BRN Discussion Ongoing

[Frangipani]

Speaking of NAOMI4Radar: Presentations on the project’s results have begun… Like this talk earlier today by Franziska Ott (TWT GmbH Science & Innovation) and Geoffrey Kasenbacher (Mercedes-Benz) at ELIV (Electronics in Vehicles) 2025 in Bonn:

#eliv2025 #naomi4radar #mercedesbenz #twtgmbh #radartechnology #autonomousdriving #neuromorphiccomputing #adas #innovation #collaboration | Dr.-Ing. Johanna Kasper

🎤 On stage at ELIV 2025 – Naomi4Radar: Advancing Autonomous Driving with High-Efficiency Neuromorphic Radar Heute auf der Bühne bei der ELIV 2025: Franziska Ott (TWT GmbH Science & Innovation ) und Geoffrey Kasenbacher (Mercedes-Benz AG ) präsentierten im Track “Automotive AI – From Sensor to...

www.linkedin.com

View attachment 92032

English translation:

View attachment 92033

On this slide we can see which specific researchers from each of the project partners were involved in a publication resulting from the project…

View attachment 92034

And here you can see Loihi 2 (the blue box on the left) as well as the Infineon front radar used…

View attachment 92035

In case any of my fellow German speakers would like to check out the (pretty technical) NAOMI4Radar project final reports that the three consortium members - Mercedes-Benz, TWT GmbH Science & Innovation and Uni Lübeck - were obliged to submit due to having received public funding for their project: the “Schlussberichte” have now been uploaded to RENATE (Repositorium für Naturwissenschaften und Technik), which also “serves as the repository for the publication of reports to federally funded research projects”.

While there is both a German and an English version of the accompanying one-page document below, all the final reports are in German only. Each of the three consortium partners submitted an individual report to what was formerly known as Germany’s Federal Ministry for Economic Affairs and Climate Action that had funded 56% of the total 900,000 € project costs (cf. page 15 of https://www.bundeswirtschaftsminist...projektsteckbrief-automatisiertes-fahren.pdf?)

In addition, a more extensive joint report by all three consortium members was also submitted - that’s the one, which I have linked below. Note that while they collaborated with both Intel (who provided the physical Loihi 2 hardware as well as technical support) and Infineon (who provided the front radar and assisted with its integration), those two companies were not consortium members themselves and didn’t receive any of the public funding. Neither was TU München/Munich, whom the consortium also collaborated with.

By the end of their 15 month long project (1 June 2024 - 31 August 2025) titled NAOMI4Radar (Neuromorphic Algorithms for Optimizing Automotive Radar Sensor Processing in Autonomous Vehicles), the researchers had reached TRL* 7 as planned, which is defined as “System prototype demonstration in operational environment”. At the start of the project, their research was considered as being TRL 3.
*TRL = Technology Readiness Level - the highest on the scale is TRL 9.


By the way, Akida gets a mention, too, but not - as one would expect - in the context of the Vision EQXX (page 8):

German original:

“Neuromorphic Computing
Bereits im Konzeptfahrzeug Vision EQXX wurde die Leistungsfähigkeit neuromorpher Ansätze zur Verbesserung der Energieeffizienz demonstriert. Um die Technologie weiterzuentwickeln, arbeitet Mercedes-Benz eng mit Startups, Forschungseinrichtungen und Studierenden zusammen. Dies unterstreicht die Bedeutung von Neuromorphic Computing für das Unternehmen und dessen zukünftige Fahrzeugarchitekturen.”

Translation into English (done by DeepL & refined by Frangipani):

“Neuromorphic computing
The capability of neuromorphic approaches to improve energy efficiency has already been demonstrated in the Vision EQXX concept car. Mercedes-Benz is working closely with start-ups, research institutions and university students to further develop the technology. This emphasises the importance of neuromorphic computing for the company and its future vehicle architectures.”


Instead, BrainChip and Akida get mentioned towards the end (page 35), in a paragraph describing other entities’ progress in this field of research (= radar data processing) that was revealed during the duration of the NAOMI4Radar project.

For the German original, see below.

