BRN Discussion Ongoing

HopalongPetrovski said:

I think that's what Dolci calls a horrivertical.

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Based on the crapper late today. If you believe Dolci then she has sold all shares in BRN. There is some interesting but good news. Dolci shouldn’t need to post anymore on BRN. Fingers crossed anyway.

just saw this today in the shopping centre.
And all I see is Akida hearing aids. Who ever owned this shop must have loads of BRN Shares.

My opinion only
Dyor

TheDon

DingoBorat said:

Can someone ask Dolci, for one of her charts? ..

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She said it's going down down

Diogenese said:

If we get other speeding ticket, do we have enough points to lose our licence?

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We have ways of "cleaning the slate" so to speak...

Probably already said but now we know why the M.2 card was developed.

manny100 said:

Probably already said but now we know why the M.2 card was developed.

LeadGen CyberSecurity

The prominent need for Cybersecurity in today’s connected world Cyber threats are on the rise, growing in both frequency and complexity, resulting in greater costs and disruptions for companies and organizations globally. The network connection has two key points of focus for protection: the...

brainchip.com

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Further to my above post the Edge box for Cyber security specifically says in the pic that it contains the M.2 card.
If its the only game in town then at $249 for an M 2 card and commercially available (as mentioned on the podcast) then maybe we will make a few $$.

TECH said:

Good afternoon/evening/morning, wherever you are based around the globe.

Looks like a thermal is forming, I detect some upward pressure, news flow is rather steady as we head into next week,
where our 4C and 4th Quarter Figures from 2024 will be released to the market, as mentioned I expect an improvement
from the last report, but nothing major.

I've been too busy today and haven't even watched the Podcast, but noticed the share price late this afternoon here in NZ,
nice work loyal shareholders, hold strong, you hold a winners ticket in the medium/long term in my opinion.

No point in asking how Steve carried himself in this mornings Podcast, I'm sure he represented us brilliantly !!

There seems to be quite a bit of talk about takeovers, I'll stick to my, within the next 3 years comment as we need to clear
a few more waypoints, so to speak, BUT, I wouldn't be at all surprised if our Board has been approached already in informal
conversations about what our future plans/directions are, and because no formal (material) offer has been tabled, the Board
is under no legal obligation to advertise the fact to the shareholder base, happy to be corrected by any poster who knows
otherwise.

This photo is one of my proudest moments, getting to see our AKD 1000 first run NSoC here in Perth, Australia with our founder,
Peter, a truly blessed moment in time in my life....I have never, ever given up the belief that, the dream will not succeed, stay strong
shareholders, Peter and Anil's dream is right on track (and the institutions) know it !

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THIS IS AI GENERATED!!!!! I WAS THE CAMERA!!!!!

Looks like we were being discussed in.a Keynote address at the recent:

National CyberSecurity Center International Congress
The IEEE Hyper-Intelligence Congress 2024

HERE

Satchmo25 said:

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Your posts seem very constant

uiux said:

Below is a concise summary of the press release, highlighting key points and explaining how it relates to a cybersecurity device co-located with each network interface (NIC):

---

Press Release Summary​

• Companies & Partners
  • BrainChip Holdings Ltd: Described as the world’s first commercial producer of ultra-low power, fully digital, event-based (“neuromorphic”) AI.
  • Quantum Ventura: Developed the CyberNeuro-RT (CNRT) technology in partnership with Lockheed Martin’s MFC Division and Pennsylvania State University.
  • Funding: Partial funding provided by the U.S. Department of Energy under the SBIR program.
• Technology & Use Case
  • CyberNeuro-RT (CNRT): A solution to protect WiFi access points, home routers, small enterprise routers, and other network access devices where full-scale centralized security is impractical (due to cost, bandwidth, or power constraints).
  • Integration of BrainChip’s Akida Processor: Akida provides on-device, ultra-low-power AI capabilities to detect and learn network-specific cyberattacks.
  • Neuromorphic Edge AI:
    • Enables on-chip (in-situ) learning of normal versus abnormal traffic patterns.
    • Minimizes power consumption (much lower than GPUs), essential for edge devices.
    • Reduces reliance on cloud-based or central servers for updates, since Akida can adapt locally to evolving attack signatures.
• Value Proposition
  • Local Threat Detection: Because Akida can learn in real time, it identifies unknown patterns that deviate from normal network traffic—i.e., novel malware or exploit attempts.
  • Ultra-Low Power & Small Form Factor: Ideal for battery-operated, fanless, or otherwise resource-constrained devices (like small home routers or IoT gateways).
  • Incremental Learning: Akida’s architecture supports continuous updates without retraining the entire model offsite, which is critical for real-world and evolving threats.
• Quotable Insight
  • Srini Vasan (CEO of Quantum Ventura) describes CNRT as “the only game in town” for managed cybersecurity support of devices that cannot rely on centralized server-based defenses.

