BRN Discussion Ongoing

M_C

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Diogenese

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Interesting that former CEO and President of MegaChips Corporation who will serve as the Semiconductor Sector Advisor on the EdgeCortix Strategic Advisory Board



EdgeCortix uses convolution modules and multi-bit weights and activations:

US2022215236A1 NEURAL NETWORK ACCELERATOR WRITABLE MEMORY RECONFIGURABILITY

1659228264087.png


[0027] Another theoretical way to utilize more compute modules is to compute multiple output channel tiles in parallel. However, this may be undesirable since input values and weight values may be 8-bit, but output values may be 32-bit, and therefore requires significantly more memory than other forms of parallelism.

EdgeCortix patents:
https://worldwide.espacenet.com/patent/search?q=edgecortix
 
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D

Deleted member 118

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EdgeCortix uses convolution modules and multi-bit weights and activations:

US2022215236A1 NEURAL NETWORK ACCELERATOR WRITABLE MEMORY RECONFIGURABILITY

View attachment 12925

[0027] Another theoretical way to utilize more compute modules is to compute multiple output channel tiles in parallel. However, this may be undesirable since input values and weight values may be 8-bit, but output values may be 32-bit, and therefore requires significantly more memory than other forms of parallelism.

EdgeCortix patents:
https://worldwide.espacenet.com/patent/search?q=edgecortix

Means nothing apart from not getting an org
 
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HopalongPetrovski

I'm Spartacus!
My personal experience with an ASX listed company shifting to the NASDAQ was a disaster. Trying to communicate with the company and with Computershare US, which still operates using snail mail, from Australia was a nightmare. The business ended up in receivership and trying to sort out what happened to my share holding took months of emails and direct calls at midnight, ended up lost everything. Many lessons learned and a very sour taste about NASDAQ listing.

I realise it will happen eventually, but it is expensive and I hope it does not happen in the near future. When it does happen I won’t agree unless it is a dual listing on ASX and NASDAQ.
I'd be interested to hear from others here who have had a company they owned on the ASX do a dual listing or shifted to NASDAQ?
i.e.
Is there a standard procedure or is it an Ad Hoc, case by case affair?
Was there an initial spike in share price followed by a decline in value as often happens with IPO's here in Oz?
After a year or so, are people happy with the result?
Are the ASX holders in any way second class citizens?
Any other relevant observations as above from Bigfella would be appreciated.
PS thanx rocket for highlighting this post, somehow missed it yesterday.:D
 
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Kachoo

Regular
That's the thing Ahboy 😉

The institutions loaning the shares are long long.

They are accumulating.
Loaning for shorting, is how they get an immediate return on their investment, with the double benefit, of accumulation at lower prices.

As their positions grow, so will the quantity of shares available for shorting.

Shorting will be done at higher and higher levels though, by burning through and using the shorters, as fuel, to get to each new level.
But obviously the Company needs to do its bit too, with continuous improvement and progress.

They are doing that, but people are focused on the "day to day" action..

That's why I believe BrainChip, will one day have a monstrously large market cap.

You look at the Market Cap, of any large Tech Company and it has been largely built on "these games" combined with Market Confidence, in the underlying company.

Tesla had an incredible Market Cap, well before they were ever profitable.

That's why Elon Musk, made so many jokes about them..

It's funny, in that if shorters didn't exist, we would never reach the price levels, that we will.
You have hit the nail on the head DB.

It's a game for bug institutions. They can open up 500 small companies separate entities and accumulate share with out breaking the disclosure under an umbrella. Then buy out that company or merge what ever they see fit.

If we look back in the history of BRN or past the financal backer where hard working Australians. There was limited venture capital money put in (highly rich) venture capitalists don't usually lose and they missed the free growth from the 3 to 7 cent range as brn was under the radar.

The games will be played till the shake out the retail Investers with limited knowledge or understanding of AKIDA and what it really mean to the globe. Thanks to the 1000 eyes all the highly intelligent contributors that have tried to help educate us less knowledgeable folks that may have stumbled across a quick gain and moved on and forgot about this one. Once they feel they have enough shares they can let the tiger out if the cage. I know it sounds like a huge conspiracy but if this is what we have the 4th industrial revolution then they will get thier share.

Believe me it's frustrating to see 6 figure drops 5 to get drops or 4 figure drops what ever your level of investment is. I feel a lot of the anger towards thIs games as some people have expected returns too soon I'm one of these people but I have evaluated my personal finance plan and decieded to keep working on hard at my other stuff before I venture off to new things. This was planned for 2022 now it may be 2024 but life is never a straight road. I have made peace with my plans so I'm happy don't like the drop but what can I do.