English translation:
“During the course of the project, it became known that in the US BrainChip Holdings, together with Raytheon, had been awarded a contract for neuromorphic radar processing by the Air Force Research Laboratory. The aim of the project is to implement complex signal processing algorithms, in particular micro-Doppler signature analysis, on neuromorphic hardware. BrainChip's Akida processors offer ultra-low energy consumption and are suitable for high-performance signal processing on energy- and space-constrained platforms such as drones or other mobile systems. The project underlines the growing interest in neuromorphic technology for real-time applications in radar and AI in both the military and commercial sectors.”

NAOMI4Radar - Neuromorphe Algorithmen zur Optimierung der Radar-Sensorik in autonomen Fahrzeugen

Das automatisierte Fahren ist ein für die deutsche Automobilindustrie strategisch wichtiges Innovationsthema. Bei der Entwicklung und dem Einsatz entsprechender Technologien hat die deutsche In-dustrie in den vergangenen Jahren große Fortschritte gemacht. So kommt z.B. die weltweit erste...

oa.tib.eu

https://oa.tib.eu/renate/server/api/core/bitstreams/b418576f-3616-4d66-bec6-11d27e52b7d7/content

[…]

[…]

 

[Frangipani]

Follow-up post by Jerry Kuo with another video that is better in showing what the BrainChip booth looks like:

#brainchip #akida #neuromorphic #edgeai #partnerecosystem #aihardware | Jerry Kuo

Visit BrainChip at Edge AI Taipei 2025! We’re showcasing our full IP + IC + Module neuromorphic solution and a strong partner ecosystem enabling ultra-low-power, real-time edge intelligence. Drop by our booth — I’ll be there to walk you through the demos. #BrainChip #Akida #Neuromorphic...

www.linkedin.com

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View attachment 92935 View attachment 92936

#edgeai #innovation #networking #brainchip #edgeaifoundation | Jerry Kuo

What a blast at the Edge AI Taipei2025 event! 🔥 So great running into so many familiar faces and meeting new ones who are just as passionate about Edge AI. The conversations were deep, the ideas were bold, and the energy was off the charts. 🚀 Can’t wait to see where all these new pipelines and...

www.linkedin.com

Visitors to the BrainChip booth included

- Jason Tsai, Taiwan-based Ecosystem Development Manager at Intel Corporation (Market Development Manager for 5G Network and Edge ecosystem)

https://www.linkedin.com/in/jason-tsai-5a64875/

- Yuan Kuok Nee, Malaysia-based Software Engineer at Intel (at least I presume that’s him)

https://www.linkedin.com/in/yuan-kuok-nee-6169b967/

- Chen Han Lu, Taiwan-based Sales Director at Qualcomm

https://www.linkedin.com/in/han-lu-9241876b/

- YK Wyi, Korea-based Business Development Director APAC Edge AI Foundation

https://www.linkedin.com/in/yk-wyi-7b81834/

Of course they could be friends of Jerry Kuo that dropped by our booth for a chat rather than primarily for business reasons.

 

[Frangipani]

#embeddedworld2025 #anaheimtech #embeddedintelligence #brainchip #techinnovation #aiindevices #realtimeprocessing #smartdevices #techdemos #futureoftech | BrainChip

✨ We're almost ready for Embedded World North America 2025! Our team is heading to Anaheim this week to demonstrate how Akida helps devices think, adapt, and respond in real time. Visit us at our Booth 3080 to connect, explore our live demos, and see how BrainChipis powering the future of...

www.linkedin.com

View attachment 92677

https://www.allaboutcircuits.com/news/embedded-world-north-america-2025-showcases-the-next-chapter-of-embedded-intelligence/

NEWS

Embedded World NA Showcases the Next Chapter of Embedded Intelligence​

one hour ago by Luke James

From neuromorphic edge silicon to formal Rust verification, this year’s show revealed how embedded design is evolving at every level.​

At Embedded World North America 2025, innovation felt less about incremental upgrades and more about integration of hardware with software, of AI with the edge, and of safety with speed.

Across the show floor in Anaheim, CA, companies unveiled new tools and architectures aimed at solving the same underlying challenge: how to make complex embedded systems smarter, safer, and easier to deploy. The five announcements below capture that transition in motion, spanning from neuromorphic processors to formal Rust verification.

