BRN Discussion Ongoing

[Stable Genius]

We are proud to present the Neurospace Project: a collaboration between Frontgrade Gaisler and BrainChip supported by the European Space Agency - ESA. | Frontgrade Gaisler

We are proud to present the Neurospace Project: a collaboration between Frontgrade Gaisler and BrainChip supported by the European Space Agency - ESA. At its center: GR801, our first neuromorphic AI solution for space. GR801 is built on the radiation-hardened NOEL-V processor and powered by...

www.linkedin.com

There is a 2 min movie talking up the collaboration but it want copy across so have to view it in the LinkedIn link!


We are proud to present the Neurospace Project: a collaboration between Frontgrade Gaisler and BrainChip supported by the European Space Agency - ESA.

At its center: GR801, our first neuromorphic AI solution for space.
GR801 is built on the radiation-hardened NOEL-V processor and powered by BrainChip's Akida.

It delivers ultra-low power, real-time pattern recognition, and onboard decision-making without requiring Earth contact.
This is more than a milestone.
It's a paradigm shift for AI at the edge of space exploration.

Learn more: https://lnkd.in/dMq9sxkp
And https://lnkd.in/dSx8_mTQ
Also available on YouTube: https://lnkd.in/dC6_aWR2

#NeuromorphicAI #SpaceTech

 

[itsol4605]

Wow, that is interesting!
I recently read about how a single changed pixel in a large image can lead to a completely different result.

And the reason lies in the precision with which images are supposed to be recognized.
With the many millions or billions of calculations in matrices, one mistake leads to major changes.

I'm excited to share that our paper, titled 'Risk Analysis of One-Pixel Image Defects in Safety-Critical Deep Neural Networks', will be presented at the WAISE Workshop during the SAFECOMP 2025… | Dr. Krystian Radlak

I'm excited to share that our paper, titled 'Risk Analysis of One-Pixel Image Defects in Safety-Critical Deep Neural Networks', will be presented at the WAISE Workshop during the SAFECOMP 2025 conference! You can check out the full program here: https://lnkd.in/d4776rig. You can find the link...

www.linkedin.com

 

[manny100]

Partnership between BrainChip and HaiLa reflects future of smart edge devices—where sensor intelligence, connectivity, and compute are optimized for power.

https://lnkd.in/gsUx3AK8

hashtag#dataquest hashtag#BrainChip hashtag#HaiLa hashtag#EdgeAI hashtag#UltraLowPower hashtag#BackscatterWiFi hashtag#NeuromorphicAI hashtag#IoTSensors hashtag#BatteryFree hashtag#SmartInfrastructure

 

[Frangipani]

We are proud to present the Neurospace Project: a collaboration between Frontgrade Gaisler and BrainChip supported by the European Space Agency - ESA. | Frontgrade Gaisler

We are proud to present the Neurospace Project: a collaboration between Frontgrade Gaisler and BrainChip supported by the European Space Agency - ESA. At its center: GR801, our first neuromorphic AI solution for space. GR801 is built on the radiation-hardened NOEL-V processor and powered by...

www.linkedin.com

There is a 2 min movie talking up the collaboration but it want copy across so have to view it in the LinkedIn link!


We are proud to present the Neurospace Project: a collaboration between Frontgrade Gaisler and BrainChip supported by the European Space Agency - ESA.

At its center: GR801, our first neuromorphic AI solution for space.
GR801 is built on the radiation-hardened NOEL-V processor and powered by BrainChip's Akida.

It delivers ultra-low power, real-time pattern recognition, and onboard decision-making without requiring Earth contact.
This is more than a milestone.
It's a paradigm shift for AI at the edge of space exploration.

Learn more: https://lnkd.in/dMq9sxkp
And https://lnkd.in/dSx8_mTQ
Also available on YouTube: https://lnkd.in/dC6_aWR2

#NeuromorphicAI #SpaceTech

Love the video - here it is on YouTube:

 

[HopalongPetrovski]

We are proud to present the Neurospace Project: a collaboration between Frontgrade Gaisler and BrainChip supported by the European Space Agency - ESA. | Frontgrade Gaisler

We are proud to present the Neurospace Project: a collaboration between Frontgrade Gaisler and BrainChip supported by the European Space Agency - ESA. At its center: GR801, our first neuromorphic AI solution for space. GR801 is built on the radiation-hardened NOEL-V processor and powered by...

www.linkedin.com

There is a 2 min movie talking up the collaboration but it want copy across so have to view it in the LinkedIn link!


