BRN Discussion Ongoing

They have updated the software to support features of the three FPGAs

Eg. ChatGPT explains

That note in the GitHub release document likely refers to the specific FPGA (Field-Programmable Gate Array) versions that the release aligns with. This suggests that the software or model update in the release is optimized for or compatible with these particular FPGA configurations.

Here's a breakdown of the numbers:
  • FPGA 1562 (2-node) → This FPGA version is designed for a 2-node architecture.
  • FPGA 1563 (6-node) → This FPGA version is configured for a 6-node system.
  • FPGA 1532 (ViT) → This FPGA version is optimized for ViT (Vision Transformer) models.
@uiux

You probs understand GitHub better and wondering if you have any thoughts on a previous post of mine from a little while ago?

Post in thread 'BRN Discussion Ongoing' https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-444388
 
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uiux

Regular
Question for our more technically knowledgable like @Diogenese or @chapman89

I did a search on a keyword and found @Sirod69 had been looking at it some time ago (though she sadly hasn't been seen for a few months?) as this evening I found what I thought could be an interesting entry on Github regarding the open source Zephyr RTOS.

Brainchip-India lodged a Documentation Issue a couple of days ago.

Now, is Brainchip-India "our" Indian team?.....can't think of any other Brainchip in India that might be playing with RTOS (Real Time Operating Systems) for SOCs.

Anyway, what caught my eye was the issue being related to the below and in particular "Nordic" SOCs.

Is it conceivable that our team are either playing with the Nordic NRF5 series of SOCs of their own accord or potentially (& preferably) at the request of a client using one of the NRF5 series SOCs?

Or is it a non (SNN) event...pun intended.



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Some background on Zephyr


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Some background on the Nordic nRF5 series of SOCs of which a lot end uses appear in our wheelhouse.




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Could be either / or


Maybe working on a prototype
 
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Diogenese

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https://github.com/Brainchip-Inc/akida_examples/releases/tag/2.11.0-doc-1

Latest version of Akida docs states "Aligned with FPGA 1562(2-node)/1563(6-node)/1532(ViT)"


Indicates three upcoming FPGAs:
  • FPGA 1562(2-node)
  • 1563(6-node)
  • 1532(ViT)
Thanks ui,

This is a peek into the BRN labs.

FPGAs are like the old breadboard circuit assembly to test new configurations in silicon without having to go to full tapeout/wafer production.

2 nodes = 8 NPUs.

6 nodes = 24 NPUs.

ViT = Vision Transformer - this is an option for Akida 2.

I assume these are Akida 2, and from what I've seen of what they have published, each node includes TENNs.

2 nodes is lightweight, but considerably larger than Pico.

6 node would be quite powerful.

ViT is for tracking moving objects. As Vit is an optional extra for Akida2, and Akida 2 has TENNs, and TENNs can process video, I wonder if there is any overlap between the functions?

Oh to be a fly on the wall ...
 
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IloveLamp

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1000021495.jpg
 
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IloveLamp

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AusEire

Founding Member.
New Podcast
 
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MDhere

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Morning fellow brners, happy Friday!
We should be receiving the top 20 shareholders notice today? I checked back on previous notices and quite a number of top 20 increased their shareholdings so will be interesting to compare when this one comes out. O to be a top 20...
Whatever our individual investments are we are part of this growing company and soon imo Brainchip will be thriving just like Arm, Nividia , Amazon and the rest of them that grew into giants
Feeling positive on the last day of January. Looking forward to seeing the Top 20 chart. Bring it on, boomidty boom boom
 
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Morning fellow brners, happy Friday!
We should be receiving the top 20 shareholders notice today? I checked back on previous notices and quite a number of top 20 increased their shareholdings so will be interesting to compare when this one comes out. O to be a top 20...
Whatever our individual investments are we are part of this growing company and soon imo Brainchip will be thriving just like Arm, Nividia , Amazon and the rest of them that grew into giants
Feeling positive on the last day of January. Looking forward to seeing the Top 20 chart. Bring it on, boomidty boom boom
What would be even more positive today is if we received an Ann to the tune of the following :)

Sydney – 31 January 2025 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, BCHPY) (“BrainChip”, or the “Company”), the world’s first commercial producer of neuromorphic artificial intelligence IP, announces today that it has signed multiple year production contracts with Lockhead Martin, Raytheon, Airbus, Boeing, Rolls Royce, Spacex, Collins Aerospace, etc. Sean Hehir, Brainchip CEO, commented on these announcements, "I'm glad these contracts have come to fruition, otherwise my arse would've got reamed big time at the next AGM".
 