BrainChip Brings Neuromorphic Compute to the Edge​

At the show, BrainChip launched the AKD1500 edge AI co-processor, a neuromorphic accelerator designed to deliver 800 giga operations per second at under 300 mW, a power-to-performance ratio that targets constrained embedded environments. Built on GlobalFoundries’ 22FDX platform, the device (product brief linked) operates as a co-processor via PCIe or serial interfaces, integrating with x86, Arm, and RISC-V systems without requiring a full SoC redesign.

Host configurations for the AKD1500 co-processor. Image used courtesy of BrainChip​

​

Its architecture uses BrainChip’s Akida event-based neural model, which enables on-chip learning instead of cloud retraining. That’s particularly relevant for defense, medical sensing, and wearable applications, where low-latency and data privacy are essential. The AKD1500 also ties into BrainChip’s MetaTF toolchain, allowing engineers to port models from TensorFlow/Keras directly into neuromorphic workflows.

This release marks a practical step toward deployable neuromorphic compute, moving adaptive AI closer to the sensor in both industrial and consumer form factors.

(…)

 

[IloveLamp]

💡 The Edge is Exploding: Why Embedded Systems US Matters The rapid-fire pace of new product launches from innovators like BrainChip, 221e, Arduino, AAEON and others isn't just news—it's a signal… | Michael Adeniya

💡 The Edge is Exploding: Why Embedded Systems US Matters The rapid-fire pace of new product launches from innovators like BrainChip, 221e, Arduino, AAEON and others isn't just news—it's a signal. Edge AI is demanding a complete re-architecture of embedded systems. The challenge now is power...

www.linkedin.com

 

[SharesForBrekky]

This South Korean company (AidALL) I came across which will be at the upcoming CES 2026:

CES 2026 | AidALL Inc.

AidALL is a company that develops intelligent robots based on on-device computing and neuromorphic artificial intelligence. We are currently implementing this technology into an intelligent autonomous robot designed to guide the visually impaired.

exhibitors.ces.tech

"AidALL is a company that develops intelligent robots based on on-device computing and neuromorphic artificial intelligence. We are currently implementing this technology into an intelligent autonomous robot designed to guide the visually impaired."

aidall

Seamless Tech, Limitless Access

aidall.ai

aidall

Seamless Tech, Limitless Access

aidall.ai

 

[IloveLamp]

Sign Up | LinkedIn

500 million+ members | Manage your professional identity. Build and engage with your professional network. Access knowledge, insights and opportunities.

www.linkedin.com

https://www.eetimes.com/podcasts/artificial-hearing-from-ear-drums-to-tuning-forks/

 

[Gazzafish]

https://www.kkpcba.com/dielectric-u...e-pcbs-for-aerospace-communication-equipment/

Extract :-“

Dielectric Uniformity and Manufacturing Precision of PTFE PCBs for Aerospace Communication Equipment

November 12, 2025by kkpcb020

1. Engineering Overview

Modern aerospace RF communication equipment, including satellite transceivers and spaceborne antenna modules, demands ultra-low-loss PTFE PCBs with tight dielectric uniformity and precise manufacturing tolerances. Small variations in Dk or CTE can lead to phase drift, impedance mismatch, and degraded link margin in Ku/Ka-band RF payloads.

PTFE PCB laminates, with Dk = 2.1 ± 0.02 and Df = 0.0008 @10GHz, provide consistent dielectric properties under extreme thermal cycling (–55°C to +125°C) and vacuum conditions. KKPCB’s hybrid stackup and controlled lamination ensure high-frequency signal integrity, phase stability, and long-term operational reliability.

 

[Boab]

What’s New at BrainChip

 

[cosors]

In case any of my fellow German speakers would like to check out the (pretty technical) NAOMI4Radar project final reports that the three consortium members - Mercedes-Benz, TWT GmbH Science & Innovation and Uni Lübeck - were obliged to submit due to having received public funding for their project: the “Schlussberichte” have now been uploaded to RENATE (Repositorium für Naturwissenschaften und Technik), which also “serves as the repository for the publication of reports to federally funded research projects”.

