BRN Discussion Ongoing

[AARONASX]

This is pretty cool when you consider it in terms of our existing relationship with Penn State. For example, Abhronil Sengupta is an Associate Professor at Penn State. He has also been involved in the cyber-neuro RT project, along with other authors from Quantum Ventura.

$1.23M NASA grant to support improving satellite weather forecasting with AI​

Penn State researchers will use a grant from NASA to improve atmosphere and ocean forecasts by incorporating AI and satellite data into current forecasting models. Credit: NASA. All Rights Reserved.
Expand
January 8, 2025
By Mary Fetzer

UNIVERSITY PARK, Pa. — A team led by a Penn State College of Information Sciences and Technology (IST) researcher received a two-year, $1.23 million grant from NASA to improve atmosphere and ocean forecasts by incorporating artificial intelligence (AI) and satellite data into current forecasting models.
“Typically, forecasts of the atmosphere and oceans require data assimilation — combining different sources of information about the weather to obtain a more accurate result,” said Romit Maulik, assistant professor in the College of IST. “However, that data assimilation can slow down the forecast time significantly. We plan to use computer vision to dramatically accelerate this process.”
Computer vision is a form of artificial intelligence that uses machine learning and neural networks to teach computers to understand and interpret visual information data and to learn from that data to improve their performance.
The research team — which includes Steven Greybush, associate professor of meteorology in the Penn State College of Earth and Mineral Sciences, and scientists from Argonne National Laboratory, NASA Goddard Space Flight Center, the National Oceanic and Atmospheric Administration and the University of Chicago — plans to introduce various sources of data, such as satellite images, to build on past weather forecasting that used transformer-based AI algorithms and machine learning models.
“The work will involve retraining some portions of our model to take these new datasets as inputs and improve predictions,” Maulik said. “Then, we will integrate these improved algorithms into the NASA Goddard Earth Observing System so it can rapidly incorporate satellite system observations into its operational data assimilation workflows.”
Maulik and Greybush are also co-hires of the Penn State Institute for Computational and Data Sciences.
Last Updated January 8, 2025

$1.23M NASA grant to support improving satellite weather forecasting with AI | Penn State University

A team led by a Penn State College of Information Sciences and Technology researcher received a $1.23 million grant from NASA to improve atmosphere and ocean forecasts by incorporating AI and satellite data into current forecasting models.

www.psu.edu

...and Penn State is a current university participants under Brainchip:

 

[7für7]

I would like to introduce the all new brainchip sneakers collaborated with Nike … for the upcoming run! Don’t miss the opportunity!

 

[RobjHunt]

I would like to introduce the all new brainchip sneakers collaborated with Nike … for the upcoming run! Don’t miss the opportunity!

View attachment 75874

Just missing the BrainChip logo somewhere, otherwise I’d be happy running alongside Bravo in them

 

[RobjHunt]

Just missing the BrainChip logo somewhere, otherwise I’d be happy running alongside Bravo in them

Maybe just below BrainChip on the top part of the tongue.

Pantene Peeps

 

[Diogenese]

...and Penn State is a current university participants under Brainchip:

View attachment 75873

With 8 unis involved, there could be well above 100 engineers a year emerging with Akida expertise and taking this unique skill to their new employers. The early graduates should be well sought after as the AI snowball gathers momentum.

 

[Diogenese]

Just missing the BrainChip logo somewhere, otherwise I’d be happy running alongside Bravo in them

They are keeping the spikes for the track shoes.

 

[Fullmoonfever]

Here is a presentation from the University of Virginia on a research project using Akida for a project called AGESCOPE an Age-Based Recommendation System. From what I can gather they used Akida to predict the age of people from images and found it to be extremely accurate. About 10 mins long and audio not the best.......

@TheDrooben

Further to your find on the project by the Uni of Virginia, below is some more info from GitHub which appears to be one and the same.

GitHub - hplp/ai-hardware-project-6501-group7: ai-hardware-project-6501-group7 created by GitHub Classroom

ai-hardware-project-6501-group7 created by GitHub Classroom - hplp/ai-hardware-project-6501-group7

github.com

Project Title​

Age-Based Recommendation System Using BrainChip Akida (Neuromorphic Architecture)

Project Description​

This project aims to develop an AI-powered age-based recommendation system leveraging BrainChip Akida, a neuromorphic processor designed for energy-efficient and hardware-optimized inference. The system uses age estimation from facial images as a key input to recommend personalized content, products, or services tailored to specific age groups.

