BRN Discussion Ongoing

[TheDrooben]

Evening Chippers ,

One is speechless ,

Greatly looking foward to May .

Those in our bridge needs help ... pronto.



Great tech , Absolute Shite exicution.

Still holding a monza.

Regards,
Esq.

Yep I hear ya @Esq.111 it's getting hard to hold the line but still holding strong here and never sold. Larry has one more parcel to buy to round out his lot then I will sit back until May and vote accordingly. You can blame Larry for today as I bought some yesterday.......tick tock Sean.....Noted

Larry

 

[jrp173]

Looking forward to the quarterly report and folks out there you'll be on the same page with me after it

I'm already on the same page as you and have been for a long time....No need for us to worry about the 4C considering it is from the previous quarter... so unless BRN have had some magical sales or deals that they haven't bothered to disclose to shareholders, I'm not expecting anything!

I really hope shareholders start to wake up to what's going on here...

Let's not forget this year, Sean gets 50% of his bonus even if he achieves 0% of his bookings target. What public company in their right mind would seriously reward people like this... oh yeh, BrainChip...

Wouldn't it be great to have a job where you get 50% of your bonus even if you achieve SFA.......

 

[Space Cadet]

Think Haila maybe one of our near term opportunities.

https://www.haila.io/post/connected...e' in Edge,for personal data privacy breaches

SC

 

[Pom down under]

You’ll need to scroll down to

4.5.3 Neuromorphic platforms​

Frontiers | Efficient and real-time perception: a survey on end-to-end event-based object detection in autonomous driving

Autonomous driving has the potential to enhance driving comfort and accessibility, reduce accidents, and improve road safety, with vision sensors playing a k...

www.frontiersin.org

 

[Jacob Kiraz]

I'm already on the same page as you and have been for a long time....No need for us to worry about the 4C considering it is from the previous quarter... so unless BRN have had some magical sales or deals that they haven't bothered to disclose to shareholders, I'm not expecting anything!

I really hope shareholders start to wake up to what's going on here...

Let's not forget this year, Sean gets 50% of his bonus even if he achieves 0% of his bookings target. What public company in their right mind would seriously reward people like this... oh yeh, BrainChip...

Wouldn't it be great to have a job where you get 50% of your bonus even if you achieve SFA.......

Wow wheres Tech answering this question ,fence sitter, sean will get 50 % for zero results, the bloke thus far hasnt delivered, come AGM Time he'll say something else that will get us engaged,, not me im not taking it until results are on the board

 

[Guzzi62]

Wow wheres Tech answering this question ,fence sitter, sean will get 50 % for zero results, the bloke thus far hasnt delivered, come AGM Time he'll say something else that will get us engaged,, not me im not taking it until results are on the board

LOL, and what can you do as a shareholder??

Suck it up or sell, that's what you can do sport!

You can't do sxxx other than posting one negative post after the other, and if you thinks that will make a difference, you are mistaken.

 

[FJ-215]

In Paul, I trust.

Still loving Paul....

(love the man).....

Hmmm..... because love never runs??????????????

 

[7für7]

Because life is more than just a stock

 

[Bravo]

Because life is more than just a stock

What about this classic?...
I Still Haven't Found What I'm Looking For – REVENUE!!!!!!

 

[7für7]

What about this classic?...
I Still Haven't Found What I'm Looking For – REVENUE!!!!!!

Bet me HaHaHa

 

[miaeffect]

What about this classic?...
I Still Haven't Found What I'm Looking For – REVENUE!!!!!!

There you go B, Only genuine holders can see

 

[Diogenese]

What about this classic?...
I Still Haven't Found What I'm Looking For – REVENUE!!!!!!

https://www.bing.com/videos/rivervi...EF805EE396F828B85A44EF805EE396F828&ajaxhist=0

 

[Calsco]

Managed to find myself in New Delhi of all places and stumbled upon their national day parade. I took note of this float they had made to partake in the convoy of approx 75 floats. Didn’t happen upon any Brainchip floats though haha XD

 

[Jacob Kiraz]

LOL, and what can you do as a shareholder??

Suck it up or sell, that's what you can do sport!

You can't do sxxx other than posting one negative post after the other, and if you thinks that will make a difference, you are mistaken.