While there is both a German and an English version of the accompanying one-page document below, all the final reports are in German only. Each of the three consortium partners submitted an individual report to what was formerly known as Germany’s Federal Ministry for Economic Affairs and Climate Action that had funded 56% of the total 900,000 € project costs (cf. page 15 of https://www.bundeswirtschaftsminist...projektsteckbrief-automatisiertes-fahren.pdf?)

In addition, a more extensive joint report by all three consortium members was also submitted - that’s the one, which I have linked below. Note that while they collaborated with both Intel (who provided the physical Loihi 2 hardware as well as technical support) and Infineon (who provided the front radar and assisted with its integration), those two companies were not consortium members themselves and didn’t receive any of the public funding. Neither was TU München/Munich, whom the consortium also collaborated with.

By the end of their 15 month long project (1 June 2024 - 31 August 2025) titled NAOMI4Radar (Neuromorphic Algorithms for Optimizing Automotive Radar Sensor Processing in Autonomous Vehicles), the researchers had reached TRL* 7 as planned, which is defined as “System prototype demonstration in operational environment”. At the start of the project, their research was considered as being TRL 3.
*TRL = Technology Readiness Level - the highest on the scale is TRL 9.


By the way, Akida gets a mention, too, but not - as one would expect - in the context of the Vision EQXX (page 8):

German original:

“Neuromorphic Computing
Bereits im Konzeptfahrzeug Vision EQXX wurde die Leistungsfähigkeit neuromorpher Ansätze zur Verbesserung der Energieeffizienz demonstriert. Um die Technologie weiterzuentwickeln, arbeitet Mercedes-Benz eng mit Startups, Forschungseinrichtungen und Studierenden zusammen. Dies unterstreicht die Bedeutung von Neuromorphic Computing für das Unternehmen und dessen zukünftige Fahrzeugarchitekturen.”

Translation into English (done by DeepL & refined by Frangipani):

“Neuromorphic computing
The capability of neuromorphic approaches to improve energy efficiency has already been demonstrated in the Vision EQXX concept car. Mercedes-Benz is working closely with start-ups, research institutions and university students to further develop the technology. This emphasises the importance of neuromorphic computing for the company and its future vehicle architectures.”


Instead, BrainChip and Akida get mentioned towards the end (page 35), in a paragraph describing other entities’ progress in this field of research (= radar data processing) that was revealed during the duration of the NAOMI4Radar project.

For the German original, see below.

English translation:
“During the course of the project, it became known that in the US BrainChip Holdings, together with Raytheon, had been awarded a contract for neuromorphic radar processing by the Air Force Research Laboratory. The aim of the project is to implement complex signal processing algorithms, in particular micro-Doppler signature analysis, on neuromorphic hardware. BrainChip's Akida processors offer ultra-low energy consumption and are suitable for high-performance signal processing on energy- and space-constrained platforms such as drones or other mobile systems. The project underlines the growing interest in neuromorphic technology for real-time applications in radar and AI in both the military and commercial sectors.”

NAOMI4Radar - Neuromorphe Algorithmen zur Optimierung der Radar-Sensorik in autonomen Fahrzeugen

Das automatisierte Fahren ist ein für die deutsche Automobilindustrie strategisch wichtiges Innovationsthema. Bei der Entwicklung und dem Einsatz entsprechender Technologien hat die deutsche In-dustrie in den vergangenen Jahren große Fortschritte gemacht. So kommt z.B. die weltweit erste...

oa.tib.eu

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I would say that speaks for itself.
Thanks again for your contribution!

____
"3.4 Presentation of progress in this field at other institutions that became known during the project

During the project, it became known that BrainChip Holdings in the USA, together with Raytheon, had received an order from the Air Force Research Laboratory for neuromorphic radar processing. The aim of the project is to implement complex signal processing algorithms, in particular micro-Doppler signature analysis, on neuromorphic hardware. BrainChip's Akida processors offer ultra-low power consumption and are suitable for high-performance signal processing on energy- and space-constrained platforms such as drones or other mobile systems. The project underscores the growing interest in neuromorphic technology for real-time applications in radar and communications in both the military and commercial sectors."

