BRN Discussion Ongoing

[rgupta]

My thoughts right now Get are ones of concern.

For mine, the announcement that Brainchip was considering moving to a US listing was a genuine shock. I contacted the company about my concerns, which centred around the following premise…that unless there was at least one major revenue generating deal announced, that would increase the share price significantly, then it would be grossly premature to move to a US listing. I added that existing shareholders value would be destroyed if the company moved without at least one major revenue producing deal in the kit bag.

The response from the company shocked me even more than their original announcement to consider moving. I was told, that because of the ASX disclosure rules, a major deal may never happen. I was told that the entities Brainchip was dealing with might never do business with us whilst we were listed on the ASX, because they were not prepared to risk being forced to reveal financial details, and information about how they were going to use our IP.

This prompted my discussions with the ASX about their interpretation of their very own disclosure rules, particularly rule 3.1A. They told me very clearly, that if Brainchip and a customer wanted to maintain confidentiality about a deal they were contemplating, then the onus was on both parties to remain silent about it. As long as confidentiality remained, there was no requirement to disclose the deal…it could remain confidential under ASX disclosure rule 3.1A.

When I told the company this, I used both the unnecessary Ford ASX announcement back in May 2020, that most likely caused Ford to end their collaboration with us, and Mercedes self outing themselves with press releases in January 2022, which has caused complete silence from them about us ever since.

Love them or hate them…after my discussions with the ASX, I cannot believe that the company would consider a premature, highly damaging for existing shareholders move to a US listing, because of the ASX disclosure rules.

Call me a conspiracy theorist…but I believe there is another agenda .

So these are my thoughts right now Get.

I think that should had been considered before listing the company on ASX. But believe me this management is not standing on their words from day one. There are so many loop holes all the time to tweak around, but yes if there is nothing on the table it is better to say table is not sturdy enough to put something on table.
Dyor

 

[Food4 thought]

Alright. Let’s imagine you personally employed Sean as the CEO of your company and were conducting his annual performance review. How would you rate his performance over the past 12 months, on a scale of 1 to 10?

The only trouble with this is we as shareholders don’t know shit.
Sure lots of dot joining and media announcements but we don’t have a clue of what’s really going on behind closed doors.
I just hope that everything is kosher and we are in the winners circle.
I try to keep the faith in the BOD and our CEO but sometimes it runs thin.
I think if we were to get more positive news from Sean things would be much better. But he is always hiding

 

[rgupta]

You seem to forget that he (Sean) did not employ himself, he was picked by our board and founders of the company.
He would have been offered a package by them, considered commensurate with the requirements of the position.
So who is really responsible. And who first termed the phrase "rapid commercialization".

We need to stop thinking like peanuts, and realize this is not an Australia centric company, it's trying to be an international company, and should not be run by a bunch of geriatric Aussies.

You have a point, but how much he proved himself in last 3&1/2 years. We cannot keep on paying for our mistakes repeatedly.
Had Sean shown us the results, we need not be discussing this remuneration report at all, we could easily be sleeping and enjoying our holdings. But we are discussing the same we the results are not what we were expected from him.
So may be it was a wrong decision and it should be changed.
Dyor

 

[Rach2512]

#sky130 #snn #neuromorphic #opensourceeda #openroad #nhsengland… | Arfan Ghani, Ph.D., CEng, FHEA (UK) | 10 comments

Happy to share another addition to our portfolio, a neuromorphic spiking neural classifier core for speech classification and noise cancellation using Skywater open-source 130nm PDK. This design features a fully automated end-to-end implementation using a deep SNN pipeline and has been fully...

www.linkedin.com

Andrew Wright SVP New Product Introduction from Efabless Corporation, showing interest.

Company

About Efabless

efabless.com

 

[Bravo]

I wonder if this whole redomiciling proposal is just a distraction from the uncomfortable reality that widespread usage and meaningful revenue may still be 5 to 10 years away?





Trends in Neuromorphic Computing CIOs Should Know
Neuromorphic computing technology is advancing rapidly. What does this mean for CIOs and their organizations?

John Edwards, Technology Journalist & Author
April 14, 2025
5 Min Read

Science Photo Library via Alamy Stock Photo

Neuromorphic computing is the term applied to computer elements that emulate the way the human brain and nervous system function. Proponents believe that the approach will take artificial intelligence to new heights while reducing computing platform energy requirements.
"Unlike traditional computing, which incorporates separate memory and processors, neuromorphic systems rely on parallel networks of artificial neurons and synapses, similar to biological neural networks," observes Nigel Gibbons, director and senior advisor at consulting firm NCC Group in an online interview.