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IloveLamp

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What would be even more positive today is if we received an Ann to the tune of the following :)

Sydney – 31 January 2025 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, BCHPY) (“BrainChip”, or the “Company”), the world’s first commercial producer of neuromorphic artificial intelligence IP, announces today that it has signed multiple year production contracts with Lockhead Martin, Raytheon, Airbus, Boeing, Rolls Royce, Spacex, Collins Aerospace, etc. Sean Hehir, Brainchip CEO, commented on these announcements, "I'm glad these contracts have come to fruition, otherwise my arse would've got reamed big time at the next AGM".
1000021507.gif
 
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Bloodsy

Regular
Another great podcast! This one a bit more technical but absolutely fascinating hearing about radar. Our mate Dr Tapson is very impressive, as time goes on we are seeing more and more the caliber of our employees.

My favorite teaser

"2025 is going to be a really exciting year for us, because we have - we can speak about it broad terms, we have some very exciting radar projects going ahead with some prime contractors in the US aviation industry" - Dr Tapson, vice pres engineering.

19'10 time stamp in the latest podcast if you'd like to hear it for yourself
 
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Taproot

Regular
@uiux
From CES, day 3 wrap up.
Mentions Akida 2 FPGA
https://www.linkedin.com/company/brainchip-holdings-limited/posts

BrainChip BrainChip 19,288 followers19,288 followers2w • 2 weeks ago

BrainChip at hashtag#CES2025: Day 3 Recap

Day 3 brought exciting milestones as CMO Steve Brightfield appeared live on "The Gadget Guy" discussing neuromorphic computing's critical role in advancing hashtag#EdgeAI. All Things AI podcast included conversations with Jeff Bier, founder of the Edge AI and Vision Alliance, and Ramkishor Korada, CEO of Vedya.ai, exploring the challenges of Edge AI product development and how expert solutions are reshaping the field.

Our demo suite was buzzing with activity as visitors from leading companies explored our technology. Live demos of audio denoising, Edge LLM and Akida 2 FPGA platform impressed with their real-world applications.

BrainChip's CEO, Sean Hehir, participated in video sessions with Taiwan’s Industrial Technology Research Institute (ITRI)(工業技術研究院, 工研院) and discussions UK-based ipXchange, extending our global reach and showcasing the impact of BrainChip’s innovations worldwide.

We’re thrilled with the momentum so far and look forward to an exciting Day 4!
More: https://lnkd.in/gSYtwfgi
 
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buena suerte :-)

BOB Bank of Brainchip
The good Doctor is an absolute ⭐


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DeepSeek R1's breakthrough results are a boon for BrainChip and the extreme-edge AI industry. Here's how it will impact inference at the extreme edge:

DeepSeek has shattered the "No one ever got fired for going with IBM" mentality, liberating customers from the behemoths' models. This paves the way for a Cambrian explosion of specialized LLMs delivered by smaller companies. It's akin to breaking the 4-minute mile – now that it's been done, we're poised to witness an explosion of innovation. This is excellent news for smaller companies like BrainChip.

Now imagine AI models running on whispers of energy, delivering powerful performance without massive data centers or cloud connectivity. This is the promise of extreme-edge AI, which is BrainChip's sweet spot.

While DeepSeek is an impressive transformer based model, TENNs technology, based on State Space Models (SSMs), currently offers a superior solution for extreme-edge applications:

1. No explosive KV cache: Unlike traditional transformer models that rely on rapidly expanding key-value (KV) caches, TENNs sidesteps this issue with fixed memory requirements, regardless of input length. This fundamental property enables LLMs at the extreme edge.

2. Competitive Performance:preliminary experiments pitting the DeepSeek 1.5B model against TENNs 1.2B model in various tasks, such as trip planning and simple programming, showed comparable or slightly better results for TENNs.

3. Extremely Low Training Costs: BrainChip's focus on small specialized models means training costs are less than a premium economy flight from Los Angeles to Sydney.

DeepSeek's success highlights areas where TENNs can be further enhanced. We can leverage many of the tricks learned from DeepSeek to improve their TENNs LLM even more.

The future of extreme-edge AI is bright, with DeepSeek demonstrating that small companies can compete effectively in this space.

Great read ...Nice work @Tothemoon24 :) ....👏👏👏

Bring it home BRN...🙏🙏🙏

"While DeepSeek is an impressive transformer based model, TENNs technology, based on State Space Models (SSMs), currently offers a superior solution for extreme-edge applications:"
 
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buena suerte :-)

BOB Bank of Brainchip
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Wouldn't mind getting a connection with this company. This new device series ticks plenty of boxes where we can excel with them and they include the M2 expansion capabilities too which would be handy.

