BRN Discussion Ongoing

[HopalongPetrovski]

Evening FJ~215 ,

Don't suppose amoungsts his remaining 14 skills he possesses the art of pulling a Haire out of his arse.

Mergers are fine ... when the terms are equitable to ALL, and the underlying company is powering.

Often find on such occasions the manigement suite somehow have all their RSU's & Options fully granted on such events , Obviously at yet a further cost , dilution to shareholders.

Personaly be happier if this gentlman simply left the Co , as its obviouse 100% of his time is not spent furthering our endeavours, 30% if that, .....Three board positions.

* the missing 10% in the equation is clearly spent figuring out what he's worth.

, truely have to sometimes.

All good .

Regards,
Esq

Happy to agreeably disagree with you on this Eski.

I think Antonio is exactly the sort of smooth talkin', connected and "known in the right places" kind of guy with just the skill set we require and I also think he admirably compliments Sean's weakness's most exemplified by his often abominable presentation skills.

I certainly take on an argument about results achieved so far and am somewhat disgruntled that the executive remuneration hasn't been more closely aligned with the share holder's main barometer of success.

It feels somewhat as if we have been stringed along paying them all very handsomely for results we "thought" where just around the corner, and maybe they truly believed that at the time?

But this recent talk of a possible nearish future redomicile has really put the cat amongst the pigeons and their somewhat ham fisted way of trying to jam this particular Genie back in her bottle has misfired.

I've been "in" for coming up to ten years now and after piling all that wood on the fire am getting antsy for a glow.

Not exactly spewen' at this stage and know I can pull that trigger most weekdays 10-4pm but frankly, I'm not gonna wait another ten years getting diluted and probably consolidated out of existence.

We've been shown the technical roadmap.
Time to see some idea of the commercial strategy.
I personally, am not keen on providing funds for just more of the same, hoping it's gonna work at some point in time.
In my view we are paying them handsomely enough for more than just, more of the same.

 

[Pom down under]

View attachment 86364
Looks like these guys won't be spending much time entertaining any of us. Lets hope they secure a massive whale that will drive the SP up.

Nearly 1/2 way through the year and still sweet FA in regards to any revenue, with the last $$ announcement being back on the 16th December. I wonder how many shareholders have passed away while invested in BRN as statically I’d thought maybe a few

 

[TheDrooben]

Spectrum and Innatera appear to have a little dig at Pico and also they're hooking up with Socionext, one of our earlier partners (Synquacer?) that appears to have not done much so far other than the first chips

Innatera's Pulsar Chip Could Be a Game-Changer for Ultra-Low-Power AI Sensors

Innatera's Pulsar chip, the first commercial neuromorphic microcontroller, promises ultra-low power AI with 100x lower latency.

spectrum.ieee.org

Spiking Neural Network Chip for Smarter Sensors

Innatera’s chip promises lower latency and power consumption for edge AI​

Charles Q. Choi
14 hours ago
4 min read

Excerpt:

What Makes Pulsar Unique in AI Sensors?​

What sets Pulsar apart from other neuromorphic devices, such as BrainChip’s Akida Pico, “is not just building a neuromorphic core, but also the rest of the system around it,” Kumar says. “In the industry, there’s a lot of emphasis on inference, but when their neuromorphic cores speak with the rest of their systems, you see them burning power moving data in and out, and all the energy gains they can bring to the table quickly become irrelevant. We built Pulsar as an engine for efficient processing, not just efficient inference.”

By integrating all these functions together, “it’s the only chip a sensor needs to process data,” Kumar says. This can simplify overall device design, which can reduce the need for complex data signal-processing pipelines, speed up development and time to market, lower maintenance costs, extend battery life and enable submillisecond analysis times.

With submilliwatt power consumption, “Pulsar enables always-on processing of sensor data, even in devices radically constrained by power,” Kumar says. For example, it can enable radar-based presence detection with as little as 600 microwatts and audio scene classification with just 400 µW. In comparison, similar applications using conventional electronics consume 10 to 100 milliwatts, he notes.

Excerpt:

Innatera is partnering with the Japanese system-on-a-chip company Socionext to develop a radar-based sensor that can accurately detect people even if they are standing perfectly still, based on their body motions as they breathe. “It can ignore things like bushes moving in the wind,” Kumar says. “It can extend smart doorbell operations to 18 months per recharge. And since it’s not camera-based and doesn’t store data in the cloud, it helps protect privacy.”

