BRN Discussion Ongoing

[dippY22]

Yep,...that's it. Beautiful to hear isn't it?

 

[Foxdog]

Agreed. I’m not sure we’re ever going to really know where our chips/ip end up. Silently conquering the world via Megachips, Renesas, and now SiFive. We may only ever know via the financials…

Yep I agree. Hopefully the significance of this tech will still be realised by the mainstream otherwise I think BRN's PE ratio will remain subdued. The market will want to know who is using AKIDA and what the technology actually does, otherwise the SP will always be undervalued if based solely on reported revenue and not potential future growth.
The 1000 eyes might need to become the 500 mouths to spread the word around

 

[marsch85]

Yep I agree. Hopefully the significance of this tech will still be realised by the mainstream otherwise I think BRN's PE ratio will remain subdued. The market will want to know who is using AKIDA and what the technology actually does, otherwise the SP will always be undervalued if based solely on reported revenue and not potential future growth.
The 1000 eyes might need to become the 500 mouths to spread the word around

The company will be valued based on revenue growth for the next few years. PE might become somewhat relevant ~5 years from now. As long as rev growth is strong we’ll trade at a high growth PE level when that point in time comes.

 

[Whispering Bob]

https://group-media-news.mercedes-benz.com/cy9V1x9IlmvwHlrN

The above becomes interesting when you start to read about the optional upgrades.

The whole, to quote the Castle, vibe is directed to pushing technology advancements.

My opinion only DYOR
FF

AKIDA BALLISTA

“The latest generation MBUX (Mercedes-Benz User Experience) is intuitive to operate and capable of learning. It offers a host of functional content and the operating structure of the second-generation MBUX system, which debuted in the new Mercedes-Benz S-Class.”

 

[Mt09]

Yep,...that's it. Beautiful to hear isn't it?

My toddler was rather annoyed when I turned off abc kids to watch a Mercedes add .

 

[Learning]

Has Akida got its head in the clouds?

The original Business wire article from @Csharmo talks about SiFive and Akida at the edge. But which edge are they talking about?

SiFive Intelligence™ solutions with their highly configurable multi-core, multi-cluster capable design, integrate software and hardware to accelerate AI/ML applications. The integration of BrainChip’s Akida technology and SiFive’s multi-core capable RISC-V processors will provide a highly efficient solution for integrated edge AI compute.

SiFive Intelligence™-based processors offer industry leading performance and efficiency for AI and ML workloads. The highly configurable multi-core, multi-cluster capable design has been optimized for the broadest range of applications requiring high-throughput, single-thread performance while under the tightest power and area constraints.

“Employing Akida, BrainChip’s specialized, differentiated AI engine, with high-performance RISC-V processors such as the SiFive Intelligence Series is a natural choice for companies looking to seamlessly integrate an optimized processor to dedicated ML accelerators that are a must for the demanding requirements of edge AI computing,” said Chris Jones, vice president, products at SiFive. “BrainChip is a valuable addition to our ecosystem portfolio”.

The original Business wire article from @Csharmo talks about SiFive and Akida at the edge. But which edge are they talking about?

https://www.sifive.com/cores/intelligence-x280

The SiFive® Intelligence™ X280 is a multi-core capable RISC-V processor with vector extensions and SiFive Intelligence Extensions and is optimized for AI/ML compute at the edge.
In addition to ML inferencing, it is ideal for applications requiring high-throughput, single-thread performance while under power constraints (e.g., AR, VR, sensor hubs, IVI systems, IP cameras, digital cameras, gaming devices).

There are some pretty heavy processing loads there - so not your fridge nose.

Then we get to the FB post:


The fastest CPU core announced to date from SiFive is the P650 core which has up to a 50% performance improvement over its predecessor, the P550. SiFive achieved that level of performance uplift by widening the out-of-order execution over the P550 and improving clock speeds.

Using the integer SPEC performance benchmark (SPECint) and normalizing for clock speed, SiFive says the P650 will be comparable to the Arm Cortex-A77 announced about three years ago. SiFive also offers customers the ability to build multicore complexes with up to 16 CPU cores.

[### The cortex A77 is used in the Samsung Galaxy S10 Note. So this is much more at the thick end of the edge.]

