BRN Discussion Ongoing

[HopalongPetrovski]

Speaking of losses RFTA, does anyone know where BRN keeps it's money, I hope that it is not the SVB = Silicon Valley Bank, there are serious losses going down there, which has been feeding into recent bearish sentiment on Wall St.

Even Yellen has spoken on the subject trying to calm down the fear of wider problems with US Banks.

Does anyone know where BRN is keeping its cash ???

Geoffrey Carrick​

Non-Executive Director
Chair of the Audit & Governance Committee



By the look of that grin, I'm pretty sure Geoffrey keeps it under his bed.

 

[Fact Finder]

Some will recall an interview conducted with Rob Telson where he was asked about competition from Nvidia being a problem. Rob Telson answered this question by saying words to the effect 'We see Nvidia more as a partner in the future.' Rob Telson said this with a great degree of confidence and perhaps some may have thought it was born out of conceit or hubris when Nvidia has been and still is accorded the title of leader in the Artificial Intelligence space. We all know that in the past when asked about competition Brainchip representatives would talk about the technical advantages of SNN and how there was a Von Neumann bottleneck but on this occasion when confronted with Nvidia Rob Telson just went straight to they will be a partner. While many of us myself included struggle with the science and engineering and thank our lucky stars @Diogenese graces this forum and is prepared to share his engineering knowledge I found the following explanation as to why Nvidia needs SNN very accessible and worth sharing here. The quote is from page 83 of this very long Thesis and you are welcome to read the whole paper. There is no mention of Brainchip and AKIDA that I saw and having read other papers by Gregor Lenz I know him to be a fan of Intel and Loihi though AKIDA 2nd Generation may well change his entire perspective:

:
Neuromorphic algorithms and hardware for event-based processing Gregor Lenz

"On our prototype device, we also made use of the Tensorflow Lite backend, which in turn uses neural network accelerator hardware for efficient inference. The issue is, however, that when we convert events into frame representations, we lose a lot of the advantages of event cameras.

As mentioned in the beginning of this conclusion, the hardware lottery gave us GPUs to work with, but they are designed for a different kind of data. GPUs are a great workhorse when it comes to parallelising compute-intense tasks, but they fail to exploit high sparsity in signals.

That is why sparse computation on GPUs is something that the research community is actively looking into at the moment [286, 287].

NVIDIA announced in 2020 that their latest generation of tensor cores would be able to transform dense matrices into sparse matrices using a transformation called 4:2 sparsity, where the cost of computation is reduced by half. This accelerates inference up to a factor of 2 for a minor hit of accuracy [288], but such a feature requires supplementary hardware to check for zeros in the data.

On neuromorphic hardware, the sparse input directly drives asynchronous transistor switching activity, without the need for additional checks. The difference is essentially the lack of input in comparison to lots of zeros of input in the case of GPUs.

Even though GPUs and TensorFlow Lite are making amends to reduce the need to process unnecessary zeros, neuromorphic computing tackles different application scenarios.

Sparsity in signals from an event-based sensor reaches levels of 99% depending on scene activity and is therefore much higher than what a 4:2 sparsity could achieve to shrink.

In the end neuromorphic computing that can exploit the absence of new input information will have a head start in certain applications for power-critical systems that track spurious events at high speeds.

This is where GPUs that apply sparsity checks to avoid computation in a later step will not be able to compete. "

https://theses.hal.science/tel-03474197/document

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Bravo]

View attachment 31864 View attachment 31865

#ai #mbos #mercedesbenz | Magnus Östberg

How can #AI models be trained better? This question was recently addressed by the AI Delta Learning project — a collaboration between Mercedes-Benz AG and 16 project partners. Until now, AI for autonomous driving applications has only been trained to work reliably for specific scenarios such as...

www.linkedin.com

I think it's interesting Magnus Ostberg thanks the "KI Family" and you can see that he thanks Chrisitan Witt (Valeo) whose LinkedIn page shows he is a Team Leader involved in KI Delta Learning ('21-'23). The following post describes what KI Delta Learning is all about and who else is involved in it:

• #30,756

 

[DingoBorat]

Speaking of losses RFTA, does anyone know where BRN keeps it's money, I hope that it is not the SVB = Silicon Valley Bank, there are serious losses going down there, which has been feeding into recent bearish sentiment on Wall St.

