BRN Discussion Ongoing

[smoothsailing18]

---

OOOooh...

I just stumbled across this LinkedIn post about neuromorphic chips from Soumya Sagiri (Principal Gen AI Privacy Security Strategist & Engineering @ AWS).

IMO her post signals that neuromorphic hardware is the logical next step once current edge-to-cloud security and privacy workflows hit their practical limits.

She reframes neuromorphic computing as a security and privacy enabler, not just a power-efficiency experiment, but she notes that “neuromorphic hardware is still mostly in research and pilot stage today (e.g., Intel Loihi, IBM TrueNorth).”

I’m thinking I’ll email this to Tony Lewis tomorrow to see if he’d like to invite Soumya to try Akida Cloud, which allows hardware-free testing of BrainChip’s Akida 2 platform.

Soumya also says: “In the future, neuromorphic chips could act as a real-time security co-processor… flagging anomalies in milliseconds.” To me, that makes it pretty explicit - the future state of this architecture is neuromorphic, with mainstream adoption once hardware is production-ready.

And take a look at the comment below from Rudy Bakalov (Cloud/Cybersecurity/AI exec, AWS)!

Rudy says: “Neuromorphic chips will change the game once they move from pilot to production,” and he calls out on-device agentic AI as the first breakout use case, arguing neuromorphic creates a new security paradigm.

For clarity, on-device agentic AI = a self-contained intelligent agent that can sense its environment, decide, and take action in real time- right on the device.

Might as well ask Tony if he'd like to send Rudy an invite too while I'm at it...


View attachment 92346


View attachment 92348







View attachment 92347



View attachment 92351

Neuromorphic chips: A new way to build security controls into hardware | Soumya Sagiri posted on the topic | LinkedIn

Neuromorphic chips are processors that mimic neurons and synapses using event-driven signals. This is not only about power savings. It also opens a new way to build security and privacy controls directly into hardware. Neuromorphic hardware is still mostly in research and pilot stage today, for...

www.linkedin.com

Great idea brilliant

 

[Pom down under]

If we cuold all laern to slepl eglsnih then our cmopehernsion of the wtriten wrod wuold ipmorve iemmasurably.

Our brain sorts it out anyway ... sort of like Akida really !!!

I guess if you can spell you can understand what you have written as I’ve not a clue what you wrote

 

[Pom down under]

Exciting developments coming in a flurry of news grabs, got to be feeling positive.

Now the 4C delivered pretty much what all shareholders were thinking but maybe not saying, I felt that the update was well
presented, explained clearly with a clear agenda ahead.

Do I think another Cap. Raise is on the agenda......yes, I do, just call it a forced dilution if we wish to succeed.

The company's forward estimates of outgoings have been set at around 4.92 million USD per quarter, for just under 9 months
of runway, with no revenue factored in obviously, or Cap. Raise's for that matter either.

Too much positive activity going on, let's go Brainchip!

Tech x

No need to cap raise if someone decides they would like to partner with us for a few billion $$$

 

[Food4 thought]

No need to cap raise if someone decides they would like to partner with us for a few billion $$$

Clearly the future belongs to Brainchip
It’s just the waiting
But I think we have a lot less time to wait now, as most of the waiting is done
It could be only months not years now , which I think is a huge milestone and positive outlook

 

[Diogenese]

---

OOOooh...

I just stumbled across this LinkedIn post about neuromorphic chips from Soumya Sagiri (Principal Gen AI Privacy Security Strategist & Engineering @ AWS).

IMO her post signals that neuromorphic hardware is the logical next step once current edge-to-cloud security and privacy workflows hit their practical limits.

She reframes neuromorphic computing as a security and privacy enabler, not just a power-efficiency experiment, but she notes that “neuromorphic hardware is still mostly in research and pilot stage today (e.g., Intel Loihi, IBM TrueNorth).”

I’m thinking I’ll email this to Tony Lewis tomorrow to see if he’d like to invite Soumya to try Akida Cloud, which allows hardware-free testing of BrainChip’s Akida 2 platform.