At the bottom of the post is another article they did on neuromorphic and they def know of Akida.

Who they are:




In this article:

  1. Introduction
  2. Key Features of the AIO-200-ASL-3L Series
  3. Benefits of the AIO-200-ASL-3L Series
  4. Applications Across Industries
  5. Summary

Introduction​

The AIO-200-ASL-3L Series is setting a new benchmark in the industrial computing world. By seamlessly combining cutting-edge hardware with a compact, rugged design, it empowers businesses to drive efficiency, productivity, and innovation. Whether you are looking for advanced human-machine interface (HMI) solutions or deploying IoT systems at the edge, this series provides an optimal mix of performance, reliability, and scalability. Here, we explore its detailed specifications, unique features, benefits, and applications across multiple industries.

Key Features of the AIO-200-ASL-3L Series​

  1. High-Performance Intel Atom Processing
The AIO-200-ASL-3L Series is powered by Intel’s Atom x7835RE processor. With its 8-core architecture and clock speeds up to 3.6 GHz, this processor ensures unparalleled performance for demanding industrial workloads. Its energy-efficient design allows it to process complex tasks without compromising on power consumption.
  1. Immersive High-Resolution Displays
The system features three display size options—10.1”, 15.6”, and 21.5”—all in Full HD with brightness up to 500 nits. These vivid, high-resolution touchscreens support multi-touch input for intuitive and responsive interaction, making them ideal for control panels and interactive kiosks.

  1. Ruggedised Design for Harsh Environments
Durability is at the core of the AIO-200-ASL-3L. Its IP65-rated front panel resists water and dust, while the fanless design ensures silent and reliable operation in harsh environments. This rugged design reduces maintenance needs, prolonging the device’s lifespan and reducing total cost of ownership.

  1. Comprehensive Connectivity Options
The system’s connectivity suite is tailored for modern industrial needs. It includes triple LAN ports, four USB 3.2 ports, and dual SIM slots for 4G/5G connectivity. This ensures seamless integration with industrial networks and IoT ecosystems. Additional support for Wi-Fi and Bluetooth provides wireless flexibility, while M.2 expansion slots allow for future scalability.

  1. Scalability and Adaptability
The AIO-200-ASL-3L Series offers unmatched scalability with M.2 slots for expanded storage, connectivity, or specialised hardware integration. Whether you need additional memory or custom components for niche applications, this series has you covered.
  1. Real-Time Data Processing and Graphics
The combination of DDR5 memory (up to 16GB) and triple display output makes the series ideal for applications requiring high-speed data handling and real-time monitoring. Advanced graphics support is particularly useful in video-intensive use cases, such as quality inspection or surveillance systems.

Benefits of the AIO-200-ASL-3L Series​

  1. Enhanced Productivity and Efficiency
By integrating powerful processors and high-speed memory, the AIO-200-ASL-3L Series delivers faster data processing and multitasking capabilities. These features allow operators to monitor, analyse, and control processes more efficiently.
  1. Future-Proof Design
The system’s modular architecture ensures adaptability for future technological advances. Its support for 4G/5G connectivity, M.2 expansion, and high-speed DDR5 memory ensures compatibility with emerging industrial standards and IoT protocols.
  1. Reliable Performance in Extreme Conditions
Thanks to its rugged build, the AIO-200-ASL-3L Series thrives in challenging environments, including manufacturing floors, outdoor installations, and mobile settings. The fanless design reduces the risk of mechanical failures, ensuring uninterrupted operations.
  1. Cost-Effective Long-Term Solution
The combination of robust hardware, low maintenance requirements, and energy-efficient performance makes this series a cost-effective investment for industries looking to optimise their operational expenses.
  1. Streamlined Wireless Connectivity for IoT
Built-in wireless capabilities such as Wi-Fi, Bluetooth, and dual SIM 4G/5G connectivity make the series an excellent IoT gateway. These features facilitate real-time data transfer, remote monitoring, and control in distributed systems.