Potential Applications​

The current neuromorphic computing application landscape is largely research-based, says Doug Saylors, a partner and cybersecurity co-lead with technology research and advisory firm ISG. "It's being used in multiple areas for pattern and anomaly detection, including cybersecurity, healthcare, edge AI, and defense applications," he explains via email.
Potential applications will generally fall into the same areas as artificial intelligence or robotics, says Derek Gobin, a researcher in the AI division of Carnegie Mellon University's Software Engineering Institute. "The ideal is you could apply neuromorphic intelligence systems anywhere you would need or want a human brain," he notes in an online interview.


"Most current research is focused on edge-computing applications in places where traditional AI systems would be difficult to deploy, Gobin observes. Many neuromorphic techniques also intrinsically incorporate temporal aspects, similar to how the human brain operates in continuous time, as opposed to the discrete input-output cycles that artificial neural networks utilize." He believes that this attribute could eventually lead to the development of time-series-focused applications, such as audio processing and computer vision-based control systems.

Current Development​

As with quantum computing research, there are multiple approaches to both neuromorphic hardware and algorithm development, Saylors says. The best-known platforms, he states, are BrainScaleS and SpiNNaker. Other players include GrAI Matter labs and BrainChip.

Neuromorphic strategies are a very active area of research, Gobin says. "There are a lot of exciting findings happening every day, and you can see them starting to take shape in various public and commercial projects." He reports that both Intel and IBM are developing neuromorphic hardware for deploying neural models with extreme efficiency. "There are also quite a few startups and government proposals looking at bringing neuromorphic capabilities to the forefront, particularly for extreme environments, such as space, and places where current machine learning techniques have fallen short of expectations, such as autonomous driving."

Next Steps​

Over the short term, neuromorphic computing will likely be focused on adding AI capabilities to specialty edge devices in healthcare and defense applications, Saylors says. "AI-enabled chips for sensory use cases are a leading research area for brain/spinal trauma, remote sensors, and AI enabled platforms in aerospace and defense," he notes.
An important next step for neuromorphic computing will be maturing a technology that has already proven successful in academic settings, particularly when it comes to scaling, Gobin says. "As we're beginning to see a plateau in performance from GPUs, there's interest in neuromorphic hardware that can better run artificial intelligence models -- some companies have already begun developing and prototyping chips for this purpose."

Another promising use case is event-based camera technology, which shows promise as a practical and effective medium for satellite and other computer vision applications, Gobin says. "However, we have yet to see any of these technologies get wide-scale deployment," he observes. "While research is still very active with exciting developments, the next step for the neuromorphic community is really proving that this tech can live up to the hype and be a real competitor to the traditional hardware and generative AI models that are currently dominating the market."

Looking Ahead​

Given the technology's cost and complexity, coupled with the lack of skilled resources, it's likely to take another seven to 10 years before widespread usage of complex neuromorphic computing occurs, Saylors says. "However, recent research in combining neuromorphic computing with GenAI and emerging quantum computing capabilities could accelerate this by a year or two in biomedical and defense applications."

Mainstream adoption hinges on hardware maturity, cost reduction, and robust software, Gibbons says. "We may see initial regular usage within the next five to 10 years in specialized low-power applications," he predicts. "Some of this will be dictated by the maturation of quantum computing." Gibbons believes that neuromorphic computing's next phase will focus on scaling integrated chips, refining and spiking neural network algorithms, and commercializing low-power systems for applications in robotics, edge AI, and real-time decision-making.
Gibbons notes that neuromorphic computing may soon play an important role in advancing cybersecurity. The technology promises to offer improved anomaly detection and secure authentication, thanks to event-driven intelligence, he explains. Yet novel hardware vulnerabilities, unknown exploit vectors, and data confidentiality remain critical concerns that may hamper widespread adoption.

Trends in Neuromorphic Computing CIOs Should Know

Neuromorphic computing technology is advancing rapidly. What does this mean for CIOs and their organizations?

www.informationweek.com

 

[7für7]

Alright. Let’s imagine you personally employed Sean as the CEO of your company and were conducting his annual performance review. How would you rate his performance over the past 12 months, on a scale of 1 to 10?

Look… Without knowing what’s happening in the background, there’s no point in speculating about what I would do. There are contracts that have to be respected. As long as these contracts are still in effect, I wouldn’t take any action. None of us knows whether he’s being strung along daily because there’s no revenue or contracts in sight … or whether they know something we don’t. I’m not taking part in the yearly small talk.