Soumya also says: “In the future, neuromorphic chips could act as a real-time security co-processor… flagging anomalies in milliseconds.” To me, that makes it pretty explicit - the future state of this architecture is neuromorphic, with mainstream adoption once hardware is production-ready.

And take a look at the comment below from Rudy Bakalov (Cloud/Cybersecurity/AI exec, AWS)!

Rudy says: “Neuromorphic chips will change the game once they move from pilot to production,” and he calls out on-device agentic AI as the first breakout use case, arguing neuromorphic creates a new security paradigm.

For clarity, on-device agentic AI = a self-contained intelligent agent that can sense its environment, decide, and take action in real time- right on the device.




View attachment 92346


View attachment 92348







View attachment 92347



View attachment 92351

Neuromorphic chips: A new way to build security controls into hardware | Soumya Sagiri posted on the topic | LinkedIn

Neuromorphic chips are processors that mimic neurons and synapses using event-driven signals. This is not only about power savings. It also opens a new way to build security and privacy controls directly into hardware. Neuromorphic hardware is still mostly in research and pilot stage today, for...

www.linkedin.com

Yep. Cybersecurity at the edge is the greatest unmet need for IoT and all wired and wireless connexions. Add a bit of federated learning and toss in a few RAGs, ...

RAGs to riches!

 

[7für7]

Clearly the future belongs to Brainchip
It’s just the waiting
But I think we have a lot less time to wait now, as most of the waiting is done
It could be only months not years now , which I think is a huge milestone and positive outlook

Patience of the genuine Brainchip shareholder

 

[7für7]

BRAINCHIP PLEASE ACTION!!!!

“A new law has come into force in the EU that aims to give customers control over their own data — from cars to smartphones. For companies, this poses existential challenges. They are now searching for new strategies to keep the data in their own hands.”

Data Act in Kraft: Die neue EU-Regel, die Geschäftsmodelle zerstört - WELT

In der EU ist ein neues Gesetz in Kraft getreten, das Kunden die Hoheit über ihre Daten geben soll – vom Auto bis zum Smartphone. Unternehmen stellt das vor existenzielle Herausforderungen. Jetzt suchen sie neue Strategien, um die Daten für sich zu behalten.

www.welt.de

 

[TECH]

BrainChip & Parsons Partner to Advance Edge AI Defense

Neuromorphic Akida processors enable next-generation defense AI with real-time intelligence and low-power performance

itdigest.com

This is a great little article; it seems to me at least that the AKD1500 mass production run relates to this agreement, and if you read what
is stated in the company's update from Sean, reinforces what I think.

Things are bubbling away in the pot very nicely thank you.

Tech (founders' territory)

 

[Flenton]

Clearly the future belongs to Brainchip
It’s just the waiting
But I think we have a lot less time to wait now, as most of the waiting is done
It could be only months not years now , which I think is a huge milestone and positive outlook

I tend to agree with you now. With what Sean said in that last interview and the recent announcements I feel by the time the chips are available for sale we'll be seeing a nice increase in revenue.
Also we have to remember that Sean presented a 5 year plan to the board and this time next year it will be coming on 5 years. The board would not have signed off on a vision of still running in the red in 5 years time in my opinion.
So I think we'll be smiling with some very patient and relieved people come this time next year.

 

[BrainShit]

Things are definitely heating up..... Have a good weekend chippers

That must be Leonard, I fear bad things... or maybe some shorters might be greating the moon.

 

[smoothsailing18]

If some could help this layman please bring the following over from hot crapper..... Rayz.... last post today with 6 or so attachments... It involves brainchip and Tesla's robots ... it looks like brainchip is compatible on 50 different robots

 

[SharesForBrekky]

As this is over a couple of weeks old, so sorry if it's already been posted:

Physical AI: How NVIDIA and Tesla Are Shaping Embodied Intelligence

Explore how NVIDIA, Tesla, and global innovators are driving the rise of Physical AI—bridging robotics, simulation, and real-world intelligence.

www.zeal3dprinting.com.au

Long read but towards the bottom this was brought up:

"2. Edge AI Hardware Evolution
Signal

The next generation of edge computing chips will merge AI acceleration, energy efficiency, and neuromorphic design, enabling fully autonomous systems with minimal latency and cloud dependence.

