BRN Discussion Ongoing

[Frangipani]

There will be an inaugural EDGE AI FOUNDATION Neuromorphic Livestream on 17 February at 4:30 pm CET (Central European Time):
“Beyond von Neumann Compute: Neuromorphic AI at the Edge”:

As edge AI systems scale, the limitations of traditional von Neumann computing—separate memory and processing, high data movement, and power inefficiency—are becoming increasingly apparent… | EDGE AI FOUNDATION

As edge AI systems scale, the limitations of traditional von Neumann computing—separate memory and processing, high data movement, and power inefficiency—are becoming increasingly apparent. Neuromorphic computing offers a fundamentally different approach, inspired by the structure and operation...

www.linkedin.com

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Looks like the EDGE AI FOUNDATION has shifted next week’s inaugural Neuromorphic Livestream from 17 February (Tuesday) to 18 February 2025 (Wednesday) - same time of the day, though (7.30 am Pacific Time corresponds to 4.30 pm Central European Time).

#edgeai #neuromorphiccomputing #aihardware #tinyml #lowpowerai #edgeaifoundation | EDGE AI FOUNDATION

Beyond von Neumann: Neuromorphic AI at the Edge Traditional computing architectures are hitting their limits at the edge. High data movement. Rising power costs. Inefficiencies that don’t scale. Neuromorphic AI offers a different path—event-driven, brain-inspired, and designed for...

www.linkedin.com

 

[7für7]

This guy continues on his agenda no matter what people tell him who are involved in this project

#spacexinnovation #starlinksecrets #neuromorphicai #orbitalcomputing #satellitetech #aerospacefuture #starlink #spacex #akida | Daniel Azevedo Novais

Unveiling the Relativistic Edge: How SpaceX's Starlink Harnesses Neuromorphic Prediction to Defy Orbital Latency Introduces a profound challenge: the inexorable lag induced by signal propagation times, compounded by the satellites' ceaseless motion. Traditional routing protocols, tethered to...

www.linkedin.com

 

[White Horse]

Bascom Hunter posted about their 3U VPX SNAP (Spiking Neuromorphic Advanced Processor) Card on LinkedIn earlier today.

Unfortunately they don’t mention the product’s “five BrainChip AKD1000 spiking neuromorphic processors” in their post (although they do link to https://bascomhunter.com/deg/digita...c-processors/asic-solutions/3u-vpx-snap-card/, where this is explicitly stated), and the image is (deliberately?) blurry where we know these five processors are…

#aiattheedge #isr #electronicwarfare #autonomy #defensesystems #swapc #operationaladvantage #bascomhunter #afawarfare #afawarfare2026 | Bascom Hunter

On airborne and forward-deployed systems, we don’t have the luxury of cloud connectivity or unlimited watts. Every processor has to earn its keep. What matters is the ability to run multiple mission functions at the same time—ATR, threat detection, signals analysis, sensor fusion—without blowing...

www.linkedin.com

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Hi Frangi,
I wouldn't worry to much about a low res pic on Linkedin.
Their web site has been upgraded in the last few weeks.
And we are still there, large as life.

 

[White Horse]

Hi Flenton,

I assume you actually meant to reply to my preceding post, the one about the guy from Brazil, whose texts and images are so obviously AI-generated?

That alone should be a HUGE red flag to any reader, given the frequent occurrence of hallucinations in such Generative AI outputs - a danger, which has been addressed on this forum multiple times. And the more of these texts and images get generated, the more those hallucinations will spread, as they will in turn feed newly generated texts and images…

Plus, I noticed that quite a few of those who upvoted those fictitious and misleading posts about an alleged SpaceX/Starlink and Akida/GR801 connection were not exactly BRN shareholders that you would associate with the proverb “A drowning man will clutch at a straw”. Maybe it is a consolation to some of them that they are in fact “in good company”: Even some well-known researchers who have first-hand experience with Akida either fell for the fake news or “liked” one of those posts after only glancing over it (I’d say the latter explains the of at least one BrainChip and two Frontgrade Gaisler employees that I spotted).

However, I honestly can’t get my head around why any BRN shareholder who regularly likes BrainChip LinkedIn posts as well as those by our company’s partner Frontgrade Gaisler would even think it possible that GR801 - a future product which is still clearly marked as “under development” on Frontgrade Gaisler’s website, a space-grade SoC that is verifiably not yet taped out - could already have long been in the hands of SpaceX engineers?!

