BRN Discussion Ongoing

[7für7]

Do not like saying this about people, but this 7fur7 is a complete MORON,
he just keeps on and on about nothing, I just wish like a lot of other people on
this forum that he would just disappear. It would make reading on this forum
a lot more enjoyable for a lot of people on this forum.

I couldn’t care less what you think about me. Some of you seem to have nothing better to do than throw insults around. Funny how people only show up when I disagree with one of your so-called forum gurus – but when I post something positive or share news, nobody cares.

Either way, my positive view on the company doesn’t change, and your insults have zero impact on my investment.

And if anyone feels the need to complain about me responding to posters who insult me, that’s their problem, not mine.

 

[Pom down under]

4-31 in reply atm

We always struggle to bowl out your tail enders, but looking promising

 

[FJ-215]

We always struggle to bowl out your tail enders, but looking promising

Nathan Lyon is our rock!!!!

Might need him to open the batting when he retires from bowling.

 

[DK6161]

Michael Dell the CEO of Dell says that by 2025 75% of all connected devices will be at the edge, currently around 10% only is at the edge and let’s face it, it’s not the “far edge”
So I’m predicting $10 by 2025 Christmas at the very least.

 

[DK6161]

Next Thursday after close and prior to the opening on Friday, will we have been removed for the ASX200.
Will institutions sell out or will they hold, or will the shorts once again take command of our stock and force us south to 49c?

Makes no difference to me, by January 2025 if we aren't sitting very stable between $2 and $3, I'd be rather disappointed, there you
go, I've shown you my hand, care to bet against me.

By the way, in late February 2023 the "Annual Report" will be on our doorstep, NOT the half-yearly as someone posted earlier in the day.
We close out like a lot of companies on 31 December annually, get with it!

My monies on Prophesee to deliver our first real revenue, happy to be totally wrong.

If you wish to read a fantastic book that Peter mentioned to me recently, that he had read and was starting to read it for a second time,
well, this is it.

"CULTURE WON" The story of ARM Holdings Ltd.

I'm only just finishing the 1st Chapter, but there are already similarities between ARMs early days and ours, if the founder recommends it,
I'd read it, it will give you much more of an understanding of where we as a company are attempting to travel moving forward.

All of the above is based on fact and my own opinion, too blurry, I don't think so

Love Brainchip.......Tech x

 

[Frangipani]

As expected (and predicted), Markus Schäfer has posted one more time about neuromorphic computing in the context of the NAOMI4Radar project before stepping down as the Mercedes-Benz CTO at the end of this month:

If you’ve followed my updates, you’ll know I’ve shared insights into NAOMI4Radar before – and today, I’m excited to round off the story with our latest results. In the recently concluded public… | Markus Schäfer

If you’ve followed my updates, you’ll know I’ve shared insights into NAOMI4Radar before – and today, I’m excited to round off the story with our latest results. In the recently concluded public research project NAOMI4Radar, our colleagues in Future Software & AI at Mercedes-Benz AG joined...

www.linkedin.com

 

[IloveLamp]

🚀 Looking for a Contract Technical Recruiter (3–4 Months) 🚀 Hi LinkedIn network! I'm looking to connect with contract technical recruiters for a 3–6 month engagement supporting technical hiring… | Katie Quiroz, SPHR

🚀 Looking for a Contract Technical Recruiter (3–4 Months) 🚀 Hi LinkedIn network! I'm looking to connect with contract technical recruiters for a 3–6 month engagement supporting technical hiring efforts here in Laguna Hills, CA. We’re driving cutting-edge innovation in the Edge AI space at...

www.linkedin.com

 

[7für7]

As expected (and predicted), Markus Schäfer has posted one more time about neuromorphic computing in the context of the NAOMI4Radar project before stepping down as the Mercedes-Benz CTO at the end of this month:

If you’ve followed my updates, you’ll know I’ve shared insights into NAOMI4Radar before – and today, I’m excited to round off the story with our latest results. In the recently concluded public… | Markus Schäfer

If you’ve followed my updates, you’ll know I’ve shared insights into NAOMI4Radar before – and today, I’m excited to round off the story with our latest results. In the recently concluded public research project NAOMI4Radar, our colleagues in Future Software & AI at Mercedes-Benz AG joined...

www.linkedin.com

Are we involved in NAOMI4 radar ? Because I was reading an article that they have lohi on board?

