BRN Discussion Ongoing

[MDhere]

Can we move on from this please. Im trump email me at idontgiveafuck@me.com

Now back to brainchip chippers

 

[Doz]

Antonio has already been down this road :

Not good ……

 

[Okeydokey01]

PLEASEEEEEE .... PLEASEEEEE ..... PLEASEEEEEE ....stay away from raising any issues concerning the Company's Re-Domiciling to the USA during this AGM .... IMO, It's not an issue for this AGM ..... let's use our constructive time at this AGM to discuss the real issues of there being no new IP agreements and No meaningful revenues streams ............ leave the Re-Domicile issue until another time or until such time as we are all served with a formal Co ASX notice of the Co's intention to do so ........... once again, I think this is all a diversionary tactic by the Co to bypass the real issues at present and waste s/holders time at the AGM on unrelated side issues.
We all need the Co and BOD's as part of their Fiduciary Duty to give all of us Co S/Holders full and frank disclosure's ... so, please ask them all the questions that may concern you and that need answering by the Co hopfully in a meaningful way and not by way of a so called "Fluff" response.

I 100% agree Xray. It will be important to keep the board on task in responding to the current state of affairs. The time for fluff and bluff is gone. A lot of statements have been made and things implied in past AGM's and podcasts. Sure progress has been made, but very few, if any of these statements delivered with enthusiastic optimism around soon to be realised signings/earnings have materialised. It is time for fact and material information on where the company is at now.

I also agree that the proposition of moving to a foreign exchange is an important one to discuss. However, there are more pressing points that should be first given air time. I have not been able to make sense of the timing of this announcement. It flies in the face of all prior correspondence on the matter. There must be a catalyst which has changed the timeframe, it is the boards responsibility to disclose this voluntarily. I would hope that at very least we are provided a broad stroke update on this in Sean's address. I truly hope it is not simply to defer shareholders attention. However some real transparency next week is critical. An AGM should be an event that provides us with updates and information rather than one that sees us leaving scratching our heads more questions than answers. We have great tech and some wonderful talented individuals on the team, I would hate to think that the efforts of many are being stifled by the actions of a few.

All in my opinion of course

 

[jrp173]

Every year around this time all the snide, negative comments really ramp up, I wonder why...not!

So many moaners, yet they just won't crystallize their loss and admit they wished they had offloaded all their shares at north of $2.00...well tough luck princesses.

Toughen the F up...Brainchip isn't your personal ATM..this is a journey, yes it's damn slow, but is the technology useless ?
Are we hiring imbociles? Are we engaging with incompetent tier 1 companies?..Is Sean a snake oil salesmen?..on and on.

From memory, Lou received two tranches of 7.5 million shares as "Chief 3 Hats" giving or some would say, gifting him with 15 million shares, of which he still holds just under 5 million shares, some seem to forget about the approximate 17 + million AUD that was wasted (blown) under his watch on the Studio sales team etc, the email address that was posted by some idiots on the HC site was actually Lou's private account, I can confirm that myself.

What 99% of you don't know is why he abruptly left as our CEO and Peter took over as interim CEO, and by the way, he did a great job in changing the accountability and tightened up on internal procedures with the help of the BOD..I liked Lou, but there was an issue and the company moved on.

The jury is still out on Sean, maybe he has clashed with some key staff who have since moved on, I simply can't comment because I'm not privy to the internal office day to day issues, which I'm sure there are like most.

Personality clashes happen all the time, ego's, power struggles etc are all part and parcel of life, but we all keep growing and move forward.

Ramble finished...goodnight from Tech.

Telling shareholders to toughen up and sell if they’re not happy is a load of absolute rubbish. This is a public company. Every shareholder has the right to hold management accountable for failed promises, vague announcements, and years of under-delivery. That’s the deal when you list on a stock exchange — you answer to your owners. Some of us want answers and are demanding better from BrainChip.

Don’t confuse frustration with moaning. What you’re seeing isn’t “moaning” — it’s years of patience wearing thin, because the board keeps missing the mark. Commercialisation was “imminent” in 2021. “Revenue is just around the corner” has been the line for ages. And now we’re down 80%+ and still getting spin instead of substance. That’s not bad luck — it’s bad management.

The fact is the company is being held to account — as it should be. And if that upsets your blind loyalty, I can’t help that. That’s how listed markets work. If BrainChip wants investor trust, it needs to earn it.

So maybe next time, instead of insulting people who’ve backed this company with real money for more than 10 years, you take a look at who’s actually trying to push for the standards that might one day make this investment worthwhile.