Everything else I already mentioned in my previous posts.

 

[Smoothsailing]

#sky130 #snn #neuromorphic #opensourceeda #openroad #nhsengland… | Arfan Ghani, Ph.D., CEng, FHEA (UK) | 10 comments

Happy to share another addition to our portfolio, a neuromorphic spiking neural classifier core for speech classification and noise cancellation using Skywater open-source 130nm PDK. This design features a fully automated end-to-end implementation using a deep SNN pipeline and has been fully...

www.linkedin.com

Andrew Wright SVP New Product Introduction from Efabless Corporation, showing interest.

View attachment 82750
View attachment 82751 View attachment 82751

Company

About Efabless

efabless.com

Unfortunately

 

[Smoothsailing]

I wonder if this whole redomiciling proposal is just a distraction from the uncomfortable reality that widespread usage and meaningful revenue may still be 5 to 10 years away?





Trends in Neuromorphic Computing CIOs Should Know
Neuromorphic computing technology is advancing rapidly. What does this mean for CIOs and their organizations?

John Edwards, Technology Journalist & Author
April 14, 2025
5 Min Read

Science Photo Library via Alamy Stock Photo

Neuromorphic computing is the term applied to computer elements that emulate the way the human brain and nervous system function. Proponents believe that the approach will take artificial intelligence to new heights while reducing computing platform energy requirements.
"Unlike traditional computing, which incorporates separate memory and processors, neuromorphic systems rely on parallel networks of artificial neurons and synapses, similar to biological neural networks," observes Nigel Gibbons, director and senior advisor at consulting firm NCC Group in an online interview.

Potential Applications​

The current neuromorphic computing application landscape is largely research-based, says Doug Saylors, a partner and cybersecurity co-lead with technology research and advisory firm ISG. "It's being used in multiple areas for pattern and anomaly detection, including cybersecurity, healthcare, edge AI, and defense applications," he explains via email.
Potential applications will generally fall into the same areas as artificial intelligence or robotics, says Derek Gobin, a researcher in the AI division of Carnegie Mellon University's Software Engineering Institute. "The ideal is you could apply neuromorphic intelligence systems anywhere you would need or want a human brain," he notes in an online interview.


"Most current research is focused on edge-computing applications in places where traditional AI systems would be difficult to deploy, Gobin observes. Many neuromorphic techniques also intrinsically incorporate temporal aspects, similar to how the human brain operates in continuous time, as opposed to the discrete input-output cycles that artificial neural networks utilize." He believes that this attribute could eventually lead to the development of time-series-focused applications, such as audio processing and computer vision-based control systems.

Current Development​

As with quantum computing research, there are multiple approaches to both neuromorphic hardware and algorithm development, Saylors says. The best-known platforms, he states, are BrainScaleS and SpiNNaker. Other players include GrAI Matter labs and BrainChip.

Neuromorphic strategies are a very active area of research, Gobin says. "There are a lot of exciting findings happening every day, and you can see them starting to take shape in various public and commercial projects." He reports that both Intel and IBM are developing neuromorphic hardware for deploying neural models with extreme efficiency. "There are also quite a few startups and government proposals looking at bringing neuromorphic capabilities to the forefront, particularly for extreme environments, such as space, and places where current machine learning techniques have fallen short of expectations, such as autonomous driving."

Next Steps​

Over the short term, neuromorphic computing will likely be focused on adding AI capabilities to specialty edge devices in healthcare and defense applications, Saylors says. "AI-enabled chips for sensory use cases are a leading research area for brain/spinal trauma, remote sensors, and AI enabled platforms in aerospace and defense," he notes.
An important next step for neuromorphic computing will be maturing a technology that has already proven successful in academic settings, particularly when it comes to scaling, Gobin says. "As we're beginning to see a plateau in performance from GPUs, there's interest in neuromorphic hardware that can better run artificial intelligence models -- some companies have already begun developing and prototyping chips for this purpose."

Another promising use case is event-based camera technology, which shows promise as a practical and effective medium for satellite and other computer vision applications, Gobin says. "However, we have yet to see any of these technologies get wide-scale deployment," he observes. "While research is still very active with exciting developments, the next step for the neuromorphic community is really proving that this tech can live up to the hype and be a real competitor to the traditional hardware and generative AI models that are currently dominating the market."