Benefits​

Energy Efficiency: Neuromorphic inference with low power consumption.
Scalability: Adaptable across datasets and industries.
User Experience: Enhanced personalization through robust recommendations.

Conclusion​

This project successfully demonstrated the development of an age-based recommendation system by leveraging the BrainChip Akida neuromorphic processor. Through a structured approach combining deep learning, quantization, neuromorphic computing, and efficient deployment techniques, we achieved several key objectives:

Accurate Age Prediction:
By training and optimizing a VGG-based model on the UTKFace dataset, we developed a reliable age estimation system with high accuracy and low Mean Absolute Error (MAE). The use of data augmentation, hyperparameter optimization, and quantization further enhanced robustness and generalization across diverse demographics.

Energy-Efficient Inference:
The conversion of the quantized Keras model to the Akida format demonstrated the power and efficiency of neuromorphic computing. Akida's event-driven architecture achieved real-time, low-power inference while maintaining comparable accuracy to traditional AI models.

Seamless Model Conversion:
The integration of the CNN-to-SNN framework allowed for smooth conversion of traditional models to Akida-compatible spiking models, showcasing the practicality of deploying advanced neuromorphic solutions on edge devices.

Real-Time Edge Deployment:
By implementing the system on an edge device, we demonstrated its ability to perform real-time age predictions and generate personalized recommendations dynamically. This highlights the feasibility of deploying AI solutions in resource-constrained environments like IoT devices and embedded systems.

Scalability and Versatility:
The modular design and scalability of the system make it adaptable for various industries, including healthcare, retail, and entertainment. Future extensions could integrate additional features like emotion recognition or gender-based personalization for enhanced user experiences.

 

[manny100]

Hi Manny,

The point that you have raised is one I have pondered over as well, let's all be honest, the LDA deal came out of the blue, I quite frankly thought
we had finished with LDA, to close out the last deal, we even bought back the outstanding shares for around 0.03 each (from memory), whilst having access to, 140 Million AUD and to date only having drawn down 68 Million AUD it's obviously been a good avenue to funds, despite the selling off of shares and the dilution of shareholders holdings.

So, in my opinion, we are either going to do a wafer run, which goes against all the business changes that have recently taken place or we are
partnering up with a major player and need to pump in our agreed share ?

A deal involves more than one party, so I don't believe we are going solo, and our Board would have weighed up this recent LDA agreement
and come to the conclusion that whatever is going to be going down over the next few months is worth taking the risk...add to that thought,
Sean has stated some news around the Akida development would be shared over the coming months, so interesting times indeed.

Regards......Tech.

As we are cashed up prior to the LDA raise the very worst case scenario is that they are putting in place a safety net against a recession or AI crash that may be coming??
Worst case IMO is safety net.
We have circa 15.5% to 16.5% of SOI as inside holders.
They will ensure that BRN will remain 'safe'.
I think the LDA funding is more likely for something like a deal of some sort given that Sean and Tony V gave been madly accumulating within the rules.

 

[7für7]

Just missing the BrainChip logo somewhere, otherwise I’d be happy running alongside Bravo in them

Yes I wanted to but it somehow doesn’t seem to work

 

[Plebby]

As we are cashed up prior to the LDA raise the very worst case scenario is that they are putting in place a safety net against a recession or AI crash that may be coming??
Worst case IMO is safety net.
We have circa 15.5% to 16.5% of SOI as inside holders.
They will ensure that BRN will remain 'safe'.
I think the LDA funding is more likely for something like a deal of some sort given that Sean and Tony V gave been madly accumulating within the rules.

Hi Manny,

Just hoping you could shed some light on Sean + Tony’s accumulation? Where is that disclosed and what are the rules surrounding share purchase internally?