As for your innuendo about Lou’s departure, that 99% of us don’t know about (which would clearly be covered by a NDA) — if you’re not legally authorised to speak on it, then don’t. You’re doing neither the company nor shareholders any favours by peddling vague suggestions regarding his departure.

 

[Frangipani]

Our Chairman of the Board of Directors, Antonio J. Viana, is joining yet another company as Non-Executive Director: PQShield (https://pqshield.com/).
According to their self-description, PQShield are “leading experts in post-quantum cryptography” and “were the first cybersecurity company to develop quantum-safe cryptography on chips, in applications, and in the cloud.”

Since I don’t have a clue what that actually means, I have no idea whether there is any cross-pollination possible, but highly likely someone else here on TSE will be able to tell us…
(Unsurprisingly in the semiconductor world, they do share some ecosystem partners with BrainChip.)

We are very pleased to announce that Antonio J. Viana (BrainChip, Arteris,… | PQShield

We are very pleased to announce that Antonio J. Viana (BrainChip, Arteris, Parsley360, former Arm executive) is joining us as Non-Executive Director, alongside Mike Muller (co-founder and former CTO, Arm), RoseMary Schooler (former CVP, Intel Corporation, and current Arm board member), and Ian...

www.linkedin.com

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View attachment 74150

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In December, a company called PQShield welcomed Antonio J. Viana as a Non-Executive Director:

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-443567

This week’s announcement of our collaboration with Chelpis happens to confirm the potential interest of companies in the business of post-quantum cryptography in our technology…

 

[Pom down under]

The pie may still be the same in terms of $value at listing, however you need to consider the price movement (both up and down) after listing.

Just as an example, but using today share price of 25c, moving to Nasdaq where a share price of $4USD is required, it would be a 25:1 consolidation.

Following the proposed 25:1 share consolidation as part of the transition from the ASX to the Nasdaq, every 25 shares you currently hold will be consolidated into 1 new share. This means the Nasdaq share price will be higher to reflect the smaller number of shares on issue. However, one key risk to consider is that after the consolidation, a 1 cent AUD movement in the original ASX share price would equate to approximately a 16 cent USD movement in the Nasdaq share price (based on an exchange rate of 65 cents AUD to USD).

As a result, the share price on Nasdaq will need to move in much larger increments to deliver the same relative gains you may be used to on the ASX. This reduced price granularity may impact liquidity and increase volatility, making it harder to achieve small, incremental gains — and potentially amplifying both upside and downside price movements.

So being fair, the price movement in the above example will have a much "sharper" affect on your shareholding value (both in terms of share price increase and decrease...

A move to Nasdaq does not guarantee a re-rating as BRN talked about in their price sensitive announcement to shareholders.

Actually I asked Lou the question about reconciling to the America and he stated if we were join as a 3rd tier listing on nasdaq we would require a share price of $1usd and said it was very expensive and risky for shareholders and that the company would have more than a wish and a promise to survive the transition.

I also spoke about Steve and he said that he had the company at heart and would provide expertise and balance to the BoD plus he knows the technology and the markets, so unless the company can persuade me otherwise I’ll be voting against listing in America and a big fat yes to Steve joins the BoD

 

[ndefries]

In December, a company called PQShield welcomed Antonio J. Viana as a Non-Executive Director:

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-443567

View attachment 83570


This week’s announcement of our collaboration with Chelpis happens to confirm the potential interest of companies in the business of post-quantum cryptography in our technology…

View attachment 83568

If Akida becomes part of the gold standard in this new area it will be a very valuable resource to own by up and coming orgs going big in this area.

Imagine if Akida sells its product to be exclusive in a particular area for a larger royalty.

There are many areas to make money. We need to lock in one to goes the share price and prevent more dilution of the shares.

Waiting for that big deal to land.

 

[7für7]

Knock knock folks… why the long faces, huh?? Come on, be positive!! You’re acting like this company is partnering with major players and planning to jump over to the US stock market without actually making financial progress… that would be just—oh wait a minute…

 

[Slade]

Another company wants Antonio. They can have him.

 

[Cardpro]

---

Unfortunately, I won’t be able to attend the AGM, but I’m hopeful that someone will raise a few important points with the Board—particularly around how the company communicates its customer pipeline to shareholders.

The key point is this: even when companies are bound by NDAs, they can still provide meaningful, non-sensitive insights. By sharing aggregated, anonymized, and non-identifiable data, it’s entirely possible to report on operational metrics, pipeline progression, and market traction without breaching confidentiality or exposing client identities.

If the Board insists otherwise, I’d respectfully suggest that’s simply not true.

And if they need a real-world example of how it can be done? Voilà—they only need to look at the framework I pulled together in under two seconds with the help of ChatGPT. No $68,000 consulting fee required (though I wouldn’t mind a cheque to offset my losses at this point in time!).