So I do think some anger pushed on one another is the frustration and helplessness we feel to the high volitility. So that said we need to check ourselves in and realize we are all on the same team. A team can win better then individuals. Sometimes people leave the team for various reasons sometimes we have players that use us for a better return but you know what in the end all of us will win.

I will highlight the investment side of the argument has the company shown signs of growth and traction for comercialization yes. It's slow I agree but I also don't know what other companies speed of implementation will be. I know for a fact if you have a shit product in inventory you still would sell it all until you can implement the next gen. As that would be financial waste. Also you may have previous agreements you need to fulfill prior to moving forth. As long as your direct competition does not have this problem you will play that game. So these delays may not be anyone's fault at BRN.

The top 20 yeah it could be published it should we were told. If I was really concerned I would ask where the registry is and go view it and put my efforts into it. Can we say BRN is dogging that yes but what's there reason we don't know and won't we never know and likely will not. Sorry but we all have control of the top 20 if you put an effort. For my if t there was a place to view the registry in Brisbane I would but I believe it's only in Sydney would that be correct.?

Anyway the company is moving ahead hiring and growing I'm happy to wait and see what 2023 brings 2022 is more than half way gone.

Have a good remainder of the weekend folks
 
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MDhere

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Hi Alwaysgreen, it is my opinion…and my opinion only, that the company would be talking about the Nasdaq all the time and are ultimately planning for this as the ducks line up.


Sean’s comments himself said the market cap should be way higher, and he is saying that with the confidence of knowing what is going on behind the scenes and what is about to unfold imo.

IMO I believe Valeo and Mercedes will license our IP in the back end of 2023 once they go into production, them 2 alone are worth at least a few billion dollars added to the market cap, if you have read the Brainchip automotive white paper then you would have read that Jerome Nadel has said that akida can be in potentially up to 70 sensors….crazy revenue!
@chapman89 my calculator broke just on that many sensors let alone my convo with PVDM chatting about their are up to 300 sensors on a automobile , so if we get a number between 70 and 300 , I'm gonna need another wider calculator 🤣🤣
 
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Boab

I wish I could paint like Vincent
Happy Sunday fellow brners,

Whatever your going today, here is an interesting read I found.
Read it while your having a cuppa, a whiskey, wine or favourite beer and most of all, enjoy. :) Whilst i can read the word I have awful trouble pronouncing it lol

Another confirmation of the endless possibilities where BrainChip can be helpful.
And @Fact Finder 1% rule (albeit conservative) the mind boggles.
For me the excitement of the next phase of AKIDA and what it may be capable of is something I'm prepared to wait for.
I am fortunate enough to be able to continue to hold onto my shares with anticipation of much bigger things to come.
GLTA
 
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hotty4040

Regular
Hi all,

I was disappointed yesterday.

Especially when reading the constant whining and some of the insults on this Forum.



I choose to maintain a positive healthy frame of mind and I take control of my surroundings to make sure it stays that way.

I’ve recently started ignoring some people as its exhausting reading their negativity.



Obviously I don’t want to be in a room full of confirmation bias either.

Honest, robust discussion about the company is preferred; and we don’t all have to agree on everything to get along.

Different points of view are appreciated. But let’s lose the insults please.



The share price is always going to look like a heart rate ecg; preferably on an incline.

We all know price will go up… and down.

Yesterday hurt all long term holders but it has no consequences on the success of the company.



In my opinion we have hired brilliant, qualified people to manage the company. They are highly skilled in their fields.

We’re all armchair experts; however these people actually have the skill set, experience, ambition and determination necessary to steer our company to success.

View attachment 12864
View attachment 12865

We’ve heard them all speak. It would be disrespectful to suggest they’re all not passionate and working hard for the success of this company!

We know the company has the top of class, first to market neuromorphic processor.

We know there is a growing market for the product.

We know we are in the early stages of commercialisation.

I am confident we are de-risked so over the long term the company should become profitable which will make the SP grow.

We already have some massive partners who are going to help grow the company:
Arm, SiFive, Edge Impulse, NVISO, PROPHESEE

We have awesome customers including Mercedes, NASA and VALEO, RENESAS.

If, as we suspect Akida is to be used in Valeo’s Scala III Lidar then all we have to do is wait for it to be released in 2024 and the price will skyrocket. I would not want to be listed on the NASDAQ until then. I want to enter the NASDAQ as a winning company with strong revenue in great demand!