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Relation to “Co-Located with Each NIC”​

1. Device-Level Security:
   • The press release implies this cybersecurity solution (CNRT + Akida) runs at or near each network access point (e.g., home router, WiFi access point).
   • In practical terms, if your product is “co-located with each NIC,” this press release shows how Akida’s neuromorphic AI can be embedded or paired at the edge interface level.
2. Ultra-Low Power, Embedded Approach:
   • Traditional, high-power security solutions (like GPU-based intrusion detection) cannot be installed individually on every port or router.
   • Neuromorphic AI (like Akida) fits the “per NIC” concept by being extremely compact and requiring minimal power, thus making it possible to deploy at many endpoints that previously could not host such technology.
3. Immediate Detection & Localized Learning:
   • When the cybersecurity module is physically adjacent to the NIC or integrated into the router, abnormal traffic flows can be spotted immediately.
   • This local presence allows for near real-time detection of zero-day attacks without waiting for cloud updates.

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Why It Matters​

• Edge Growth: With billions of IoT devices connecting over WiFi, cellular, and home/enterprise routers, having a practical per-port or per-device cybersecurity layer addresses a massive threat surface.
• Scalability: A small, low-power neuromorphic chip like Akida offers scalable protection without the overhead of large centralized systems—key for widespread deployment.
• Evolving Threat Landscape: Attackers continuously modify exploits. On-chip/in-line learning helps keep pace without requiring every router to communicate with a central, high-power server.

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Final Takeaway​

This press release underscores the feasibility of deploying neuromorphic AI directly at each network interface—precisely the concept of “co-locating” security with the NIC. BrainChip’s Akida processor, used in Quantum Ventura’s CNRT solution, exemplifies how edge-based, ultra-low-power AI can protect network devices from emerging cyber threats by learning in real time and adapting on the spot.


Below is an updated view of the U.S. market size and device counts specifically focused on WiFi access points, home routers, small enterprise routers, and similar network access devices. Since the press release targets “WiFi access, home router, small enterprise routers, and other network access devices,” these estimates emphasize that subset of the broader network infrastructure.

As with any market sizing, no single public source tracks every device. The following figures combine publicly reported data (e.g., broadband adoption, small business counts) with typical assumptions about device ownership or usage.

---

1. Overview of Key Segments​

A. Consumer/Home Routers & WiFi Access Points​

• U.S. Households: ~130 million total (U.S. Census).
• Broadband Penetration: ~90% of households have home broadband.
• Estimated Home Routers: 110–120 million installed (some households rely on ISP-provided modems/routers, while others purchase separate devices).
• Typical Device NIC Configuration: A consumer router often has 1 WAN port, 4 LAN ports, and integrated WiFi radios. If you are counting physical Ethernet NICs, that can be 5+ ports per router, plus the WiFi interfaces.

B. Small Enterprise Routers​

• U.S. Small Businesses: ~32 million total (SBA data), of which ~6 million have paid employees. Most rely on at least one router/firewall device.
• Estimated Small Enterprise Routers: 10–15 million active devices (some businesses have multiple sites; others use combined router/switch/firewall appliances).

C. “Other Network Access Devices” (WiFi Hotspots, Range Extenders, Guest Networks)​

• Hotspots & Range Extenders: Millions of such units are sold each year, mainly to enhance existing home or small-business WiFi coverage.
• Estimated Installed Base: 30–40 million (roughly) across the U.S., counting both consumer and SMB usage. Many are replaced or upgraded every 2–3 years.
• NIC Configuration: Often 1 Ethernet port + WiFi radio(s).