Frontgrade Gaisler on 4 February 2026:
“We plan to tape out the GR765 and GR801 products in the first half of 2026 […]. Early prototypes are expected at the end of this year. And together with these prototypes, we expect to have evaluation and development boards ready at the same time for early adopters.”

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-480760

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https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-481900

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Although Kenneth Östberg unmistakably told Daniel Azevedo Novais to stop posting AI-generated images of GR801 “with no truth in them” without clearly stating they are not real, he (or a bot pretending to be a human?) continues to do so…

#spacex #xai #aispatial #climatemodeling #scientificresearch #starlink #ipcc | Daniel Azevedo Novais

SpaceX–xAI Merger Accelerates Orbital AI Research for Climate Modeling and Scientific Data Analysis Starlink constellation accelerates AI deployment in space by orders of magnitude of integration of xAI's advanced AI frameworks, including the Grok series of large language models, with SpaceX's...

www.linkedin.com

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All these misleading images should be clearly marked as AI-generated and fictitious.

“Alternative facts” are not helpful when we want to see a sustainable share price rise.

I have just reported this clown for misinformation.
I suggest others with a Linkedin a/c do the same.

 

[Jacob Kiraz]

Whats the difference between 3 years ago when people were saying where goimg to the moon,
Our company was nothing back then.
Look at us now on how far we have developed and how many varieties of avenues of potential income with the array of products availiable.
Why did people believe then but not now,
Look at the prices? Do yourself a favour

 

[manny100]

Bascom Hunter posted about their 3U VPX SNAP (Spiking Neuromorphic Advanced Processor) Card on LinkedIn earlier today.

Unfortunately they don’t mention the product’s “five BrainChip AKD1000 spiking neuromorphic processors” in their post (although they do link to https://bascomhunter.com/deg/digita...c-processors/asic-solutions/3u-vpx-snap-card/, where this is explicitly stated), and the image is (deliberately?) blurry where we know these five processors are…

#aiattheedge #isr #electronicwarfare #autonomy #defensesystems #swapc #operationaladvantage #bascomhunter #afawarfare #afawarfare2026 | Bascom Hunter

On airborne and forward-deployed systems, we don’t have the luxury of cloud connectivity or unlimited watts. Every processor has to earn its keep. What matters is the ability to run multiple mission functions at the same time—ATR, threat detection, signals analysis, sensor fusion—without blowing...

www.linkedin.com

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It appears the Bascom Hunter 3U VPX is commercialiy available. They have a Product Brochure.
The question is what did they have planned for the $100k worth of 1500 chips in Dec'24.
Radar? or something else?

 

[7für7]

Whats the difference between 3 years ago when people were saying where goimg to the moon,
Our company was nothing back then.
Look at us now on how far we have developed and how many varieties of avenues of potential income with the array of products availiable.
Why did people believe then but not now,
Look at the prices? Do yourself a favour

The difference with the “moon” statement is..we all knew back then ..this was just wishful thinking. It’s totally fine to have visions and debate what could be possible with the tech. People say “Terminator is coming” all the time… that doesn’t mean it will become real.

But what this guy is doing is different: he presents his claims as if they were real, uses real product/company names, and even fake images. That can easily be misleading … especially for new investors … and could make them think “BrainChip is a scam.”

Just my opinion — DYOR.

 

[Diogenese]

It appears the Bascom Hunter 3U VPX is commercialiy available. They have a Product Brochure.
The question is what did they have planned for the $100k worth of 1500 chips in Dec'24.
Radar? or something else?

Hi Manny,

Only tangential to BH, but with the RTX microDoppler radar, the first requirement is a radar receiver sensitive to detect the small frequency variations (Doppler effect) in the reflected signal caused by the vibrations of the target object. So clearly RTX have such a radar TX/RX.

Then there is a need for a model/database correlating the frequency modulations with corresponding objects. Again, this must be developed from the received sensor signals, so RTX must have this.

Akida's role is to provide real time analysis/inference/classification of received signals.

The thing is that the Doppler signals in the model and in the reflected radar pulse contain additional information, which means that the Akida processor needs to be able to process the additional information. Akida 1 has 4-bit processing, while Akida 2 has 8-bit processing, so Akida 2 would be more suited to microDoppler than Akida 1.

Which brings us to the MegaChips/Acumino robot radar. For radar to be useful in a domestic robot, then, apart from basic navigation, it would be beneficial to have radar which could recognize items*. If, as we all would like to believe, this partnership incorporates the Megachips/Akida licence, it would be sensible for this project to incorporate Akida 2 (or higher). This would tally with the imminent production of Akida 2 ASIC.

* Radar is colour blind, so for some tasks, a RGB camera would be useful.

