BRN Discussion Ongoing
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I asked Grok to tell me about this picture and this is reply. No Idea if accurate.. maybe others will confirm...
- Left Device (BrainChip):
- This is a BrainChip neuromorphic computing device, clearly labeled "brainchip" on the front of the case. The design is compact and boxy, with a perforated exterior for ventilation and a transparent top panel revealing internal components.
- Visible inside is a fan and some circuitry, including what appears to be a heat sink or processor cover. The layout is minimalistic, consistent with a focus on efficiency rather than high-density hardware, aligning with BrainChip’s Akida technology for edge AI.
- The case design suggests it could be a development kit (e.g., Akida Development Kit) or a standalone neuromorphic processor module, possibly the Akida PCIe card or a similar prototype.
- Right Device (EVGA-Based PC):
- This is a traditional PC with a side panel removed, showcasing its internal components. The case is larger and more complex than the BrainChip device, with a red motherboard and various cables visible.
- A prominent feature is the graphics card labeled "EVGA" with "3D GH" partially visible, which might indicate an older model (e.g., GTX series like the GTX 970 or 1080, though "GH" could be a mislabeling or shorthand). The card has a red and black color scheme, typical of EVGA’s high-performance GPUs.
- Additional components include a CPU cooler, a red motherboard, and a label or sticker (possibly a warranty or spec tag) attached to the case. The blue LED lights on the front suggest a gaming or enthusiast setup, and the presence of USB ports indicates connectivity options.
HopalongPetrovski
I'm Spartacus!
Isn't the right hand image just a side view of the left hand image?
Maybe Grok's been smoking one too many Elon's and is hallucinating.
I wonder if an Akida enabled device would have picked that up?
Remember when they one-shotted it a view of a tiger and then it could recognise it from other angles.
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Looks like a jukebox to me
great…Yeah it is...Isn't the right hand image just a side view of the left hand image?
Maybe Grok's been smoking one too many Elon's and is hallucinating.
Side View: Reveals more components, including:
- A red PCB or heat spreader, initially mistaken for a motherboard but likely part of the Akida processor assembly or a carrier board for the chip.
Just done to see if it could give more insight to what's under the hood. Not that I really understand. Lots of computer smart people on forum
Bravo
If ARM was an arm, BRN would be its biceps💪!
Remember this corker of a quote from Spencer Huang, Chief Revenue Officer at Edge Impulse when he was being interviewed by Nandan Nayampally, CMO at BrainChip in the January 2024 podcast.
"I really applaud BrainChip for your technology and your intellectual property and I see every silicon vendor, every device will have your technology or neuromorphic-type technology in it. AI accelerate. This is going to be the norm."
11.54 mins
Then there was also the January 2025 podcast where Spencer Huang talked about how AKIDA is pushing the boundaries of what is possible in edge AI and "making science fiction a reality".
So, if AKIDA is pushing the boundaries of what is possible in edge AI and Qualcomm want to dominate the edge AI market, then wouldn't it make sense for Qualcomm to want to collaborate with us?
"I really applaud BrainChip for your technology and your intellectual property and I see every silicon vendor, every device will have your technology or neuromorphic-type technology in it. AI accelerate. This is going to be the norm."
11.54 mins
Then there was also the January 2025 podcast where Spencer Huang talked about how AKIDA is pushing the boundaries of what is possible in edge AI and "making science fiction a reality".
So, if AKIDA is pushing the boundaries of what is possible in edge AI and Qualcomm want to dominate the edge AI market, then wouldn't it make sense for Qualcomm to want to collaborate with us?
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MDhere
Top 20
I agree Bravo. Brainchip has done numerous of podcasts and interviews including with Qualcomm. I don't see any company's making podcasts with competitors.
You don't see podcasts with Mercedes and Ferrari talking together, Nestle with Cadbury, Nescafe with Moconna.
SO it's reasonable and logical to believe the podcasts generated by Brainchip have a indirect (for now) benefit to both the interviewer and interviewee.
Amen.
JoMo68
Regular
I agree Bravo. Brainchip has done numerous of podcasts and interviews including with Qualcomm. I don't see any company's making podcasts with competitors.
You don't see podcasts with Mercedes and Ferrari talking together, Nestle with Cadbury, Nescafe with Moconna.
SO it's reasonable and logical to believe the podcasts generated by Brainchip have a indirect (for now) benefit to both the interviewer and interviewee.
Amen.
'Bravo' Bravo, I bet Qualcomm dip their toes in the AKIDA pond in due course.
Will any of the 'biggies' ignore the Neuromorphic Edge entirely? Likely not.
There is a world of difference between what Qualcomm currently says is their Edge AI and the real world of AKIDA's EdgeAI.
Pom down under
Top 20
What’s stopping Qualcomm stopping edge impulse using us? Especially if we are a competitor
AARONASX
Holding onto what I've got
FYI, this has not started yet...but save it
Edit: AMA session, now is a good time to ask if Brainchip is involved.
www.youtube.com
Edit: AMA session, now is a good time to ask if Brainchip is involved.