 

[manny100]

In case any of my fellow German speakers would like to check out the (pretty technical) NAOMI4Radar project final reports that the three consortium members - Mercedes-Benz, TWT GmbH Science & Innovation and Uni Lübeck - were obliged to submit due to having received public funding for their project: the “Schlussberichte” have now been uploaded to RENATE (Repositorium für Naturwissenschaften und Technik), which also “serves as the repository for the publication of reports to federally funded research projects”.

While there is both a German and an English version of the accompanying one-page document below, all the final reports are in German only. Each of the three consortium partners submitted an individual report to what was formerly known as Germany’s Federal Ministry for Economic Affairs and Climate Action that had funded 56% of the total 900,000 € project costs (cf. page 15 of https://www.bundeswirtschaftsminist...projektsteckbrief-automatisiertes-fahren.pdf?)

In addition, a more extensive joint report by all three consortium members was also submitted - that’s the one, which I have linked below. Note that while they collaborated with both Intel (who provided the physical Loihi 2 hardware as well as technical support) and Infineon (who provided the front radar and assisted with its integration), those two companies were not consortium members themselves and didn’t receive any of the public funding. Neither was TU München/Munich, whom the consortium also collaborated with.

By the end of their 15 month long project (1 June 2024 - 31 August 2025) titled NAOMI4Radar (Neuromorphic Algorithms for Optimizing Automotive Radar Sensor Processing in Autonomous Vehicles), the researchers had reached TRL* 7 as planned, which is defined as “System prototype demonstration in operational environment”. At the start of the project, their research was considered as being TRL 3.
*TRL = Technology Readiness Level - the highest on the scale is TRL 9.


By the way, Akida gets a mention, too, but not - as one would expect - in the context of the Vision EQXX (page 8):

German original:

“Neuromorphic Computing
Bereits im Konzeptfahrzeug Vision EQXX wurde die Leistungsfähigkeit neuromorpher Ansätze zur Verbesserung der Energieeffizienz demonstriert. Um die Technologie weiterzuentwickeln, arbeitet Mercedes-Benz eng mit Startups, Forschungseinrichtungen und Studierenden zusammen. Dies unterstreicht die Bedeutung von Neuromorphic Computing für das Unternehmen und dessen zukünftige Fahrzeugarchitekturen.”

Translation into English (done by DeepL & refined by Frangipani):

“Neuromorphic computing
The capability of neuromorphic approaches to improve energy efficiency has already been demonstrated in the Vision EQXX concept car. Mercedes-Benz is working closely with start-ups, research institutions and university students to further develop the technology. This emphasises the importance of neuromorphic computing for the company and its future vehicle architectures.”


Instead, BrainChip and Akida get mentioned towards the end (page 35), in a paragraph describing other entities’ progress in this field of research (= radar data processing) that was revealed during the duration of the NAOMI4Radar project.

For the German original, see below.

English translation:
“During the course of the project, it became known that in the US BrainChip Holdings, together with Raytheon, had been awarded a contract for neuromorphic radar processing by the Air Force Research Laboratory. The aim of the project is to implement complex signal processing algorithms, in particular micro-Doppler signature analysis, on neuromorphic hardware. BrainChip's Akida processors offer ultra-low energy consumption and are suitable for high-performance signal processing on energy- and space-constrained platforms such as drones or other mobile systems. The project underlines the growing interest in neuromorphic technology for real-time applications in radar and AI in both the military and commercial sectors.”

NAOMI4Radar - Neuromorphe Algorithmen zur Optimierung der Radar-Sensorik in autonomen Fahrzeugen

Das automatisierte Fahren ist ein für die deutsche Automobilindustrie strategisch wichtiges Innovationsthema. Bei der Entwicklung und dem Einsatz entsprechender Technologien hat die deutsche In-dustrie in den vergangenen Jahren große Fortschritte gemacht. So kommt z.B. die weltweit erste...

oa.tib.eu

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Its interesting that Sean said in the recent 'promo' interview that traditional radar was not a fit for Drones. Couple that with adaptive on chip learning. That gives us a big opening in that arena.

