.


... but it's pretty feeble as they share the AI load between the NPU, CPU, and GPU with increasing load.

What is the benefit of heterogeneous computing for AI?​


Heterogeneous computing for AI allows new AI instructions or hardware accelerators to be inserted into each processor. This processor diversity allows the architecture to continuously evolve for heterogenous computing features, in turn maximizing performance and power efficiency. This is beneficial as most other chipset vendors typically license several third-party processors, which cannot guarantee if they will fit or work under the same constraints.

The Qualcomm AI Engine, featured in our Snapdragon platforms and many of our other products, is at the core of our on-device AI and heterogenous computing advantage. With the CPU, GPU, NPU and Qualcomm Sensing Hub all working together and the result of many years of full-stack AI optimization, the Qualcomm AI Engine provides best-in-class on-device AI performance at extremely low power to support use cases today and in the future
.

https://www.qualcomm.com/content/dam/qcomm-martech/dm-assets/images/uploads/npus.png

View attachment 78946
Thanks, just checked Qualcomm's description of dragonwing.
It says "powered by leading-edge on- device, AI, computing and connectivity"
It does mention Neuromorphic AI at all but 'leading-edge on-device confuses things a little.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Just checking out some of the "likes" again on Tony Lewis' recent LinkedIn post.

Screenshot 2025-03-10 at 11.35.21 pm.png


Screenshot 2025-03-10 at 11.35.57 pm.png


Screenshot 2025-03-10 at 11.37.21 pm.png




 
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manny100

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Thanks, just checked Qualcomm's description of dragonwing.
It says "powered by leading-edge on- device, AI, computing and connectivity"
It does mention Neuromorphic AI at all but 'leading-edge on-device confuses things a little.
Qualcomm Ann.

 
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Beebo

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Maybe, just maybe, redomiciling to the US is also intended to facilitate potential M&A. Companies tend to ‘clean house’ years in advance of strategic maneuvers.

Would ARM be interested in BRN?
Would AVGO be interested in BRN?
Would QCOM be interested in BRN?
 
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manny100

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I forgot that Edge Impulse has integrated AKIDA into its platform and according to the BRN news release in Jan'25 is a key partner in our Edge Box.
Edge Impulse in our Edge Box in Jan'25 and taken over by Qualcomm in March'25.. . hmmmm.
 
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manny100

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Qualcomm have now got access to Neuromorphic AI and its benefits through the back door.
I would not be surprised if we see Qualcomm develop some Neuromirphic chips. They have rooms full of developers who will enjoy playing with the Edge Impulse Platform containing AKIDA.
 
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Esq.111

Fascinatingly Intuitive.
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IloveLamp

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IloveLamp

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charles2

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Balliwood

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Brainchip reality



I am an old man, who was into system analysis and pattern recognition 60 years ago so I was a soft target when I learned of Brainchip, 10 years back. W.A. has seemed like the California of Australia, with many bright, young companies in so many fields. One could imagine an organic progression for Brainchip, from local adoption, to expansion into Asia, then Europe and the USA. So I was dismayed by the emergence of a focus on the US - card detection in Las Vegas, then Studio, then an office in California, then the appointment of a manifestly inadequate CEO, whose IP strategy was all wrong for an emerging technology, to the shutting down of the Parth research centre, to now, when this IP company is almost entirely supported by a 4-year old chip (3 year lead?), yet without the wherewithal to make a successor.



We are still perceived as an Aussie minnow, whose NDA prospects will not sign up, clever as we are, lest we do not survive. So, the theory goes, we must redomicile to the US, to appear on their exchanges, in order to be taken seriously..



But all our staff are in USA, most of our marketing is there. Our malaise is deeper than ASX or Nasdaq. I think we have stalled, just as the wave is passing under us. Where is our new leader, paddling hard, hanging 10 and whooping us down the face?
 
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Qualcomm have now got access to Neuromorphic AI and its benefits through the back door.
I would not be surprised if we see Qualcomm develop some Neuromirphic chips. They have rooms full of developers who will enjoy playing with the Edge Impulse Platform containing AKIDA.
I think it is safe to say that money and power has won the day. Qualcomm seem to have strategically cut Brainchip off at the pass with this blocking stake in Edge Impulse. They, like every other chip company are going to favour their in house developed technology. Dragon wing is most likely going to be front and centre in future development work through edge impulse. Unlikely they will be allowing third party products in any back door.

Like Dio said, this is probably why Brainchip have multiple enablement partners. One trick ponies have a habit of been sent to the cannery when lame.

I still haven’t seen any likes on LinkedIn from Brainchip on this acquisition. It’s highly likely they are unimpressed. Might explain why Edge Impulse aren’t presenting with them at embedded world at Germany.

Edit: Steve Brightfield likes it. Why? Time will tell?
 
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