 

[Diogenese]

Hi Manny,

Only tangential to BH, but with the RTX microDoppler radar, the first requirement is a radar receiver sensitive to detect the small frequency variations (Doppler effect) in the reflected signal caused by the vibrations of the target object. So clearly RTX have such a radar TX/RX.

Then there is a need for a model/database correlating the frequency modulations with corresponding objects. Again, this must be developed from the received sensor signals, so RTX must have this.

Akida's role is to provide real time analysis/inference/classification of received signals.

The thing is that the Doppler signals in the model and in the reflected radar pulse contain additional information, which means that the Akida processor needs to be able to process the additional information. Akida 1 has 4-bit processing, while Akida 2 has 8-bit processing, so Akida 2 would be more suited to microDoppler than Akida 1.

Which brings us to the MegaChips/Acumino robot radar. For radar to be useful in a domestic robot, then, apart from basic navigation, it would be beneficial to have radar which could recognize items*. If, as we all would like to believe, this partnership incorporates the Megachips/Akida licence, it would be sensible for this project to incorporate Akida 2 (or higher). This would tally with the imminent production of Akida 2 ASIC.

* Radar is colour blind, so for some tasks, a RGB camera would be useful.

Thinking a bit more about it, the see-in-the-dark radar application does not use Doppler modulation, because not everything vibrates.

So it is just the high precision radar TX/RX and a high definition object model that are needed, ie, the radar RX provides high precision information from the reflected signal, but does not need to demodulate the Doppler information and is independent of whether or not the reflected signal includes Doppler modulation. Akida's ultra low latency enables this information to be processed for inference/classification. With hindsight, I guess that any Doppler information present can be processed in the same manner. If this is correct, there would be no need for a separate Doppler frequency demodulation step.

 

[7für7]

Off topic lol but FF is jealous because rayz got more than 70 likes haha

 

[Diogenese]

Thinking a bit more about it, the see-in-the-dark radar application does not use Doppler modulation, because not everything vibrates.

So it is just the high precision radar TX/RX and a high definition object model that are needed, ie, the radar RX provides high precision information from the reflected signal, but does not need to demodulate the Doppler information and is independent of whether or not the reflected signal includes Doppler modulation. Akida's ultra low latency enables this information to be processed for inference/classification. With hindsight, I guess that any Doppler information present can be processed in the same manner. If this is correct, there would be no need for a separate Doppler frequency demodulation step.

Akida 3's new solid state interconnection mesh (replacing packet switched) will have even lower latency and lower power usage, as well as higher precision.

 

[Diogenese]

Akida 3's new solid state interconnection mesh (replacing packet switched) will have even lower latency and lower power usage, as well as higher precision.

I'd like to see BRM Marketing produce an inclusive product brochure with a table which explains the relative advantages of each chip/IP in our product portfolio, and also the future capabilities of the designs in the pipeline:

Akida 1 - Low latency, low power, 1 to 4 bit precision, applications, $ range, ...

Akida 1500 - Low latency, low power, 1 to 4 bit precision, applications, $ range, ...

Pico - ultralow power, applications, $range, ...

Akida 2 - Low latency, low power, 1 to bit precision, applications, $ range, ...

Akida 3 (in progress) - TENNS, Ultra-low latency, ultra-low power, 16-bit/FP32 bit precision, applications, $ range ...

Gen AI (in progress) - TENNs SLM, RAG, applications, S range ...

Maybe some comparative performance graphs?

Something to show customers and potential investors at a glance both the current capabilities and future potential.

 

[Stable Genius]

Thinking a bit more about it, the see-in-the-dark radar application does not use Doppler modulation, because not everything vibrates.

So it is just the high precision radar TX/RX and a high definition object model that are needed, ie, the radar RX provides high precision information from the reflected signal, but does not need to demodulate the Doppler information and is independent of whether or not the reflected signal includes Doppler modulation. Akida's ultra low latency enables this information to be processed for inference/classification. With hindsight, I guess that any Doppler information present can be processed in the same manner. If this is correct, there would be no need for a separate Doppler frequency demodulation step.

Glad you corrected yourself Dio; cause that was my thoughts too

 

[smoothsailing18]

I'd like to see BRM Marketing produce an inclusive product brochure with a table which explains the relative advantages of each chip/IP in our product portfolio, and also the future capabilities of the designs in the pipeline:

Akida 1 - Low latency, low power, 1 to 4 bit precision, applications, $ range, ...

Akida 1500 - Low latency, low power, 1 to 4 bit precision, applications, $ range, ...

