BRN Discussion Ongoing

[HopalongPetrovski]

But they can't bury you if your heart's still beating ...

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

 

[Pom down under]

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

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.

 

[manny100]

I don’t think they intend to use Loihi research chips ……

View attachment 94752

Quarterly report ….. 10,000 , such an odd even number .

View attachment 94753

Clicked on the Darpa link ,

View attachment 94754

Thanks Doz, a couple of really good posts.

 

[Pom down under]

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

 

[Doz]

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 ,

Which binned do you think Olivier is referring to ?

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

.

 

[Fullmoonfever]

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.

 

[Terroni2105]

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?

 

[Doz]

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 .

 

[miaeffect]

But they can't bury you if your heart's still beating ...

So now it's becoming a reality soon

 

[HopalongPetrovski]

View attachment 94778
So now it's becoming a reality soon

Is this a clip from a movie?
Anyone know the title?

 

[HopalongPetrovski]

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.

 

[Boab]

View attachment 94778
So now it's becoming a reality soon

I believe that is from the second movie of The Kingsmen.

Edit. It's the first movie

 

[MegaportX]

IBM Spectrum Symphony + z/OS: When Proven COBOL Meets Modern AI

community.ibm.com

 

[manny100]

Sign Up | LinkedIn

500 million+ members | Manage your professional identity. Build and engage with your professional network. Access knowledge, insights and opportunities.

www.linkedin.com

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.

 

[Deleted member 3781]

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”

 

[miaeffect]

Is this a clip from a movie?
Anyone know the title?

Kingsman

 

[Drewski]

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!!

 

[CHIPS]

Remember Jonathan Tapson going to Washington?

BrainChip hiring US Sales Manager in Washington, DC | LinkedIn

Posted 7:56:40 PM. The Sales Manager/Director will spearhead the sales initiatives of BrainChip Inc. in the US…See this and similar jobs on LinkedIn.

www.linkedin.com

 

[perceptron]

So to clarify one last time, I am not asking what it costs BrainChip to manufacture the chips, nor am I asking for a margin analysis.

I am pointing out that we cannot determine the revenue from these orders because the announcement states customers will be charged anywhere between $4 and $50 per chip, depending on volume.

What the announcement does not disclose however, is where on that sliding scale these orders actually sit.

Specifically, 1) what volume qualifies as a high volume order 2) at what quantity does pricing move from $50 to $10 to $4? 3) where does an order of 10,000 units or 1,200 units fall on that curve?

Without that information, revenue could be materially different under perfectly reasonable interpretations.

To illustrate by way of demonstration only:

• If BrainChip considers anything above 5,000 units to be a volume order, then 11,200 units could be priced at $4, generating roughly $45k in revenue.
• If instead “volume” means anything exceeding 50,000 units, then the same 11,200 units could be priced far higher — say $20–$30 per chip, resulting in $224k–$336k of revenue.

My point is that until the company clarifies how the volume pricing tiers actually work, any attempt to calculate revenue from these orders is pure guesswork.

So you have worked out the revenue for the foundry that makes the chips and say it is impossible to know the actual price to end customer based on the fact that the price to customer is not known? Because what manufacturer would only charge the variable costs to produce an item?

 

[Boab]

So you have worked out the revenue for the foundry that makes the chips and say it is impossible to know the actual price to end customer based on the fact that the price to customer is not known? Because what manufacturer would only charge the variable costs to produce an item?

The more you ask to be produced the less the cost per unit.
The more you ask to buy the less the cost per unit.
Time to get off this MerryGoRound.