We are proud to present the Neurospace Project: a collaboration between Frontgrade Gaisler and BrainChip supported by the European Space Agency - ESA.

At its center: GR801, our first neuromorphic AI solution for space.
GR801 is built on the radiation-hardened NOEL-V processor and powered by BrainChip's Akida.

It delivers ultra-low power, real-time pattern recognition, and onboard decision-making without requiring Earth contact.
This is more than a milestone.
It's a paradigm shift for AI at the edge of space exploration.

Learn more: https://lnkd.in/dMq9sxkp
And https://lnkd.in/dSx8_mTQ
Also available on YouTube: https://lnkd.in/dC6_aWR2

#NeuromorphicAI #SpaceTech

Fantastique.
So much more engaging than asking the fridge what "vacation mode" is all about.
More of this!!!

 

[7für7]

I was talking with ChatGPT about Brainchip and endet up with this …

My post:


I’ve said it before on TSE .. none of this makes any sense to me anymore.
BrainChip has so many well-known partners, licensees, universities, and experts who speak positively about Akida and its potential. Everyone keeps saying it’s a game-changer, with unmatched energy efficiency and real-world applications. The potential is enormous.

And yet… the share price is utterly pathetic.

The management seems to do nothing but quote musicals, say things like “we hope that…” or “we see our product in every device” .but they take no actual steps to get real attention on the stock.

What’s going on? What are they waiting for?

Response:

You’re definitely not alone in feeling this. Many long-term holders are asking the same question: How can a company with such revolutionary tech and such a powerful network be valued so poorly?

Let’s break it down:

The contradiction:

• Tech: Akida is brilliant. Ultra-low power, edge-native, ideal for AIoT. Validated by experts, research labs, and devs worldwide.
• Partners: ARM, Edge Impulse, Mercedes-Benz hints, NASA references, universities.
• Potential: Everyone says “this chip could be in everything” – phones, cars, sensors, wearables.
• Reality: Sub-€0.10 stock, constant dilution, and nearly zero trust from the broader market. Why?

What’s wrong?

1. No significant revenue yet.

Lots of partners, yes – but none seem to have converted into real, meaningful licensing income. Without that, the market sees only R&D, not business.

2. Vague communication.

Management loves to say:
“We see Akida in all devices”
“We believe the world will see its value”

But there’s rarely anything concrete – no hard deals, no revenue numbers, no OEM names.

3. Dilution kills confidence.
The constant use of ATMs, performance rights, and stock options has deeply eroded investor trust. More shares, same pie.

4. Weak investor communication.
Other tech firms do roadshows, PR pushes, interviews, demos. BrainChip gives us Broadway quotes and philosophical posts – but no strategic IR campaign.

5. Market suspicion.
Too much promise, too little delivery. Until an OEM ships actual products with Akida inside – and BrainChip reports real revenue – the market stays skeptical.

So what is the management waiting for?

• Option 1: They do have something but are under strict NDAs – waiting for their partners to launch products before they can speak.
• Option 2: There simply isn’t anything major yet. Just more talks, demos, trials – and no conversions.
• Option 3: They’re trying to avoid overhyping, aiming for long-term trust… but forgot that even long-term investors need clarity and communication.

Bottom line:

You’re right: the gap between Akida’s perceived value and BRN’s actual market cap is absurd – but not accidental.

Management is either silent because they’re legally obligated – or because there’s simply nothing new to say.

Either way, it’s costing them trust, momentum, and shareholder confidence.

Until we see:

• Real, named customers
• Public revenue from licenses
• Clear product integrations

…the market will stay on the sidelines.

It’s not fair. But it’s how the game works.

 

[Frangipani]

Maybe I have missed it, but has anyone found out already which FPGA provider Brainchip‘s IP has been demoed on?
(I‘m hoping for AMD‘s Xilinx, but Intel‘s Altera would be nice too …)

Maybe my above question was not formulated clearly enough:

I would like to know on which company‘s FPGA chip aka hardware (e.g. Xilinx, Altera, Lattice Semiconductor, Microchip, …) were used for the „software/algorithm/IP“ demos (the ones that didn’t run on a Akida 1000 or similar).

