BRN Discussion Ongoing

[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.

www.nurjanatech.com

View attachment 88229 View attachment 88230 View attachment 88231

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

View attachment 88232


View attachment 88233

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[/*

---

---

 

[TheDrooben]

Some interesting recent posts by Cecilia Pisano:

View attachment 88235

View attachment 88236

View attachment 88237 View attachment 88238

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

View attachment 88242 View attachment 88243

---

View attachment 88239

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]

---

How the share price try to impress us…

 

[Doz]

 

[Space Cadet]

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.

On dilution. If a board member is on $200;000 per year + $500,000 per year in shares. (Made up figures) then if shares issued at 20c then that is 2.5 million shares per year. If at 40c per share that is 1.25 million shares. If $1 that is 500,000 shares. They must be meeting milestones to receive shares but what are the milestones. To my knowledge they aren't made public. If you were management and you knew in a few years there would be a tipping point and share price explosion would you be in a hurry to hype and prop up the price? Just a theory not necessarily accurate. Lack of transparency gives birth to such theories because of lack of such transparency. The CEO could be sitting on 20 million shares or so by the time the share price runs. If it runs to $3 now that is a pretty fair wage. In hind sight maybe fair wage isn't the correct terminology but you get my drift.

SC

 

[7für7]

On dilution. If a board member is on $200;000 per year + $500,000 per year in shares. (Made up figures) then if shares issued at 20c then that is 2.5 million shares per year. If at 40c per share that is 1.25 million shares. If $1 that is 500,000 shares. They must be meeting milestones to receive shares but what are the milestones. To my knowledge they aren't made public. If you were management and you knew in a few years there would be a tipping point and share price explosion would you be in a hurry to hype and prop up the price? Just a theory not necessarily accurate. Lack of transparency gives birth to such theories because of lack of such transparency. The CEO could be sitting on 20 million shares or so by the time the share price runs. If it runs to $3 now that is a pretty fair wage. In hind sight maybe fair wage isn't the correct terminology but you get my drift.

SC

Just a quick thought, since we’re already speculating…
As far as I know, the shares don’t belong to management right away — and even if they do, they can’t just sell them freely.
There are strict rules in place… vesting periods, lock-up phases, insider restrictions, etc.

The whole process is heavily regulated to prevent abuse of certain situations.
I haven’t really dug deep into the topic, but with companies like Mixup you start to realize how complex it all actually is.

I think sometimes we oversimplify things like: “They get shares and just dump them all at $3.”
But that’s probably not how it works in reality — at least not that directly, and definitely not without conditions.

Anyway… what do I know with my little mouse-sized share

But it helps to shift the perspective a bit.

 

[itsol4605]

Today we dive deep into BrainChip Holdings (BRN) — a small-cap AI chip company with roots in France and Australia, quietly revolutionizing the AI edge computing world.

Their Akida neuromorphic chip mimics the human brain, consumes ultra-low energy, and enables real-time learning right on the device.

Why this stock matters:
Less than €500M market cap but massive 10X growth potential
Serving giants like Renault, Bosch, and STMicro Backed by the EU semiconductor policy
Already in real-world deployment: security, industrial, medical
If you’re tracking undervalued tech gems, AI chips, and future leaders beyond Nvidia, you can’t afford to miss this one.

 

[jrp173]

Today we dive deep into BrainChip Holdings (BRN) — a small-cap AI chip company with roots in France and Australia, quietly revolutionizing the AI edge computing world.

Their Akida neuromorphic chip mimics the human brain, consumes ultra-low energy, and enables real-time learning right on the device.

Why this stock matters:
Less than €500M market cap but massive 10X growth potential
Serving giants like Renault, Bosch, and STMicro Backed by the EU semiconductor policy
Already in real-world deployment: security, industrial, medical
If you’re tracking undervalued tech gems, AI chips, and future leaders beyond Nvidia, you can’t afford to miss this one.

I'm guessing you didn't bother to listen to this , before you posted it here?

Would be a good idea if people listen to these podcasts before they post them and waste other shareholders valuable time.

 

[Bravo]

I’m quite hopeful about the possibility of a three-way collaboration between STMicroelectronics, HaiLa and BrainChip.

STMicroelectronics recently unveiled its fifth-generation Human Presence Detection (HPD) system for laptops, PCs, and other devices using Windows Hello biometric authentication (see link to article below). This new sensor system leverages Time-of-Flight (ToF) technology to detect user presence, recognize gestures, track head and hand posture, and even monitor wellness. It currently operates at low power, but the jump to ultra-low power seems like the logical next step, and that’s where BrainChip could potentially deliver significant value IMO.