Pico - ultralow power, applications, $range, ...

Akida 2 - Low latency, low power, 1 to bit precision, applications, $ range, ...

Akida 3 (in progress) - TENNS, Ultra-low latency, ultra-low power, 16-bit/FP32 bit precision, applications, $ range ...

Gen AI (in progress) - TENNs SLM, RAG, applications, S range ...

Maybe some comparative performance graphs?

Something to show customers and potential investors at a glance both the current capabilities and future potential.

I hope you don't mind , I forwarded this to IR

 

[Jacob Kiraz]

Any hint on the Watch us Now statement was abour

 

[manny100]

From FF on crapper, Re: Frontgrade GR801
PRESENT-9-BrainChip_Feb5th.pdf

 

[Pom down under]

?

Neuromorphic Computing Market Set for Explosive Growth to US$ 6,801.9 Million by 2030, Led by North America's 35.6% Market Share | Key Players - Intel Corporation, IBM Corporation, Qualcomm Technologies, Inc.

The Global Neuromorphic Computing Market reached USD 48 3 million in 2022 and is projected to witness lucrative growth by reaching up to USD 6 801 9 million by 2030 exhibiting a CAGR of 91 5 during the forecast period ...

www.openpr.com

November 2025: Sony Semiconductor Solutions released an upgraded Akida neuromorphic processor via collaboration with BrainChip, optimized for event-based vision in autonomous vehicles and robotics. This R&D advancement supports asynchronous processing for 50% latency reduction in dynamic scenes, aligning with Japan's mobility initiatives.

 

[jrp173]

?

Neuromorphic Computing Market Set for Explosive Growth to US$ 6,801.9 Million by 2030, Led by North America's 35.6% Market Share | Key Players - Intel Corporation, IBM Corporation, Qualcomm Technologies, Inc.

The Global Neuromorphic Computing Market reached USD 48 3 million in 2022 and is projected to witness lucrative growth by reaching up to USD 6 801 9 million by 2030 exhibiting a CAGR of 91 5 during the forecast period ...

www.openpr.com

November 2025: Sony Semiconductor Solutions released an upgraded Akida neuromorphic processor via collaboration with BrainChip, optimized for event-based vision in autonomous vehicles and robotics. This R&D advancement supports asynchronous processing for 50% latency reduction in dynamic scenes, aligning with Japan's mobility initiatives.

You are seriously asking TSE posters what they think about this BS??

Why don't you email the author and ask him where he got his bullshit from, instead of posting unsubstantiated nonsense on here.

You could you saved us from this crap....

Seriously a website called "Open PR"....



Here's his details.

Contact Us -

Company Name: DataM Intelligence
Contact Person: Sai Kiran
Email: Sai.k@datamintelligence.com
Phone: +1 877 441 4866
Website: https://www.datamintelligence.com

 

[manny100]

I asked 'chat' to run a table showing possible revenue from different types of Neuromorphic Edge uses. Pretty much what is expected but good to see in a table.
Defense is the start but the endgame.

"Here’s a clear table showing the revenue potential of each market."

Revenue Potential Comparison​

Market	Volume	Price per Chip	Revenue Potential	Notes
Defense (radar, EW, ISR, drones)	Low–medium	High margin	Millions	Long sales cycles, small batches, but stable
Defense wearables (soldier systems)	Medium	Medium	Tens of millions	Growing interest in all‑weather navigation aids
Industrial robotics	Medium–high	Medium	Hundreds of millions	Warehouses, mining, logistics, agriculture
Consumer robotics	Very high	Low–medium	Billions	Home robots, drones, personal assistants
Assistive devices (vision‑impaired)	Medium	Medium	Hundreds of millions	Strong social impact, regulatory hurdles
Smartphones / AR glasses	Extremely high	Low	Billions+	If radar‑AI becomes a standard sensor
Automotive (ADAS, autonomous)	Extremely high	Medium	Billions+	Radar + neuromorphic AI is a perfect fit

 

[Rach2512]

ARQUIMEA

#drone #effectiveness #autonomy #precision #arquimea #wds #worlddefenseshow #qslam40 #loiteringdrone #loiteringsystem | ARQUIMEA Space, Science and Defense

📢 𝗗𝗮𝘆 𝟰 𝗮𝘁 World Defense Show As we approach the end of World Defense Show, we continue to highlight the latest upgrades to our Q-SLAM-40 loitering #drone, designed to meet the growing demands of today’s operational environments. 🔹 Next-generation AI for improved target tracking and reduced...

www.linkedin.com