Hi @CrabmansFriend,

when googling for more information on BrainChip’s Aether Core LLM accelerator on FPGA (cf. https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-469022), I came across a few links to a recent (now expired) BrainChip job ad for a Hardware Engineering intern that says “Our current demo utilizes Intel x86 in conjunction with Aether Core LLM for showcasing our platform. This internship project aims to create an advanced proof-of-concept platform by integrating the LLM with a high-end ARM series. This innovation will serve as an impressive showcase at various demo and trade shows, highlighting our LLM capabilities with ARM technology”.

Can we infer from the info that the current LLM FPGA Tech Demonstrator runs on an Intel x86 CPU, it is highly likely / must be based on an Altera FPGA or would it be entirely possible to mix and match? I have no idea…

Altera® FPGA Products - FPGA and SoC FPGA Devices and Solutions

Altera® FPGAs offer a wide variety of configurable embedded SRAM, high-speed transceivers, DSP blocks, high-speed I/Os, logic blocks, and routing.

www.intel.com

https://jobs.fox8.com/jobs/hardware-engineering-intern-edge-ai-focus-laguna-hills-california/2175406270-2/

 

[Baneino]

I was talking with ChatGPT about Brainchip and endet up with this …

My post:


I’ve said it before on TSE .. none of this makes any sense to me anymore.
BrainChip has so many well-known partners, licensees, universities, and experts who speak positively about Akida and its potential. Everyone keeps saying it’s a game-changer, with unmatched energy efficiency and real-world applications. The potential is enormous.

And yet… the share price is utterly pathetic.

The management seems to do nothing but quote musicals, say things like “we hope that…” or “we see our product in every device” .but they take no actual steps to get real attention on the stock.

What’s going on? What are they waiting for?

Response:

You’re definitely not alone in feeling this. Many long-term holders are asking the same question: How can a company with such revolutionary tech and such a powerful network be valued so poorly?

Let’s break it down:

The contradiction:

• Tech: Akida is brilliant. Ultra-low power, edge-native, ideal for AIoT. Validated by experts, research labs, and devs worldwide.
• Partners: ARM, Edge Impulse, Mercedes-Benz hints, NASA references, universities.
• Potential: Everyone says “this chip could be in everything” – phones, cars, sensors, wearables.
• Reality: Sub-€0.10 stock, constant dilution, and nearly zero trust from the broader market. Why?

What’s wrong?

1. No significant revenue yet.

Lots of partners, yes – but none seem to have converted into real, meaningful licensing income. Without that, the market sees only R&D, not business.

2. Vague communication.

Management loves to say:
“We see Akida in all devices”
“We believe the world will see its value”

But there’s rarely anything concrete – no hard deals, no revenue numbers, no OEM names.

3. Dilution kills confidence.
The constant use of ATMs, performance rights, and stock options has deeply eroded investor trust. More shares, same pie.

4. Weak investor communication.
Other tech firms do roadshows, PR pushes, interviews, demos. BrainChip gives us Broadway quotes and philosophical posts – but no strategic IR campaign.

5. Market suspicion.
Too much promise, too little delivery. Until an OEM ships actual products with Akida inside – and BrainChip reports real revenue – the market stays skeptical.

So what is the management waiting for?

• Option 1: They do have something but are under strict NDAs – waiting for their partners to launch products before they can speak.
• Option 2: There simply isn’t anything major yet. Just more talks, demos, trials – and no conversions.
• Option 3: They’re trying to avoid overhyping, aiming for long-term trust… but forgot that even long-term investors need clarity and communication.

Bottom line:

You’re right: the gap between Akida’s perceived value and BRN’s actual market cap is absurd – but not accidental.

Management is either silent because they’re legally obligated – or because there’s simply nothing new to say.

Either way, it’s costing them trust, momentum, and shareholder confidence.

Until we see:

• Real, named customers
• Public revenue from licenses
• Clear product integrations

…the market will stay on the sidelines.

It’s not fair. But it’s how the game works.

Looking Back: Early Nvidia Investors (1999–2005)

Back then, Nvidia was a small, visionary tech company, developing GPU technology before the world realized its full potential. The stock was volatile, and few believed in it long-term:

YearNvidia Stock Price (split-adjusted)Investor Sentiment

1999Below $1Hopeful but uncertain – early believers, many skeptics
2002Dropped ~80% during tech crashFrustration, doubt, some sold in panic
2005Began recoveryEarly patience began to pay off


Many early Nvidia shareholders felt ignored, doubted, even ridiculed – until the world finally realized the value of GPUs for gaming, AI, and computing.


