BRN Discussion Ongoing

[AARONASX]

FYI, this has not started yet...but save it

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]

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.

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

 

[Slade]

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

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.

 

[manny100]

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

View attachment 78969

Good post FMF, ta

 

[Xray1]

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

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.
Like always DYOR

 

[Slade]

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.
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]

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

Then we sold it to Qualcomm.

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

 

[manny100]

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?

 

[Fullmoonfever]

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.

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.
Like always DYOR

Not certain that's how it will work myself but could be wrong.

You still need the hardware / IP to run the process on eg datasets, models etc (EI assist Devs with the creation of these) but EI don't own the hardware / IP, we do.

As EI says:

"Build datasets, train models, and optimize libraries to run directly on device; from the smallest microcontrollers to gateways with the latest neural accelerators (and anything in between)."

 

[Slade]

Not certain that's how it will work myself but could be wrong.

You still need the hardware / IP to run the process on eg datasets, models etc (EI assist Devs with the creation of these) but EI don't own the hardware / IP, we do.

As EI says:

"Build datasets, train models, and optimize libraries to run directly on device; from the smallest microcontrollers to gateways with the latest neural accelerators (and anything in between)."

@Fullmoonfever it will be interesting to watch how things unfold over the next year or so.

 

[Diogenese]

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.
Like always DYOR

I'm guessing that, because EI works with several companies who are mutual competitors, they would need to have established Chinese walls to prevent cross-company information flow to protect each comapny's IP/confidntial information, and I'm hoping that these restrictions continue under the new regieme.

 

[toasty]

I'm guessing that, because EI works with several companies who are mutual competitors, they would need to have established Chinese walls to prevent cross-company information flow to protect each comapny's IP/confidntial information, and I'm hoping that these restrictions continue under the new regieme.

When I was in the game there was a thing called "co-opertition"...................

 

[JoMo68]

I'm guessing that, because EI works with several companies who are mutual competitors, they would need to have established Chinese walls to prevent cross-company information flow to protect each comapny's IP/confidntial information, and I'm hoping that these restrictions continue under the new regieme.

I hope this doesn’t end up the way of the Arm/Qualcomm/Nuvia stouch. ‘Acquisition/IP’ via the ‘back door’ ….

 

[Diogenese]

I hope this doesn’t end up the way of the Arm/Qualcomm/Nuvia stouch. ‘Acquisition/IP’ via the ‘back door’ ….

 

[Drewski]

I hope this doesn’t end up the way of the Arm/Qualcomm/Nuvia stouch. ‘Acquisition/IP’ via the ‘back door’ ….

Sounds painful and unproductive, would that also mean Brn being violated - no revenue?

 

[TECH]

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.

Hi Slade,

It's a roller-coaster mate....are we in or are we out, are we ??

So much speculation, and I wonder why, we have always had so many questions about how and why our company make certain
decisions, lets be honest here, Sean, as far as he is concerned is only 3.5 years into building a companies credibility with customers,
potential or otherwise, I think the Board is strong enough to pull Sean into line if they think he's leading the company down a dead
end ally, but like you I'd suggest, we all wish to see something more solid by 4 years into a 5 year plan, so I guess he's expecting
fireworks over the next 9 months !

On a very positive note, Peter told me awhile ago when Tony was about to takeover his role that, Tony was a go-getter, he doesn't
mess around, this to me is exactly what I've witnessed, he is pretty active on Linkedin, some of his comments are quite detailed, he
clearly is proud of where Peter and Anil left off and has taken the reins in a no-mucking around approach.

I like his style, and tomorrow, later in the day will be making a presentation at Nuremberg, he has a different type of personality than
Peter or Anil, who are both reserved, and I say that with the utmost respect, I love Peter and Anil, true gentlemen and the true face of
Brainchip forever.

I have a question for some whom have commented about the move to the US market, if it's not a Nasdaq Listing, why bother ?

My views are clear, convince me why this move is key by years end, early 2026, I'd like Antonio to sell me the idea, let's be honest,
he's the gun IP salesman ! Apparently !

No Regerts (bloody tattoo).......Tech

 

[manny100]

Does anyone know the answer to this 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 referred to in his Linkedin post?

 

[rgupta]

Hi Slade,

It's a roller-coaster mate....are we in or are we out, are we ??

So much speculation, and I wonder why, we have always had so many questions about how and why our company make certain
decisions, lets be honest here, Sean, as far as he is concerned is only 3.5 years into building a companies credibility with customers,
potential or otherwise, I think the Board is strong enough to pull Sean into line if they think he's leading the company down a dead
end ally, but like you I'd suggest, we all wish to see something more solid by 4 years into a 5 year plan, so I guess he's expecting
fireworks over the next 9 months !

On a very positive note, Peter told me awhile ago when Tony was about to takeover his role that, Tony was a go-getter, he doesn't
mess around, this to me is exactly what I've witnessed, he is pretty active on Linkedin, some of his comments are quite detailed, he
clearly is proud of where Peter and Anil left off and has taken the reins in a no-mucking around approach.

I like his style, and tomorrow, later in the day will be making a presentation at Nuremberg, he has a different type of personality than
Peter or Anil, who are both reserved, and I say that with the utmost respect, I love Peter and Anil, true gentlemen and the true face of
Brainchip forever.

I have a question for some whom have commented about the move to the US market, if it's not a Nasdaq Listing, why bother ?

My views are clear, convince me why this move is key by years end, early 2026, I'd like Antonio to sell me the idea, let's be honest,
he's the gun IP salesman ! Apparently !

No Regerts (bloody tattoo).......Tech

The more I think more I feel this company is very good for traders and is equally bad for investors. You could had made millions by trading this stock, but you will end up frustrated as an investor. To be Frank the stock was not ready to listing 10 years ago. Since then there are a lot of assurances but very little achievements. But see it goes from 20 cents to 90 cents in a few days and then back to 30 cents, again 70 cents to 2.34 in a couple of weeks and then back to 13 cents and in between there was nothing but news and a momentum created by traders.
The last announcement of moving to US without a plan almost broke the long term investors in this company. It only shows they have no regard to someone who believe in them.
So let us stay tuned and see what else they are saying. Definately exiting at these low SP will only a suicide but who knows what is there in future.
Dyor

 

[manny100]

Does anyone know the answer to this 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 referred to in his Linkedin post?

Ok, i will make a call.
The LLM model based TENNs very much looks like an addition to BRN's original TENNs framework. The initial release of TENNs focused on efficiently processing spatiotemporal data. LLM's to my knowledge was not on the menu at that time - in a big way anyway.
So it fits in with TL's " new invention " comments.
Correct me if I am wrong.

 

[manny100]

or is the 'new invention' the" Akida 2 FPGA platform" that will be working with Prophesee at the demonstration?