BRN Discussion Ongoing

Mccabe84

Regular
No worries… we were all wrong! Most of us in assuming we’d finally see the $2–3 range this year.
So yeah… let’s just wipe the slate clean!

It’s just funny that you have to go to the website to read about it Lol
It seems that the company doesn't really like announcing anything on the ASX anymore.
 
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equanimous

Norse clairvoyant shapeshifter goddess
Trevor's first day as BRN IR

Screenshot_20250606_114046_Brave.jpg
 
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Guzzi62

Regular
Slightly off-topic, but very interesting nevertheless.


In a highly secured lab in the Netherlands, ASML spent a decade developing a $400 million machine that’s transforming how microchips are made. High NA is the latest generation of EUV, the only machines in the world that can etch nanoscopic blueprints on advanced chips for giants like Intel, TSMC and Samsung. The size of a double-decker bus, only five of these machines have been shipped so far. It’s unclear how Trump’s tariffs will impact the complex global supply chain for the lithography machines. But without them, no advanced chips can be made by the likes of Nvidia, Apple and AMD. No filming of High NA has ever been allowed until CNBC went to the Netherlands for this exclusive first look.


 
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Catched it up at by FF


Thoughts?
Thank you God
 
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Let’s see if the brainchip shareprice reacts to the Trump–Musk drama too… I still can’t wrap my head around how something so childish can have such a drastic impact. It really says a lot about the quality of today’s investors.
Back in the day, markets dropped because of global economic shifts, oil crises, and wars.
Today? Because two guys can’t control themselves…
“Mom, he stuck his tongue out at me!” – “No, youuu did!”….. they know exactly what they are doing… and the people tap into the trap!

What’s left?
Market psychology at kindergarten level – backed by hedge fund money.
Welcome to the year 2025.
Trump and Elon are at it pumping and dumping the stocks
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!

Sandia Deploys SpiNNaker2 Neuromorphic System from SpiNNcloud​

June 5, 2025

DRESDEN, Germany, June 5, 2025 — SpiNNcloud today announced that Sandia National Laboratories has deployed a SpiNNaker2-based neuromorphic computing system to explore energy-efficient architectures for artificial intelligence and national security applications.
SpiNNaker2 Installation at Sandia National Labs. Photo credit: Craig Fritz, Sandia National Labs.
Developed by SpiNNcloud and based on research led by Steve Furber, designer of the original ARM architecture, SpiNNaker2 uses a large number of low-power processors to simulate spiking neural networks and support AI workloads.
The deployment supports Sandia’s broader efforts to investigate alternative computing architectures that reduce energy consumption while advancing capabilities in areas such as nuclear deterrence and AI research.
“Although GPU-based systems can boost the efficiency of supercomputers by processing highly parallel and math-intensive workloads much faster than CPUs, brain-inspired systems, like the SpiNNaker2 system, offer an enticing alternative,” said Craig M. Vineyard, Ph.D., research scientist at Sandia National Laboratories. “The new system delivers both impressive performance and substantial efficiency gains concurrently to Sandia’s neuromorphic capabilities.”
The SpiNNaker2 system employs a highly parallel architecture consisting of 48 SpiNNaker2 chips per server board, each containing 152 Arm-based cores and specialized accelerators. This design enables efficient, event-driven computation, allowing the system to perform complex simulations at a lower energy profile compared to traditional GPU-based systems. Such energy efficiency is crucial for applications where power consumption and cooling are limiting factors.
“Our vision is to pioneer the future of artificial intelligence through brain-inspired supercomputer technology for next-generation defense and beyond,” said Hector A. Gonzalez, co-founder and CEO of SpiNNcloud. “The SpiNNaker2’s efficiency gains make it particularly well-suited for the demanding computational needs of national security applications. We’re thrilled to partner with Sandia on this venture, and to see the system being brought to life first-hand.”
Looking ahead, SpiNNcloud is supporting emerging generative AI algorithms by enabling more efficient machine learning through dynamic sparsity. Rather than relying on dense models that activate all neural pathways, dynamic sparsity selectively engages only relevant subsets of neurons based on the input. This shift supports the development of new, more efficient AI architectures and offers a potential path to mitigating the growing energy demands associated with large-scale model training and inference.

 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Screenshot 2025-06-06 at 1.32.34 pm.png
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
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The Pope

Regular
Even $2 USD would be a great outcome!

Interesting outcome for that AI company


The primary difference between BrainChip's and Untether AI's approaches to "copilot" AI lies in their underlying technology and focus. BrainChip focuses on developing edge AI chips, while Untether AI appears to be using LLMs (Large Language Models) for their copilot-like features. This distinction influences how each company's AI systems function, their capabilities, and their target use cases.