Applications Across Industries​

  1. Industrial Automation
The AIO-200-ASL-3L Series plays a pivotal role in smart factories. Its real-time monitoring, control capabilities, and rugged design make it ideal for:
  • Supervisory Control and Data Acquisition (SCADA) systems.
  • Quality control using vision-based AI systems.
  • Predictive maintenance via IoT-enabled sensors.
  1. Retail and Hospitality
This series enhances customer experiences in retail and hospitality settings through:
  • Interactive kiosks for self-checkout and information.
  • Digital signage for targeted advertisements.
  • POS (Point of Sale) systems with high-speed processing.
  1. Healthcare
With advanced graphics and multi-display support, the AIO-200-ASL-3L Series meets the demanding needs of healthcare applications such as:
  • Patient monitoring systems.
  • Medical imaging and diagnostics.
  • Telemedicine solutions for remote consultations.
  1. Transportation and Logistics
The ruggedness and wireless capabilities make this series a reliable choice for transportation and logistics, including:
  • Fleet management systems.
  • Smart traffic monitoring and control.
  • GPS-based asset tracking and route optimisation.
  1. IoT and Smart Cities
The AIO-200-ASL-3L Series serves as an essential component in IoT-driven projects and smart city applications, such as:
  • Smart energy grids for monitoring and control.
  • Environmental monitoring systems.
  • Public kiosks for citizen engagement.
  1. Energy and Utilities
Designed for use in energy-intensive industries, this series aids in:
  • Renewable energy management (e.g., wind and solar farms).
  • Real-time data collection and analytics in power grids.
  • Remote operation of utility infrastructure.

Summary​

The AIO-200-ASL-3L Series redefines the possibilities of industrial computing, proving to be an indispensable asset for businesses aiming to stay ahead in a rapidly evolving technological landscape. Its integration of cutting-edge processing power, unparalleled connectivity options, and rugged durability ensures it can tackle the most demanding challenges across a wide range of industries.
From driving operational efficiency in smart factories to enhancing customer experiences in retail and hospitality, the versatility of this series is unmatched. It not only meets the needs of today but is also equipped to evolve with future innovations, ensuring a strong return on investment.
By seamlessly bridging the gap between traditional industrial processes and emerging technologies like IoT and AI, the AIO-200-ASL-3L Series empowers organisations to innovate, adapt, and excel in their respective fields. For businesses seeking a high-performance, scalable, and reliable solution, the AIO-200-ASL-3L Series stands as a cornerstone for growth, productivity, and success in the digital age.


They also def know of us as they wrote another article on neuromorphic not long ago and listed us as well.


Neuromorphic Computing: The New Frontier of AI and Computer Science Inspired by the Human Brain​


BrainChip Akida: BrainChip’s Akida chip is another innovation in neuromorphic computing, designed for real-time AI applications such as robotics, autonomous vehicles, and intelligent surveillance. Based on spiking neural network technology, Akida excels in energy efficiency and incremental learning, allowing systems to adapt continuously without complete retraining. This makes it particularly valuable in dynamic environments, such as self-driving cars and advanced robotics.
 
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New gaming with quantum
 

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7für7

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Why some people doesn’t share the link of The content they share? Is it more difficult than making screenshots, transforming them and post them?
 
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IMG_0210.jpeg


I think we know the priority of business for Yuya’s first day on deck !!!
 
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Morning fellow brners, happy Friday!
We should be receiving the top 20 shareholders notice today? I checked back on previous notices and quite a number of top 20 increased their shareholdings so will be interesting to compare when this one comes out. O to be a top 20...
Whatever our individual investments are we are part of this growing company and soon imo Brainchip will be thriving just like Arm, Nividia , Amazon and the rest of them that grew into giants
Feeling positive on the last day of January. Looking forward to seeing the Top 20 chart. Bring it on, boomidty boom boom


Has the list come out today?
 
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Frangipani

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About six months ago, I posted a video which showed that researchers at UC Irvine’s Cognitive Anteater Robotics Laboratory (CARL), led by Jeff Krichmar, had been experimenting with AKD1000 mounted on an E-Puck2 robot.

The April 2024 paper I linked to at the time (“An Integrated Toolbox for Creating Neuromorphic Edge Applications”), co-authored by Lars Niedermeier (Niedermeier Consulting, Zurich) and Jeff Krichmar (UC Irvine), did not yet contain a reference to Akida, but has recently been updated to a newer version (Accepted Manuscript online 22 January 2025). It now has heaps of references to AKD1000 and describes how it was used for visual object detection and classification.

Nikil Dutt, one of Jeff Krichmar’s colleagues at UC Irvine and also member of the CARL team, contributed to this Accepted Manuscript version as an additional co-author.