Neuromorphic processing is a natural fit for Time-of-Flight systems. Akida activates only when it detects a relevant event, such as a hand gesture or movement, processing data locally without relying on the cloud or a central CPU. This event-driven approach could offer STMicroelectronics a significant edge in both privacy and ultra-low-power operation IMO.

From a commercial and strategic standpoint, BrainChip’s IP model could allow:

• Akida to be embedded directly into ST MCUs for edge-AI capabilities
• Bundled solutions with HaiLa’s ultra-low-power Wi-Fi to create fully connected, energy-efficient sensor nodes
• Integration into ST’s own companion AI chips offered to OEMs targeting consumer, industrial, or automotive markets

HaiLa’s EVAL2000 dev kit features an STM32U5 MCU.

Given HaiLa’s collaboration with BrainChip, there’s clear technological alignment that could potentially support a deeper, tri-party partnership.

Thanks to this screen shot from @Doz we can see STMicroelectronics and BrainChip aren’t strangers. Guillaume Caille (Strategic Marketing and Communications at STMicroelectonics ) engaging with HaiLa /BrainChip posts on LinkedIn could be another breadcrumb worth watching.

Caille's role possibly involves tracking emerging strategic partnerships, his "like" might indicate interest in co-developing future solutions.

STMicroelectronics has shipped over 2 billion ToF-based devices. Even a small % of that market adopting Akida IP would be a game-changer.

https://www.fierceelectronics.com/sensors/stmicro-intros-5th-gen-sensor-system-detect-human-presence

 

[jrp173]

Lost your marbles

Have you listened to it yourself?

It's AI generated rubbish.

Some of the things in the video (to save you listening to it).

- BrainChip is a small cap EU stock
- current mc of less than 500M EUR
- registered in Australia but their core AI chip R&D centre is in France
- we serve a large number of European technology clients
- says we have begun technical testing with Renault, Bosch and ST Micro Electronics
- we have gone from a small cap stock to an explosive one
- many retail investors have not heard of BRN
- revenue is less than €10 million but the loss is well controlled
- BrainChip is expected to receive policy and financial support
- Customers in Germany, Italy, the Netherlands and other places
- the SP fell back 40% in 2024 due to adjustment of technology stocks rather than company fundamentals
- according to the company's disclosure it is expected that more than 10 customers will enter the mass production cooperation stage next year
- revenue is less than €10 million but the loss is well controlled
- however the good news is the company's operating costs are extremely low cash flow is stable and it has a clear business plan and partner support
- it has 10x potential in the future
- don't wait until it explodes before you regret it

Not me that's lost their marbles Mate.

I'd suggest whoever created the video has totally lost their marbles.....

 

[Pom down under]

Today we dive deep into BrainChip Holdings (BRN) — a small-cap AI chip company with roots in France and Australia, quietly revolutionizing the AI edge computing world.

Their Akida neuromorphic chip mimics the human brain, consumes ultra-low energy, and enables real-time learning right on the device.

Why this stock matters:
Less than €500M market cap but massive 10X growth potential
Serving giants like Renault, Bosch, and STMicro Backed by the EU semiconductor policy
Already in real-world deployment: security, industrial, medical
If you’re tracking undervalued tech gems, AI chips, and future leaders beyond Nvidia, you can’t afford to miss this one.

 

[Fullmoonfever]

Listed 3 weeks ago. Not so much about the vacancy but I liked they are a pushing for their first launch this year....trusting 'Akida Onboard"

Also, be great if the Imec award comes to fruition.

Sales and Marketing Coordinator - JOBJOB

ABOUT EDGX: EDGX is a fast-growing Belgian space tech startup revolutionising the industry with intelligent, adaptive spacecraft. We’ve experienced rapid growth and were honored to win the imec iStart “Next Unicorn 2024” award. This year, we’re also preparing for our first rocket launch —a huge...

jobjob.eu

Sales and Marketing Coordinator​

• EDGX

Brussels, Belgium
Full-time
Published: Posted 3 weeks ago

Apply now

---

ABOUT EDGX:

EDGX is a fast-growing Belgian space tech startup revolutionising the industry with intelligent, adaptive spacecraft. We’ve experienced rapid growth and were honored to win the imec iStart “Next Unicorn 2024” award. This year, we’re also preparing for our first rocket launch —a huge milestone.