AMA session with Qualcomm and Edge Impulse
Qualcomm Technologies announced its entry into an agreement to acquire Edge Impulse, which is bringing support for Qualcomm Dragonwing processors and integra...
www.youtube.com
Fullmoonfever
Top 20
I guess part of what makes Edge Impulse...well...Edge Impulse, is that it was designed as per the below excerpt from Zac Shelby on their site yesterday.
If Qualcomm try to modify EI to be solely related to Qualcomm then you would suspect it detracts from the core market EI was created for and removes alot of flexibility that many Devs out there were attracted to in the first place.
No doubt Qualcomm will have their products front and centre and why wouldn't they but I would think the options for Devs and partners will still be in play.
Our Next Chapter: Edge Impulse is Joining Forces with Qualcomm Technologies!
Today, Edge Impulse is excited to announce its next step forward — we’ve signed an agreement to join the Qualcomm Technologies team.
www.edgeimpulse.com
In 2019, Jan Jongboom and I set out to democratize machine learning on edge compute for millions of developers. Recognizing that the compute capabilities of microcontrollers had grown to the point where they were able to run domain specific AI models directly onboard, we realized there were an endless number of use cases that would benefit from moving AI from the cloud to the edge. But there was a missing piece: a way to easily build, optimize, and deploy edge and domain-specific AI models onto these devices.
Together we launched Edge Impulse, an end-to-end platform that streamlines the edge AI workflow. Instead of having to manually collect and format data, hand-code and train model architectures, convert and compile models, and test for viability, Edge Impulse gives developers a tool that automates data collection, simplifies model training, provides advanced optimization tools, and offers one-click deployment to many types of hardware, from MCUs to CPUs, GPUs, and NPUs.
From their FAQ on the acquisition reiterating support for existing partners and hardware.
Edge Impulse FAQ for edge AI - Edge AI insights FAQ for business leaders and developers
Discover everything you need to know about Edge Impulse, and our edge AI capabilities with our comprehensive FAQ. Whether you’re a business leader seeking to leverage edge AI for a strategic advantage or an engineer/developer looking to build ML models and deploy to edge devices, our FAQ offers...
edgeimpulse.com
“Jan Jongboom and I set out to democratize machine learning on edge compute for millions of developers.”I guess part of what makes Edge Impulse...well...Edge Impulse, is that it was designed as per the below excerpt from Zac Shelby on their site yesterday.
If Qualcomm try to modify EI to be solely related to Qualcomm then you would suspect it detracts from the core market EI was created for and removes alot of flexibility that many Devs out there were attracted to in the first place.
No doubt Qualcomm will have their products front and centre and why wouldn't they but I would think the options for Devs and partners will still be in play.
Our Next Chapter: Edge Impulse is Joining Forces with Qualcomm Technologies!
Today, Edge Impulse is excited to announce its next step forward — we’ve signed an agreement to join the Qualcomm Technologies team.
In 2019, Jan Jongboom and I set out to democratize machine learning on edge compute for millions of developers. Recognizing that the compute capabilities of microcontrollers had grown to the point where they were able to run domain specific AI models directly onboard, we realized there were an endless number of use cases that would benefit from moving AI from the cloud to the edge. But there was a missing piece: a way to easily build, optimize, and deploy edge and domain-specific AI models onto these devices.
Together we launched Edge Impulse, an end-to-end platform that streamlines the edge AI workflow. Instead of having to manually collect and format data, hand-code and train model architectures, convert and compile models, and test for viability, Edge Impulse gives developers a tool that automates data collection, simplifies model training, provides advanced optimization tools, and offers one-click deployment to many types of hardware, from MCUs to CPUs, GPUs, and NPUs.
From their FAQ on the acquisition reiterating support for existing partners and hardware.
Edge Impulse FAQ for edge AI - Edge AI insights FAQ for business leaders and developers
Discover everything you need to know about Edge Impulse, and our edge AI capabilities with our comprehensive FAQ. Whether you’re a business leader seeking to leverage edge AI for a strategic advantage or an engineer/developer looking to build ML models and deploy to edge devices, our FAQ offers...
View attachment 78969
Then we sold it to Qualcomm.
Good post FMF, taI guess part of what makes Edge Impulse...well...Edge Impulse, is that it was designed as per the below excerpt from Zac Shelby on their site yesterday.
If Qualcomm try to modify EI to be solely related to Qualcomm then you would suspect it detracts from the core market EI was created for and removes alot of flexibility that many Devs out there were attracted to in the first place.
No doubt Qualcomm will have their products front and centre and why wouldn't they but I would think the options for Devs and partners will still be in play.
Our Next Chapter: Edge Impulse is Joining Forces with Qualcomm Technologies!
Today, Edge Impulse is excited to announce its next step forward — we’ve signed an agreement to join the Qualcomm Technologies team.