Looking Ahead​

Given the technology's cost and complexity, coupled with the lack of skilled resources, it's likely to take another seven to 10 years before widespread usage of complex neuromorphic computing occurs, Saylors says. "However, recent research in combining neuromorphic computing with GenAI and emerging quantum computing capabilities could accelerate this by a year or two in biomedical and defense applications."

Mainstream adoption hinges on hardware maturity, cost reduction, and robust software, Gibbons says. "We may see initial regular usage within the next five to 10 years in specialized low-power applications," he predicts. "Some of this will be dictated by the maturation of quantum computing." Gibbons believes that neuromorphic computing's next phase will focus on scaling integrated chips, refining and spiking neural network algorithms, and commercializing low-power systems for applications in robotics, edge AI, and real-time decision-making.
Gibbons notes that neuromorphic computing may soon play an important role in advancing cybersecurity. The technology promises to offer improved anomaly detection and secure authentication, thanks to event-driven intelligence, he explains. Yet novel hardware vulnerabilities, unknown exploit vectors, and data confidentiality remain critical concerns that may hamper widespread adoption.

Trends in Neuromorphic Computing CIOs Should Know

Neuromorphic computing technology is advancing rapidly. What does this mean for CIOs and their organizations?

www.informationweek.com

Clearly he doesn’t know the current position of Brainchip, so I take this with a grain of salt. We are moving into commercial this year

 

[Tothemoon24]

Alright. Let’s imagine you personally employed Sean as the CEO of your company and were conducting his annual performance review. How would you rate his performance over the past 12 months, on a scale of 1 to 10?

3

 

[Getupthere]

@7für7

Wow, so the guy openly admits he has no real opinion of his own, but has no problem labeling shareholders as lazy couch potatoes stuffing their faces with pizza? That’s rich. Dismissing legitimate criticism by insulting the very people who own the company

No one’s asking for Sean to be a magician—but we do expect transparency, accountability, and results after years of promises. Instead, we get deflection, NDA smokescreens, and a fan club that defends poor performance by attacking anyone who dares speak up.

Calling that “entrepreneurial thinking”? Please. It’s just more spin. And if defending your vote requires insulting your fellow shareholders, maybe it’s not the rest of us with the negative attitude.

 

[Wags]

My thoughts right now Get are ones of concern.

For mine, the announcement that Brainchip was considering moving to a US listing was a genuine shock. I contacted the company about my concerns, which centred around the following premise…that unless there was at least one major revenue generating deal announced, that would increase the share price significantly, then it would be grossly premature to move to a US listing. I added that existing shareholders value would be destroyed if the company moved without at least one major revenue producing deal in the kit bag.

The response from the company shocked me even more than their original announcement to consider moving. I was told, that because of the ASX disclosure rules, a major deal may never happen. I was told that the entities Brainchip was dealing with might never do business with us whilst we were listed on the ASX, because they were not prepared to risk being forced to reveal financial details, and information about how they were going to use our IP.

This prompted my discussions with the ASX about their interpretation of their very own disclosure rules, particularly rule 3.1A. They told me very clearly, that if Brainchip and a customer wanted to maintain confidentiality about a deal they were contemplating, then the onus was on both parties to remain silent about it. As long as confidentiality remained, there was no requirement to disclose the deal…it could remain confidential under ASX disclosure rule 3.1A.

When I told the company this, I used both the unnecessary Ford ASX announcement back in May 2020, that most likely caused Ford to end their collaboration with us, and Mercedes self outing themselves with press releases in January 2022, which has caused complete silence from them about us ever since.

Love them or hate them…after my discussions with the ASX, I cannot believe that the company would consider a premature, highly damaging for existing shareholders move to a US listing, because of the ASX disclosure rules.

Call me a conspiracy theorist…but I believe there is another agenda .

So these are my thoughts right now Get.

Given what you state was the response from the company, in red above, the scary thought that this implies to me, is that there is not a major deal with revenue, anytime soon unfortunately.
And as far as the podcast goes, and the $68K consultant fee's, faaaaark.
I have been, and still am, pro Brainchip company, just getting tired of the mushroom compost in my eyes.

 

[Bravo]

My thoughts right now Get are ones of concern.

For mine, the announcement that Brainchip was considering moving to a US listing was a genuine shock. I contacted the company about my concerns, which centred around the following premise…that unless there was at least one major revenue generating deal announced, that would increase the share price significantly, then it would be grossly premature to move to a US listing. I added that existing shareholders value would be destroyed if the company moved without at least one major revenue producing deal in the kit bag.