Here's a more detailed breakdown:

BrainChip's Approach:
  • Focus:
    Developing AI chips that can run edge AI models on limited power devices according to AI chip makers.
  • Technology:
    Neuromorphic computing, which aims to mimic the human brain's structure and function.
  • Copilot Features:
    While not explicitly a "copilot" in the same way as software tools, BrainChip's chip technology enables edge AI, which can be used for a range of tasks like:
    • Real-time data processing on devices.
    • Predictive maintenance in industrial settings.
    • Autonomous vehicles, etc.
  • Target Audience:
    Companies looking to deploy AI at the edge of their network, in devices like sensors, drones, or smart cameras.
Untether AI's Approach:

  • Focus:
    Using LLMs to provide intelligent insights and support to users.
  • Technology:
    Primarily relies on Large Language Models (LLMs) to process and generate text-based information.
  • Copilot Features:
    Untether AI's copilot-like features likely involve:
    • Providing context-aware information based on user queries.
    • Generating summaries of content.
    • Assisting with tasks like writing, brainstorming, or research.
  • Target Audience:
    Users looking for AI-powered assistance in tasks like content creation, research, and general productivity.
Key Differences Summarized:

Feature BrainChip Untether AI
Technology Edge AI Chips (Neuromorphic) LLMs (Large Language Models)
Focus AI at the edge of devices AI-powered assistance and insights
Copilot Role Enabling AI for various edge-based applications Providing AI-generated insights and support

In essence, BrainChip is focused on the hardware infrastructure for AI, while Untether AI (and other AI tools) use software (LLMs) to provide AI capabilities to users. Both approaches play a vital role in the broader landscape of AI development, with BrainChip's focus on edge AI and Untether AI's focus on AI-driven assistance in various tasks.
 
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The Pope

Regular
It seems that the company doesn't really like announcing anything on the ASX anymore.
Do you blame them when they can’t get many of the announcements right when then do announce on ASX.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Even $2 USD would be a great outcome!

I think we can rule out the prospect of getting acquired anytime soon.

If a takeover were just around the corner, I doubt the Board would be spending time hiring a swanky new IR firm, unless they thought the acquirer needed help explaining what they just bought.

bbt-shldpnny-explain.gif
 
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HopalongPetrovski

I'm Spartacus!
I think we can rule out the prospect of getting acquired anytime soon.

If a takeover were just around the corner, I doubt the Board would be spending time hiring a swanky new IR firm, unless they thought the acquirer needed help explaining what they just bought.

View attachment 86353
Maybe they just wanna get a betta class of investors.....

Unknown-1.jpeg


.....rather than, the usual crew they've gotten used to. 🤣

 
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FJ-215

Regular
I think we can rule out the prospect of getting acquired anytime soon.

If a takeover were just around the corner, I doubt the Board would be spending time hiring a swanky new IR firm, unless they thought the acquirer needed help explaining what they just bought.

View attachment 86353
Hi Bravo,
Just because it's Friday and not much is happening in BRNworld. I had a poke around Antonio's Linkedin page. Here is one of the 15+ skills he lists in relation to his role as Chairman of BRN........

1749190213707.png
 
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Diogenese

Top 20
Hi Bravo,
Just because it's Friday and not much is happening in BRNworld. I had a poke around Antonio's Linkedin page. Here is one of the 15+ skills he lists in relation to his role as Chairman of BRN........

View attachment 86357
Hi FJ,

Interestingly, AV has been associated with PQShield (Cryptosecurity) for the last 7 months:

https://pqshield.com/products/pqs-sw-cle/

as well as with greengrocer Parsley 360.

PQCryptoLib-Emebedded is a versatile, CAVP-compliant version of PQCryptoLib, PQShield’s CMVP-certified library of post-quantum cryptographic algorithms. With its design focused on ultra-small area efficiency, PQCryptoLib-Embedded has been specifically designed for embedded systems, microcontrollers and memory-constrained devices. It could be the first step towards a hardware solution for providing PQC integration to devices already in the field.

So PQShield is another potential (post-quantum) cryptosecurity partner to add to QV and Chelpis.
 
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CHIPS

Regular
Catched it up at by FF


Thoughts?

Ehm ... who had said so? :unsure: :LOL:

1749191938673.png
 
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FJ-215

Regular
Hi FJ,

Interestingly, AV has been associated with PQShield (Cryptosecurity) for the last 7 months:

https://pqshield.com/products/pqs-sw-cle/

as well as with greengrocer Parsley 360.

PQCryptoLib-Emebedded is a versatile, CAVP-compliant version of PQCryptoLib, PQShield’s CMVP-certified library of post-quantum cryptographic algorithms. With its design focused on ultra-small area efficiency, PQCryptoLib-Embedded has been specifically designed for embedded systems, microcontrollers and memory-constrained devices. It could be the first step towards a hardware solution for providing PQC integration to devices already in the field.

So PQShield is another potential (post-quantum) cryptosecurity partner to add to QV and Chelpis.
He does have his fingers in some very interesting pies!
 

CHIPS

Regular
Turns out i was wrong in my thoughts on Tony's position moving to the US.

I am now saying something most won't like, but my thought was also ... too many mistakes! Who made those numerous mistakes in applications, announcements, and posts? ... We don't know who, but they were part of Tony's job/responsibility, and there were just too many. In this case, an agency is more professional. You do not need a director for this.
 
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Catched it up at by FF


Thoughts?
Love how they finished this announcement 😂
Trevor can be contacted at ir@brainchip.com.
 
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Esq.111

Fascinatingly Intuitive.
Hi Bravo,
Just because it's Friday and not much is happening in BRNworld. I had a poke around Antonio's Linkedin page. Here is one of the 15+ skills he lists in relation to his role as Chairman of BRN........

View attachment 86357
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
 
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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 :cautious:




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.”
 
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