---

Now: BrainChip (BRN) Shareholders in 2024–2025

Current SentimentCompared to Nvidia's Early Years

High hopes for disruptive neuromorphic tech (Akida) Similar to Nvidia’s GPU vision
Slow commercialization, long wait Like Nvidia before mass-market adoption
Market mostly ignores the company despite real progress Nvidia was treated similarly
Strong community belief and long-term conviction Just like Nvidia’s early retail holders



---

Final Thought:

> Yes – it feels very similar.
Early Nvidia investors had to wait, be patient, and endure criticism and market dips.
Those who held on through the uncertain years witnessed one of the greatest tech success stories in history.



If BrainChip fulfills even part of its potential, many current investors could one day say:

> “I was in before anyone believed.”



Conviction + Patience = Historic Opportunity.
There are
no guarantees – but the parallels are real.

 

[Diogenese]

Hi @CrabmansFriend,

when googling for more information on BrainChip’s Aether Core LLM accelerator on FPGA (cf. https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-469022), I came across a few links to a recent (now expired) BrainChip job ad for a Hardware Engineering intern that says “Our current demo utilizes Intel x86 in conjunction with Aether Core LLM for showcasing our platform. This internship project aims to create an advanced proof-of-concept platform by integrating the LLM with a high-end ARM series. This innovation will serve as an impressive showcase at various demo and trade shows, highlighting our LLM capabilities with ARM technology”.

Can we infer from the info that the current LLM FPGA Tech Demonstrator runs on an Intel x86 CPU, it is highly likely / must be based on an Altera FPGA or would it be entirely possible to mix and match? I have no idea…

Altera® FPGA Products - FPGA and SoC FPGA Devices and Solutions

Altera® FPGAs offer a wide variety of configurable embedded SRAM, high-speed transceivers, DSP blocks, high-speed I/Os, logic blocks, and routing.

www.intel.com

View attachment 88201

https://jobs.fox8.com/jobs/hardware-engineering-intern-edge-ai-focus-laguna-hills-california/2175406270-2/

View attachment 88200

Yes. Intel would be high on the probabilities list. We are partnered with IFS (or in their ecosystem).

The Roadmap shows that GenAI and Akida 2 are available in FPGA, and Akida 3 is "planned".

I think 6 nodes of FPGA was mentioned (in one of the electronics show videos ...?), so it's not the Rolls-Royce version, but would still pack a punch even in FPGA.


https://brainchip.com/brainchip-technology-roadmap/

Now there's an interseting thing I've just noticed:
Akida Gen AI has FP16 and FP 32;
Akida 3 has INT16, FP 16, and FP32.


So GenAI, which is adapted to process LLMs, does not need INT numbers. Or, to put it another way, LLMs are written in FP. GernAI is compatible with open source SSMs and LLMs.

We did use Xilinx many years ago for Brainchip Accelerator:

https://brainchip.com/brainchip-int...n-of-neuromorphic-computing-brainchip-120917/

SAN FRANCISCO, CA — (Marketwired) — 09/12/17 —
BrainChip Holdings Ltd. (ASX: BRN)

• Enables 16 channels of simultaneous video processing;
• Provides a low power, up to 6x speed boost to BrainChip Studio’s CPU-based Artificial Intelligence Software for Object Recognition;
• 7x more efficient than GPU-accelerated deep learning systems

BrainChip Holdings Ltd. (ASX: BRN) (“BrainChip” or “the Company”), a leading developer of software and hardware accelerated solutions for advanced artificial intelligence and machine learning, today announced the release of its hardware acceleration board, BrainChip Accelerator.
...
The processing is done by six BrainChip Accelerator cores in a Xilinx Kintex Ultrascale field-programmable gate array (FPGA).

... but I don't think that that would be relevant, as FPGAs are pretty much COTS products. We would need an FPGA which had sufficient of the correct types of logic circuits.

 

[Frangipani]

New repository set up yesterday on GitHub by NeuroSyd with the title:

Akida-Seizure.

Nothing added as yet but you'd suspect given what they do at the facility it would be our Akida they either been or will be playing with.