Mercedes taps Intel Loihi2 for neuromorphic AI

Mercedes is using the Intel Liohi 2 for neuromorphic computing to improve the performance of forward-facing automotive radar systems.

www.eenewseurope.com

 

[SharesForBrekky]

Interesting article on Musk's views of what the World could be like in 10-20 years time:

Elon Musk says that in 10 to 20 years, work will be optional and money will be irrelevant thanks to AI and robotics | Fortune

“It’ll be like playing sports or a video game or something like that,” the Tesla CEO said.

fortune.com

 

[manny100]

For those who are wondering why it takes so long to go from engagement to market see the Onsor Nexa timetable below. Its 5 years for life changing wearables and it would be longer for life saving wearables, eg Heart issue warnings.
We know there were a number of partners using AKIDA from 2020 onwards so these should be bearing fruit in the next year or so.
NEXA | Onsor
The time table shows just how long the adoption timetable really is - its proof.
It's frustrating but unfortunately there are no shortcuts. We also know that Parsons, RTX and Bascom Hunter are on the way.
Nexa smart glasses timetable (Progress Path & Future Outlook):

Year	Phase	Milestones
2021	Phase 1.0	Research collaboration with Sultan Qaboos University (SQU) and Intel Neuromorphic Research Community (INRC).
2022	Phase 2.0	Identification of potential applications; discovery of epilepsy prediction as the primary application, marking the official start of the project.
2023	Phase 3.0	Preliminary research results emerge.
	Phase 3.5	Preparation of documentation for patent application.
2024	Phase 4.0	Development of the initial product and creation of an integrated solution.
	Phase 4.5	Establishment of strategic partnerships; submission of patent application and initiation of examination process.
2025	Phase 5.0	Patent approval and publication of the scientific paper.
	Phase 5.5	Commencement of clinical trials; development of a supportive chip for neural computing technology; ongoing improvements and development.
2026	Phase 7.0	Final product launch of Nexa smart glasses.

 

[manny100]

As expected (and predicted), Markus Schäfer has posted one more time about neuromorphic computing in the context of the NAOMI4Radar project before stepping down as the Mercedes-Benz CTO at the end of this month:

If you’ve followed my updates, you’ll know I’ve shared insights into NAOMI4Radar before – and today, I’m excited to round off the story with our latest results. In the recently concluded public… | Markus Schäfer

If you’ve followed my updates, you’ll know I’ve shared insights into NAOMI4Radar before – and today, I’m excited to round off the story with our latest results. In the recently concluded public research project NAOMI4Radar, our colleagues in Future Software & AI at Mercedes-Benz AG joined...

www.linkedin.com

Neuromorphic systems are definitely superior to traditional which have built in fail safe stop systems and fall back modes for internet outages and slow downs.

 

[Tony Coles]

Are we involved in NAOMI4 radar ? Because I was reading an article that they have lohi on board?

Mercedes taps Intel Loihi2 for neuromorphic AI

Mercedes is using the Intel Liohi 2 for neuromorphic computing to improve the performance of forward-facing automotive radar systems.

www.eenewseurope.com

Far out man! Intel Loihi 2

 

[manny100]

Far out man! Intel Loihi 2

Onsor actually started in 2021 with the Intel Research Community but gave them the 'flick' for AKIDA.
Mercedes may have done the same as Loihi is not a commercially available product.

 

[Fiendish]

Far out man! Intel Loihi 2

Mercedes-Benz is utilizing multiple neuromorphic processors across its research and development efforts for autonomous driving, energy-efficient AI, and sensor processing, with no single one deployed universally in production vehicles as of late 2025. The most prominent examples include:
Intel Loihi 2: This is actively used in the Naomi4Radar project, a German government-funded initiative led by Mercedes to optimize radar data processing for automated driving systems. It enables faster, event-driven responses in forward-facing radar, potentially reducing energy use by up to 90% compared to conventional systems. This collaboration builds on broader neuromorphic research with Intel.
BrainChip Akida: Integrated into the Vision EQXX concept vehicle (showcased in 2022) for in-cabin keyword spotting (e.g., "Hey Mercedes" wake word detection), where it delivers 5–10x greater efficiency than traditional AI methods. While primarily a concept demonstrator, BrainChip's technology is positioned for broader automotive scaling, including potential production use in edge AI for sensors and ADAS.
Mercedes is also exploring neuromorphic cameras and end-to-end AI learning through partnerships like the University of Waterloo, but specific processors beyond Loihi 2 and Akida remain in early research stages. These efforts aim to enhance safety, visibility in poor conditions, and overall vehicle efficiency.