Confidentiality-Conscious Shareholder Reporting Framework​

1. Sales & Engagement Funnel Metrics​

Without naming clients, report:

• Total active commercial discussions: e.g., 26 companies currently in the pipeline
• Breakdown by stage:
  • Enquiry / Early discussion: 14
  • Proof of Concept (PoC): 6
  • Pilot deployment: 3
  • Commercial negotiations: 2
  • Signed but not publicly disclosed: 1
• Sales cycle timelines (avg. duration from enquiry to PoC, PoC to deal, etc.)

2. Industry & Use Case Segmentation​

• Present data grouped by verticals:
  • Automotive (ADAS, predictive maintenance)
  • Industrial (robotics, machine vision)
  • Consumer electronics (smart devices)
  • Defense/security (anomaly detection)
  • Healthcare (diagnostic assistance)
• Describe generalized use cases:
  • Event-based visual processing for motion tracking
  • Low-latency AI inference at the edge
  • On-device incremental learning

3. Geographic Distribution​

• Show global reach without naming countries if needed:
  • North America: 10 active discussions
  • Europe: 7
  • Asia-Pacific: 5
  • Middle East: 2

4. Partnerships and Ecosystem Activity​

• Highlight non-client relationships that can be disclosed:
  • Hardware integrations (e.g., RISC-V platforms, sensor vendors)
  • Ecosystem development (SDK downloads, dev kits shipped)
  • Joint marketing initiatives

5. Product Maturity and Demand Signals​

• Requests for evaluation kits or SDK activations: trending over time
• Inbound interest volume: e.g., +35% YoY increase in inbound enterprise queries
• Repeat interest: number of returning potential customers requesting re-engagement

6. Financial Pipeline Indicators (without revenue disclosure)​

• % growth in qualified pipeline value over past quarters
• Conversion ratios between pipeline stages (e.g., 30% of PoCs move to pilot stage)
• Customer acquisition cost (CAC) trends if trackable

7. Forward-Looking Statements (with caution)​

• Express the number of PoCs expected to conclude within the next quarter
• Outline projected growth in industry verticals without asserting certainty

---

Example Statement for Shareholders:​

Even if they do, as there's no revenue to support such a claim, I don't think it will be much helpful. That being said, if we are generating meaningful revenue, above will be self explained. What I don't really understand is how low our revenue is when we are meant to charge customers for providing tech/engineering/development support... if we are indeed actively engaged with 100s of EAPs who were apparently interested in our tech since development stages, there should be some sort of payment... but nothing.......... even the deals with Renesas & MegaChips, no sign of royalties... MegaChip's deal was for 4 years and this is the 4th year but there's still no sign of royalties...

Disappointing...

I wish one day, I can just rely on financials...

Imo only dyor

 

[jrp173]

Actually I asked Lou the question about reconciling to the America and he stated if we were join as a 3rd tier listing on nasdaq we would require a share price of $1usd and said it was very expensive and risky for shareholders and that the company would have more than a wish and a promise to survive the transition.

I also spoke about Steve and he said that he had the company at heart and would provide expertise and balance to the BoD plus he knows the technology and the markets, so unless the company can persuade me otherwise I’ll be voting against listing in America and a big fat yes to Steve joins the BoD

Thanks for letting people know.

As for Mr Liebeskind, I can only hope that people vote for him, and not just based on what Lou has said.

The fact is we currently have four non executive directors, and none of them seem to be pulling up the company, and asking them the hard questions. I personally don't think any of them are putting shareholders first (or quite frankly even considering shareholders). I mean take the price sensitive announcement regarding redomicile (and our 2 Australian NEDs Carrick and Turcinov). Carrick worked for Shaw and Partners, and he didn't say, BRN, this is going to go down like a lead balloon and hurt share price.. don't do it. Let's telephone our top 20 or 50 shareholders to see what they think. And Turcinov is a corporate lawyer, and she didn't think to add her expertise (or supposed expertise here). She didn't think to say, this is crazy.. we can't put this out with no detail. How can we use this to gauge shareholders interests when there is no detail or substance here!. But no, they just let it go through to the keeper.. great NEDs!!!! And look what happened to our share price.

Even if someone doesn't know Steve (or care to email him to ask questions), I mean seriously it can't be any worse than it is now. Why not give him a chance. He has been a NED there previously, he knows the technology and he does care about shareholders.

Surely Steve's return can only help shareholders, as he'll be able to put BRN on the spot, and hopefully make the other non executive think a bit more, and hopefully this causes some serious change.