The response from the company shocked me even more than their original announcement to consider moving. I was told, that because of the ASX disclosure rules, a major deal may never happen. I was told that the entities Brainchip was dealing with might never do business with us whilst we were listed on the ASX, because they were not prepared to risk being forced to reveal financial details, and information about how they were going to use our IP.

This prompted my discussions with the ASX about their interpretation of their very own disclosure rules, particularly rule 3.1A. They told me very clearly, that if Brainchip and a customer wanted to maintain confidentiality about a deal they were contemplating, then the onus was on both parties to remain silent about it. As long as confidentiality remained, there was no requirement to disclose the deal…it could remain confidential under ASX disclosure rule 3.1A.

When I told the company this, I used both the unnecessary Ford ASX announcement back in May 2020, that most likely caused Ford to end their collaboration with us, and Mercedes self outing themselves with press releases in January 2022, which has caused complete silence from them about us ever since.

Love them or hate them…after my discussions with the ASX, I cannot believe that the company would consider a premature, highly damaging for existing shareholders move to a US listing, because of the ASX disclosure rules.

Call me a conspiracy theorist…but I believe there is another agenda .

So these are my thoughts right now Get.

Thanks for sharing, @Realinfo.

The issue with ASX disclosure rules really needs to be clarified at the AGM, in my opinion. The "ASX rules" explanation is starting to feel like a manufactured excuse for why major revenue deals are absent, rather than a valid operational barrier.

Why is it that Weebit doesn't seem to face the same issues? So far, Coby Hannoch hasn't suggested that WBT needs to redomicile to the US because of concerns around ASX-induced confidentiality breaches. On the contrary, Coby has stated he expects another five agreements to be signed before the end of the year. In addition, I believe final signings with 3 fabs and 3 customers are all now being linked to payment incentives as a demonstration of management's confidence.

I find it very hard to swallow the excuse that ASX disclosure rules are the reason a major deal might never come to pass. BrainChip has operated under a complete cone of silence for years now. Isn't that, in itself, proof enough for potential partners to have confidence that confidentiality would be maintained — precisely because absolutely nothing has been announced?

Aside from which, as you mentioned, ASX Rule 3.1A specifically allows confidentiality if negotiations are ongoing and if the information remains confidential. As this has been independently confirmed with the ASX, it undermines BrainChip's argument completely.

 

[jtardif999]

For starters, I'm not going back to look at the value of how much the executive team get paid but going to use fictional numbers.

I know this would never happen but how cool would it be for people like our CEO to say I know I am entitled to $4mil worth of shares but I'll only take 4 million shares instead of the 16mil I could be entitled to at 25c a share. This is because with all the things that are lined up I am confident those 4 Mil shares will be worth way more than $4 mil within the next year.

Something like that would give me faith that we are in the path to success. Right now all I hear when they talk is we're full of sht and will say anything to try and make you happy.

Last year's AGM Sean made a speech which I bought into 100% which now looks like a big ball of fluff.

I’ve always thought that BOD should receive a set amount of shares rather than the dollar value of shares, since dollar value encourages a lower share price for longer while they accumulate.

 

[Bravo]

Clearly he doesn’t know the current position of Brainchip, so I take this with a grain of salt. We are moving into commercial this year

The point concerned widespread usage and large-scale revenue. I don't think it was intended to suggest that there would be no revenue whatsoever.

 

[Getupthere]

I’ve always thought that BOD should receive a set amount of shares rather than the dollar value of shares, since dollar value encourages a lower share price for longer while they accumulate.

Totally agree. A fixed number of shares would actually align their interests with shareholders—right now, the system rewards them more the lower the price goes. It’s backwards.

And yep, I remember that chairman’s gem of a quote—“the share price will do what the share price will do.” That pretty much sums up the level of accountability we’ve been getting.

 

[Smoothsailing]

The point concerned widespread usage and large-scale revenue. I don't think it was intended to suggest that there would be no revenue whatsoever.

I agree Bravo, I am at the point however we’re any doubt is going to get an ear full from me as I have had it with all the doubters . I have Ten years invested to date
Go brainchip

 

[White Horse]

My thoughts right now Get are ones of concern.

For mine, the announcement that Brainchip was considering moving to a US listing was a genuine shock. I contacted the company about my concerns, which centred around the following premise…that unless there was at least one major revenue generating deal announced, that would increase the share price significantly, then it would be grossly premature to move to a US listing. I added that existing shareholders value would be destroyed if the company moved without at least one major revenue producing deal in the kit bag.