NeuroSyd

NeuroSyd has 36 repositories available. Follow their code on GitHub.

github.com

View attachment 83528

View attachment 83529

NeuroSyd Research Laboratory

NeuroSyd Research Laboratory at the Faculty of Engineering, The University of Sydney, is where emerging paradigms in computing, data science, neuro/bio-engineering and nanotechnology collide. NeuroSyd research is highly multidisciplinary and span over a wide range of fields from Device to Data,

sites.google.com

View attachment 83530

Omid Kavehei

The University of Sydney - Cited by 6,831 - nanoelectronics - medical electronics - affective computing - learning machines - integrated circuit design

scholar.google.com

View attachment 83531

Hi @Fullmoonfever,

I found this October 2024 paper titled “Neuromorphic neuromodulation: Towards the next generation of closed-loop neurostimulation” - co-authored by Omid Kavehei - that describes what the research relating to the NeuroSyd GitHub repository is likely going to be about.

https://watermark.silverchair.com/pgae488.pdf?

View attachment 83617 View attachment 83618 View attachment 83619 View attachment 83620 View attachment 83621

Does Table 1, where Akida is falsely labeled as analog, seem somehow familiar?!

Turns out it was you who commented on this error after you had spotted that same table in an earlier version of that paper by the same co-authors in August 2023:

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-338409

View attachment 83624

One of the co-authors happens to be Jason Eshraghian, who has been a Member of our Scientific Advisory Board since August 2024 and was a guest on one of the “This is Our Mission” podcasts shortly after the above 2024 paper was submitted (3 May 2024). I trust he has since found out that Akida is digital.

A corrigendum would have been nice, though.
But maybe he is too busy with other things, such as collaborating with Intel Labs’ researchers on this recent paper titled “Neuromorphic Principles for Efficient Large Language Models on Intel Loihi 2”?

https://arxiv.org/pdf/2503.18002

View attachment 83626

Found a brand new University of Sydney PhD thesis, which is highly likely related to the GitHub “Akida Seizure” repository that one of the two thesis supervisors, Omid Kavehei, had set up under the GitHub name NeuroSyd just over two months ago (which seems to have disappeared since or has possibly been renamed?), spotted by @Fullmoonfever at the time.

Student Profile

www.sydney.edu.au

University of Sydney PhD candidate Andre Zainal, who has a B.Eng. (Biomedical) & B.MedSci background, embarked on his Research PhD in Biomedical Engineering just a week ago, “researching AI-driven neuromorphic hardware for early seizure detection”.
The title of his thesis is “Optimizing Training Algorithms for Neuromorphic Hardware: Enhancing In-Memory Computing with FPGA and Akida Neural Processors for Epileptic Seizure Detection”.

Akida doesn’t have “in-memory-computing”, though?

https://www.linkedin.com/in/andrezainal?originalSubdomain=au

Andre Zainal’s first PhD supervisor Omid Kavehei has been conducting epilepsy research for years:

Staff Profile

www.sydney.edu.au

(…)

 

[Frangipani]

Found a brand new University of Sydney PhD thesis, which is highly likely related to the GitHub “Akida Seizure” repository that one of the two thesis supervisors, Omid Kavehei, had set up under the GitHub name NeuroSyd just over two months ago (which seems to have disappeared since or has possibly been renamed?), spotted by @Fullmoonfever at the time.

Student Profile

www.sydney.edu.au

View attachment 88203




University of Sydney PhD candidate Andre Zainal, who has a B.Eng. (Biomedical) & B.MedSci background, embarked on his Research PhD in Biomedical Engineering just a week ago, “researching AI-driven neuromorphic hardware for early seizure detection”.
The title of his thesis is “Optimizing Training Algorithms for Neuromorphic Hardware: Enhancing In-Memory Computing with FPGA and Akida Neural Processors for Epileptic Seizure Detection”.

Akida doesn’t have “in-memory-computing”, though?

https://www.linkedin.com/in/andrezainal?originalSubdomain=au

View attachment 88204 View attachment 88205 View attachment 88206



Andre Zainal’s first PhD supervisor Omid Kavehei has been conducting epilepsy research for years:

Staff Profile

www.sydney.edu.au

View attachment 88210

View attachment 88212
View attachment 88213

(…)


View attachment 88214

More on Andre Zainal’s two PhD supervisors:

Principal supervisor Omid Kavehei is not only Professor at University of Sydney’s School of Biomedical Engineering, but also Director and Founder of BrainConnect (https://brainconnect.com.au/), the stealth startup “developing novel solutions in long-term interfacing with the brain and body”, where co-supervisor Duy Nhan Truong works as Engineering Lead.