In terms of his base salary, even if Carrick and Le (who are up for election) AND Liebeskind are all successful, there is no additional costs to the company. There is an aggregate maximum pool of funds that are shared amongst Non executive directors. Of course neither Carrick or Le need to be re-elected... it is up to us shareholders....

But even with five NEDs (including Mr Liebeskind), this pool stays at $700,000.. so the other NED's would all see a reduction in their remuneration.

Not a bad thing in my opinion.

 

[HopalongPetrovski]

Thanks for letting people know.

As for Mr Liebeskind, I can only hope that people vote for him, and not just based on what Lou has said.

The fact is we currently have four non executive directors, and none of them seem to be pulling up the company, and asking them the hard questions. I personally don't think any of them are putting shareholders first (or quite frankly even considering shareholders). I mean take the price sensitive announcement regarding redomicile (and our 2 Australian NEDs Carrick and Turcinov). Carrick worked for Shaw and Partners, and he didn't say, BRN, this is going to go down like a lead balloon and hurt share price.. don't do it. Let's telephone our top 20 or 50 shareholders to see what they think. And Turcinov is a corporate lawyer, and she didn't think to add her expertise (or supposed expertise here). She didn't think to say, this is crazy.. we can't put this out with no detail. How can we use this to gauge shareholders interests when there is no detail or substance here!. But no, they just let it go through to the keeper.. great NEDs!!!! And look what happened to our share price.

Even if someone doesn't know Steve (or care to email him to ask questions), I mean seriously it can't be any worse than it is now. Why not give him a chance. He has been a NED there previously, he knows the technology and he does care about shareholders.

Surely Steve's return can only help shareholders, as he'll be able to put BRN on the spot, and hopefully make the other non executive think a bit more, and hopefully this causes some serious change.

In terms of his base salary, even if Carrick and Le (who are up for election) AND Liebeskind are all successful, there is no additional costs to the company. There is an aggregate maximum pool of funds that are shared amongst Non executive directors. Of course neither Carrick or Le need to be re-elected... it is up to us shareholders....

But even with five NEDs (including Mr Liebeskind), this pool stays at $700,000.. so the other NED's would all see a reduction in their remuneration.

Not a bad thing in my opinion.


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How exactly do you know just what input Carrick or Turcinov had regarding the proposed redomicile?
Or anything else they may have contributed for that matter?
And as we are calling people by their surnames, how come Liebeskind doesn't care to publicly give us his "pitch" for our votes?
How come Liebeskind relies on proxies like you to drum up support for him?
And your line "it can't be any worse than it is now." Really? Cant it?
Maybe you should ring Clive Palmer and enquire about his about to be dissolved Trump et of patsys.
They like snake oil.

 

[jrp173]

How exactly do you know just what input Carrick or Turcinov had regarding the proposed redomicile?
Or anything else they may have contributed for that matter?
And as we are calling people by their surnames, how come Liebeskind doesn't care to publicly give us his "pitch" for our votes?
How come Liebeskind relies on proxies like you to drum up support for him?
And your line "it can't be any worse than it is now." Really? Cant it?
Maybe you should ring Clive Palmer and enquire about his about to be dissolved Trump et of patsys.
They like snake oil.

In answer to your question (specifically how do I know their input).. well, on the price sensitive announcement is said the board voted for it unanimously....(to consider the redomicile)....

And I am not a proxy for Steve Liebeskind, I am simply a shareholder who desperately wants to see change, and I think he will be able to help with that.

Simple as that.....

 

[JoMo68]

I apologized for me email to him thinking it was someone else and he responded

View attachment 83567

Well he hasn’t responded to me I was very polite

 

[HopalongPetrovski]

In answer to your question (specifically how do I know their input).. well, on the price sensitive announcement is said the board voted for it unanimously....(to consider the redomicile)....

And I am not a proxy for Steve Liebeskind, I am simply a shareholder who desperately wants to see change, and I think he will be able to help with that.

Simple as that.....

Yeah. OK. Just had a look back through your history of postings here.
You are very keen on Liebeskind.

And many of your posts reveal that you are pretty disgruntled with the current board and management.
That's ok. Lots are. I have some sympathy with that.

It does however baffle me that Steve Liebeskind will not speak for himself publicly.
He is seeking our votes in order to win a place on the board and yet will not put his case to us.
That is reason enough for me not to vote for him.

PS...... as regards the vote I am certain the Board would demand a unanimous vote on a proposed redomicile, as boards are wont to do in such matters.
They would hardly be likely to try and proceed with a split vote on such a monumental decision.
But none of us know what was included in the discussion leading up to the vote, which is merely the formal resolution.
To pretend otherwise is balderdash.