The company’s performance trajectory suggest that it will be able to meet or exceed the performance of the best Arm cores, including the Arm Neoverse core for data center applications, within the next few years. To get there, SiFive will need to build multiple CPU design teams that can deliver a constant stream of new and improved CPU designs based on the latest semiconductor process nodes and hence it needs to hire mode engineers.

There has been some discussion about Akida in the cloud before. SiFive need to be able to match or better ARM's cloud servers. So combining their CPU with power saving and acceleration from Akida may be the answer.

The question is, does this put Akida on the stairway to heaven?

Thank you Diogenese,

For your technical explanation of possibilities.

Its great to be a shareholder

 

[Yoda]

Yep,...that's it. Beautiful to hear isn't it?

I love it and it has our Akida in it! Can't wait to own one . . .

 

[Fact Finder]

Has Akida got its head in the clouds?

The original Business wire article from @Csharmo talks about SiFive and Akida at the edge. But which edge are they talking about?

SiFive Intelligence™ solutions with their highly configurable multi-core, multi-cluster capable design, integrate software and hardware to accelerate AI/ML applications. The integration of BrainChip’s Akida technology and SiFive’s multi-core capable RISC-V processors will provide a highly efficient solution for integrated edge AI compute.

SiFive Intelligence™-based processors offer industry leading performance and efficiency for AI and ML workloads. The highly configurable multi-core, multi-cluster capable design has been optimized for the broadest range of applications requiring high-throughput, single-thread performance while under the tightest power and area constraints.

“Employing Akida, BrainChip’s specialized, differentiated AI engine, with high-performance RISC-V processors such as the SiFive Intelligence Series is a natural choice for companies looking to seamlessly integrate an optimized processor to dedicated ML accelerators that are a must for the demanding requirements of edge AI computing,” said Chris Jones, vice president, products at SiFive. “BrainChip is a valuable addition to our ecosystem portfolio”.

The original Business wire article from @Csharmo talks about SiFive and Akida at the edge. But which edge are they talking about?

https://www.sifive.com/cores/intelligence-x280

The SiFive® Intelligence™ X280 is a multi-core capable RISC-V processor with vector extensions and SiFive Intelligence Extensions and is optimized for AI/ML compute at the edge.
In addition to ML inferencing, it is ideal for applications requiring high-throughput, single-thread performance while under power constraints (e.g., AR, VR, sensor hubs, IVI systems, IP cameras, digital cameras, gaming devices).

There are some pretty heavy processing loads there - so not your fridge nose.

Then we get to the FB post:


The fastest CPU core announced to date from SiFive is the P650 core which has up to a 50% performance improvement over its predecessor, the P550. SiFive achieved that level of performance uplift by widening the out-of-order execution over the P550 and improving clock speeds.

Using the integer SPEC performance benchmark (SPECint) and normalizing for clock speed, SiFive says the P650 will be comparable to the Arm Cortex-A77 announced about three years ago. SiFive also offers customers the ability to build multicore complexes with up to 16 CPU cores.

[### The cortex A77 is used in the Samsung Galaxy S10 Note. So this is much more at the thick end of the edge.]

The company’s performance trajectory suggest that it will be able to meet or exceed the performance of the best Arm cores, including the Arm Neoverse core for data center applications, within the next few years. To get there, SiFive will need to build multiple CPU design teams that can deliver a constant stream of new and improved CPU designs based on the latest semiconductor process nodes and hence it needs to hire mode engineers.

There has been some discussion about Akida in the cloud before. SiFive need to be able to match or better ARM's cloud servers. So combining their CPU with power saving and acceleration from Akida may be the answer.

The question is, does this put Akida on the stairway to heaven?

Hi @Diogenese I have no doubt you are 100% on the right track and SiFive is intending to dominate the cloud with AKIDA.

The thesis I posted for you and the Forbes article as well as this following article makes it a definite brainer:

RISC-V AI Chips Will Be Everywhere

Esperanto Techology’s chip heralds new era in open-source architecture; Intel set to cash in

spectrum.ieee.org

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Foxdog]

Check this out for some background knowledge:

What is RISC-V? (2021) | Learn Technology in 5 Minutes | Makerdemy – RISC-V International

riscv.org

 

[Fact Finder]

THE MERCEDES VIDEO IS SOMETHING OUR INVESTMENT DREAMS FOR BRAINCHIP HAVE BEEN BUILT ON MADE REAL.