 

[TheDon]

For those who are wondering why it takes so long to go from engagement to market see the Onsor Nexa timetable below. Its 5 years for life changing wearables and it would be longer for life saving wearables, eg Heart issue warnings.
We know there were a number of partners using AKIDA from 2020 onwards so these should be bearing fruit in the next year or so.
NEXA | Onsor
The time table shows just how long the adoption timetable really is - its proof.
It's frustrating but unfortunately there are no shortcuts. We also know that Parsons, RTX and Bascom Hunter are on the way.
Nexa smart glasses timetable (Progress Path & Future Outlook):

Year	Phase	Milestones
2021	Phase 1.0	Research collaboration with Sultan Qaboos University (SQU) and Intel Neuromorphic Research Community (INRC).
2022	Phase 2.0	Identification of potential applications; discovery of epilepsy prediction as the primary application, marking the official start of the project.
2023	Phase 3.0	Preliminary research results emerge.
	Phase 3.5	Preparation of documentation for patent application.
2024	Phase 4.0	Development of the initial product and creation of an integrated solution.
	Phase 4.5	Establishment of strategic partnerships; submission of patent application and initiation of examination process.
2025	Phase 5.0	Patent approval and publication of the scientific paper.
	Phase 5.5	Commencement of clinical trials; development of a supportive chip for neural computing technology; ongoing improvements and development.
2026	Phase 7.0	Final product launch of Nexa smart glasses.

And that is why I believe in Sean's 5-year plan: it will succeed, and with patience, SH will be very happy next year or by the end of this year.

My opinion only.

TheDon

 

[Rskiff]

A good run down of where AI and the chips are going including on the edge.

 

[manny100]

I pointed out in my earlier post that Onsor demonstrates the lengthy adoption style and this is outlined on the Onsor website.
No doubt its been frustrating for all holders but unfortunately there are no shortcuts.

https://www.aicd.com.au/content/dam/aicd/pdf/tools-resources/director-tools/individual/director-tool-general-duties-of-directors.pdf

Directors.
"In practical terms, acting in a responsible and ethical manner towards stakeholders (such as customers, employees, community and the environment) is necessary for the promotion of the interests of the company and its sustainability, and builds long-term value for shareholders.
Of course, this does not mean that all stakeholders will be satisfied with every decision taken, given stakeholder interests will be diverse."
My bold above.
The BOD have to prioritise long term value for holders over short term value - its the horse we are riding..
As the timeframes to revenue are lengthy (we are closing in on the future though) the BOD has had to remain firmly focused on the long term. This the reason for LDA cap raisings - the alternative is and was going broke.
Another aspect is that case law is very firm that Directors fiduciary duty is the entity and not individual holders.
The cornerstone case was Percival v Wright (1902) - UK but applies here as much as it did in 1902.
Briefly a group of individual holders of Nixon’s Navigation Co. approached the Directors to buy their shares. The directors after negotiations purchased the shares. Unbeknown to the holders during negotiations the Directors were also negotiating sell the entire company to a third party (Holden) which would have substantially increased the share value - the negotiations subsequently fell through though.
The shareholders later sued alleging nondisclosure of the negotiations.
The shareholder's lost their case on the basis that Directors duties are to the entity and not individual holders.
The case pretty much lets holders know where they stand - its basically 'like it or lump it' when it comes to the BOD setting a course for the business.

law case Pecival V Wright 1902 - Bing

Intelligent search from Bing makes it easier to quickly find what you’re looking for and rewards you.

www.bing.com

 

[Rach2512]

#ai #edge #technology #marketresearch | Melvin Sörum | 19 comments

We just released a 90-page report covering the on-device AI market. 🧠 On-device AI is sometimes overshadowed by the hype surrounding cloud-based generative AI. However, on-device AI has quietly been transforming applications for over a decade, particularly those requiring real-time...

www.linkedin.com

 

[Pom down under]

As expected (and predicted), Markus Schäfer has posted one more time about neuromorphic computing in the context of the NAOMI4Radar project before stepping down as the Mercedes-Benz CTO at the end of this month:

If you’ve followed my updates, you’ll know I’ve shared insights into NAOMI4Radar before – and today, I’m excited to round off the story with our latest results. In the recently concluded public… | Markus Schäfer

If you’ve followed my updates, you’ll know I’ve shared insights into NAOMI4Radar before – and today, I’m excited to round off the story with our latest results. In the recently concluded public research project NAOMI4Radar, our colleagues in Future Software & AI at Mercedes-Benz AG joined...

www.linkedin.com

Isn’t this on loihi2?

https://twt-innovation.de/en/2024/10/14/naomi4radar-mehr-energieeffizienz-und-sicherheit-fuer-autonomes-fahren-durch-neuromorphic-computing/

 

[Fiendish]

Would it be possible for car manufacturers to use both akida and loihi in a single vehicle?