Just reporting the facts mate, tell me where im lying, Shareholders arent apprecisted,
Im not making the calls Mr Heir is, and its Fluff

 

[HopalongPetrovski]

The entity/'s which control (or certainly influence) our share price, are apparently timing their current run to coincide with the release of the impending quarterly report.
Their manipulated FUDster's, both here and on the crapper, seem to be endeavouring to create a panicked sell off, coinciding with another tree shake/push down.
Over the past couple of years they have managed to get it down to 15.5 cents for a brief period in September 2024 and again most recently in December 2025.
They had previously managed a low of 14.5 cents, back in October 2023.

Shorting our stock has proven to be an enormously profitable strategy for them, unfortunately for those of us who believe in the promise of our technology.
Railing against it has proved futile, as has, (in my opinion) engaging in continuous agitation against remorselessly negative proponents.
They just wind up perverting the logic presented, turning whatever arguments used against them, back on the originator.

The tide of published opinion does seem to be gradually turning our way however, with more and more reports supporting the thematic of both the advantage and actuality of AI gradually expanding out from the data centres and populating the edge.
PVDM was talking about this and our advantages in regard power consumption, latency, inference and security, years ago, before it became either mainstream or popular to do so.
The development of hybridised systems now seem both certain and inevitable and we are getting glimpses of early take-up in the pioneering fields of both space and military endeavours where cutting edge technology has traditionally been proven out, before more widely used applications are mass adapted and adopted.

As share holders, each of us must decide which course of action is both best and perhaps indeed feasible, given our individual circumstances.

Whilst the time taken to get to here is trying both mine and others patience, I still abhor the thought of tripping at the last hurdle,
and then living the rest of my life in a fever dream, of what might have been.

Good luck to us all, and hope to see you on the other side.
It's been a trip.

 

[itsol4605]

I bought more shares at a good price and now have 290,000 shares.

 

[DK6161]

I bought more shares at a good price and now have 290,000 shares.

I would be selling now and wait until after the next capital raise and after LDA selling.

Not advice, just a thought.

 

[Frangipani]

Looks like someone working on a project(s) using TENNs for EEG, Vision, Object and LLM / KWS.

The possible author imo is from Kherson Uni but happy to be corrected as not done heaps of digging.

https://ua.linkedin.com/in/michael-lyubchenko-66077322?trk=people-guest_people_search-card

GitHub - mlyu2010/Model-Compilation: This project focuses on evaluating Apache TVM and OpenXLA as ML compilers for deploying two BrainChip's Akida TENNs models (a Large Language Model and a Keyword Spotting Model) across x86 and ARM processors. The

This project focuses on evaluating Apache TVM and OpenXLA as ML compilers for deploying two BrainChip's Akida TENNs models (a Large Language Model and a Keyword Spotting Model) across x86 and...

github.com

GitHub - mlyu2010/EEG-Edge-Model: Develop, create train and quantize a comprehensive AI models based on TENN (Temporal Event-based neural networks or State Space Recurrent Models) using 2D images and 1D convolutions that are optimized on BrainChip’s

Develop, create train and quantize a comprehensive AI models based on TENN (Temporal Event-based neural networks or State Space Recurrent Models) using 2D images and 1D convolutions that are optimi...

github.com

mlyu2010/EEG-Edge-ModelPublic

Develop, create train and quantize a comprehensive AI models based on TENN (Temporal Event-based neural networks or State Space Recurrent Models) using 2D images and 1D convolutions that are optimized on BrainChip’s Akida SDK. This will create advance AI TENN models that can be deployed on the Akida platform for real-time inference.

Dependencies​

1. Docker
2. Docker Compose
3. Python 3.12+

Hardware Acceleration Support​

This project supports multiple compute devices for training and inference:

• CUDA - NVIDIA GPU acceleration (Linux/Windows)
• MPS - Apple Silicon GPU acceleration (macOS with M1/M2/M3 chips)
• CPU - Fallback for systems without GPU

Device selection is automatic by default but can be configured manually.

