BRN Discussion Ongoing

[manny100]

Just out of interest Income and State taxes in California outlined below.
Mentioning because of all the crap about Sean and the BOD selling converted vested RSU shares to pay tax- mainly on the crapper.
Aussies have this 'idea' that taxes in the USA are generally low because the Fed rate is lower but its not widely understood that other taxes apply. They get really peed off on the crapper when i post about Sean and Tony V holdings and the whopping size of inside holdings.

• Federal income tax: 22% (37% once your supplemental wages exceed $1,000,000)
• California income tax: 10.23%
• Medicare tax: 1.45%
• Additional Medicare tax: 0.9% (once your total wages exceed $200,000)
• Social Security tax: 6.2% (up to the wage limit)
• California State Disability Insurance: 1.2% (up to the wage limit). If you don’t live in California, your locality may have its own version of state disability or other payroll taxes.

 

[Boab]

Just out of interest Income and State taxes in California outlined below.
Mentioning because of all the crap about Sean and the BOD selling converted vested RSU shares to pay tax- mainly on the crapper.
Aussies have this 'idea' that taxes in the USA are generally low because the Fed rate is lower but its not widely understood that other taxes apply. They get really peed off on the crapper when i post about Sean and Tony V holdings and the whopping size of inside holdings.

• Federal income tax: 22% (37% once your supplemental wages exceed $1,000,000)
• California income tax: 10.23%
• Medicare tax: 1.45%
• Additional Medicare tax: 0.9% (once your total wages exceed $200,000)
• Social Security tax: 6.2% (up to the wage limit)
• California State Disability Insurance: 1.2% (up to the wage limit). If you don’t live in California, your locality may have its own version of state disability or other payroll taxes.

California is No 4 in the list of highest overall taxes and on income tax they are number 1.

 

[Smoothsailing]

Asking ChatGpt

Emerging Developments in Neuromorphic Chips

Recent advancements in neuromorphic chip designs indicate a strong push towards their adoption in mobile technology:

• BrainChip’s Akida Pico: This chip has been specifically designed for use in power-constrained environments such as mobile devices. Its architecture supports efficient neural processing while maintaining low energy consumption.

 

[BrainShit]

Asking ChatGpt

Emerging Developments in Neuromorphic Chips

Recent advancements in neuromorphic chip designs indicate a strong push towards their adoption in mobile technology:

• BrainChip’s Akida Pico: This chip has been specifically designed for use in power-constrained environments such as mobile devices. Its architecture supports efficient neural processing while maintaining low energy consumption.

Use Perplexity instead... because, it scores with high factual accuracy, the ability to search the Internet in real time and provides citations for its answers. It is particularly useful for precise research and up-to-date information queries.

ChatGPT is ... lets say more versatile in content creation, including creative texts such as poems and scripts, and offers a fluid conversational experience. However, it is not always up to date with the latest information. So kind of more creative than fact based....

But .... BrainChip envisions that key applications for the Akida Pico will include voice wake detection, keyword recognition, noise suppression, presence detection, wearables, and personal voice assistants. It can also be used in appliances for voice control and is particularly effective for wearable AI and smart home devices. As BrainChip puts it, ultra-low-power consumption of the Akido Pico is optimized for 'extreme edge AI,' possibly implying on emerging devices that do not exist yet.

"Like all of our Edge AI enablement platforms, Akida Pico was developed to further push the limits of AI on-chip compute with low latency and low power required of neural applications," said Sean Hehir, CEO at BrainChip. "Whether you have limited AI expertise or are an expert at developing AI models and applications, Akida Pico and the Akida Development Platform provides users with the ability to create, train and test the most power and memory efficient temporal-event based neural networks quicker and more reliably."

Source: https://www.tomshardware.com/tech-i...an-ai-npu-that-consumes-less-than-a-milliwatt

Source: https://www.embedded.com/brainchips...-ai-processing-with-event-based-architecture/

 

[Smoothsailing]

Use Perplexity instead... because, it scores with high factual accuracy, the ability to search the Internet in real time and provides citations for its answers. It is particularly useful for precise research and up-to-date information queries.