Yes, it's not only possible but increasingly likely for a car manufacturer like Mercedes-Benz to integrate both the BrainChip Akida and Intel Loihi 2 neuromorphic processors into a single production vehicle, particularly for specialized edge AI tasks in advanced driver-assistance systems (ADAS), autonomous driving, and in-cabin monitoring.

This approach aligns with the automotive industry's trend toward heterogeneous computing architectures, where multiple specialized chips handle distinct workloads to optimize for power efficiency, latency, and performance—much like how modern vehicles already combine NVIDIA GPUs for high-level perception, Qualcomm SoCs for infotainment, and dedicated MCUs for sensors.

Why This Makes Sense for Different Purposes

Mercedes has demonstrated active use of both chips in separate projects, with complementary strengths that lend themselves to modular deployment:
Akida for Ultra-Low-Power In-Cabin and Edge Inference: Deployed in the 2022 Vision EQXX concept vehicle, the Akida processor excels at always-on, battery-sensitive tasks like keyword spotting ("Hey Mercedes"), voice authentication, and contextual in-cabin monitoring. It achieves 5–10x energy efficiency over traditional AI by processing spiking neural networks (SNNs) at microwatt-to-milliwatt levels, ideal for non-safety-critical, continuous operations that don't drain EV range. BrainChip positions Akida for broader sensor-edge integration, such as with partners like Prophesee for event-based vision.
Loihi 2 for Radar and Real-Time Safety

Processing: Integrated into the ongoing Naomi4Radar project (a German-funded initiative announced in 2024), Loihi 2 focuses on event-driven radar data optimization for forward-facing sensors in ADAS. It enables up to 90% energy reduction and microsecond-latency responses for detecting objects in poor visibility, mimicking brain-like spiking for faster, more adaptive autonomous driving decisions. This is geared toward safety-critical, high-reliability tasks requiring on-chip learning.

These aren't mutually exclusive; Mercedes' research collaborations (e.g., with Intel and the University of Waterloo) emphasize neuromorphic computing's scalability across vehicle subsystems. In a full vehicle stack:
Akida could handle distributed, low-power nodes near microphones and interior cameras.

Loihi 2 could sit closer to radar/LiDAR fusion modules for external perception.
Evidence from Industry Trends
Heterogeneous Integration in AVs: Autonomous vehicles routinely use multi-chip setups today—e.g., NVIDIA's DRIVE platforms combine Orin SoCs with dedicated accelerators for redundancy and specialization. Neuromorphic chips fit this model, with projections for the neuromorphic AV market reaching $59 billion by 2034 (20.7% CAGR), driven by sensor fusion and edge processing. Research from Infosys and IBM highlights neuromorphic modules embedded directly in sensors (e.g., one chip per radar unit), enabling parallel use without central bottlenecks.

Mercedes' Multi-Partner Approach: As of late 2025, Mercedes continues exploring Akida for voice/sensor AI while advancing Loihi in radar R&D, with no reported conflicts. Broader partnerships (e.g., BrainChip with Renesas/Valeo for automotive IP, Intel's Hala Point scaling Loihi) suggest OEMs like Mercedes will mix vendors to avoid single-supplier risks.

Precedents and Future Outlook: While no public confirmation exists for both in one Mercedes vehicle yet (the EQXX remains a concept), 2025 reports from AI News Hub and Global Market Insights note accelerating commercialization, with OEMs like Renault/Bosch adopting multiple neuromorphic types for fleet adaptability. By 2026–2027, as Level 3+ autonomy rolls out in Mercedes' EQS/EQV lines, combined deployment could become standard for 90%+ efficiency gains in data processing.

Challenges like software standardization (e.g., MetaTF for Akida vs. Lava for Loihi) and ASIL safety certification remain, but Mercedes' CTO has publicly endorsed neuromorphic for "breaking new ground" in architectures. If energy and latency demands intensify with EV adoption, this dual-chip strategy could extend range by 10–20% while enhancing safety.