Cheers

 

[7für7]

Just missing the BrainChip logo somewhere, otherwise I’d be happy running alongside Bravo in them

This one is also nice … unfortunately again he was not willing to add the logo…

 

[Guzzi62]

From the other site:

BrainChip unveils “brain-inspired” AI gadget for real time AI processing​

by FutureCIO Editors

January 10, 2025


Edge AI on-chip processing and learning company BrainChip Holdings Ltd has launched a compact, portable computation device to accelerate AI processing for various sectors such as manufacturing, warehouse, retail, hospitals, energy, automotive, and aviation.


Named Akida Edge AI Box, it claims to mimic the brain's learning ability through event-based neural processing. This approach reduces the need for consistent cloud connectivity, enhancing data security and efficiency while lowering processing costs.


Dual Akida processors enable on-chip learning independent of the cloud, which powers the AI gadget. The design targets enhancing application security, reducing training overhead, and hastening learning.


In partnership with electronics innovation and manufacturing company VVDN Technologies, users can develop custom versions of the product with original equipment manufacturers (OEMs) for large-scale commercial applications.

Real world applications​

The Akida Edge AI Box is already being applied in various real-world scenarios such as edge AI model training and development, gesture recognition, climate forecasting, model evaluation, cybersecurity enhancement, and computer vision analysis.



“The Akida Edge Box is a great platform for running AI in standalone edge environments where footprint, cost and efficiency are critical while not compromising performance,” said Sean Hehir, BrainChip CEO.


Hehir expressed his excitement about rolling out even more use cases with other partners who seek to develop edge AI for their customers' specific use cases. He adds that the company looks forward to “the ideas these companies will bring to life with the Akida Edge AI Box.”

BrainChip unveils “brain-inspired” AI gadget for real time AI processing - FutureCIO

Named Akida Edge AI Box, it claims to mimic the brain's learning ability through event-based neural processing. T

futurecio.tech

 

[Pom down under]

Who was accumulating before Xmas?

 

[FiveBucks]

Who was accumulating before Xmas?

Fred

 

[HopalongPetrovski]

Who was accumulating before Xmas?

Pretty sure Davo was keen.
Think he got a tip from the Flotsey Mules.

 

[Pom down under]

Pretty sure Davo was keen.
Think he got a tip from the Flotsey Mules.

Does anyone know if it was retail FOMO or other?

 

[HopalongPetrovski]

Does anyone know if it was retail FOMO or other?

Dunno Pom.
There was a lot of speculation about expected announcements on all the channels so I recon some retail and perhaps even a bit of soph. FOMO was invoked.
We did wind up getting some good announcements but nothing that shot the share price into the stratosphere and now that CES has come and gone, some reallocation is to be expected I suppose.
I think we are now at the point where it will take a contract with some significant ongoing revenue to really get us moving.
Till then its back to the hurry up and wait.

 

[manny100]

Hi Manny,

Just hoping you could shed some light on Sean + Tony’s accumulation? Where is that disclosed and what are the rules surrounding share purchase internally?

Cheers

Hi Plebby, extract from earlier research on this topic.
Fact both Sean and ChaIrman Tony V took circa 81% plus of their real pay in equity in 2023. See the Annual report. Likely similar result in 2024.
They do via conversion of RSU's which avoid insider trading regulations. Smart way to incentivize employees and build insider holdings.
Fact both Sean and Tony V are net accumulating and hold enough to put them in the top 50 holders. See recent Director's notices.
Fact. Sean has 6 million RSU's which he can elect to take over time instead of cash pay. If he keeps taking equity instead of cash pay he will end up in the top 20.
Fact 15.5% - to 16.6% of SOI are held by insiders. See Yahoo Finance and Simply WS.
Assumption: Sean, Tony and insiders know a lot more about what is to come with BRN than holders and posters.
On top of the above Insiders hold enough to block any unwelcome takeover offers.
Sean hinted on further positive news to come on a recent podcast. Not sure how big the deals will be. Hopefully Tata sign up some time this year as that could be a profitable overnight deal.
Recent Frontgrade and USAF deals give confidence as does our new partners with our Edge Box.
Connection with RTX a huge defense supplier. Bascom Hunter.........................................All adding up.