Even Yellen has spoken on the subject trying to calm down the fear of wider problems with US Banks.

Does anyone know where BRN is keeping its cash ???

I've sent Tony an email, asking if any of our funds are in SVB, as I think it's a worthwhile query.

I will report back here, once he replys.

It's been over 2 hours mind you, doesn't he work on Saturdays ..

 

[FrederikSchack]

Please remove this before @Bravo sees it!

Doesn't the tiling sound a bit like vision transformers? They also mention it being able to run transformers. They don't mention anything related to temporal?

They gave up their Zeroth SNN long time ago or did they?

 

[Diogenese]

Some will recall an interview conducted with Rob Telson where he was asked about competition from Nvidia being a problem. Rob Telson answered this question by saying words to the effect 'We see Nvidia more as a partner in the future.' Rob Telson said this with a great degree of confidence and perhaps some may have thought it was born out of conceit or hubris when Nvidia has been and still is accorded the title of leader in the Artificial Intelligence space. We all know that in the past when asked about competition Brainchip representatives would talk about the technical advantages of SNN and how there was a Von Neumann bottleneck but on this occasion when confronted with Nvidia Rob Telson just went straight to they will be a partner. While many of us myself included struggle with the science and engineering and thank our lucky stars @Diogenese graces this forum and is prepared to share his engineering knowledge I found the following explanation as to why Nvidia needs SNN very accessible and worth sharing here. The quote is from page 83 of this very long Thesis and you are welcome to read the whole paper. There is no mention of Brainchip and AKIDA that I saw and having read other papers by Gregor Lenz I know him to be a fan of Intel and Loihi though AKIDA 2nd Generation may well change his entire perspective:

:
Neuromorphic algorithms and hardware for event-based processing Gregor Lenz

"On our prototype device, we also made use of the Tensorflow Lite backend, which in turn uses neural network accelerator hardware for efficient inference. The issue is, however, that when we convert events into frame representations, we lose a lot of the advantages of event cameras.

As mentioned in the beginning of this conclusion, the hardware lottery gave us GPUs to work with, but they are designed for a different kind of data. GPUs are a great workhorse when it comes to parallelising compute-intense tasks, but they fail to exploit high sparsity in signals.

That is why sparse computation on GPUs is something that the research community is actively looking into at the moment [286, 287].

NVIDIA announced in 2020 that their latest generation of tensor cores would be able to transform dense matrices into sparse matrices using a transformation called 4:2 sparsity, where the cost of computation is reduced by half. This accelerates inference up to a factor of 2 for a minor hit of accuracy [288], but such a feature requires supplementary hardware to check for zeros in the data.

On neuromorphic hardware, the sparse input directly drives asynchronous transistor switching activity, without the need for additional checks. The difference is essentially the lack of input in comparison to lots of zeros of input in the case of GPUs.

Even though GPUs and TensorFlow Lite are making amends to reduce the need to process unnecessary zeros, neuromorphic computing tackles different application scenarios.

Sparsity in signals from an event-based sensor reaches levels of 99% depending on scene activity and is therefore much higher than what a 4:2 sparsity could achieve to shrink.

In the end neuromorphic computing that can exploit the absence of new input information will have a head start in certain applications for power-critical systems that track spurious events at high speeds.

This is where GPUs that apply sparsity checks to avoid computation in a later step will not be able to compete. "

https://theses.hal.science/tel-03474197/document

My opinion only DYOR
FF

AKIDA BALLISTA

The paper does refer to Prophesee.

I wonder what Gregor Lenz would have said if he had access to Akida 1000 with N-of-M coding?

 

[Deadpool]

Excellent outcome @zeeb0t. Well done!

Anytime so much as one report is received, Dreddb0t is now ready to Judge 24/7/365.

Naming and persona competition for a new feature coming soon!

Punish-bot with The Punisher persona

thestockexchange.com.au

I reported zeeb0t post as Upramping, abuse of one's own power.
This is the reply.

Unfortunately, your recent report has been rejected: Post in thread 'BRN Discussion Ongoing' - Nice try but obviously Dreddb0t knows zeeb0t has the most power.

Ha Ha. That's why I love this place.

 

[Kachoo]

New BrainChip job posted on HC mentions FPGA. Microsoft uses FPGA in data centres.