Thank you to all who have shared this I have only watched it three times but on my phone and cannot wait to see it on the big screen. When we are mega rich we could hire the IMAX theatre at Darling Harbour for the $10.00 party and have it running on a loop.



My opinion only DYOR
FF

AKIDA BALLISTA

 

[Slymeat]

Hi @Doigenese

This one is for you a thesis proving the viability and benefits of combining SNN with RSIC-V:

https://webthesis.biblio.polito.it/18187/1/tesi.pdf

Seems to be a very good idea.

FF.

Indeed! This Masters thesis, written in the 2020-2021 academic year (it would be nice to know the actual date), seems quite relevant to the SiFive—Brainchip partnership. It seems to indicate the inter-working between RISC-V and a SNN is possible, but unfortunately the conclusion contains nothing definitive (at least to my eye), which is a shame as I usually judge the worth of further reading an article by first skimming the Introduction and the Conclusion.

I do love, and agree 100% with, the quote from Hawking at the start.

”Intelligence is the ability to adapt to change”— Stephen Hawking

I encourage people to read the Introduction, Chapter 1 and Sections 2.1 and 2.2 as they form quite a good read for anyone wishing to be more informed about the background behind RISC, CISC, and SNN. They are written in a general manner and are easy to read. It’s a dozen pages at most. The academic stuff starts after these sections.

I skimmed through the other sections but didn’t think I’d get much out of reading them in depth. How the devices were built and coded was not really of interest to me, I just wanted to find out if the integration worked.

It would be quite interesting to see the same study repeated today, with the ability to remove all the simulation. But hey, that might just be happening in a non-academic stadium In the partnership between SiFive and Brainchip. The resultant system on a chip will be a marvel to behold.

I notice in the paper that they had an external flash store, and played with SRAM on chip and hence the need for a boot ROM To load the program. With WeebitNano’s ReRAM all persistent data could be stored on the chip and the program could be in an always ready state with no need for reload, even in the absence of power. All initiations could be via the spikes in the SNN. Just say’n.

 

[alwaysgreen]

Gives me goosebumps! If we are in every single Mercedes electric model in 3 years, it will also mean we are in a lot of other cars, gaming device's, sensors etc then surely we will be at $10 per share. Minimum!

 

[Slymeat]

I’d love to see “Akida inside“ labels in the future, but it seems that will never happen.

We are left to judge Akida’s success only by counting the revenue. C'est la vie! But it will be a good problem for investors to have.

 

[Chilling]

on the 19th when they launch the electric SUV EQS - i am hoping there will be akida in it. If it is - if yes, hope we have an announcement soon - because EQS is not a concept car and something which is available 2022.

Hoping is not the word I would use we should all be praying even those of us who aren't religious.

 

[Learning]

Has Akida got its head in the clouds?

The original Business wire article from @Csharmo talks about SiFive and Akida at the edge. But which edge are they talking about?

SiFive Intelligence™ solutions with their highly configurable multi-core, multi-cluster capable design, integrate software and hardware to accelerate AI/ML applications. The integration of BrainChip’s Akida technology and SiFive’s multi-core capable RISC-V processors will provide a highly efficient solution for integrated edge AI compute.

SiFive Intelligence™-based processors offer industry leading performance and efficiency for AI and ML workloads. The highly configurable multi-core, multi-cluster capable design has been optimized for the broadest range of applications requiring high-throughput, single-thread performance while under the tightest power and area constraints.

“Employing Akida, BrainChip’s specialized, differentiated AI engine, with high-performance RISC-V processors such as the SiFive Intelligence Series is a natural choice for companies looking to seamlessly integrate an optimized processor to dedicated ML accelerators that are a must for the demanding requirements of edge AI computing,” said Chris Jones, vice president, products at SiFive. “BrainChip is a valuable addition to our ecosystem portfolio”.