ChatGPT is ... lets say more versatile in content creation, including creative texts such as poems and scripts, and offers a fluid conversational experience. However, it is not always up to date with the latest information. So kind of more creative than fact based....


View attachment 74198


But .... BrainChip envisions that key applications for the Akida Pico will include voice wake detection, keyword recognition, noise suppression, presence detection, wearables, and personal voice assistants. It can also be used in appliances for voice control and is particularly effective for wearable AI and smart home devices. As BrainChip puts it, ultra-low-power consumption of the Akido Pico is optimized for 'extreme edge AI,' possibly implying on emerging devices that do not exist yet.

"Like all of our Edge AI enablement platforms, Akida Pico was developed to further push the limits of AI on-chip compute with low latency and low power required of neural applications," said Sean Hehir, CEO at BrainChip. "Whether you have limited AI expertise or are an expert at developing AI models and applications, Akida Pico and the Akida Development Platform provides users with the ability to create, train and test the most power and memory efficient temporal-event based neural networks quicker and more reliably."

Source: https://www.tomshardware.com/tech-i...an-ai-npu-that-consumes-less-than-a-milliwatt

Source: https://www.embedded.com/brainchips...-ai-processing-with-event-based-architecture/

I can paint your house champ however Iam not very technically. Well dun on this up date tho I appreciate it…cheers

 

[manny100]

Just out of interest Income and State taxes in California outlined below.
Mentioning because of all the crap about Sean and the BOD selling converted vested RSU shares to pay tax- mainly on the crapper.
Aussies have this 'idea' that taxes in the USA are generally low because the Fed rate is lower but its not widely understood that other taxes apply. They get really peed off on the crapper when i post about Sean and Tony V holdings and the whopping size of inside holdings.

• Federal income tax: 22% (37% once your supplemental wages exceed $1,000,000)
• California income tax: 10.23%
• Medicare tax: 1.45%
• Additional Medicare tax: 0.9% (once your total wages exceed $200,000)
• Social Security tax: 6.2% (up to the wage limit)
• California State Disability Insurance: 1.2% (up to the wage limit). If you don’t live in California, your locality may have its own version of state disability or other payroll taxes.

A little off topic but there is not a means test for Social Security in the US.
The prevailing view in the US is that everyone earns it and the costs of maintaining a system fairly would cancel out and maybe cost more than just a simple everyone qualifies.
Also the value of concessions here is not added to individual pension incomes so they are effectively 'tax free perks'.

 

[TECH]

Funnily enough, a lot of Intel's spiking NN patents use a variable oscillator in a rate-based coding arrangement. That means the neurons are "active" in generating the oscillations, which would add to power consumption and latency.

It's almost as if they had not read Edgar Adrian's 1920's paper which formed the basis of Thorpe's Spikenet N-of_M coding.

Exactly Dio.........Intel are hanging onto our coat tails, we are actually commercial, they are from my vantage point, still wearing their
lab coats, Intel as a company have so many issues at play, even with the new CEO (did Pat finally fall on his sword ?) she has a mammoth
task ahead of her, the old Intel carried a lot of weight years ago, but I personally don't view Mike and his team a threat to us at all.

I do know that our key leaders within Brainchip have a lot of respect for Mike (Davies) but we are ahead of them, that I feel comfortable
saying, you can only ride the wave of yesteryear for so long....the power of the name Intel, is a fading star, purely my view, many may
totally disagree with me, and that's all good.

Cheers....Tech

 

[Diogenese]

Exactly Dio.........Intel are hanging onto our coat tails, we are actually commercial, they are from my vantage point, still wearing their
lab coats, Intel as a company have so many issues it play, even with the new CEO (did Pat finally fall on his sword ?) she has a mammoth
task ahead of her, the old Intel carried a lot of weight years ago, but I personally don't view Mike and his team a threat to us at all.

I do know that our key leaders within Brainchip have a lot of respect for Mike (Davies) but we are ahead of them, that I feel comfortable
saying, you can only ride the wave of yesteryear for so long....the power of the name Intel, is a fading star, purely my view, many may
totally disagree with me, and that's all good.