 

[HopalongPetrovski]

Well he hasn’t responded to me I was very polite

Maybe he likes it a little rough, JoMo

 

[Pom down under]

Well he hasn’t responded to me I was very polite

 

[Fullmoonfever]

These popped up a LinkedIn post a few days ago linking to a blog article on their website.

Akida gets a few mentions throughout including our epilepsy work.

Wonder if we've ever had any conversations.

How Neuromorphic Chips Could Redefine Edge AI Devices | Rajesh Subramaniam

Conventional processors struggle with power-hungry, latency-sensitive tasks — especially at the edge. But neuromorphic chips, inspired by the human brain, offer a radical shift: real-time processing, ultra-low power consumption, and adaptive learning in dynamic environments. From autonomous...

www.linkedin.com

embedUR leverages its expertise in AI, Edge Computing, IoT, Networking, and Cloud to develop complex products and solutions for a Fortune 500 customer base. Our vision is to create precise, dynamic and truly intelligent edge devices that can make real-time decisions efficiently.

How Neuromorphic Chips Could Redefine Edge AI Devices - embedUR

Designed to replicate the structure and functionality of the human brain, we take a look at this groundbreaking advancement in computing - Neuromorphic chips

www.embedur.ai

How Neuromorphic Chips Could Redefine Edge AI Devices​

For the past decade, AI development has focused on feeding models more data, increasing processing speeds, and pushing traditional silicon chips to their limits. But we may have hit a wall with current systems. Today’s AI systems rely on conventional computing architectures that process data sequentially, consuming massive amounts of energy in the process. This approach is effective but inefficient—especially for real-time, power-sensitive applications.
A new frontier in AI is emerging—neuromorphic computing. Inspired by biological neurons, this groundbreaking technology enables AI to learn dynamically, adapt in real time, and operate with unparalleled energy efficiency. Instead of performing brute-force calculations, neuromorphic chips process data using event-driven architectures, activating only when new information is detected—much like the way our brains respond to stimuli.
From autonomous systems that react instantly to their surroundings to medical diagnostics that analyze patient data in real time, neuromorphic computing is unlocking a new era of AI—one that is not just faster, but fundamentally smarter. In this article, we’ll explore how this innovation is reshaping AI and why it’s a game-changer for the future.

What Are Neuromorphic Chips, and How Do They Work?​

Neuromorphic chips are a groundbreaking advancement in computing, designed to replicate the structure and functionality of the human brain. Unlike conventional processors—such as CPUs, GPUs, and even modern MCUs—that process data sequentially or in parallel with predefined instructions, these chips leverage spiking neural networks (SNNs), a model that mimics how biological neurons communicate through discrete electrical spikes.
This brain-inspired approach enables a fundamental shift in AI processing, offering greater efficiency, adaptability, and ultra-low power consumption. As AI continues to evolve, neuromorphic computing is set to surpass traditional architectures, redefining the future of artificial intelligence (AI) and edge computing.
At their core, neuromorphic chips operate using event-driven computation. Instead of continuously processing data in fixed intervals like traditional CPUs, GPUs, and MCUs, they activate only when specific “spikes” or events occur. Think of it like a security light that only turns on when it detects movement rather than staying on all night. This asynchronous processing significantly reduces energy consumption and enhances efficiency, making neuromorphic chips ideal for dynamic, real-time applications such as robotics, autonomous systems, and next-generation IoT devices.

Breakthrough Innovations That Set Neuromorphic Computing Apart​

Spiking Neural Networks (SNNs)​

SNNs process information by transmitting spikes between neurons, where the timing of each spike encodes critical data—unlike conventional neural networks that rely on continuous signal flow. This results in faster and more efficient computation for real-world applications:
IBM’s TrueNorth chip enables 46 billion synaptic operations per second at ultra-low power, supporting applications like sensory data processing in autonomous vehicles.
Intel’s Loihi 2 chip accelerates defect detection in BMW’s smart factories, reducing inspection time from 20ms to just 2ms through adaptive SNNs.

Integrated Memory and Processing​

Neuromorphic chips merge computation and memory within the same architecture, eliminating the von Neumann bottleneck—a fundamental limitation of traditional processors that separates memory from processing. This integration:

• Minimizes data transfer delays and power consumption, boosting efficiency.
• Powers Samsung’s neuromorphic smart cameras, which reduce cloud dependency by 40% while improving real-time response speeds.

Analog Computing for Energy Efficiency​

Many neuromorphic systems employ analog circuits to simulate the continuous dynamics of biological neurons, consuming significantly less energy than digital processors:
Stanford’s Neurogrid system, for instance, enables energy-efficient drone navigation in complex environments—using just 1/10,000th the power of traditional GPUs.