Prior to filling that position, Duy Nhan Truong also used to be at University of Sydney, initially as a PhD student in Electrical and Electronics Engineering (transferred from RMIT University in 2018, PhD thesis completed in 2020, titled “Epileptic Seizure Detection and Forecasting Ecosystems”, principal supervisor: Omid Kavehei; https://ses.library.usyd.edu.au/bitstream/handle/2123/21932/truong_nd_thesis.pdf?) and later as a postdoc.

https://www.linkedin.com/in/omidkaveh/

Duy Nhan Truong - BrainConnect Pty Ltd | LinkedIn

I bring over 5 years of experience in electronics development for medical devices… · Experience: BrainConnect Pty Ltd · Education: University of Sydney · Location: Sydney · 476 connections on LinkedIn. View Duy Nhan Truong’s profile on LinkedIn, a professional community of 1 billion members.

www.linkedin.com

BrainConnect

Subcutaneous ultra-long-term brain machine interfacing

brainconnect.com.au

 

[Frangipani]

We are proud to present the Neurospace Project: a collaboration between Frontgrade Gaisler and BrainChip supported by the European Space Agency - ESA. | Frontgrade Gaisler

We are proud to present the Neurospace Project: a collaboration between Frontgrade Gaisler and BrainChip supported by the European Space Agency - ESA. At its center: GR801, our first neuromorphic AI solution for space. GR801 is built on the radiation-hardened NOEL-V processor and powered by...

www.linkedin.com

There is a 2 min movie talking up the collaboration but it want copy across so have to view it in the LinkedIn link!


We are proud to present the Neurospace Project: a collaboration between Frontgrade Gaisler and BrainChip supported by the European Space Agency - ESA.

At its center: GR801, our first neuromorphic AI solution for space.
GR801 is built on the radiation-hardened NOEL-V processor and powered by BrainChip's Akida.

It delivers ultra-low power, real-time pattern recognition, and onboard decision-making without requiring Earth contact.
This is more than a milestone.
It's a paradigm shift for AI at the edge of space exploration.

Learn more: https://lnkd.in/dMq9sxkp
And https://lnkd.in/dSx8_mTQ
Also available on YouTube: https://lnkd.in/dC6_aWR2

#NeuromorphicAI #SpaceTech

🚀🧠 Neuromorphic computing is heading to space. | Dávid Juhász

🚀🧠 Neuromorphic computing is heading to space. At Frontgrade Gaisler, I’m working on the software support for GR801 — bringing together NOEL-V and Akida into a cohesive, AI-enabled compute platform for future space missions. It’s an exciting and foundational step toward intelligent onboard...

www.linkedin.com

 

[Frangipani]

Arijit Mukherjee is already busy co-organising another Edge AI workshop that will also touch on neuromorphic computing. It is scheduled for 8 October and will be co-located with AIMLSys 2025 in Bangalore:

“EDGE-X 2025: Reimagining edge intelligence with low-power, high-efficiency AI systems”.

🔋✨ Rethinking Edge Intelligence at EDGE-X 2025 | Arijit Mukherjee

🔋✨ Rethinking Edge Intelligence at EDGE-X 2025 📍 Co-located with AI-ML Systems Conference 2025 | Chancery Pavilion, Bangalore | October 8, 2025 As intelligent systems scale across diverse environments—from IoT sensors to autonomous platforms—traditional architectures face new limits. The EDGE-X...

www.linkedin.com

View attachment 87849

Workshop-EDGE-X | The Fifth International Conference on AI ML Systems

www.aimlsystems.org

EDGE-X

The EDGE-X 2025 workshop, part of the Fifth International AI-ML Systems Conference (AIMLSys 2025), aims to address the critical challenges and opportunities in nextgeneration edge computing. As intelligent systems expand into diverse environments—from IoT sensors to autonomous devices—traditional applications, architectures, and methodologies face new limits. EDGE-X explores innovative solutions across various domains, including on-device learning and inferencing, ML/DL optimization approaches to achieve efficiency in memory/latency/power, hardware-software co-optimization, and emerging beyond von Neumann paradigms including but not limited to neuromorphic, in-memory, photonic, and spintronic computing. The workshop seeks to unite researchers, engineers, and architects to share ideas and breakthroughs in devices, architectures, algorithms, tools and methodologies that redefine performance and efficiency for edge computing.