Could be wrong but aren't Pulsar and T1 analog whereas Akida is digital.........

 

[Fullmoonfever]

Could be wrong but aren't Pulsar and T1 analog whereas Akida is digital.........

Combined analog and digital according to the article. Analog for spiking component and digital for processing or something. I would need read it again.

 

[Food4 thought]

Nearly 1/2 way through the year and still sweet FA in regards to any revenue, with the last $$ announcement being back on the 16th December. I wonder how many shareholders have passed away while invested in BRN as statically I’d thought maybe a few

I think I died at the last AGM
This company atm is like pulling teeth but all the teeth seam to break on removal. Really need something to happen just something and the only news we get is someone selling shares or some other person leaving the company.

They need a kick in the arse

 

[7für7]

Could be wrong but aren't Pulsar and T1 analog whereas Akida is digital.........

Whether you ask me or not… the fact is, the market keeps going for other solutions, even if they can’t do what Akida can. That’s what I was pointing out yesterday.

 

[Bravo]

Spectrum and Innatera appear to have a little dig at Pico and also they're hooking up with Socionext, one of our earlier partners (Synquacer?) that appears to have not done much so far other than the first chips

Innatera's Pulsar Chip Could Be a Game-Changer for Ultra-Low-Power AI Sensors

Innatera's Pulsar chip, the first commercial neuromorphic microcontroller, promises ultra-low power AI with 100x lower latency.

spectrum.ieee.org

Spiking Neural Network Chip for Smarter Sensors

Innatera’s chip promises lower latency and power consumption for edge AI​

Charles Q. Choi
14 hours ago
4 min read

Excerpt:

What Makes Pulsar Unique in AI Sensors?​

What sets Pulsar apart from other neuromorphic devices, such as BrainChip’s Akida Pico, “is not just building a neuromorphic core, but also the rest of the system around it,” Kumar says. “In the industry, there’s a lot of emphasis on inference, but when their neuromorphic cores speak with the rest of their systems, you see them burning power moving data in and out, and all the energy gains they can bring to the table quickly become irrelevant. We built Pulsar as an engine for efficient processing, not just efficient inference.”

By integrating all these functions together, “it’s the only chip a sensor needs to process data,” Kumar says. This can simplify overall device design, which can reduce the need for complex data signal-processing pipelines, speed up development and time to market, lower maintenance costs, extend battery life and enable submillisecond analysis times.

With submilliwatt power consumption, “Pulsar enables always-on processing of sensor data, even in devices radically constrained by power,” Kumar says. For example, it can enable radar-based presence detection with as little as 600 microwatts and audio scene classification with just 400 µW. In comparison, similar applications using conventional electronics consume 10 to 100 milliwatts, he notes.

Excerpt:

Innatera is partnering with the Japanese system-on-a-chip company Socionext to develop a radar-based sensor that can accurately detect people even if they are standing perfectly still, based on their body motions as they breathe. “It can ignore things like bushes moving in the wind,” Kumar says. “It can extend smart doorbell operations to 18 months per recharge. And since it’s not camera-based and doesn’t store data in the cloud, it helps protect privacy.”

Hi FMF,

It's interesting because I have actually been grappling of late with questions surrounding why Socionext has chosen to partner with Innatera, despite holding the view that their technology isn’t necessarily superior to BrainChip's.

I came to the conclusion that it might have something to do with ease of deployment.

Innatera is focused on signal processing, particularly with audio and radar which aligns with the type of data Socionext’s 60GHz radar sensors generate. Their Pulsar chip is supposedly purpose-built to interface with those particular types of sensors and recognize patterns like human presence, movement, or gestures, with ultra low latency and power consumption.

Inatera's Pulsar seems like more of a drop-in solution which may be easier to integrate without extensive engineering. In contrast, Akida is a much more flexible, general-purpose platform capable of supporting a broader range of applications. In other words, I believe Akida is much more versatile, but I suppose with that flexibility comes added integration complexity.

SNNs and event-based data clearly present a much deeper learning curve for our potential customers than I had first envisaged.

On a positive note, to date there hasn’t been any indication that Socionext has abandoned BrainChip, so it may simply be a case of strategic diversification - choosing to engage different neuromorphic vendors for different verticals.