Why It Matters

Physical AI devices require on-board computation due to connectivity gaps and the need for safety-critical timing.

Edge chips will determine the practical ceiling for autonomy, particularly in mobile robots, drones, and humanoids.

Key Players & Indicators

NVIDIA Thor, Tesla Dojo, Qualcomm RB5, Hailo, BrainChip Akida, and Google Edge TPU.

Increasing chip specialisation for perception, control, and motion planning.

Watch For

Benchmarking metrics shifting from FLOPS to Watt-per-inference efficiency.

Rise of hybrid compute architectures combining traditional CPUs/GPUs with neuromorphic and analog AI cores."

 

[smoothsailing18]

FF

Quantization-Aware Neuromorphic Architecture for Efficient Skin Disease Classification on Resource-Constrained Devices

 

[Taproot]

FF

Quantization-Aware Neuromorphic Architecture for Efficient Skin Disease Classification on Resource-Constrained Devices

Nice one.
Uni of WA.
PVDM would be all over that one.
Beneficial AI.

 

[Bravo]

If some could help this layman please bring the following over from hot crapper..... Rayz.... last post today with 6 or so attachments... It involves brainchip and Tesla's robots ... it looks like brainchip is compatible on 50 different robots

Here's a direct link to CogniEdge.ai's White Paper by Madhu Gaganam.

I was going to take screen-shots of the excerpts where AKIDA is mentioned, but its mentioned 23 times, so it's probably best to read the whole thing.

Madhu worked at Dell until very recently (September 2025).

I've also taken a few screenshots from CogniEdge.ai's website which I found pertinent.



White Paper
https://media.licdn.com/dms/documen...obatPromotionSource=linkedin_chrome-post_view

From the Website

Transform Your Operations with Cogniedge.ai | CogniEdge.ai

Cogniedge.ai pioneers human-robot collaboration with the CEDR framework, enhancing efficiency in manufacturing and beyond. Join our pilot to lead the HRC market and achieve significant energy savings and error reduction.

cogniedge.ai

 

[Bravo]

A few takeaways from me on CogniEdge.ai’s new white paper on their CEDR framework.

The big picture is they’re trying to make robots adapt to humans, so that production lines run faster, safer, and with lower human cognitive load.

It positions BrainChip Akida 2.0 as a neuromorphic co-processor at the edge working alongside NVIDIA Jetson AGX Thor. The authors frame Akida as the millisecond, low-power reflex layer for multimodal fusion (they reference EEG, RGB, LiDAR), with Thor handling LLM-based reasoning and planning.

One notable line from the paper is “NVIDIA Jetson AGX Thor (2,070 FP4 TFLOPS, Blackwell GPU) and BrainChip Akida 2.0 process data within 8 ms.”

Why Akida is a fit:

• Latency: Event-driven inference gives millisecond-level reactions for safety stops, hand-over timing, and fine motion cues which is critical when people and robots share space.
• Temporal fusion: EEG/vision/LiDAR are sequences, not static snapshots; Akida +TENNs thrive on time-based patterns (micro-gestures, intent shifts, motion continuity, anomaly spikes).
• Power & thermals (SWaP): Sub-watt always-on reflex logic means you can put intelligence on the arm/drone/sensor, not just in a central box.
• On-device learning: Few-shot updates let the system personalize to a specific operator or task variant without a full retrain.
• Privacy: Processes the EEG/vision locally and share features/alerts only which reduces network load.

They explicitly reference Tesla’s Optimus, alongside UR5 cobots and DJI drones as target platforms in the concept. If humanoids like Optimus become common in factories, this “reflex-plus-reasoning” split is exactly what you need for contact sensing, micro-gestures, and balance and interaction reflexes.