What caught my eye was that the researchers, who had used an AKD1000 PCIe Board (with an engineering sample chip) as part of their hardware stack, had already gotten their hands on an Akida M.2 form factor as well, even though BrainChip’s latest offering wasn’t officially revealed until January 8th at CES 2025:

“For productive deployments, the Raspberry Pi 5 19 Compute Module and Akida.M2 form factor were used.” (page 9)


Maybe thanks to Kristofor Carlson?




Here are some pages from the Accepted Manuscript version:


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We already knew from the April 2024 version of that paper that…



And finally, here’s a close-up of the photo on page 9:

View attachment 76555

Just an afterthought…

Academic research utilising Akida shouldn’t generally be underestimated or dismissed as mere playtime in an ivory tower.

Some of these researchers have excellent connections to big players in the industry and/or to government agencies and sometimes even prior work experience in relevant sectors themselves - hence their recommendations would likely be given quite a bit of weight.

Take Jeff Krichmar👆🏻for example, whose 27 page (!) CV can be found on his LinkedIn profile.


Krichmar’s first job after graduating with a Bachelor in Computer Science (and before going to grad school to pursue his Master’s) was that of a software engineer at Raytheon Corporation (now RTX), working on the PATRIOT surface-to-air missile system - a position, which also saw him become a consultant to the Japanese Self-Defense Forces from 1988-1989, while deployed to Mitsubishi Heavy Industries in Nagoya (which to this day is manufacturing PATRIOT missiles for domestic use under license from RTX and Lockheed Martin).


View attachment 76748


Over the years, he has received quite a bit of funding from the defence-related sector, mostly from the US government, but also from Northrop Grumman.

View attachment 76751

In 2015 he gave an invited talk at Northrop Grumman…

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… and he was co-author of a paper published in November 2016, whose first author, his then graduate student Tiffany Hwu, was a Basic Research Systems Engineer Intern with Northrop Grumman at the time. (“This work was supported by the National Science Foundation Award number 1302125 and Northrop Grumman Aerospace Systems.”)

The neuromorphic hardware used for the self-driving robot was unsurprisingly IBM’s TrueNorth, as this was then the only neuromorphic chip around - Loihi wasn’t announced until September 2017.

View attachment 76756

One of the paper’s other co-authors was a former postdoctoral student of Krichmar’s, Nicolas Oros, who had started working for BrainChip in December 2014 - on his LinkedIn profile it says he was in fact our company’s first employee! He is also listed as co-inventor of the Low power neuromorphic voice activation system and method patent alongside Peter van der Made and Mouna Elkhatib.

Nicolas Oros left BrainChip in February 2021 and is presently a Senior Product Manager at Aicadium, “leading the development of a computer vision SaaS product for visual inspection”. I don’t think we’ve ever looked into them? 🤔

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By the time of said paper’s publication, Jeff Krichmar had become a member of BrainChip’s Scientific Advisory Board - see this link of an April 2016 BRN presentation, courtesy of @uiux:


View attachment 76753

As mentioned before, Kristofor Carlson is another of Jeff Krichmar’s former postdoctoral students (from 2011-2015), who co-authored a number of research papers with Jeff Krichmar and Nikil Dutt (both UC Irvine) over the years - the last one published in 2019.

In September, Kris Carlson gave a presentation on TENNs at UC Irvine, as an invited speaker at SAB 2024: From Animals to Animats - 17th International Conference on the Simulation of Adaptive Behavior.

View attachment 76815

Kris Carlson’s September 2024 conference talk on TENNs and the CARL lab’s recent video and paper featuring an E-Puck2 robot, which had an Akida PCIe Board mounted on top, as well as the additional info contained in that 22 January 2025 paper that CARL researchers had already experimented with the brand new AKD1000 M.2 form factor is ample evidence that there is continued interest in what BrainChip is doing from Jeff Krichmar’s side.

Academic researchers like him could very well be door openers to people in charge of other entities’ research that will result in meaningful revenue one day…

The above paper 👆🏻 on CARLsim++ (which got implemented on Akida hardware in the researchers’ experiments) just got a lot more exposure thanks to LinkedIn posts by two of its co-authors…


4BC76BB9-A302-4400-9969-41B70327F09F.jpeg


… and further dissemination by others:


D14CD3FA-5A42-4903-9297-0E3BC10C6069.jpeg
 
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BrainShit

Regular
The above paper 👆🏻 on CARLsim++ (which got implemented on Akida hardware in the researchers’ experiments) just got a lot more exposure thanks to LinkedIn posts by two of its co-authors…


View attachment 77005

In addition the related paper:
1000068833.jpg


Source: https://iopscience.iop.org/article/10.1088/2634-4386/adad0f
 

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