BRN Discussion Ongoing

Was watching CNA news channel out of Singapore yesterday and they were talking about how the Singapore Gov want to push Singapore to become an AI hub so I had a skim around possible Singapore mentions of Akida.

Found this 2025 project at the Nanyang Technological Uni using the below, which I would presume is ours?

Can find no further details yet other than the abstract.

@Diogenese ?


Enhancing logic FET based physical reservoir computing using insights from TENNs-PLEIADES and AlexNet+LSTM models​

Author(s)
Ho, Xin Zhong


Date Issued
2025

Abstract
In the field of neuromorphic computing, gesture recognition using event-based data has grown in importance. Logic Field-Effect Transistor (FET) Based Physical Reservoir Computing (PRC) is a novel approach that merges software-based classifiers with hardware. In this project, two cutting-edge models, TENNs-PLEIADES and AlexNet+LSTM are studied to see how their techniques might improve the Logic FET Based PRC. Through an analysis of variations in design, data preprocessing, temporal handling, and model performance, this project proposed hybrid approaches to improve the precision of the Logic FET Based PRC model.

URI
https://hdl.handle.net/10356/200307


School
School of Electrical and Electronic Engineering


Degree
Bachelor's degree



Subjects
Engineering
 
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Diogenese

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Interesting

The "no-charge" future is officially in production. China’s Betavolt has started mass-producing the world’s first coin-sized nuclear battery. Using nickel-63 and diamond semiconductors, the BV100 provides 50 years of continuous power without a single charge. It’s fireproof, radiation-safe, and eventually decays into harmless copper. While it’s currently designed for sensors and medical implants (imagine a pacemaker that never needs a second surgery!), the 1-watt version arriving this year is the first step toward a world where your devices outlive you.
But they can't bury you if your heart's still beating ...
 
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HopalongPetrovski

I'm Spartacus!
But they can't bury you if your heart's still beating ...

BrainChip share holders trying to claw their way through to revenue. 🤣

 
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Sean when shareholders ask him what he is doing for almost 5 years

Tonito Just Hanging Around GIF
I don’t know but he was caught on cctv the other day. I’m guessing he just failed in getting his 1st signed contract again.

1769918903352.gif
 
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manny100

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Anyway if anyone from Brainchip is reading this can you hold off making any price sensitive announcements worth more than a few thousand $ until maybe Tuesday or Wednesday as I ain’t got my super funds yet 😂
 
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Doz

Regular
Talk about morphic resonance. I just posted about the change from a packet-switched mesh to a silicon-switched mesh in Akida 3, and here's JT talking about the packet overhead. The navigation/timing data takes many more bits than the spike information ... and that means power and time. So Akida 3 is much more efficient than Akida 2.


Dodgy , also add this to your collection of one day I might need to take into consideration ,


1769922226074.png



Which binned do you think Olivier is referring to ?

1769922394843.png


Breaking News Flash .
Note : Developed TeNN’s back in 2022 . Market informed when AKD2.0 was announced , March 2023 .

.
 
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Dodgy , also add this to your collection of one day I might need to take into consideration ,


View attachment 94776


Which binned do you think Olivier is referring to ?

View attachment 94777

Suggest the below...

Binned implementation, or data binning, is a pre-processing technique used in data science, machine learning, and simulations to group continuous, numerical data into discrete intervals (bins). This approach reduces the effects of minor observation errors and simplifies data analysis by replacing raw data points with their corresponding bin indices or averages.
Common Binned Implementations & Use Cases
  • Machine Learning (Preprocessing): Discretizing numerical features using methods like equal-width (dividing range into equal sizes) or frequency binning (assigning similar number of values to each bin) to handle outliers or improve model robustness.
  • Self-Supervised Learning (SSL): Reconstructing bin indices rather than raw values as a pretext task to enhance representation learning in tabular domains.
  • Statistical Analysis: Computing binned Kernel Density Estimation (KDE) to estimate proper motions in astronomy.
  • Sensitivity Analysis (Dakota): Using binned approaches to compute Sobol' main effect indices without needing a specific sampling structure.
  • Physical Modeling: Implementing binned collision-coalescence models in meteorology to better simulate cloud droplet growth compared to bulk methods.
 
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Terroni2105

Founding Member
This is going to be cool to watch play out.

https://theaigrandprix.com


Andurill Industries
Today we’re announcing the AI Grand Prix. The fully autonomous drone racing competition inviting the boldest engineers from around the globe to compete for $500,000 and a job at Anduril.