In short, it seems to be one of the first papers to present a credible picture of how neuromorphic computing could underpin Industry 5.0, bridging human intent, robot coordination, and edge intelligence into a single framework.


Some excerpts from the White Paper below.


1

2

3

 

[Bravo]

If Madhu Gaganam ( CogniEdge.ai ) was involved in driving manufacturing/edge solution architecture at Dell, I imagine he’d be interfacing with NVIDIA programs, roadmaps, and reference stacks.

Looks like his current CogniEdge.ai White Paper with conceptual pairing of NVIDIA's Thor + BrainCHip's Akida naturally builds on that background.

While at Dell Technologies, Madhu wrote some guest pieces for Forbes.

Take a. look at this expert from an article he wrote, which was published 26 June 2025.

It seems to evidence that Dell and NVIDIA are deeply invested in edge computing, and it’s a credible backdrop for why they (or partners in their orbit) would explore neuromorphic options next IMO.

Notcie the direct quote from NVIDIA's Himanshu Iyer, stating that AI + edge computing lets manufacturers act on data “at the source.” That’s the justification for moving compute onto devices, which is where neuromorphic could fit.

Obviously, none of the cited Dell/NVIDIA materials say “we’re using neuromorphic today.” But I think it shows a strong, official push to the edge, which is the practical on-ramp where neuromorphic makes sense to evaluate.

Exerpt Only

Smart Factories, Bold Futures: Advancing AI And Edge Computing In Manufacturing

Machines operate autonomously, self-correcting in real time to prevent downtime. Workers, empowered by AI, focus on innovation rather than routine tasks.

www.forbes.com

 

[Bravo]

BrainChip & Parsons Partner to Advance Edge AI Defense

Neuromorphic Akida processors enable next-generation defense AI with real-time intelligence and low-power performance

itdigest.com

This is a great little article; it seems to me at least that the AKD1500 mass production run relates to this agreement, and if you read what
is stated in the company's update from Sean, reinforces what I think.

Things are bubbling away in the pot very nicely thank you.

Tech (founders' territory)

Hi Tech,

Thanks for posting this article. There are so many mind-blowing statements here!

“This agreement… harnesses neuromorphic AI to deliver real-time, low-power intelligence at the tactical edge… and will redefine defense operations.” — Mike Kushin, President of Defense & Intelligence, Parsons

That’s Parson's Defense & Intelligence president on the record, pitching neuromorphic AI as a step-change for real-time, low-power intelligence at the edge. Let's just let that sink in for a moment!

Its also saying they WILL integrate BrainChip’s Akida into “mission-ready edge AI platforms.” This feels program-level, not just a pilot.

Plus the combo of multi-year terms, explicit supply & pricing language such as tiered pricing for high-volume deployment, and integration into Parsons’ mission-ready platforms feels like its signalling intent to scale across multiple, real defense use cases.

 

[7für7]

There are some nice reads

 

[manny100]

Here's a direct link to CogniEdge.ai's White Paper by Madhu Gaganam.

I was going to take screen-shots of the excerpts where AKIDA is mentioned, but its mentioned 23 times, so it's probably best to read the whole thing.

Madhu worked at Dell until very recently (September 2025).

I've also taken a few screenshots from CogniEdge.ai's website which I found pertinent.



White Paper
https://media.licdn.com/dms/documen...obatPromotionSource=linkedin_chrome-post_view






View attachment 92357

View attachment 92358




From the Website

View attachment 92359


View attachment 92360

Transform Your Operations with Cogniedge.ai | CogniEdge.ai

Cogniedge.ai pioneers human-robot collaboration with the CEDR framework, enhancing efficiency in manufacturing and beyond. Join our pilot to lead the HRC market and achieve significant energy savings and error reduction.

cogniedge.ai

AKIDA Gen2 features in the validation section of pretty much every area of the white paper. The Robotics the paper talks about cannot happen without AKIDA GEN 2.
I note in the latest video a few days ago Sean the possibility of licences for gen 2 in the next 6 months was mentioned.