Architectural Differences: Neuromorphic vs. Traditional Processors​

Unlike GPUs and Tensor Processing Units (TPUs), which process data in predefined batches, neuromorphic chips activate only in response to events—making them far more efficient for sparse and dynamic workloads. This adaptability positions them as a revolutionary technology in AI, robotics, and intelligent edge computing.

Feature	Neuromorphic Chips	GPUs/TPUs
Processing Style	Event-driven, asynchronous. Responds to sensor changes in <1ms (SpiNNaker system)	Batch processing, synchronous (~20ms for NVIDIA GPUs)
Data Flow	Sparse spike-based communication	Dense matrix operations
Memory Integration	Unified memory-compute architecture	Separate memory and compute
Energy Efficiency	Ultra-low power consumption (Intel Loihi: 15 pJ per synaptic operation)	Higher energy requirements (NVIDIA A100: ~400W)

Why Neuromorphic AI Could be a Game-Changer for Edge Devices​

Neuromorphic AI addresses the major limitations of current Edge AI systems
Neuromorphic AI represents a groundbreaking leap for edge devices, addressing the major limitations of current Edge AI systems. By mimicking the human brain’s structure and leveraging spiking neural networks (SNNs), neuromorphic chips offer exceptional energy efficiency, real-time processing, and scalability—key advantages for battery-powered devices and low-latency applications.

Limitations of Current Edge AI Solutions​

1. Power Inefficiency​

Traditional Edge AI relies on GPUs or TPUs, which continuously process dense data and consume high amounts of power. This makes them impractical for battery-operated devices like wearables or IoT sensors. For example, NVIDIA’s Jetson AGX Xavier (32W) drains a wearable’s battery, within hours. In contrast, neuromorphic alternatives like Qualcomm’s Zeroth processor enable Samsung’s Galaxy SmartTag to last six months on a coin-cell battery by only activating during motion detection.

2. Latency Issues​

Although Edge AI reduces latency compared to cloud-based AI, traditional hardware still struggles with real-time responsiveness due to batch processing. This delay can be critical in time-sensitive applications like autonomous driving and industrial automation, where even milliseconds count.

3. Bandwidth Constraints​

Edge devices often operate in areas with limited network connectivity. Transmitting large datasets to the cloud for processing can cause bottlenecks and increase operational costs. While current Edge AI solutions perform some computations locally, they still rely on frequent data transfers for complex tasks, straining bandwidth.

4. Scalability Challenges​

Many edge devices lack the computational power to support large AI models effectively. While model quantization reduces model size, it often compromises accuracy and performance. Scaling AI across different edge applications remains a challenge.

Key Advantages of Neuromorphic Chips in Edge AI​

1. Energy Efficiency​

Neuromorphic chips consume only 1% to 10% of the power used by traditional processors due to their event-driven architecture.
Event-Driven Processing: Unlike GPUs and TPUs that constantly process data, neuromorphic chips activate only when needed—similar to how a motion sensor turns on a light only when movement is detected. This reduces unnecessary energy usage.
Example: IBM’s TrueNorth chip reduced energy consumption by 98% in DARPA’s autonomous robotics trials by eliminating redundant data transfers.
Integrated Memory and Compute: Neuromorphic systems combine memory and processing in a single architecture, minimizing energy loss from constant data movement—a key issue in traditional von Neumann processors.
This efficiency is crucial for battery-powered edge devices, such as smartwatches and industrial sensors operating in remote locations.

2. Real-Time Processing​

Neuromorphic chips process data instantly rather than in predefined batches, making them ideal for latency-sensitive applications.
Asynchronous Operations: Their event-based nature allows immediate responses to inputs, unlike traditional processors that must wait for a full batch cycle.
Example: Prophesee’s event-based vision sensors, when paired with Sony’s neuromorphic chips, detect pedestrians 20ms faster than conventional frame-based cameras—a critical advantage for autonomous vehicles navigating urban environments.
Reduced Cloud Dependency: Since neuromorphic chips handle inference locally, they eliminate the need to send data to cloud servers for processing. This reduces latency, enhances reliability, and ensures smooth performance even in low-connectivity environments.
Privacy Benefits: By keeping data on the device, neuromorphic AI improves privacy, reducing exposure to cyber threats. For instance, in healthcare wearables, sensitive biometric data can be processed locally instead of being transmitted over networks.

3. Scalability for Energy-Efficient Devices​

Neuromorphic architectures are inherently scalable, allowing seamless deployment across various edge devices.
Compact Design: These chips are lightweight and small, making them ideal for integration into smart cameras, IoT sensors, and even next-generation hearing aids.
Optimized for Sparse Data: Unlike traditional AI, which struggles with irregular data patterns, neuromorphic AI excels at handling sparse datasets—such as sporadic sensor readings—without requiring excessive computational power.
Adaptive Learning: Neuromorphic systems can adapt to changing conditions in real time without retraining large models, making them versatile across multiple industries.