 

[Pom down under]

GLUSE: Enhanced Channel-Wise Adaptive Gated
Linear Units SE for Onboard Satellite Earth
Observation Image Classification

You need to download the PDF

https://www.researchgate.net/publication/390892866_GLUSE_Enhanced_Channel-Wise_Adaptive_Gated_Linear_Units_SE_for_Onboard_Satellite_Earth_Observation_Image_Classification/fulltext/6801c3c9ded43315572aade4/GLUSE-Enhanced-Channel-Wise-Adaptive-Gated-Linear-Units-SE-for-Onboard-Satellite-Earth-Observation-Image-Classification.pdf?origin=publication_detail&_tp=eyJjb250ZXh0Ijp7ImZpcnN0UGFnZSI6Il9kaXJlY3QiLCJwYWdlIjoicHVibGljYXRpb25Eb3dubG9hZCIsInByZXZpb3VzUGFnZSI6Il9kaXJlY3QifX0

 

[7für7]

Oh… it went 0,8 cents up to18.3 cents…


Shorter:

 

[Pom down under]

Oh… it went 0,8 cents up to18.3 cents…


Shorter:

Must be another pump and dump as I can’t think of any other explanation for such a massive price increase, maybe we might get another speeding ticket.

 

[7für7]

Must be another pump and dump as I can’t think of any other explanation for such a massive price increase, maybe we might get another speeding ticket.

I’m sure something is brewing behind closed doors… this massive buy side in the morning indicates leaked insider knowledge… did NVIDIA invest in Lego to build smart Lego products at the edge using Akida via intel foundry?

 

[White Horse]

For all the whingers on these forums who hold Droneshield up as an example of where or what we should be, check them out this morning.
Love their Directors.

 

[7für7]

For all the whingers on these forums who hold Droneshield up as an example of where or what we should be, check them out this morning.
Love their Directors.

Yeah, that’s exactly what you wrote in the crapper… but when I read it, I kept asking myself: why are we supposed to look at a stock that’s falling right now?

When it was rising, a lot of people made a decent profit from it. So why shouldn’t we compare ourselves with stocks that are going up? Why do we always have to point at the falling share prices of other companies? We’re already deep enough in the red as it is…

Is our ambition now really to justify our pathetic red numbers and talk ourselves into being “fine” with our current share price?
I don’t think so.

 

[Stockbob]

So there’s 3 routes for revenue resulting from this 1500 tapeout

1. The actual 1500 chip sales though may be very small at this stage looking at the number of chips being produced.
2. Customers who wanna verify the 1500 functionality in silicon and tweak the plans for their own chips and get an IP license ( so that’s royalties from 1500 IP)
3. BRN wanna build bespoke modules from these chips and then sell them as complete AI solutions to customers who want that.

Atleast that’s what I gleaned from the recent Sean’s Stocks down under interview.

So 1 & 2 could also apply for the Akida 2 asic tapeout planned for q1 2026.

This just shows how flexible and willing the company is to listen to feedback and give the customers what they want. Perks of being a minnow I guess.

 

[White Horse]

Yeah, that’s exactly what you wrote in the crapper… but when I read it, I kept asking myself: why are we supposed to look at a stock that’s falling right now?

When it was rising, a lot of people made a decent profit from it. So why shouldn’t we compare ourselves with stocks that are going up? Why do we always have to point at the falling share prices of other companies? We’re already deep enough in the red as it is…

Is our ambition now really to justify our pathetic red numbers and talk ourselves into being “fine” with our current share price?
I don’t think so.

So why do you continue to hold BRN.?
Must be some sort of masochist.

 

[TheUnfairAdvantage]

LOTS OF BRAINCHIP SHARES YOU MUST BE PISSED OFF THEN, AS WE SIT AT 0.175.........FAKE NEWS, SO FULL OF SHIT.

Oh Chris. The last time you and I exchanged PMs I think you came of second best. And you now want to take it public! Take a good look at your own post history. You keep changing that date! You’ll get it right eventually. And PS. I haven’t needed to sell any shares to “pay the bills”.

SO FULL OF SHIT! Might want to claim a mulligan on that shot.

Updated my stock disclosure for you Tech!

And on a side note. Not sure why I’d be pissed with the current share price. Been a great trading stock to allow me to pick up more of your shares when you sell them to pay the bills

 

[7für7]

So why do you continue to hold BRN.?
Must be some sort of masochist.

Why is your sentiment on crapper “buy” and insult me by calling me masochist?
Must be a psychopath? Just a simple question