BRN Discussion Ongoing

Bravo

If ARM was an arm, BRN would be its biceps💪!
Alf Kuchenbuch, VP of Sales at BrainChip, liked Amir Sherman's post on Qualcomm's Edge Impulse Acquisition.




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RobjHunt

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Well that appears to be conflicting a bit to the advice I received from Australian Super BUT I don’t know how you worded the question to Australia Super about the proposed potential delisting from ASX and transferring to a overseas exchange in US. I’m going to send Australian Super a email and see how much different a response I get compared to yours.
Please let us know if yo receive a reply. Would be greatly interested in the response.
 
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manny100

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I notice " game changer" words used aagain.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Thank goodness we're not on the NASDAQ right now is all I can say!



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7für7

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Yeah… and just imagine the 80 year old people….and older …
 
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Chris B

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1000006822.jpg


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.
 
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HopalongPetrovski

I'm Spartacus!
View attachment 78967

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.
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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7für7

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View attachment 78967

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.
Looks like a jukebox to me 🤷🏻‍♂️ great…
 

Chris B

Regular
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. 🤣
Yeah it is...
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
 
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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?





Screenshot 2025-03-11 at 10.58.09 am.png
 
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MDhere

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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?





View attachment 78968

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. :)
 
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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. :)
🙏
 
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manny100

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I was reading this article, not that interesting but makes me think about the Brainchip CEO being attacked by shareholders for not making any meaningful sales. Prophesee has been developing chips using Akida for years. They are now only demonstrating motion sensing. Sounds like still a long way before there will be any saleable products on the market using the chips/technology.

I bought into Brainchip early as I thought the adoption of new technology these days are very quick. But now thinking back, that may be only after the prodcuts are in the market. The iPhone 3 was a big success and took no time before everyone got one but how many years was it on the drawing board before it went to market?

I can understand people wanting to get rich overnight, me included, but we might just have to be that little bit more patient. Brainchip does not sell anything to the general consumer, they only sell the intelligence and knowledge showing people how it can make their edge facing prodcuts that much more effective and efficient.

If Prophese is still working on it, I am sure others like Megachips, MagikEye, Reneses, Arms etc. are also busy designing chips using Akida. The fiinal products are just not in the market yet.

When? I don't know, but the recent success in the areospace industry is surely indicating that the technology works and some of the most brilliant engineers are now working to make rockets fly better. Brainchip seems to be doing a lot of right things, like making the technology better (TENNS, Pico etc), partnering with the worlds best chip makers, car manufacturers, rockert builders and show casing our technology in every AI venue worth doing etc.

So instead of just bitching about management not doing anything for the shareholders, may be they need a pat on the back once in a while to show our understanding and keep their morale up.

I just hope Brainchip will make it big before they run out of our support.
Agree, it's only a matter of time.
 
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manny100

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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?





View attachment 78968

'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.
 
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'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.
What’s stopping Qualcomm stopping edge impulse using us? Especially if we are a competitor
 
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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.

 
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What’s stopping Qualcomm stopping edge impulse using us? Especially if we are a competitor
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.



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.




Screenshot_2025-03-11-10-21-20-53_4641ebc0df1485bf6b47ebd018b5ee76.jpg
 
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Slade

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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.



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.




View attachment 78969
“Jan Jongboom and I set out to democratize machine learning on edge compute for millions of developers.”

Then we sold it to Qualcomm.
 
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manny100

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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.



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.




View attachment 78969
Good post FMF, ta
 
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