Industries Benefiting from Neuromorphic Edge AI​

Healthcare, industrial IoT, automation all make use of neuromorphic AI

I) Even Smarter Consumer Gadgets​

Neuromorphic edge AI is redefining consumer electronics by combining ultra-low power consumption with advanced AI capabilities, enhancing efficiency and user experience across multiple devices:
Smartphones: Qualcomm, in partnership with Prophesee, integrates neuromorphic vision sensors into Snapdragon platforms, improving camera performance in dynamic and low-light conditions.
Wearables: BrainChip’s Akida processor powers fitness trackers and medical wearables, enabling real-time analysis of ECG, glucose levels, and sleep patterns while extending battery life by 10–100x compared to conventional chips.
Smart Home Devices: Neuromorphic systems process voice commands and gestures locally, reducing cloud dependency and latency for touchless smart speakers and home automation systems.

II) Industrial IoT (IIoT)​

Neuromorphic edge AI is revolutionizing manufacturing and logistics by enabling real-time, energy-efficient data processing for predictive maintenance, automation, and anomaly detection:
Predictive Maintenance: Accenture Labs’ neuromorphic systems analyze vibration and thermal data to detect machinery anomalies in real-time, reducing downtime by 30%. Intel’s Loihi chip processes sensor data with milliwatt-level power consumption, making it ideal for remote monitoring in industries like oil and gas.
Robotic Automation: SynSense’s Speck chip enables robots to mimic human movements with sub-millisecond latency, optimizing assembly line efficiency. BrainChip’s Akida enhances robotic vision for high-precision quality inspection in manufacturing.
Anomaly Detection: Analog neuromorphic circuits process sparse sensor data in noisy industrial environments, enabling real-time defect detection in 3D printing and production lines.

III) Autonomous Systems​

Self-driving cars, drones, and robotics rely on neuromorphic AI for real-time perception and decision-making, reducing latency and power consumption:
Autonomous Vehicles: Neuromorphic vision chips, such as Prophesee’s Event-Based Metavision sensors, process LIDAR and camera inputs at 0.1ms latency, enabling collision avoidance without cloud reliance.
Drones: SynSense’s neuromorphic processors enable drones to navigate complex environments autonomously, making them ideal for agricultural monitoring and disaster response.
Vision-Based Robotics: Intel’s Loihi chip powers warehouse robots that dynamically adjust paths using real-time sensor fusion (LIDAR + camera), reducing energy consumption by 40%.

IV) Healthcare AI​

Neuromorphic edge AI is driving advancements in diagnostics, wearable health monitoring, and remote patient care:
AI-Powered Diagnostics: Neuromorphica’s medical devices analyze EEG/ECG data locally, detecting seizures and arrhythmias with 99% accuracy. Tata Elxsi’s neuromorphic ultrasound systems provide on-site musculoskeletal injury assessments in sports medicine.
Medical Wearables: Stanford’s Neurogrid enables continuous glucose monitoring with a 30-day battery life, while BrainChip’s Akida powers implantable neurostimulators for epilepsy management.

Key Players and Market Availability Timeline​

The neuromorphic computing market is poised for explosive growth, with its valuation expected to surge from $28.5 million in 2024 to $1.33 billion by 2030, representing an astonishing CAGR of 89.7%. This rapid expansion reflects the increasing demand for AI systems that are not only powerful but also energy-efficient and capable of real-time processing.
Leading the charge in this technological revolution are industry giants such as Intel, IBM, Qualcomm, Samsung, and Sony, all investing heavily in neuromorphic architectures to drive the next wave of AI innovation.

Company	Flagship Product	Commercial Launch	Production Deployments
BrainChip	Akida NSoC	2024 (pre-orders)	Edge AI Box (industrial/retail)
Intel	Loihi 2	2021 (announced)	Sandia Labs Hala Point (2024)
SynSense	Speck	2023	Vision processor demo kits
Prophesee	GenX320 Sensor	2023	Edge AI devices (AR/VR prototypes)

Challenges in Adopting Neuromorphic AI & Future Outlook​

1. Lack of Industry-Wide Standardization​

The neuromorphic AI ecosystem remains fragmented due to incompatible frameworks, protocols, and dependencies:
Programming Interfaces: Tools like PyNN and Intel’s Lava aim to standardize neuromorphic programming, but adoption remains limited. For example, PyNN supports only a subset of hardware (BrainScaleS, SpiNNaker), while others like Loihi require custom frameworks.
Communication Protocols: Many neuromorphic devices use Address-Event Representation (AER) for spike-based data transmission. However, vendor-specific implementations (e.g., Prophesee vs. BrainChip) hindering seamless interoperability.
Host Dependency: Many neuromorphic systems still rely on conventional computers for pre- and post-processing, negating their energy efficiency benefits. Optimizing host-device communication remains an open challenge.