 

[smoothsailing18]

Hi FMF,

It's interesting because I have actually been grappling of late with questions surrounding why Socionext has chosen to partner with Innatera, despite holding the view that their technology isn’t necessarily superior to BrainChip's.

I came to the conclusion that it might have something to do with ease of deployment.

Innatera is focused on signal processing, particularly with audio and radar which aligns with the type of data Socionext’s 60GHz radar sensors generate. Their Pulsar chip is supposedly purpose-built to interface with those particular types of sensors and recognize patterns like human presence, movement, or gestures, with ultra low latency and power consumption.

Inatera's Pulsar seems like more of a drop-in solution which may be easier to integrate without extensive engineering. In contrast, Akida is a much more flexible, general-purpose platform capable of supporting a broader range of applications. In other words, I believe Akida is much more versatile, but I suppose with that flexibility comes added integration complexity.

SNNs and event-based data clearly present a much deeper learning curve for our potential customers than I had first envisaged.

On a positive note, to date there hasn’t been any indication that Socionext has abandoned BrainChip, so it may simply be a case of strategic diversification - choosing to engage different neuromorphic vendors for different verticals.

This is my thinking as well hence the need of many models to simplify integration .
As mentioned before i do hope we are working with the new chiplet designers within the automotive sector as imo we are a prefect fit for these models and need to become apart of this revolutionary design.

 

[smoothsailing18]

Ok, ... this is the first time I've used chatgp for something like this and I like the answer....

What is Lancaster Grove Capital primary objective when they take on an asx listed company as a client

Lancaster Grove Capital is a specialist strategic investor relations advisory firm that partners with ASX-listed companies trading significantly below their intrinsic value. Their primary objective is to unlock the potential of these undervalued companies by enhancing their market positioning and investor engagement.

Core Objectives and Approach​

1. Targeting Undervalued Companies: Lancaster Grove Capital focuses on high-quality businesses with strong competitive advantages that are not fully recognized by the market. Their goal is to bridge this valuation gap by improving how these companies are perceived by investors.
2. Strategic Investor Relations: They provide tailored investor relations services, including:
   • Targeted shareholder communication
   • Strategic market messaging
   • Effective investor marketing
   • Regular engagement with current and potential investors
   • Optimizing market communications and presentations
   • Managing results roadshows
   • Coordinating closely with brokers to enhance visibility and address market dynamics
3. Selective Client Engagement: By concentrating on a select group of clients, Lancaster Grove Capital ensures personalized attention and strategic alignment, allowing for a more effective investor relations strategy.
4. Independence and Integrity: Operating with complete independence, they are solely dedicated to representing their clients and are not remunerated by investors or brokers in any way, ensuring no conflicts of interest.

In summary, Lancaster Grove Capital's primary objective when engaging with an ASX-listed company is to enhance its market valuation by providing strategic investor relations services that effectively communicate the company's intrinsic value to the investment community.

I wonder if Lancaster Grove Capital will be dealing with the future ASX announcements moving forward and if there will be any improvements.
They may well give this area a lift

 

[Frangipani]

View attachment 86364
Looks like these guys won't be spending much time entertaining any of us. Lets hope they secure a massive whale that will drive the SP up.

Hey, we small fry will get a Social Media Marketing Intern, though…

BrainChip hiring Social Media Marketing Intern in Laguna Hills, CA | LinkedIn

Posted 4:06:42 PM. Objectives: To grow BrainChip’s social media footprint, increase engagement, and implement paid…See this and similar jobs on LinkedIn.

www.linkedin.com

Hopefully they won’t accidentally hire the same person who claimed the following on Reddit the other day, without providing any sources whatsoever.

Most likely a BRN shareholder who wanted to spruik Akida and drive up the share price with some fabricated “evidence”.

Unsubstantiated hype like that is NOT helpful…

In case you missed the news:

“On June 1, Russia’s Military Transport Aviation Day, a significant holiday for the Russian armed forces, the Security Service of Ukraine (SSU) carried out a bold and unprecedented coordinated drone strike deep inside Russian territory. The operation targeted four strategic air bases and delivered a major blow to Moscow’s long-range bomber fleet. Codenamed “Spider’s Web”—or simply “Web”—the operation was named for its wide geographic coverage across remote Russian locations previously thought to be beyond the reach of Ukraine’s long-range drone capabilities.”