I read somewhere recently there are up to 70 sensors on a new vehicle: that is a massive market potential of which we are in the box seat!

We all should by now understand the importance, both morally, commercially and legally why BRAINCHIP adheres to NDA’s. Success of the company is linked to it. I’m not sure why as shareholders we would want to undermine the company’s strategy which could damage our reputation and impede customer enablement.

In my opinion there are plenty of reasons there to feel secure with your investment.
If you want to feel more confident have a look at Bacon Lover’s Iceberg.
Read all the research UIUX has kindly put forward; it’s awesome.
Review some of FF great posts.

So much work has unselfishly been done by many others on the forum to enable us shareholders to learn about the company. All we have to do is take the time to read it!

I have read their research and logical statements; and I am extremely confident of where we are headed.

Please next week can we discuss and follow the Company, not the fluctuating share price!

Enjoy the weekend good people!
A great and needed post Stable Genius, and your FOCUS is spot on IMHO. The message should calm some troubled soul's, It did mine. I can't stand jitters. I've had enough of them.


Akida Ballista >>>>>> The future is in sight, in many forms <<<<<
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
I hope no-one minds if I keep banging on about Nvdia Hyperion 8 and Hyperion 9 but if you take a closer look I think you can see where AKIDA might fit into this equation. How else would Nvdia manage double the performance of Hyperion 9 conpared to Hyperion 8, all in the same power envelope?


EXTRACT 1



Screen Shot 2022-07-31 at 12.23.57 pm.png





EXTRACT 2


Screen Shot 2022-07-31 at 12.46.19 pm.png







 
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Diogenese

Top 20
I hope no-one minds if I keep banging on about Nvdia Hyperion 8 and Hyperion 9 but if you take a closer look I think you can see where AKIDA might fit into this equation. How else would Nvdia manage double the performance of Hyperion 9 conpared to Hyperion 8, all in the same power envelope?


EXTRACT 1

View attachment 12926

EXTRACT 2


View attachment 12929






Hi Bravo,

I would put a blue circle around "deep learning and computer vision accelerators".
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Hi Bravo,

I would put a blue circle around "deep learning and computer vision accelerators".


Whooopsies, I had a feeling I forgot something. 🥴Now edited thanks Dodgy Knees! 😘
 
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TopCat

Regular

Untether AI Touts “At-Memory” Architecture, Promising Efficiency And Performance At The Edge​


What does Untether AI promise?​

Untether AI recently emerged from stealth and described their architecture as being “At-Memory”, which the company claims will deliver leading performance and power efficiency.


So, let’s look at the architecture. I like the chart below, as it clearly positions Untether AI versus cache-oriented Von Neumann designs. While interesting, the assertion that this architecture is unique is a bit of a reach: other startups have somewhat similar memory architectures, but few can claim the efficiency that Untether AI is demonstrating with early silicon.


Now, here’s the thing: Untether AI claims that its runAI200 chip will crank out over 500 Trillion Ops Per Second (TOPS) with 8-bit inference operations with 200MB of on-die SRAM, all at 8 TOPS/watt. That implies the chip consumes about 60 watts or so, while potentially cranking out 80% of the inference performance of the industry-leading NVIDIA A100, which consumes 300-500 watts. ( IS 60W TOO MUCH FOR AKIDA ??? )


For applications such as ADAS and mobile autonomy, latency can be as critical as throughput, and Untether seems to shine here. The company is shipping chips, cards, and software by the end of this year to early potential clients.

Conclusions​

While a few competitors will claim better power efficiency, none that we are aware of can also claim exceptional inference performance and latency. UntetherAI may be setting a new bar here, and may have significant opportunities in performance-demanding applications such as self-driving vehicles.

 
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Diogenese

Top 20
VW had been collaborating with Audi and Porsche on LiDaR/LSTM/SpikingNN since at least 2017.

1659241711854.png




US10133944B2 Digital neuromorphic (NM) sensor array, detector, engine and methodologies

US10387741B2 Digital neuromorphic (NM) sensor array, detector, engine and methodologies

[042] ... The digital NM vision system also can include a digital NM engine 145 that perform image and data processing operations on the velocity vector data generated by the digital NM detector that enables image data processing for improved object detection, classification, and tracking, including machine and deep learning. As such, in accordance with at least one embodiment, the digital NM engine 145 may include one or processors running software to generate digital NM output data for analysis and subsequent control of components with the environment imaged by the detector 110 . Operation of the digital NM engine 145 is further discussed herein with connection to FIGS. 17-20.