Description​

• Create a Vision model for object detection and classification.
• Create a segmentations model for semantic segmentation.
• Create 1D time series models for EEG or other healthcare use cases
• Create 1D time series for anomaly detection
• Set up development environments for the TENN models and the Akida SDK.
• Create a Docker image for the TENN models and the Akida SDK.
• Create a Docker Compose file for the TENN models and the Akida SDK.
• Create a FastAPI application for the TENN models and the Akida SDK.
• Create unit and integration tests for the TENN models and the Akida SDK.
• Create a script for generating HTML documentation for the TENN models and the Akida SDK.
• Create a hardware setup, configuration, testing environment and troubleshooting for the TENN models and the Akida SDK.
• Train and quantize a PyTorch model using the TENN codebase.
• Export both PyTorch models to ONNX or TorchScript for cross-framework compatibility.
• Implement TVM compilation pipeline for the models.
• Optimize using auto-scheduling and quantization tools.
• Train the TENN models for efficient and constrained edge use cases
• Generate binaries for x86 and ARM targets (e.g., Raspberry Pi).
• Test on multiple devices and compare metrics: Inference Latency, Memory Usage, Cross-Platform Consistency
• Create reproducible scripts for both workflows.
• Draft a performance analysis report with recommendations.

Features​

• FastAPI Framework: Modern, fast Python web framework
• Docker Support: Full Docker and docker-compose setup
• Comprehensive Tests: Unit and integration tests included
• API Documentation and Testing via Web UI: http://localhost:8000/docs
• Production and Development Environments: 'docker-compose.yml' and 'docker-compose.prod.yml' files included

Installation​

Using Docker (Recommended)​

docker-compose down
docker-compose build --no-cache
docker-compose up -d
docker-compose logs -f edge-models

Access the API at: http://localhost:8000/docs

Local Installation​

# Create virtual environment
python3.12 -m venv .venv
source .venv/bin/activate

# Install dependencies
pip install --upgrade pip
pip install -r requirements.txt

# Run application
uvicorn app.main:app --reload

Device Support:

• Auto-detect: --device auto (default - automatically selects best available)
• Apple Silicon: --device mps (M1/M2/M3 Macs)
• NVIDIA GPU: --device cuda (requires CUDA toolkit)
• CPU: --device cpu (all platforms)

Note: See INSTALL_NOTES.md for detailed installation instructions and troubleshooting.

And.....

This project focuses on evaluating Apache TVM and OpenXLA as ML compilers for deploying two BrainChip's Akida TENNs models (a Large Language Model and a Keyword Spotting Model) across x86 and ARM processors. The project implements optimized workflows for both frameworks, analyze performance metrics, and document best practices for deployment.

Dependencies​

1. Docker
2. Docker Compose
3. Python 3.13

Description​

• Set up development environments for TVM (using Hugging Face integration) and XLA (via PyTorch/XLA).
• Export both PyTorch models to ONNX or TorchScript for cross-framework compatibility.
• Implement TVM and OpenXLA compilation pipelines for both models.
• Optimize using auto-scheduling and quantization tools.
• Generate binaries for x86 and ARM targets (e.g., Raspberry Pi).
• Test on multiple devices and compare metrics: Inference Latency, Memory Usage, Cross-Platform Consistency
• Create reproducible scripts for both workflows.
• Draft a performance analysis report with recommendations.

Features​

• FastAPI Framework: Modern, fast Python web framework
• Docker Support: Full Docker and docker-compose setup
• Comprehensive Tests: Unit and integration tests included
• API Documentation and Testing via Web UI: http://localhost:8000/docs
• Production and Development Environments: 'docker-compose.yml' and 'docker-compose.prod.yml' files included

Installation​

docker-compose down docker-compose build --no-cache docker-compose up -d docker-compose logs -f model-compilation

Hi Fullmoonfever,

I’m afraid you’ve got the wrong gentleman.

Check out my 7 January post about Michael Liubchenko (AI/ML CyberSec Advisor for The Spartan AI) and his visit to the CES 2026 BrainChip suite:

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-480369

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Michael Liubchenko has a M.Sc. in Computer Science from Kharkiv National University of Radio Electronics, Ukraine, but lives in the US now.

As you can tell from his LinkedIn profile, he is definitely the person behind the GitHub account you’ve discovered:

https://www.linkedin.com/in/michael-liubchenko-7887573/

View attachment 94600
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The Spartan AI

We're launching The Spartan AI Model Router Platform in Q2 2025.

thespartan.ai

Home - Secured & Private AI Networks

spartanshield.ai

View attachment 94605

About Us - Secured & Private AI Networks

spartanshield.ai

Our Products​

SpartanShield is a trend setter in:
Private AI Networks

Spartan SecAI Platform – Makes Private AI a reality by automatical provisioning LLMs to personal and business endpoints locally – phones, laptops, servers. Allows to own your AI Knowledge and not sharing anything with Cloud.