 

[SERA2g]

Hi Plebby, extract from earlier research on this topic.
Fact both Sean and ChaIrman Tony V took circa 81% plus of their real pay in equity in 2023. See the Annual report. Likely similar result in 2024.
They do via conversion of RSU's which avoid insider trading regulations. Smart way to incentivize employees and build insider holdings.
Fact both Sean and Tony V are net accumulating and hold enough to put them in the top 50 holders. See recent Director's notices.
Fact. Sean has 6 million RSU's which he can elect to take over time instead of cash pay. If he keeps taking equity instead of cash pay he will end up in the top 20.
Fact 15.5% - to 16.6% of SOI are held by insiders. See Yahoo Finance and Simply WS.
Assumption: Sean, Tony and insiders know a lot more about what is to come with BRN than holders and posters.
On top of the above Insiders hold enough to block any unwelcome takeover offers.
Sean hinted on further positive news to come on a recent podcast. Not sure how big the deals will be. Hopefully Tata sign up some time this year as that could be a profitable overnight deal.
Recent Frontgrade and USAF deals give confidence as does our new partners with our Edge Box.
Connection with RTX a huge defense supplier. Bascom Hunter.........................................All adding up.

Hi Manny

I think you are taking a very rose-coloured glasses approach to the way that RSU's work.

Don't quote me on this as I have not looked at the remuneration reports from the latest set of accounts for some time, but Sean's salary is circa gross $400K. On top of this, Sean is eligible to receive performance shares which are issued on meeting KPI's.

We are not provided information surrounding the KPI's that need to be met. Some KPI's might be walk ups such as 'attend all 12 monthly meetings', others will be 'expand ecosystem by x% or 'generate net sales of $500m'.

Some KPI's will be met, some will not. The restricted shares are issued upfront and then ordinary shares are awarded upon KPI's being met, or cancelled at the conclusion of the KPI period set by the board.

You've previously posted the narrative that Sean is accumulating because he is selling 'some' of his shares to cover tax obligations, but not all of them.

Sean's shares are issued to him for FREE. $0. Nothing. He then has to pay tax on the discount (full value of the shares at date of issue). I therefore understand why directors then sell some of those shares to fund their tax obligations.

It is a big reach to then argue Sean is accumulating because his shareholdings have increased.

Sean has no skin in the game with respect to the performance share's he's issued. He isn't buying $50K shares on market like we would have to. He has received them for FREE. He then sells $10K worth of shares to cover an upcoming $10K tax liability in relation to those shares. Ergo, Sean has FREE-CARRIED $40K worth of shares. With tax having been paid by share sales, he's literally out of pocket $0 for the remaining shares.

If he received $50K worth of shares for FREE and then paid the corresponding tax liability from his own cash, it would be fair to argue that he has $10K skin in the game. This simply is not the case. Sean and the other directors always sell shares to cover the tax liability.

As far as I'm aware, Pia is the only director to have purchased shares on market in the last few years.

All of the above aside, we want to attract top talent and it would be fair to say that US based CEO's of tech company's would receive significantly more than $400K for their role, so I do understand the need to include performance shares in the overall salary package. This works well for shareholders as the directors have a long term incentive to increase the value of the company and therefore shareholders capital.

The one painful point for people like Sean is that shareholders tend to jump on them when they sell shares to cover tax, however, there's no announcement when a director chooses not to sell shares and personally wears the tax, leaving the decision a thankless one.

 

[Fullmoonfever]

Does anyone know if it was retail FOMO or other?

Hi Pom,

This is from the other site courtesy of a poster by the name of DimDim.


BRN Broker Data Analysis

First, let me give you a bit of perspective over the year to see where we are now. The yellow line shows the trend of share accumulation by 4 retail brokers combined. As you can see, about 100M shares were accumulated by retail brokers over the year.

Top sellers and their accumulation/distribution trends:
- FinClear Execution
- Bridges
- Barrenjoey

Now, let's have a closer look at broker data since October.
Top buyers:

Top sellers:

Retail broker accumulation on the chart:

What's interesting here is that selling by retail brokers started from Dec 23. This means that pro brokers pushed the price up. Very nice pattern, especially combined with the break of the fallen trendline.

Who pushed the price up:
- Goldman Sachs
- Macquarie Securities
- Morrison

Interesting development. Looks positive. Going to keep an eye on it.