View attachment 31873

View attachment 31872

If posting jobs they still have their money

 

[McHale]

View attachment 31875

Geoffrey Carrick​

Non-Executive Director
Chair of the Audit & Governance Committee



By the look of that grin, I'm pretty sure Geoffrey keeps it under his bed.

Maybe he's got big socks too, but scrub the SVB, and try GC eh.

I don't know about this being a black swan scenario, but Janet Yellen has been trying to calm things down because like SVB there are a lot of other US banks that have big exposure to crypto. The FTX story alsowent down just recently.

This SVB story has definitely weighed on the US financial sector last couple of days, and SVBs SP has been absolutely smashed, so it may be an opportunity for some smart people, maybe try naked puts (probably too late for that). However if you were one of the unfortunates who had any money in SVB, you would be one fucked up duck right now.

So given it's a local bank that supports start ups, I would not like to think that BRN does their banking with them.

 

[HopalongPetrovski]

Maybe he's got big socks too, but scrub the SVB, and try GC eh.

I don't know about this being a black swan scenario, but Janet Yellen has been trying to calm things down because like SVB there are a lot of other US banks that have big exposure to crypto. The FTX story alsowent down just recently.

This SVB story has definitely weighed on the US financial sector last couple of days, and SVBs SP has been absolutely smashed, so it may be an opportunity for some smart people, maybe try naked puts (probably too late for that). However if you were one of the unfortunates who had any money in SVB, you would be one fucked up duck right now.

So given it's a local bank that supports start ups, I would not like to think that BRN does their banking with them.

Geoffrey actually seems to be a lovely chap. Had a drink and a chat with him last AGM and is impressive like the rest of our Directors.

I just saw on the news that deposit holders of the SVB can get access to their first $250k on Monday from Their Fed Gov bank guarantee scheme, so that's something and at least the little people have some protection.
As far as the Black Swan scenario that was a Fact Finder post a page or two back.

 

[rgupta]

Just my opinion of course but we know:

1.Vorago successfully provided a design to harden AKD1000 for deep space applications.

2. We know Anil Mankar said in an Anastasia interview that AKIDA would likely be produced in 90 nm for NASA.

3. We know ISL working with Brainchip and the US Airforce Research Laboratories proved out their radar simulation SBIR.

4. We know Anil Mankar said AKIDA was being benchmarked against a GPU and it was coming up favourable to AKIDA.

5. We know Edge impulse described AKD1000 as science fiction and could compete at 300 gigahertz with a GPU running at 900 gigahertz.

6. We know researchers found that AKIDA in USB form for $US50.00 was a match for a Nvidia GPU at $US30,000.00.

So I would say pretty well probably.

My opinion only DYOR
FF

AKIDA BALLISTA

6. We know researchers found that AKIDA in USB form for $US50.00 was a match for a Nvidia GPU at $US30,000.00.
That means 600 times cost saving
And another 600 time savings on energy costs minimum.
Which means if someone replace 600 GPUs with akida it will save 17.97 million cost saving on product and 360 thousand times savings on energy costs.
Wohooooo......

 

[Fact Finder]

6. We know researchers found that AKIDA in USB form for $US50.00 was a match for a Nvidia GPU at $US30,000.00.
That means 600 times cost saving
And another 600 time savings on energy costs minimum.
Which means if someone replace 600 GPUs with akida it will save 17.97 million cost saving on product and 360 thousand times savings on energy costs.
Wohooooo......

Yes it is amazing but it appears in black and white in a research paper commissioned by US Homeland Security for the development of a hand held detector for its agents.

It has been posted multiple times.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Taproot]

Impressive AKIDA 2nd Gen $10 compared to $1000 for GPU.
I guess the question is how big is the potential market using GPU we can capture and what does this market do/ consist of?
Cheers

 

[White Horse]

I wonder what sort of tranquilizers Rob uses.? One justifiably, very excited, special person.


Rob Telson • Following Vice President, Ecosystem and Partnerships
2h •
2 hours ago
Great Article. These are Exciting Times!