2. Immature Software Ecosystem​

Mainstream AI frameworks struggle to integrate with neuromorphic systems:
Framework Compatibility: Traditional AI platforms like TensorFlow and PyTorch lack native support for spiking neural networks (SNNs). Solutions like BrainChip’s MetaTF facilitate CNN-to-SNN conversion, but performance gaps persist.
Algorithm Development: SNN training methods lack standardization. While tools like PyCARL bridge CARLsim and PyNN for co-simulation, most research remains confined to niche applications.
Toolchain Limitations: Neuromorphic-specific compilers and debuggers lag behind those developed for GPUs and TPUs, limiting software maturity and usability.

3. Scalability Concerns​

Hardware and material limitations restrict large-scale neuromorphic adoption:
Physical Scaling: Current neuromorphic chips, such as Loihi and TrueNorth, support only ~1 million neurons—far below the 86 billion in biological brains. Scaling requires advancements in 3D integration and high-density memristor technology.
Material Challenges: Existing materials (e.g., metal oxides, chalcogenides) present trade-offs between endurance and energy efficiency. Emerging 2D materials like graphene show promise but remain in early development.
Thermal Management: Analog circuits in neuromorphic chips generate significant heat under load, limiting device density and long-term reliability.

Future Outlook and Emerging Trends​

The future of neuromorphic AI looks promising as it begins integrating with existing AI pipelines and evolving into more practical applications. Hybrid systems that combine neuromorphic and von Neumann architectures are gaining traction, particularly in edge-cloud synergy, where neuromorphic chips handle real-time sensor data locally while cloud-based GPUs manage batch training.
This approach has been demonstrated by Accenture, which integrated Loihi-powered robots to enhance AI efficiency. Additionally, the rise of federated learning techniques such as LFNL has enabled decentralized SNN training across edge devices, significantly reducing data traffic and energy consumption compared to traditional federated learning models.
The growth of neuromorphic software tools is accelerating adoption, with open-source frameworks playing a key role. PyNN has emerged as the de facto standard for SNN simulation, supporting hardware platforms like BrainScaleS and SpiNNaker, while ongoing developments aim to extend compatibility to Loihi and Dynap-SE.
Intel’s Lava framework provides composable blocks for SNN development, enhancing cross-platform model portability. Furthermore, researchers are exploring the potential of quantum-neuromorphic hybrids, leveraging quantum reservoirs to push the boundaries of AI efficiency.
Neuromorphic AI is set to drive self-learning AI at the edge. With innovations like Intel’s Loihi 2, robots and edge devices can now adapt to environmental changes in real-time—without requiring retraining. This development is particularly redefining for the Internet of Things (IoT), where ultra-low-power neuromorphic sensors, like Prophesee’s event cameras, facilitate always-on smart infrastructure with minimal power consumption.
In healthcare, platforms like Stanford’s Neurogrid and BrainChip’s Akida are paving the way for real-time medical applications, including epilepsy detection and personalized treatments. As these advancements continue, neuromorphic AI is set to become a cornerstone of next-generation intelligent systems, bridging the gap between biological and artificial intelligence. Read more about strategic alliances between chip makers and manufacturers driven by AI/ML integration.

 

[Guzzi62]

Actually I asked Lou the question about reconciling to the America and he stated if we were join as a 3rd tier listing on nasdaq we would require a share price of $1usd and said it was very expensive and risky for shareholders and that the company would have more than a wish and a promise to survive the transition.

I also spoke about Steve and he said that he had the company at heart and would provide expertise and balance to the BoD plus he knows the technology and the markets, so unless the company can persuade me otherwise I’ll be voting against listing in America and a big fat yes to Steve joins the BoD

Okay, that's Lou's opinion that's opposite PVDM's.

I have more faith in the biggest shareholder and founder of the company than a dodgy ex CEO that left suddenly, pocketing 15 million shares in the process.

I have no opinion about Steve, but the BoD says no thanks and so will I.

 

[Pom down under]

Okay, that's Lou's opinion that's opposite PVDM's.

I have more faith in the biggest shareholder and founder of the company than a dodgy ex CEO that left suddenly, pocketing 15 million shares in the process.

I have no opinion about Steve, but the BoD says no thanks and so will I.