Cheers....Tech

Yes. I don't bear any ill will towards Intel. They mead great computers last millenium.

I think their futurists got the AI revolution date wrong. Is seems like Mike's group were given the wrong riding instructions - solid research and development, but misreading the pace of AI change and perhaps perhaps a touch of incumbency huberis.

On the other hand, they have been working on SLMs for a few years ...

US2022036123A1 MACHINE LEARNING MODEL SCALING SYSTEM WITH ENERGY EFFICIENT NETWORK DATA TRANSFER FOR POWER AWARE HARDWARE 20211020

Machine learning model swap (MLMS) framework for that selects and interchanges machine learning (ML) models in an energy and communication efficient way while adapting the ML models to real time changes in system constraints. The MLMS framework includes an ML model search strategy that can flexibly adapt ML models for a wide variety of compute system and/or environmental changes. Energy and communication efficiency is achieved by using a similarity-based ML model selection process, which selects a replacement ML model that has the most overlap in pre-trained parameters from a currently deployed ML model to minimize memory write operation overhead.

... so they aren't completely behind the 8-ball.

 

[manny100]

Sean as the BOD 'mouthpiece' has stated that the aim is in a decade, is that BRN will be one of the top 3 leaders of 'Edge' providers.
That is why we need to move 'big' in 2025. One decent deal and we are off and running on the way to build something really special.
No real fear of competition right now as that will come later when the market is huge and we are well on the way to being a large business with established clients.
Large markets attract new entrants. The market is not large ATM.
Fortunately our whopping level of inside ownership will either block any takeover attempts or force a huge to good to refuse premium.

 

[rgupta]

Sean as the BOD 'mouthpiece' has stated that the aim is in a decade, is that BRN will be one of the top 3 leaders of 'Edge' providers.
That is why we need to move 'big' in 2025. One decent deal and we are off and running on the way to build something really special.
No real fear of competition right now as that will come later when the market is huge and we are well on the way to being a large business with established clients.
Large markets attract new entrants. The market is not large ATM.
Fortunately our whopping level of inside ownership will either block any takeover attempts or force a huge to good to refuse premium.

You have a point Manny that market is not big enough and that is why not enough competition.
But another matter of fact is that they want to come as close as possible to a human brain.
Regarding getting into top 3 players at edge AI means there are and will be similarly technologies like our, who are or will be working at the edge. Right now Qualcomm and apple are one of the biggest company working towards the edge. Let us see what the future holds.
Dyor

 

[Pom down under]

Fortunately our whopping level of inside ownership will either block any takeover attempts or force a huge to good to refuse premium.

I’ll be just happy with any deal that propels us past the $1 mark atm.

 

[Pom down under]

Gidday Super....first off, thank you for your steady stream of excellent articles week in and week out, I, like many, do appreciate your
efforts to highlight any interesting articles or comments from within the semi-conductor industry that generally always acknowledge
our company is creating a lot of interest at the Edge, I still see a big future at a later date at the opposite end of the spectrum, that is,
data centres, that environment has to change, data centres may still be useful today, but the way technology just continues to accelerate
there seems to be a big disconnect on the horizon, in my opinion at least.

The other thing that is a little annoying with our company's written dialogue is for example, in the press release regarding the AFRL
1.8 Mil contract the other day, I was one of many whom initially thought that we were receiving a fee of $800,000 from an unknown
subcontractor to provide R&D to develop and optimize what we know best, AKIDA II and TENN's.....but I was wrong.

The other thing that definitely needs sorting out is this:

TENN's - Temporal Event (Based) Neural Networks

or is it

TENN'S - Temporal Embedded Neural Networks

or is it

TENN's - Temporal Enabled Neural Networks

It has been quoted in a variety of ways, even our own staff have referred to TENN's in different ways...clear definition is a must.

Tech...(NZ)

Hey @TECH have you extended your Jan 2025 timeline by anychance?

 

[FJ-215]

Hey @TECH have you extended your Jan 2025 timeline by anychance?

manny has pushed his out a decade so the dollar party may be a way off.