The original Business wire article from @Csharmo talks about SiFive and Akida at the edge. But which edge are they talking about?

https://www.sifive.com/cores/intelligence-x280

The SiFive® Intelligence™ X280 is a multi-core capable RISC-V processor with vector extensions and SiFive Intelligence Extensions and is optimized for AI/ML compute at the edge.
In addition to ML inferencing, it is ideal for applications requiring high-throughput, single-thread performance while under power constraints (e.g., AR, VR, sensor hubs, IVI systems, IP cameras, digital cameras, gaming devices).

There are some pretty heavy processing loads there - so not your fridge nose.

Then we get to the FB post:


The fastest CPU core announced to date from SiFive is the P650 core which has up to a 50% performance improvement over its predecessor, the P550. SiFive achieved that level of performance uplift by widening the out-of-order execution over the P550 and improving clock speeds.

Using the integer SPEC performance benchmark (SPECint) and normalizing for clock speed, SiFive says the P650 will be comparable to the Arm Cortex-A77 announced about three years ago. SiFive also offers customers the ability to build multicore complexes with up to 16 CPU cores.

[### The cortex A77 is used in the Samsung Galaxy S10 Note. So this is much more at the thick end of the edge.]

The company’s performance trajectory suggest that it will be able to meet or exceed the performance of the best Arm cores, including the Arm Neoverse core for data center applications, within the next few years. To get there, SiFive will need to build multiple CPU design teams that can deliver a constant stream of new and improved CPU designs based on the latest semiconductor process nodes and hence it needs to hire mode engineers.

There has been some discussion about Akida in the cloud before. SiFive need to be able to match or better ARM's cloud servers. So combining their CPU with power saving and acceleration from Akida may be the answer.

The question is, does this put Akida on the stairway to heaven?

So this is could be the possibility near future?

BSC, Codeplay and SiFive help accelerate applications on RISC-V thanks to V-extension support in LLVM

The Barcelona Supercomputing Center (BSC) has been collaborating with Codeplay Software and SiFive to implement support for the RISC-V V-extension v0.10 in the LLVM compilation infrastructure.

www.bsc.es

Its great to be a shareholder.

 

[alwaysgreen]

I love Coldplay!

It really is great to be a shareholder at this stage of the journey.

Hockey stick revenue growth this time next year.

 

[yogi]

THE MERCEDES VIDEO IS SOMETHING OUR INVESTMENT DREAMS FOR BRAINCHIP HAVE BEEN BUILT ON MADE REAL.

Thank you to all who have shared this I have only watched it three times but on my phone and cannot wait to see it on the big screen. When we are mega rich we could hire the IMAX theatre at Darling Harbour for the $10.00 party and have it running on a loop.



My opinion only DYOR
FF

AKIDA BALLISTA

Morning FF its so exciting but how will our ASX market react that is another ball game isn't it. With such a good news yesterday it didn't manage to go green but managed to snap up small parcel just to make sure it doesnt go to manipulators hand. I did what with what ever fund i had hoping one day this investment will bring good return. I am into my mid 50"s and my investment is for our retirement as well.
Cheers and good luck to BRN teeam and holders of great faith for Akida.

 

[Slymeat]

Has Akida got its head in the clouds?

The original Business wire article from @Csharmo talks about SiFive and Akida at the edge. But which edge are they talking about?

SiFive Intelligence™ solutions with their highly configurable multi-core, multi-cluster capable design, integrate software and hardware to accelerate AI/ML applications. The integration of BrainChip’s Akida technology and SiFive’s multi-core capable RISC-V processors will provide a highly efficient solution for integrated edge AI compute.

SiFive Intelligence™-based processors offer industry leading performance and efficiency for AI and ML workloads. The highly configurable multi-core, multi-cluster capable design has been optimized for the broadest range of applications requiring high-throughput, single-thread performance while under the tightest power and area constraints.

“Employing Akida, BrainChip’s specialized, differentiated AI engine, with high-performance RISC-V processors such as the SiFive Intelligence Series is a natural choice for companies looking to seamlessly integrate an optimized processor to dedicated ML accelerators that are a must for the demanding requirements of edge AI computing,” said Chris Jones, vice president, products at SiFive. “BrainChip is a valuable addition to our ecosystem portfolio”.