Topics of Interest (including but not limited to the following):
We solicit submissions describing original and unpublished results focussed on leveraging software agents for software engineering tasks. Topics of interest include but are not limited to:

1.Ultra-Efficient Machine Learning

• • TinyML, binary/ternary neural networks, federated learning
  • Model pruning, compression, quantization, and edge-training

2.Hardware-Software Co-Design

• • RISC-V custom extensions for edge AI
  • Non-von-Neumann accelerators (e.g., in-memory compute, FPGAs

3.Beyond CMOS & von Neumann Paradigms

• • Neuromorphic computing (spiking networks, event-based sensing)
  • In-memory/compute architectures (memristors, ReRAM)
  • Photonic integrated circuits for low-power signal processing
  • Spintronic logic/memory and quantum-inspired devices

4.System-Level Innovations

• • Near-/sub-threshold computing
  • Power-aware OS/runtime frameworks
  • Approximate computing for error-tolerant workloads

5.Tools & Methodologies

• • Simulators for emerging edge devices (photonic, spintronic)
  • Energy-accuracy trade-off optimization
  • Benchmarks for edge heterogeneous platforms

6.Use Cases & Deployment Challenges

• • Self-powered/swarm systems, ruggedized edge AI
  • Privacy/security for distributed intelligence
  • Sustainability and lifecycle management
• Program Committee
• Arijit Mukherjee, Principal Scientist, TCS Research
• Udayan Ganguly, Professor, IIT Bombay

Cecilia Pisano from Nurjana Technologies has repeatedly liked BrainChip posts on LinkedIn, and hence her Sardinia-based company has been mentioned by several forum members as potentially playing with Akida:

And here’s the proof that it was indeed worth keeping an eye on Nurjana Tech :

Paper submissions now open for EDGE-X: Rethinking Edge Intelligence | Arijit Mukherjee

Paper submissions now open for EDGE-X: Rethinking Edge Intelligence 📍 Co-located with AI-ML Systems Conference 2025 | Chancery Pavilion, Bangalore | October 8, 2025 🧠 Topics include: • On-device learning and inference • ML/DL optimization for memory, latency, and power • Hardware-software...

www.linkedin.com

Home - NurjanaTech

NurjanaTech provides a wide range of engineering capabilities to support a global customer base whose operations and complex environments require a partner that possesses unique expertise and comprehensive solutions.

www.nurjanatech.com

https://www.linkedin.com/in/cecilia-pisano-6924a9321/

 

[Frangipani]

Cecilia Pisano from Nurjana Technologies has repeatedly liked BrainChip posts on LinkedIn, and hence her Sardinia-based company has been mentioned by several forum members as potentially playing with Akida:

View attachment 88228

And here’s the proof that it was indeed worth keeping an eye on Nurjana Tech :

Paper submissions now open for EDGE-X: Rethinking Edge Intelligence | Arijit Mukherjee

Paper submissions now open for EDGE-X: Rethinking Edge Intelligence 📍 Co-located with AI-ML Systems Conference 2025 | Chancery Pavilion, Bangalore | October 8, 2025 🧠 Topics include: • On-device learning and inference • ML/DL optimization for memory, latency, and power • Hardware-software...

www.linkedin.com

View attachment 88226



View attachment 88227

Home - NurjanaTech

NurjanaTech provides a wide range of engineering capabilities to support a global customer base whose operations and complex environments require a partner that possesses unique expertise and comprehensive solutions.

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https://www.linkedin.com/in/cecilia-pisano-6924a9321/

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Some interesting recent posts by Cecilia Pisano about two projects that Nurjana Technologies is involved in - as a consortium member in the STAALION* project, co-funded by the European Defense Fund (EDF) resp. as a project coordinator and lead in the AIRYS** project, supported by the European Defence Agency (EDA). AIRYS was officially launched last month, but has been in the making for over a year:


*STAALION = “Space Threats Analysis based on Automated reaL-time In-situ capabilities and Onboard processing decentralized Network”

** AIRYS = AI-Based Rapid Prototyping of a Stealth Drone

https://defence-industry-space.ec.e...ilename=EDF-2023-LS-DA-SME-NT STAALION.pdf[/*

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[TheDrooben]

Some interesting recent posts by Cecilia Pisano:

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https://defence-industry-space.ec.europa.eu/document/download/96d634d1-27bc-4843-80b9-83dfd9d22d18_en?filename=EDF-2023-LS-DA-SME-NT%20STAALION.pdf

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One of Nurjana's patents is right up our alley........