 

[BrainShit]

Custom hardware tailored to specific models can unlock performance gains and energy savings that generic hardware cannot achieve, but there are tradeoffs.


HW and SW Architecture Approaches For Running AI Models

State space models
“SSMs essentially take control theory and apply deep learning to it so that you hold state like in an RNN, that feeds back results,” said Steve Brightfield, chief marketing officer of BrainChip. “Power has always been an issue with AI models, but it really accelerated with LLMs and transformers. Transformers have a squared computational complexity. When you have a longer contact window, the computations square. It’s a logarithmic power increase, and that’s what everybody’s been challenged by. It’s a scaling problem. What now you’re seeing is, even at the data center level, they’re looking at modifying a transformer to be a hybrid model. It will use a transformer for some pieces of it, but it will replace other portions of the transformer with either a state space model or some other type of model approach.”

HW and SW Architecture Approaches For Running AI Models

Custom hardware tailored to specific models can unlock performance gains and energy savings that generic hardware cannot achieve, but there are tradeoffs.

semiengineering.com

 

[manny100]

manny has pushed his out a decade so the dollar party may be a way off.

I never said $1 for a decade target or made any $ prediction al all in my post.
I do not know why you would say that?
I am not into SP predictions except I do believe that short term we will close chart gaps above if we get a decent deal.
From memory the highest gap above is around $1.90.
From there the next target will be the last highest high circa $2.34 and blue sky from there.
The above are 2025 aspirations on a decent deal.

 

[Tothemoon24]

Hopefully when the senior Scientist from Tata says “ our Spiking Neural Network “ he’s meaning our partners Brainchip

Where it can be used? -- In stabilizing a drone in high wind, docking a space ship perfectly on a space station, controlling and balancing an automated car etc. Stay tuned as we delve into exploring potential power efficiencies on neuromorphic boards and market opportunities. Exciting times ahead!

 

[manny100]

Hopefully when the senior Scientist from Tata says “ our Spiking Neural Network “ he’s meaning our partners Brainchip
View attachment 74237



Where it can be used? -- In stabilizing a drone in high wind, docking a space ship perfectly on a space station, controlling and balancing an automated car etc. Stay tuned as we delve into exploring potential power efficiencies on neuromorphic boards and market opportunities. Exciting times ahead!

View attachment 74238

Given that Tata Exsli have publicly committed to using AKIDA its a fair bet its us.
See link to Tata website.

Tata Elxsi - BrainChip and Tata Elxsi Partner to Provide Intelligent, Ultralow-Power Solutions

Tata Elxsi

www.tataelxsi.com

 

[Tothemoon24]

Given that Tata Exsli have publicly committed to using AKIDA its a fair bet its us.
See link to Tata website.

Tata Elxsi - BrainChip and Tata Elxsi Partner to Provide Intelligent, Ultralow-Power Solutions

Tata Elxsi

www.tataelxsi.com

Hi manny I do agree , over the years Sounak hasn’t been shy in mentioning our involvement.

Perhaps things are advancing at such a rate now he’s become or been told to refrain from singing our praises

 

[Dallas]

https://www.heise.de/news/Technikve...0043.html?wt_mc=rss.red.ho.themen.künstliche+ intelligenz.beitrag.beitrag

 

[TECH]

Hey @TECH have you extended your Jan 2025 timeline by anychance?

That review of mine was made around 2.5 years ago (about) and I'll still quietly weigh things up, my personal holding has
gone down quite a lot, just under 2.5 million at my peak and now around 1.1 million....that announcement last week was
very good, but the more I think about it, well, real revenue may not appear if the 2025/2026 contract fails to make solid
progress, if we and the subcontractor hit paydirt, well, lets all be 100% frank, revenue may not show up until 2027/2028.

I personally still need to see some "real traction" as 2025 unfolds, all this talk about EAP's and NDA's it's been going on for
many years, and I'm sure many feel the same way as I do, so to sum up, yes I'll spend a week mulling over things, generally
at this point I'm happy, but not really satisfied if you get my drift....it's that same old story.