Our vision is clear: Satellites that react in real time and deliver ultra-fast global connectivity powered by onboard AI. Our Data Processing Unit (DPU) is paving the way for this future. With support from Imec.istart, ESA, and the European Commission, we’re making it happen.

We’re looking for passionate people to join our team and help bring our vision to life. Are you ready to make an impact in space tech? We want to hear from you. Join a dynamic team driving growth in the space industry by securing new business, nurturing key client relationships, and elevating our brand through innovative marketing and high-impact industry presence. Take the lead in shaping the future with powerful sales strategies and creative content that resonates.

CORE VALUES:

Pioneering Expertise

We are relentlessly driven to establish ourselves as experts in an uncharted domain. Taking on a steep learning curve is not a challenge but an opportunity for growth. As a team, we strive to unlock the potential of neuromorphic computing in space, a learning path nobody has walked before. To achieve that goal, we need to constantly push the boundaries of our own knowledge.

Structured Focus

Our ambitious goal of transforming the space industry with neuromorphic computing requires a collective focus. While the impact of our efforts may be years away, we are united in our fixation to reach it as soon as possible. Whether it's about making long-term strategic decisions or creating structure where there is none, our shared focus guides us towards our vision.

 

[7für7]

Hey shorter…..

 

[Diogenese]

I’m quite hopeful about the possibility of a three-way collaboration between STMicroelectronics, HaiLa and BrainChip.

STMicroelectronics recently unveiled its fifth-generation Human Presence Detection (HPD) system for laptops, PCs, and other devices using Windows Hello biometric authentication (see link to article below). This new sensor system leverages Time-of-Flight (ToF) technology to detect user presence, recognize gestures, track head and hand posture, and even monitor wellness. It currently operates at low power, but the jump to ultra-low power seems like the logical next step, and that’s where BrainChip could potentially deliver significant value IMO.

Neuromorphic processing is a natural fit for Time-of-Flight systems. Akida activates only when it detects a relevant event, such as a hand gesture or movement, processing data locally without relying on the cloud or a central CPU. This event-driven approach could offer STMicroelectronics a significant edge in both privacy and ultra-low-power operation IMO.

From a commercial and strategic standpoint, BrainChip’s IP model could allow:

• Akida to be embedded directly into ST MCUs for edge-AI capabilities
• Bundled solutions with HaiLa’s ultra-low-power Wi-Fi to create fully connected, energy-efficient sensor nodes
• Integration into ST’s own companion AI chips offered to OEMs targeting consumer, industrial, or automotive markets

HaiLa’s EVAL2000 dev kit features an STM32U5 MCU.

Given HaiLa’s collaboration with BrainChip, there’s clear technological alignment that could potentially support a deeper, tri-party partnership.

Thanks to this screen shot from @Doz we can see STMicroelectronics and BrainChip aren’t strangers. Guillaume Caille (Strategic Marketing and Communications at STMicroelectonics ) engaging with HaiLa /BrainChip posts on LinkedIn could be another breadcrumb worth watching.

Caille's role possibly involves tracking emerging strategic partnerships, his "like" might indicate interest in co-developing future solutions.

STMicroelectronics has shipped over 2 billion ToF-based devices. Even a small % of that market adopting Akida IP would be a game-changer.



View attachment 88256

https://www.fierceelectronics.com/sensors/stmicro-intros-5th-gen-sensor-system-detect-human-presence

Hi Bravo,

I'm channeling the Ogre,

Certainly Akida could be used to great advantage in the STM ToF wake detector, just as our partnership with HaiLa shows that HaiLa can also benefit from Akida.

However, the purposes for which each is intended is quite distinct, as is the underlying technology.

STM comprises an IR transmitter and IR detector to measure reflected IR pulses and a ToF det4ector to measure the time of reception relative to transmission. The example given in their patent is to detect whether a person is approaching a computer so as to provide a wake signal.

US12066881B2 Motion based device wake up 20220614 ToF

HaiLa on the other hand uses a modified WiFi receiver and a specialized RFID tag which modifies and retransmits the received WiFi to detect the presence of the tag in the "ambient" WiFi signal field by measuring the difference in ToF of the direct and retransmitted modified WiFi.

US12267201B1 Systems and methods for estimating symbol timing in received data frames 20241015

So, while both technologies could be used side-by-side, there does not seem to be any particulay synergy in combining them.