(Note: This category sometimes overlaps with the “home router” segment if a device doubles as a router/access point.)

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2. Consolidated Table: U.S. Market for Home & Small Business Network Access Devices​

Totals

• Installed Base of “Network Access Devices” (home + small biz + extenders): ~150–175 million devices in the U.S.
• Potential NIC Count: Each device can have multiple physical Ethernet ports plus WiFi radios; a very rough estimate is 300–600 million discrete “NIC interfaces” across these device categories.

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3. Market Value Indicators​

While the press release highlights device-level protection, some organizations track market value rather than installed units. For reference:

• Home / Consumer WiFi Router Market (U.S.): Often cited at $2–3 billion annually (subset of a global market of $9+ billion).
• Small Business Router/Firewall Segment (U.S.): Part of an overall $15–20 billion enterprise networking market, though that includes larger routers/switches.
• Growth Trend: Upgrades to WiFi 6/6E and upcoming WiFi 7, plus new broadband subscribers, continue to drive replacement cycles.

---

4. Key Assumptions and Caveats​

1. Overlap with ISP Equipment: Many households use an ISP-provided gateway. We count these as home routers, even if they’re integrated modem/router/WiFi combos.
2. Multi-Site Businesses: A small company with multiple branches might have multiple routers. Conversely, some micro-businesses (home-based) might only use a consumer router.
3. NIC Definition: If you’re counting physical Ethernet ports + wireless radios as discrete NICs, the total can vary widely by device model.
4. Replacement Cycles: Consumer WiFi routers are often replaced every 3–5 years. Small enterprise gear can have slightly longer refresh cycles.
5. Exact Figures: No single authoritative public source reports a real-time tally of “router + NIC” counts. The ranges above reflect triangulations from broadband adoption, small business counts, and industry shipment data.

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Final Takeaway​

• Device Count: 150–175 million home and small enterprise “network access devices” in the U.S. is a reasonable ballpark.
• NIC Count: If your solution physically sits at each interface (wired or wireless), the total number of NICs across these devices can easily reach 300–600+ million.
• Market Potential: Given continuous growth and replacement cycles, annual shipments number in the tens of millions, supporting a robust ongoing market for edge-based cybersecurity solutions such as the one described in the press release (CNRT with BrainChip’s Akida).

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Thank you for sharing!
Do any of you have a link to this press release?

____
I was looking for it.

uiux said:

https://armyrecognition.com/news/ar...ambitious-plan-for-a-fully-american-iron-dome



Re:

https://thestockexchange.com.au/threads/hypersonic.1094/

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This kind of ties in to the theme.. 4 weeks old but..

BrainChip Holdings Ltd, the world’s first commercial producer of ultra-low power, fully digital, event-based, brain-inspired AI, has officially announced a whole new lineup of partners who are developing revolutionary technology demonstrations and products with the Akida™ Edge AI Box.

In case you weren’t aware, Akida™ Edge AI Box happens to be a compact, cutting-edge appliance which provides AI/ML processing power to support a wide variety of markets, such as manufacturing, warehouse, retail, hospitals, energy, automotive, and aviation. More on that would reveal how this particular technology actually makes for an embedded Linux solution with Ethernet, Bluetooth, and USB interfaces.

The stated integration treads up a long distance to let its underlying innovation provide a complete edge AI computing platform based on Brainchip’s Akida AKD1000 IC.

Another detail worth a mention is rooted in the solution’s pledge to put BrainChip’s event-based neural processing, capable of closely mimicking the learning ability of the human brain, into energy-efficient, portable hardware. This it does to deliver powerful AI computing performance level, a level which has consistently showed to exceed market standards for edge AI computing appliances.

Here, Dual Akida processors also step in to seamlessly perform on-chip learning, independent of the cloud, for application security, reduced training overhead, and faster learning.

Beyond its technological brilliance, the solution also offers the prospect of substantial cost efficiency. In fact, an example of that can be had once you consider it would be financially viable to deploy Akida Edge AI Box in every patient’s room to monitor their health and safety; in every store aisle to gauge shopping experience; in every car, truck, boat, or plane in the fleet to manage logistics.

