So is this why BRN has ben hedging its bets with other "Enablement Partners"?Well then, I suppose that makes Qualcomm our enablement partner.
https://brainchip.com/partners/
So is this why BRN has ben hedging its bets with other "Enablement Partners"?Well then, I suppose that makes Qualcomm our enablement partner.
I can’t help but feel this isn’t great for us…![]()
Edge Impulse to join Qualcomm Technologies! | Edge Impulse (a Qualcomm company)
Edge Impulse to join Qualcomm Technologies! Edge Impulse is pleased to announce that we have entered into an agreement to be acquired by Qualcomm Technologies. This agreement marks an exciting new chapter, opening up new opportunities to scale our technology and impact. Our team and mission...www.linkedin.com
Wow !
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Qualcomm tech is a traditional core system. If it wants Neuromorphic AI it has to import it from a 3rd party.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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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.
Dragonwing is already a developed and implemented suite of products.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.
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.
Thanks, just checked Qualcomm's description of dragonwing.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
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Qualcomm Ann.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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Dragonwing | Qualcomm
Powered by leading-edge on-device AI, computing, and connectivity, Dragonwing products and solutions unlock potential, so today’s industries and businesses can scale to new heights.www.qualcomm.com
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.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.