That said, more efficient ways of processing the the data than "processors running software" are now available.

However, Akida 1000 does not do tracking, so they will need to wait for Akida 2000 which will include LSTM, and is being developed at top speed by BRN.

LSTM is probably available in MetaTF/ADE software for simulation testing as we speak.
 
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@chapman89 my calculator broke just on that many sensors let alone my convo with PVDM chatting about their are up to 300 sensors on a automobile , so if we get a number between 70 and 300 , I'm gonna need another wider calculator 🤣🤣
Whether 70 or 300 sensors, on a car, wouldn't/couldn't they be served by just a few AKIDAD chips?
So there may only be 10 or even fewer royalties per car..

With 300 sensors, there wouldn't be 300 "brains"..

We have one brain, for the five senses we use..
 
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Hi Bravo,

I would put a blue circle around "deep learning and computer vision accelerators".
Isn't "deep learning" purely cloud based and the complete opposite of what we do Diogenese?
 
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Untether AI Touts “At-Memory” Architecture, Promising Efficiency And Performance At The Edge​


What does Untether AI promise?​

Untether AI recently emerged from stealth and described their architecture as being “At-Memory”, which the company claims will deliver leading performance and power efficiency.


So, let’s look at the architecture. I like the chart below, as it clearly positions Untether AI versus cache-oriented Von Neumann designs. While interesting, the assertion that this architecture is unique is a bit of a reach: other startups have somewhat similar memory architectures, but few can claim the efficiency that Untether AI is demonstrating with early silicon.


Now, here’s the thing: Untether AI claims that its runAI200 chip will crank out over 500 Trillion Ops Per Second (TOPS) with 8-bit inference operations with 200MB of on-die SRAM, all at 8 TOPS/watt. That implies the chip consumes about 60 watts or so, while potentially cranking out 80% of the inference performance of the industry-leading NVIDIA A100, which consumes 300-500 watts. ( IS 60W TOO MUCH FOR AKIDA ??? )


For applications such as ADAS and mobile autonomy, latency can be as critical as throughput, and Untether seems to shine here. The company is shipping chips, cards, and software by the end of this year to early potential clients.

Conclusions​

While a few competitors will claim better power efficiency, none that we are aware of can also claim exceptional inference performance and latency. UntetherAI may be setting a new bar here, and may have significant opportunities in performance-demanding applications such as self-driving vehicles.

"That implies the chip consumes about 60 watts or so, while potentially cranking out 80% of the inference performance of the industry-leading NVIDIA A100, which consumes 300-500 watts"

I think... Maybe they should have come out of stealth 5 years ago, when 60 watts power usage, would have been revolutionary 🤣
 
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TopCat

Regular
"That implies the chip consumes about 60 watts or so, while potentially cranking out 80% of the inference performance of the industry-leading NVIDIA A100, which consumes 300-500 watts"

I think... Maybe they should have come out of stealth 5 years ago, when 60 watts power usuage, would have been revolutionary 🤣
Yes thanks…I thought that might of been too much
 
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Diogenese

Top 20
Whether 70 or 300 sensors, on a car, wouldn't/couldn't they be served by just a few AKIDAD chips?
So there may only be 10 or even fewer royalties per car..

With 300 sensors, there wouldn't be 300 "brains"..

We have one brain, for the five senses we use..
If the Akidas are integrated with sensors, there would only be one per sensor, but it would only be a partial Akida, eg, 4 nodes or so instead of 20. Then there's mission-critical function redundancy. I recall in the early days of electronic ignition, Holden had a "limp-home" function (30 kph), which, on one occasion, came into play returning to Sydney from Wollongong Uni.

With any luck there will be at least 20 full Akida equivalents at, say, $10 per pop. After all, we're not here to strangle the golden-egg-laying goose.
 
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It is possibly obvious to some, but sometimes I like it spelt out to me; this is Akida giving extended battery time, right?
Nothing screams out that it is, other than the power saving, that every tech company is chasing..

But it shows the relevancy and value, of our IP in Edge devices.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Check this out team!

I thought these slides from NVDIA's Investor Day 2021 Presentation were pretty interesting. The first slide shows the NVDIA + ARM relationship and the second shows a Business Model with Mercedes for shared revenue for AutoPilot and AI cockpit software per car, which I imagine is like Netflix-style subscription service to enable features like autonomous driving, from which NVDIA will presumably take some kind of cut???


funky-dancer-t.gif





Screen Shot 2022-07-31 at 3.49.28 pm.png



Screen Shot 2022-07-31 at 3.46.25 pm.png



 
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