Furthermore, we ought to mention that BrainChip developed the Akida Edge AI Box in partnership with VVDN Technologies, a premier electronics innovation and manufacturing company. VVDN would on to manufacture BrainChip Akida Edge AI Box Developer Kit, as well as custom versions of the product with OEMs for volume commercial applications.

All in all, BrainChip Akida can be used as an event-based computing platform ideal for early detection, low-latency solutions for robotics, drones, automotive and traditional sense-detect-classify-track solutions. Complementing the same would be Brainchip’s decision to provide range of software, hardware, and IP products for integration into existing and future designs.

“The Akida Edge Box is a great platform for running AI in standalone edge environments where footprint, cost and efficiency is critical, while not compromising performance,” said Sean Hehir, CEO of BrainChip. “We look forward to announcing more partners developing edge AI for their customers’ specific use cases and more importantly, we look forward to the ideas these companies will bring to life with the Akida Edge AI Box.”

Anyway, talk about companies that are currently leveraging this technology, we begin from the Edge AI Model training and Development space, where Edge Impulse is demonstrating how easy it is to build and deploy custom machine learning models directly on the Akida Edge AI box.

Next up, there is the field of gesture recognition. Here, BeEmotion, an innovator at the intersection of AI and human behavior that provides cutting-edge solutions, is banking on Brainchip’s technology to enhance interaction, prevent accidents, and bring enjoyment to the everyday use of technology.

Then, we have the subject of climate change, an area which is witnessing AI Labs, a pioneer in AI, robotic process automation, and software development, using Akida to forecast and gain visibility into contributors to climate change, such as emissions.

Moving on, the model evaluation field also stands to gain from Akida and that is evident in DeGirum, a leader in AI innovation with comprehensive solutions that accelerate the adoption of AI at the edge, and its successful attempt to streamline AI workflows.

Hold on, we still have a couple of bits left to unpack, as we haven’t yet touched upon how Quantum Ventura Inc., provider of advanced R&D to the federal government in fields such as machine learning, hyperspectral imaging, and cybersecurity, is leveraging Akida to enhance its CyberNeuro-RT (CNRT) technology, which happens to be an AI/ML-driven, highly-scalable, real-time network defense & threat intelligence tool.

The Stargate Project
USD 500B over 4 years
AI, Data centres, cybersecurity..
This infrastructure will secure American leadership in AI, create hundreds of thousands of American jobs, and generate massive economic benefit for the entire world. This project will not only support the re-industrialization of the United States but also provide a strategic capability to protect the national security of America and its allies.

Sounds like double edged sword. Definitely need Akida, keep an eye on this project. Smells $$

FWIW

US market

BRCHF 2.25m shares just purchased at the ask.

Never have seen a trade anywhere near that size.

Probably represents nearly 10x normal daily volume.

Still not sure if Trump hasn’t rescinded this particular EO? It’s still on the Federal Register so it could still be alive.



First KPI is due in 30 days!

Fullmoonfever said:

Looks like we were being discussed in.a Keynote address at the recent:

National CyberSecurity Center International Congress
The IEEE Hyper-Intelligence Congress 2024

HERE


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Rajiv Ranjan is a friend of mine. I will ask him what is his involvement with BRN

IloveLamp said:

Let SSMs be ConvNets: State-space Modeling with Optimal Tensor...

We introduce Centaurus, a class of networks composed of generalized state-space model (SSM) blocks, where the SSM operations can be treated as tensor contractions during training. The optimal order...

openreview.net

Rudy Pei on LinkedIn: Happy to share that a work I did at BrainChip has been accepted to ICLR…

Happy to share that a work I did at BrainChip has been accepted to ICLR 2025. Introducing Centaurus, a companion to our previous Pleiades network, in the TENNs…

www.linkedin.com

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I hope they're keeping this guy happy..
He seems like a big asset to us.

charles2 said:

FWIW

US market

BRCHF 2.25m shares just purchased at the ask.

Never have seen a trade anywhere near that size.

Probably represents nearly 10x normal daily volume.

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Yes @charles2 thats insane. 1,145% of the ave