No human pilots.
No hardware mods.
Identical Neros Tech drones.
Software is the only path to victory.

If you win, it’s because your autonomy stack is better. Full stop.
Season 1 kicks off this spring, leading up to the AI Grand Prix Ohio.




There is no link for the competition to BrainChip And the drones will be built by Neros Technologies.
“Neros Technologies (neros.tech) is a relatively new U.S.-based defense tech startup founded in 2023, specializing in manufacturing high-performance, attritable unmanned aerial systems (drones/FPV drones) for military use. It's focused on onshoring production, NDAA-compliant systems, electronic warfare resilience (e.g., fiber-optic variants like Archer Fiber), and battlefield-tested tech (including deployments in Ukraine). ”


Perhaps a player in the competition will use BrainChip software?
 
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Doz

Regular
Suggest the below...

Binned implementation, or data binning, is a pre-processing technique used in data science, machine learning, and simulations to group continuous, numerical data into discrete intervals (bins). This approach reduces the effects of minor observation errors and simplifies data analysis by replacing raw data points with their corresponding bin indices or averages.
Common Binned Implementations & Use Cases
  • Machine Learning (Preprocessing): Discretizing numerical features using methods like equal-width (dividing range into equal sizes) or frequency binning (assigning similar number of values to each bin) to handle outliers or improve model robustness.
  • Self-Supervised Learning (SSL): Reconstructing bin indices rather than raw values as a pretext task to enhance representation learning in tabular domains.
  • Statistical Analysis: Computing binned Kernel Density Estimation (KDE) to estimate proper motions in astronomy.
  • Sensitivity Analysis (Dakota): Using binned approaches to compute Sobol' main effect indices without needing a specific sampling structure.
  • Physical Modeling: Implementing binned collision-coalescence models in meteorology to better simulate cloud droplet growth compared to bulk methods.

So , what you’re thinking is it doesn’t include any alcohol !

Party pooper .
 
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miaeffect

Oat latte lover
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HopalongPetrovski

I'm Spartacus!
This is going to be cool to watch play out.

https://theaigrandprix.com


Andurill Industries
Today we’re announcing the AI Grand Prix. The fully autonomous drone racing competition inviting the boldest engineers from around the globe to compete for $500,000 and a job at Anduril.

No human pilots.
No hardware mods.
Identical Neros Tech drones.
Software is the only path to victory.

If you win, it’s because your autonomy stack is better. Full stop.
Season 1 kicks off this spring, leading up to the AI Grand Prix Ohio.




There is no link for the competition to BrainChip And the drones will be built by Neros Technologies.
“Neros Technologies (neros.tech) is a relatively new U.S.-based defense tech startup founded in 2023, specializing in manufacturing high-performance, attritable unmanned aerial systems (drones/FPV drones) for military use. It's focused on onshoring production, NDAA-compliant systems, electronic warfare resilience (e.g., fiber-optic variants like Archer Fiber), and battlefield-tested tech (including deployments in Ukraine). ”


Perhaps a player in the competition will use BrainChip software?
Pity its limited to software efficiency only.
Would be perhaps more interesting for us if we were allowed to pit our hardware against say NVU's and others in a free for all to see just who is the real king of the hill. Reminds me of the aero speed trials just before the second world war.

Supermarine_S.6B_ExCC
 
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Boab

I wish I could paint like Vincent
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manny100

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Please read for comments, here's a couple.

View attachment 94766 View attachment 94767
Jan D asking personal work questions. She must think she is on a dating site or the crapper.
Doubt Kevin would play with his employers Brand publicly without it being part of his role.
 
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7für7

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Jan D asking personal work questions. She must think she is on a dating site or the crapper.
As I mentioned… not only “amateur mathematician”
 
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Drewski

Regular
Market Validation and Expansion: Partnering with a NYSE-listed giant like Parsons validates BrainChip's tech, potentially opening doors to more deals in defense (e.g., similar to its Raytheon collaboration for radar).f05d8a It aligns with BrainChip's shift to "sovereign AI" for secure, edge-based intelligence, tapping into growing U.S. defense budgets for AI.6aa7f5 Investor discussions highlight optimism that Parsons (alongside Onsor) could drive profitability by Q3 2026 or earlier, depending on product rollout.49061b


We need hope people! It has been a long tough ride!!
 
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CHIPS

Regular
Remember Jonathan Tapson going to Washington?

 
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