#neuromorphic #tinyml #edgeai #neuralnetworks #ai


BrainChip 8,737 followers
4d •
4 days ago

Forbes -Brainchip Extends AI, Machine Learning In Space And Time With Bio-Inspired Neural Networks https://lnkd.in/ghMvJqu5 #machinelearning #neuralnetworks #ai #artificialintelligence

Brainchip Extends AI, Machine Learning In Space And Time With Bio-Inspired Neural Networks​

 

[Boab]

All I saw was products that needed big arse fans attached to them to keep them cool.

 

[HopalongPetrovski]

6. We know researchers found that AKIDA in USB form for $US50.00 was a match for a Nvidia GPU at $US30,000.00.
That means 600 times cost saving
And another 600 time savings on energy costs minimum.
Which means if someone replace 600 GPUs with akida it will save 17.97 million cost saving on product and 360 thousand times savings on energy costs.
Wohooooo......

I remember PVDM talking about the astonishing energy savings that could be achieved by Akida in data centres a number of years ago and thinking at the time "that's nice, but ho hum".
Once again, another prescient, pioneering and currently hot button attribute that can soon be realised and dominated by Brainchip.
The world is rapidly catching up to the technology envisioned by Peter and brought to fruition by Anil and crew.
It's nice to be on the right side of history as well as commercial viability.
We tick all the boxes, green, techie and beancounter's.

 

[rgupta]

I 100% believes in you. The reason I mentioned the calculations is the how people in the real world got motivated.
Don't you think Mercedes got motivated because of that either.
When I first purchased my brn stock the main reason was power saving. I am aware the world is looking for greener technologies and what better technology you can quote me other than saving billions of dollar on power consumption by I T industry.
I am also aware that one solution does not fit all but when one person get a good outcome that motivate other to try the same for their cause.
I know it is taking time for the things to get materialized but to me it is worth taking risk coz the risk reward ratio here is exponential.
DYOR

Yes it is amazing but it appears in black and white in a research paper commissioned by US Homeland Security for the development of a hand held detector for its agents.

It has been posted multiple times.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Fact Finder]

I wonder what sort of tranquilizers Rob uses.? One justifiably, very excited, special person.


Rob Telson • Following Vice President, Ecosystem and Partnerships
2h •
2 hours ago
Great Article. These are Exciting Times!

#neuromorphic #tinyml #edgeai #neuralnetworks #ai


BrainChip 8,737 followers
4d •
4 days ago

Forbes -Brainchip Extends AI, Machine Learning In Space And Time With Bio-Inspired Neural Networks https://lnkd.in/ghMvJqu5 #machinelearning #neuralnetworks #ai #artificialintelligence

Brainchip Extends AI, Machine Learning In Space And Time With Bio-Inspired Neural Networks ​

This extracted paragraph is telling the semiconductor world that Brainchip is unleashing a Black Swan event and they need to be on the right side of history:

“In Tirias Research’s opinion, it’s not the path taken to the result that’s important, it’s the result that counts. If Brainchip’s Akida event-based platform succeeds, it won’t be the first time that a radical new silicon technology has swept the field. Consider DRAMs (dynamic random access memories), microprocessors, microcontrollers, and FPGAs (field programmable gate arrays), for example. When those devices first appeared, there were many who expressed doubts. No longer. It’s possible that Brainchip has developed yet another breakthrough that could rank with those previous innovations. Time will tell.”

My opinion only DYOR
FF

AKIDA BALLISTA

 

[equanimous]

This extracted paragraph is telling the semiconductor world that Brainchip is unleashing a Black Swan event and they need to be on the right side of history:

“In Tirias Research’s opinion, it’s not the path taken to the result that’s important, it’s the result that counts. If Brainchip’s Akida event-based platform succeeds, it won’t be the first time that a radical new silicon technology has swept the field. Consider DRAMs (dynamic random access memories), microprocessors, microcontrollers, and FPGAs (field programmable gate arrays), for example. When those devices first appeared, there were many who expressed doubts. No longer. It’s possible that Brainchip has developed yet another breakthrough that could rank with those previous innovations. Time will tell.”

My opinion only DYOR
FF

AKIDA BALLISTA

Talking about black swans how does this person get involved with 2. Keep an eye out where he goes next

 

[Taproot]

All I saw was products that needed big arse fans attached to them to keep them cool.

GPT-3 used 10,000 Nvidia V100 GPU's !
ChatGPT - estimate is 4480 Nvidia A100 GPU's ( At $200,000 each, that's $896,000,000 )