How Ukraine’s Operation “Spider’s Web” Redefines Asymmetric Warfare

Kateryna Bondar unpacks Operation “Spider's Web”—a groundbreaking drone offensive that blends low-cost technology, precision targeting, and strategic planning to expose the vulnerabilities of powerful militaries and redefine the future of strategic warfare.

www.csis.org

 

[smoothsailing18]

all jokes a side tho , i like this idea as it is yet to be tapped and in all fairness to BRN MANAGEMENT it should have someone spruking in the social media realm from the company, It all helps.

I am really happy with this new IR company idea as i reckon they will be very good for us indeed and hopefully can support more ASX announcements with asurity it won't be an issue by the ASX in doing so.

 

[Pom down under]

https://pdf.irpocket.com/C6875/vAfC/afIi/zKUC.pdf

 

[7für7]

Monthly newsletter

BrainChip Sets Sights on the Future

 

[FiveBucks]

Zzzzzzzzzzzzzzz........

Wake up brainchip.

 

[7für7]

Zzzzzzzzzzzzzzz........

Wake up brainchip.

Pffff… it’s weekend

https://media0.giphy.com/media/v1.Y2lkPTZjMDliOTUyZ2ZnZ3Y3YW9seXg0YnM5ZXZoeTQ2YmE4aXp3M2F2dzkxNWkwdGp3YyZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9Zw/wHhXgCYPPGFk4/giphy.gif

 

[Bravo]

Surely it can't be too much longer before something comes our way as a result of this new partnership between Arm and Cerence, where low-power, real-time LLM inference at the edge is the central challenge?

As we all know, Akida excels at:

• Keyword spotting
• Natural language intent classification
• Time-series pattern recognition

While Arm and Cerence are working on optimizing LLMs on traditional CPU/GPU pipelines, the bottlenecks of power, latency, and thermal limits in vehicles still remain. Akida, being a neuromorphic processor would be capable of delivering sub-milliwatt operation for AI inference, event-based, real-time processing, on-device learning capabilities and ultra-low latency for audio and language data streams.

What's not to like about that? These would be ideal traits for in-vehicle voice assistants and LLM use cases, where responsiveness, power efficiency, and privacy really matter.

It says here that "CaLLM Edge operates fully on Arm-based chipsets" and we know Akida is compatible with the Arm product family as has been successfully demonstrated with Cortex M85.

I could easily imagine a Cerence voice assistant enhanced by Akida doing real-time voice analysis and decision-making, entirely offline, with a power budget that’s EV-battery friendly.

Arm should be asking: "How can we future proof this stack for in-cabin AI by 2026-2027 when compute demands will surge but battery and thermal budgets won't".

Cerence AI and Arm push LLM boundaries with on-device AI for smarter cars​

Jun 6, 2025 | Stephen Mayhew
Categories Edge Computing News | Hardware

Cerence AI has partnered with semiconductor manufacturer, Arm to enhance its embedded small language model (SLM), CaLLM Edge, using Arm’s Kleidi software library.
The collaboration aims to optimize CPU and GPU performance for real-time language processing at the edge, improving speed, efficiency, and privacy highlighting the growing importance of edge computing and generative AI in the automotive industry.
Arm’s Kleidi technology accelerates machine learning and neural network operations on Arm-based devices, addressing the challenges of limited compute power in vehicles. CaLLM Edge operates fully on Arm-based chipsets, enabling advanced in-car AI capabilities without relying on cloud connectivity.
“We are excited to partner with Arm to take CaLLM Edge to the next level, setting new standards for performance and efficiency in edge computing in the car,” says Nils Schanz, EVP, Product & Technology, Cerence AI. “By combining our expertise in AI-powered language models with Arm’s innovative library, we are continuing our journey to create a new era of voice-first experiences and next-generation AI applications in the automotive space, empowering consumers with smarter, faster, and more responsive in-car assistants.”
This partnership supports automakers in delivering smarter, faster, and more responsive AI-powered user experiences for drivers and setting new standards for in-car AI applications, enhancing safety and connectivity.