The response from the company shocked me even more than their original announcement to consider moving. I was told, that because of the ASX disclosure rules, a major deal may never happen. I was told that the entities Brainchip was dealing with might never do business with us whilst we were listed on the ASX, because they were not prepared to risk being forced to reveal financial details, and information about how they were going to use our IP.

This prompted my discussions with the ASX about their interpretation of their very own disclosure rules, particularly rule 3.1A. They told me very clearly, that if Brainchip and a customer wanted to maintain confidentiality about a deal they were contemplating, then the onus was on both parties to remain silent about it. As long as confidentiality remained, there was no requirement to disclose the deal…it could remain confidential under ASX disclosure rule 3.1A.

When I told the company this, I used both the unnecessary Ford ASX announcement back in May 2020, that most likely caused Ford to end their collaboration with us, and Mercedes self outing themselves with press releases in January 2022, which has caused complete silence from them about us ever since.

Love them or hate them…after my discussions with the ASX, I cannot believe that the company would consider a premature, highly damaging for existing shareholders move to a US listing, because of the ASX disclosure rules.

Call me a conspiracy theorist…but I believe there is another agenda .

So these are my thoughts right now Get.

Hi Realinfo,
Who was it that you contacted in the company.?
And how detailed was the response you received to your concerns.?

 

[hotty4040]

Haven't listened yet but this feels like they've finally heard the complaints around visibility of the non execs who get shares for what looks like fuck all and their response is to wheel them out for a podcast episode a month before the AGM. Seems desperate.
Perhaps my mood will change after listening lol.

You haven't missed much IMO, however, surely we're going to have another update before the AGM ?, otherwise, we're still in the dark, ( comprehensively ) IMHO. Your mood, may change, however, not sure whether it will be upbeat/downbeat. I'm now wobbling on the fence, not knowing which way I'll fall off. Akida Ballista >> Don't know/Maybe. Still hopeful, ( Just )

hotty...

 

[jrp173]

View attachment 82749


Edge AI is literally taking off— into orbit.
Over the last few years we’ve seen satellites move from simply collecting data to actually thinking in space. A brand‑new study out this week showcases just how far the hardware‑and‑algorithm stack has come—and why the next wave of intelligent devices, from CubeSats to wearables, will look very different.
What’s new?

* ResNet‑GLUSE: a lightweight convolutional network that marries squeeze‑and‑excitation blocks with gated linear units.
* 94 – 98 % accuracy on EuroSAT & PatternNet while slashing parameters (‑33×), FLOPs (‑27×) and model size (‑33×) vs MobileViT.
* On‑chip inference on Brainchip’s Akida neuromorphic processor draws just ~0.85 W—orders of magnitude below typical GPUs. arXiv
* Open‑source SENTRY repo (link in the paper) lets teams retrain or port the model to their own edge hardware in minutes.

Why it matters:

* Always‑on autonomy
* Continuous links from Starlink & OneWeb solve the connectivity gap, but not the latency gap. Pushing compute into the payload means a satellite can re‑task itself on the fly—think disaster response or precision agriculture updates in the same orbit.
* Millijoule‑class power budgets
* Early missions like ESA’s Φ‑Sat‑1 proved the concept with Intel’s Movidius Myriad‑2 VPU. eoportal.org

The leap to neuromorphic silicon like Akida (sub‑watt inference) takes that efficiency several steps further. Brainchip's "Design Once, Deploy Everywhere"
A GLUSE‑style backbone can run on classic CPUs, tiny MCUs, VPUs, or spiking neural nets—so the same model scales from cloud pre‑training to the harsh radiation of low‑Earth orbit.

Bigger picture

Edge AI isn’t just about satellites. The same architectural principles—tiny models, local learning, neuromorphic acceleration—unlock smarter drones, industrial sensors, autonomous vehicles and next‑gen wearables. Brainchip’s role here is just one example of how neuromorphic IP is slipping quietly into commercial designs; expect a lot more silicon players to follow.

The age of “compute‑everywhere” is here. Whether you’re building the next CubeSat constellation, retro‑fitting factory equipment, or reimagining consumer devices, start designing for extreme efficiency today—the toolchain and the chips have finally caught up.

Please do some research on Philip Dodge. He is just an investor like us...

This is all just his personal opinion.

He is not some oracle.

 

[Guzzi62]

Please do some research on Philip Dodge. He is just an investor like us...

This is all just his personal opinion.

He is not some oracle.

Agreed and of no interest to us as such.

He is welcome on the board here off course, LOL.