WIPO - Search International and National Patent Collections

Happy as Larry

 

[manny100]

It's all in front of us.
What a great time to get in on the ground floor for expected market growth.
i asked AI:
" What is the total global market size thresholds for non existent, small, medium and large neuromorphic AI at the Edge chip markets"
Response:

Global Market Size Thresholds for Neuromorphic AI-at-the-Edge Chips​

To gauge where the neuromorphic AI-at-the-edge chip market stands today, you can use these rough annual revenue bands:

Category	Annual Global Revenue
Non-existent	Below USD 10 million
Small	USD 10 million – 1 billion
Medium	USD 1 billion – 10 billion
Large	Above USD 10 billion

Yole had the total market at $28 mill in 2024 - tiny - practically non existent. They have it growing to $822 mill by 2029 and $8352m by 2034.
By 2034 the market is still small but has had exponential growth with a huge runway in front of us. BRN's stated aim is to be in the top 2 or 3 leaders of a large Neuromorphic AI at the Edge chip market. We are already past the 'chip' only stage as we have our TENNs software and there will be more of that.
It's not often a chance to get in on the ground floor of an industry set for huge growth.
Sean at the Pitt Street conference a couple of months ago that the industry will make the Industrial and Information revolution look like nothing (2.20 mark - see link). Check the video out.
Yole Group - Follow the latest trend news in the Semiconductor Industry
Bing Videos
Clealry it's all in front of us.

 

[manny100]

Pinched from FF on the crapper.

Cecilia Pisano​

Premium member
R&D Lead Engineer/Project Coordinator @ Nurjana Technologies | AI, Space situational awareness, Autonomous UAVs, Optical payloads | PhD in Industrial Engineering
University of LimerickNurjana Technologies
Italy371 connections
Reimagining? We have been applying Brainchip Akida to real use cases for more than 1 year in my company
https://www.linkedin.com/in/cecilia...=feed-detail_comments-list_comment_actor-name
My comment - Appear to be another smaller company like Bascom Hunter seeing the huge growth potential of Brainchip and recognizing that this is their path to huge growth as well.
For proof of this strategy see below quote from the " Department of the Navy SBIR/STTR Transition Program" document. Link also attached.
Navy STP Workspace 2.0
Company Objectives: Bascom Hunter intends to lead the market with this technology, marrying it with our similar advances in neuromorphic photonics and our advanced RF systems designs; creating a new class of “snap-in” neuromorphic processors designed for the U.S. Armed Services and Intelligence Community.

 

[CrabmansFriend]

“Our current demo utilizes Intel x86 in conjunction with Aether Core LLM for showcasing our platform. This internship project aims to create an advanced proof-of-concept platform by integrating the LLM with a high-end ARM series. This innovation will serve as an impressive showcase at various demo and trade shows, highlighting our LLM capabilities with ARM technology”.

Can we infer from the info that the current LLM FPGA Tech Demonstrator runs on an Intel x86 CPU, it is highly likely / must be based on an Altera FPGA or would it be entirely possible to mix and match? I have no idea…

Evening @Frangipani, thanks that's interesting.
I'm not totally sure yet what to conclude from this job ad. As far as I know (and I might be totally wrong here) an Intel/Altera FPGA and x86 architecture initially have nothing to do with each other. So I do not take the mention of the x86-based system as an indication of an Altera FPGA, but it could be.


I probably would interpret this excerpt as:

Current state:

Our model/demo is currently running on an Intel x86 CPU.

Goal (of internship):

We want you to combine "a Raspberry Pi [...] with a custom FPGA-based hardware accelerator".

The aspects I'm less sure about how to interpret them are:

"a custom FPGA-based hardware accelerator"

Does this mean a custom accelerator using an off-the-shelf FPGA?

"integrating the LLM with a high-end ARM series"

"High-End" like a Raspberry Pi (ARM) CPU in comparison to a less beefy/powerfull MCU?

 

[7für7]

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How the share price try to impress us…

 

[Doz]