​

https://www.edgeir.com/cerence-ai-and-arm-push-llm-boundaries-with-on-device-ai-for-smarter-cars-20250606

 

[7für7]

Surely it can't be too much longer before something comes our way as a result of this new partnership between Arm and Cerence, where low-power, real-time LLM inference at the edge is the central challenge?

As we all know, Akida excels at:

• Keyword spotting
• Natural language intent classification
• Time-series pattern recognition

While Arm and Cerence are working on optimizing LLMs on traditional CPU/GPU pipelines, the bottlenecks of power, latency, and thermal limits in vehicles still remain. Akida, being a neuromorphic processor would be capable of delivering sub-milliwatt operation for AI inference, event-based, real-time processing, on-device learning capabilities and ultra-low latency for audio and language data streams.

What's not to like about that? These would be ideal traits for in-vehicle voice assistants and LLM use cases, where responsiveness, power efficiency, and privacy really matter.

It says here that "CaLLM Edge operates fully on Arm-based chipsets" and we know Akida is compatible with the Arm product family as has been successfully demonstrated with Cortex M85.

I could easily imagine a Cerence voice assistant enhanced by Akida doing real-time voice analysis and decision-making, entirely offline, with a power budget that’s EV-battery friendly.

Arm should be asking: "How can we future proof this stack for in-cabin AI by 2026-2027 when compute demands will surge but battery and thermal budgets won't".

Cerence AI and Arm push LLM boundaries with on-device AI for smarter cars​

Jun 6, 2025 | Stephen Mayhew
Categories Edge Computing News | Hardware

Cerence AI has partnered with semiconductor manufacturer, Arm to enhance its embedded small language model (SLM), CaLLM Edge, using Arm’s Kleidi software library.
The collaboration aims to optimize CPU and GPU performance for real-time language processing at the edge, improving speed, efficiency, and privacy highlighting the growing importance of edge computing and generative AI in the automotive industry.
Arm’s Kleidi technology accelerates machine learning and neural network operations on Arm-based devices, addressing the challenges of limited compute power in vehicles. CaLLM Edge operates fully on Arm-based chipsets, enabling advanced in-car AI capabilities without relying on cloud connectivity.
“We are excited to partner with Arm to take CaLLM Edge to the next level, setting new standards for performance and efficiency in edge computing in the car,” says Nils Schanz, EVP, Product & Technology, Cerence AI. “By combining our expertise in AI-powered language models with Arm’s innovative library, we are continuing our journey to create a new era of voice-first experiences and next-generation AI applications in the automotive space, empowering consumers with smarter, faster, and more responsive in-car assistants.”
This partnership supports automakers in delivering smarter, faster, and more responsive AI-powered user experiences for drivers and setting new standards for in-car AI applications, enhancing safety and connectivity.

​

https://www.edgeir.com/cerence-ai-and-arm-push-llm-boundaries-with-on-device-ai-for-smarter-cars-20250606

 

[GStocks123]

Analog Devices??

AI Algorithm Engineer – Edge & Emerging Hardware
https://www.indeed.com/viewjob?jk=628d39713a7a448e&from=appshareios

 

[Xray1]

Nah, they're going to give that job to a Social Media Marketing Intern.

36,000+ Media Relations Assistant jobs in United States

Today's top 36,000+ Media Relations Assistant jobs in United States. Leverage your professional network, and get hired. New Media Relations Assistant jobs added daily.

www.linkedin.com

And they're gonna be the ones patrolling these forums....

View attachment 86388

Nah, they're going to give that job to a Social Media Marketing Intern.

36,000+ Media Relations Assistant jobs in United States

Today's top 36,000+ Media Relations Assistant jobs in United States. Leverage your professional network, and get hired. New Media Relations Assistant jobs added daily.

www.linkedin.com

And they're gonna be the ones patrolling these forums....

View attachment 86388

Maybe they are targeting FF with the last Skill Needed requirement for this employment position .....
being * Existing member of Tsex or HC Forums an advantage.

 

[IloveLamp]

What is Edge AI really—beyond the buzzword? | EDGE AI FOUNDATION

What is Edge AI really—beyond the buzzword? At COMPUTEX 2025, our CEO Pete Bernard broke it down with ipXchange: Edge AI isn’t just about performance—it’s about possibility. 🚀 👉 It’s AI where the data is born: in sensors, cameras, embedded systems—not cloud servers. That means faster...

www.linkedin.com