---

In recent months, Michael Liubchenko has done quite a bit of contract work for various companies, among them Defense Tek Intelligence aka DefenseTek.AI, which has strong connections to Ukraine and is also partnered with The Spartan AI. He worked for them as an AI/ML CyberSec Advisor from July 2025 to December 2025:

LinkedIn Login, Sign in | LinkedIn

Login to LinkedIn to keep in touch with people you know, share ideas, and build your career.

www.linkedin.com

View attachment 94597

DefenseTek

Innovative solutions for C-UAS and UAS operations

defensetek.ai

View attachment 94603
View attachment 94606

#github #repository #multiagent #agenticai #workflow #decisionmaking #smalllanguagemodels #slms #cnn #rnn #tenns #autonomous #uav #uas #cuas #antidrone #management #platforms | Michael Liubchenko

Some updates in my Github repos: 1️⃣ Agentic API performance measurements. 🎯 Agentic AI performance comparison for Java, Python, Go, Rust implementations. 2️⃣ Model Compilers. 🎯 This project focuses on evaluating Apache TVM and OpenXLA as ML compilers for deploying two TENNs models (a Large...

www.linkedin.com

I hope Michael Liubchenko means “decent” rather than “descent”, though…

 

[7für7]

4C

https://cdn-api.markitdigital.com/apiman-gateway/ASX/asx-research/1.0/file/2924-03050139-2A1650224&v=undefined

 

[HopalongPetrovski]

Operations Update
On the 23 October 2025, BrainChip announced a strategic partnership with Blue Ridge Envisioneering (BRE), a Parsons company (NYSE: PSN). BRE is a Virginia-based innovator delivering next-generation solutions to the defence and intelligence sectors.
The terms of the agreement include an initial order of 10,000 chips, supporting the deployment of edge-AI systems that maintain full performance without cloud connectivity. Parsons will integrate BrainChip’s AkidaTM neuromorphic processors into its mission-ready platforms to enhance adaptive performance in constrained and dynamic defence environments. The agreed supply framework with Parsons includes committed volumes for manufacturing scale, continuity-of-supply provisions, and tiered pricing for high-volume deployment.
The engagement will leverage Akida’s industry-leading low-power, real-time inference and on- device learning capabilities to deliver intelligent tactical solutions at the edge. It formalizes a multi- year collaboration, granting Parsons access to the AKD1500 processor. Parsons will use BrainChip’s AI Enablement Package and benefit from supply continuity and support services.
The integration of Akida allows Parsons to deploy AI that performs under the most austere conditions with advanced signal analysis, adaptive architecture, and sovereign defence use cases.
On 4 November 2025, BrainChip announced the commencement of volume production of the AKD1500, its neuromorphic Edge AI accelerator co-processor chip, at Embedded World North America.
Designed to deliver exceptional performance with minimal power consumption, the AKD1500 achieves 800 giga operations per second (GOPS) while operating under 300 milliwatts, setting a new benchmark for edge AI efficiency. This makes AKD1500 ideal for deployment in battery powered wearables, smart sensors, and heat-constrained environments where battery life and thermal limits are critical.
The AKD1500 integrates seamlessly with x86, ARM, and RISC-V host microcontrollers and multiprocessor (MPUs) chips via PCIe or Quad SPI serial interfaces, supporting broad market adoption across a wide range of applications. The AKD1500 co-processor approach is ideal for a wide range of environments and industries, upgrading multi-processor SoCs within defence, industrial and enterprise settings, and upgrading embedded microcontrollers for AI solutions in healthcare, wearables, and consumer electronics without a complete system redesign.
The AKD1500 product has been designed into several customer solutions in AI enabled sensing for medical and defence related applications, including Parsons, Bascom Hunter and Onsor Technologies.
The AKD1500 is supported by BrainChip’s MetaTFTM software development tools environment, enabling easy model conversion, quantisation, compilation and deployment using standard TensorFlow/KERAS formats. BrainChip’s event-based AkidaTM neuromorphic architecture also enables the AKD1500 to provide on-chip learning, a critical differentiator from conventional AI accelerators that rely solely on cloud-based training.
On 12 December 2025, BrainChip received an initial order for 1,200 AKD1500 chips from Nex Novus for use in its NeuromorphyxTM “Neuro Blocks” product. The AKD1500 will accelerate an MCU supporting neuromorphic evaluation of multi-sensor data. While the order size is minor, it represents further market demand for the AKD1500.
AKD1500 samples are available today with volume production scheduled for Q3’26.