The original Business wire article from @Csharmo talks about SiFive and Akida at the edge. But which edge are they talking about?

https://www.sifive.com/cores/intelligence-x280

The SiFive® Intelligence™ X280 is a multi-core capable RISC-V processor with vector extensions and SiFive Intelligence Extensions and is optimized for AI/ML compute at the edge.
In addition to ML inferencing, it is ideal for applications requiring high-throughput, single-thread performance while under power constraints (e.g., AR, VR, sensor hubs, IVI systems, IP cameras, digital cameras, gaming devices).

There are some pretty heavy processing loads there - so not your fridge nose.

Then we get to the FB post:


The fastest CPU core announced to date from SiFive is the P650 core which has up to a 50% performance improvement over its predecessor, the P550. SiFive achieved that level of performance uplift by widening the out-of-order execution over the P550 and improving clock speeds.

Using the integer SPEC performance benchmark (SPECint) and normalizing for clock speed, SiFive says the P650 will be comparable to the Arm Cortex-A77 announced about three years ago. SiFive also offers customers the ability to build multicore complexes with up to 16 CPU cores.

[### The cortex A77 is used in the Samsung Galaxy S10 Note. So this is much more at the thick end of the edge.]

The company’s performance trajectory suggest that it will be able to meet or exceed the performance of the best Arm cores, including the Arm Neoverse core for data center applications, within the next few years. To get there, SiFive will need to build multiple CPU design teams that can deliver a constant stream of new and improved CPU designs based on the latest semiconductor process nodes and hence it needs to hire mode engineers.

There has been some discussion about Akida in the cloud before. SiFive need to be able to match or better ARM's cloud servers. So combining their CPU with power saving and acceleration from Akida may be the answer.

The question is, does this put Akida on the stairway to heaven?

I believe Akida is still at the “far-edge”, to use a term coined by Rob Telson (I believe). Where the actual inputs are processed to differenciate the important stuff from the noise. And where micro- and milli-watts are consumed

The term “edge” has unfortunately seemed to shift a fair way away from the far-edge. It now encompasses not only the entire smart sensor but actuators to respond to sensor, mechanisms to perform an activity, and mechanisms to provide feedback up the chain - ultimately to a human operator . i.e. the entire system. Power consumption will still be important, but I dare say it might be slipping up into partial watts.

Maybe this edge is more the point from which the human operator no longer needs to care about what goes on under the bonnet. This definition of an edge could be applied to physical objects such as cameras, car dash boards and the like.

The SiFive—BrainChip partnership seems to be creating something that will satisfy this edge, and that’s Ok by me because that is an easy edge to market and for the world to relate to. The world loves a system that does something tangeable. I think the general consumer market struggles to recognise the advantages of a spiking neural network. So let’s stop confusing them.

A Polish colleague of mine, who learnt English as a second language and hence was VERY specific with grammar, would have said this edge is not “the edge” but rather is just “an edge”. There are many interfaces that can be called “an edge” and even “another edge” but there is only one that can be called “the edge”.

“The edge” is, in all reality, the “far-edge”! The point where the stimuli and initial responses exist!

 

[RobjHunt]

Yep,...that's it. Beautiful to hear isn't it?

Yes, it certainly is!!

 

[Slymeat]

Yep I agree. Hopefully the significance of this tech will still be realised by the mainstream otherwise I think BRN's PE ratio will remain subdued. The market will want to know who is using AKIDA and what the technology actually does, otherwise the SP will always be undervalued if based solely on reported revenue and not potential future growth.
The 1000 eyes might need to become the 500 mouths to spread the word around

Once revenue starts rolling in, analysts (both professional and amateur alike) will be able to assign a value based ONLY on revenue and the guesses they use in their DCF analysis. They will think themselves VERY clever when they then buy into a perceived undervalued stock and will follow the money trail. And this can actually be a safe and profitable investment approach—for mature industries. This type of investor doesn’t need to understand the technology nor even know where the technology is used, so many are driven by fictitious valuations.

Profitable is good—safe is boring! But sometimes boring is good too!

I’d love to see “Akida Inside” labelling, but knowing hat will never happen, I have to be satisfied by the huge number of sheep who will jump on board once the revenue starts rolling in. And they will number in the millions!

I prefer to follow the science. It never lies or tries to deceive!

And I prefer to follow the science before too many others know it even exists.