In 2019, Jan Jongboom and I set out to democratize machine learning on edge compute for millions of developers. Recognizing that the compute capabilities of microcontrollers had grown to the point where they were able to run domain specific AI models directly onboard, we realized there were an endless number of use cases that would benefit from moving AI from the cloud to the edge. But there was a missing piece: a way to easily build, optimize, and deploy edge and domain-specific AI models onto these devices.
Together we launched Edge Impulse, an end-to-end platform that streamlines the edge AI workflow. Instead of having to manually collect and format data, hand-code and train model architectures, convert and compile models, and test for viability, Edge Impulse gives developers a tool that automates data collection, simplifies model training, provides advanced optimization tools, and offers one-click deployment to many types of hardware, from MCUs to CPUs, GPUs, and NPUs.
From their FAQ on the acquisition reiterating support for existing partners and hardware.
Edge Impulse FAQ for edge AI - Edge AI insights FAQ for business leaders and developers
Discover everything you need to know about Edge Impulse, and our edge AI capabilities with our comprehensive FAQ. Whether you’re a business leader seeking to leverage edge AI for a strategic advantage or an engineer/developer looking to build ML models and deploy to edge devices, our FAQ offers...
View attachment 78969
IMO.... I think that Qualcomm knew all along as did Edge Impulse, that BrainChip as a Co and its technology wasn't up for sale nor any takeover target at any cost. Accordingly, imo Qualcomm knew quite well, that Edge Impulse has had a very long-standing association with BRN and who have jointly and extensively researched, experimented, tested, supported and adopted Akida IP with their own ei requirements over many years, at most likely a very significant / substantial financial cost. It's my view, that Qualcomm, just hasn't walked into this agreement with edge impulse purely by chance without firstly doing any of their own due diligence on both Edge Impulse and their partners or associates, unless there was a potential financial gain in it for them and as a potential back-door / foothold into BRN's technologically advanced Neuromorphic AI IP technology, which could in turn and most likely extend upon what Qualcomm can expand upon within their own current at the edge AI offerings as well as the only commercially available Neuromorphic AI products and solutions.I guess part of what makes Edge Impulse...well...Edge Impulse, is that it was designed as per the below excerpt from Zac Shelby on their site yesterday.
If Qualcomm try to modify EI to be solely related to Qualcomm then you would suspect it detracts from the core market EI was created for and removes alot of flexibility that many Devs out there were attracted to in the first place.
No doubt Qualcomm will have their products front and centre and why wouldn't they but I would think the options for Devs and partners will still be in play.
Our Next Chapter: Edge Impulse is Joining Forces with Qualcomm Technologies!
Today, Edge Impulse is excited to announce its next step forward — we’ve signed an agreement to join the Qualcomm Technologies team.
In 2019, Jan Jongboom and I set out to democratize machine learning on edge compute for millions of developers. Recognizing that the compute capabilities of microcontrollers had grown to the point where they were able to run domain specific AI models directly onboard, we realized there were an endless number of use cases that would benefit from moving AI from the cloud to the edge. But there was a missing piece: a way to easily build, optimize, and deploy edge and domain-specific AI models onto these devices.
Together we launched Edge Impulse, an end-to-end platform that streamlines the edge AI workflow. Instead of having to manually collect and format data, hand-code and train model architectures, convert and compile models, and test for viability, Edge Impulse gives developers a tool that automates data collection, simplifies model training, provides advanced optimization tools, and offers one-click deployment to many types of hardware, from MCUs to CPUs, GPUs, and NPUs.
From their FAQ on the acquisition reiterating support for existing partners and hardware.
Edge Impulse FAQ for edge AI - Edge AI insights FAQ for business leaders and developers
Discover everything you need to know about Edge Impulse, and our edge AI capabilities with our comprehensive FAQ. Whether you’re a business leader seeking to leverage edge AI for a strategic advantage or an engineer/developer looking to build ML models and deploy to edge devices, our FAQ offers...
View attachment 78969
Like always DYOR
Maybe. And maybe they just want to slow down the adoption of their competitor’s technology while pushing forward their own.
Be good to hear from someone from BrainChip comment.
Fullmoonfever
Top 20
Money talks I s'pose.
A language BRN are still trying to learn properly to communicate with their clients & SH's....suggest they got it down pat internally though
Question:
From the news release today:
" BrainChip will also demonstrate its edge LLM model based on Temporal Enabled-Neural Networks (TENNs) at the event."
Was the LLM model included in the original TENN's release or added shortly after or is it a 'brand new' addition we were not aware of?
Is it the " new invention" Tony Lewis refered to in his Linkedin post?
From the news release today:
" BrainChip will also demonstrate its edge LLM model based on Temporal Enabled-Neural Networks (TENNs) at the event."
Was the LLM model included in the original TENN's release or added shortly after or is it a 'brand new' addition we were not aware of?
Is it the " new invention" Tony Lewis refered to in his Linkedin post?
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