BRN Discussion Ongoing

[buena suerte :-)]

Macca
Concur with your comment re Dodgy knees. He is an asset to this group as are a number of great informative posters so thanks too

Yep some awesome research, time and knowledge shared generously here @tse... Also a big shout out to you @Earlyrelease & Tony Dawe for your great efforts as our 'Social events coordinators' here in WA .... many drinks and chats have been shared with fellow Chippers ... Looking forward to the next one!!

 

[alwaysgreen]

WBT up 2% today and up 50% over the past 6 months. Why? Loads of great news and the CEO recently held a "Meet and greet event" with the shareholders where he disclosed that they were confident in signing with a Tier 1 fab prior to Christmas.

BRN - hold a meeting and release some of your secrets

 

[Diogenese]

Hi Macca,

It is significant, but it is not Akida.

IMEC is analog NNs.


EP3674982A1 HARDWARE ACCELERATOR ARCHITECTURE FOR CONVOLUTIONAL NEURAL NETWORK


EP3671750A1 SYNAPSE CIRCUIT WITH MEMORY


EP3671568A1 BINARY RECURRENT NEURAL NETWORK INFERENCE TECHNIQUE


EP3671748A1 IN-MEMORY COMPUTING FOR MACHINE LEARNING


US2020210822A1 Multibit Neural Network


US2020151550A1 Machine Learning Accelerator


US2020159809A1 Convolution Engine for Neural Networks

IMEC are still in prototype stage of their Capacitive FeRAM, so I would guess it will be a few years before they are production-ready. After all, they probably have not experienced the immediate commercial urgency of manufacturers - IMEC = Interuniversity Microelectronics Centre (IMEC) .

https://www.newelectronics.co.uk/co...earer-to-developing-feram-memory-applications

“Now we have a high-performance, scalable, and CMOS-compatible ferroelectric capacitor technology that will bring us to the next exciting phase, i.e., moving from planar to 3D FeRAM capacitor structures – leveraging atomic layer deposition (ALD) processes,” added Van Houdt. “This will increase the density needed to bring FeRAM memories to the market as a new embedded or standalone memory.”

 

[rgupta]

WBT up 2% today and up 50% over the past 6 months. Why? Loads of great news and the CEO recently held a "Meet and greet event" with the shareholders where he disclosed that they were confident in signing with a Tier 1 fab prior to Christmas.

BRN - hold a meeting and release some of your secrets

Different strategies, different goals and different outcomes.
But for long term holders that does matter because results will come in the long run.
So yes if you believe then buy the dip, if donot believe then go with the market.
Brainchip have much bigger ethics than any company of its size.

 

[Diogenese]

Cheers.

Is intriguing as you say though appears one thought last year was already to aim for 22nm and indicated AKD500 might be the implementation

Obviously mentioned 90nm as well which would tie in with NASA as you point out.

Akida spiking neural processor could head to FDSOI

Startup BrainChip Inc. has a road-map of larger and smaller SoC exemplars of its Akida spiking neural networking processing architecture and could go to fully-depleted silicon on insulator (FDSOI).

www.eenewseurope.com

Anil Mankar, chief development officer, told eeNews Europe: “Chip production volume is just starting now. But you will see a lot of IP licensing going forward.” He added: “We are process agnostic.”

The near-term focus is supplying the Akida IP to 22nm although some customers may go back to 90nm process, Akida executives said.

Rob Telson, vice president of worldwide sales, said BrainChip is drawing up plans for smaller and larger versions of Akida under the names Akida500, Akida1500 and Akida2000. Some of these may well comply to a new generation of the Akida architecture – Akida 2.0 – due to arrive in 2022. It is thought Akida500 could be implemented in 22nm FDSOI manufacturing process, and serve as a demonstrator of the agnostic nature of the Akida architecture.

Now look what you made me do:

What is FDSOI anyway?

https://anysilicon.com/fdsoi/

FDSOI stands for Fully Depleted Silicon on Insulator. FDSOI is a planar process technology that provides an alternative solution to overcome some of the limitations of bulk CMOS technology at reduced silicon geometries and smaller nodes.

The FDSOI process has two distinct features. First starting with the substrate, an ultra-thin buried oxide layer is placed on the top of the base silicon. Second, a very thin silicon layer on top, creates the transistor channel. The FDSOI transistor is built above the buried-oxide layer. It has a raised source and drain and a very thin uniform channel under the gate. As the transistor channel layer is very thin, no channel doping is required, which makes the transistor fully depleted. The resulting FDSOI device is shown in the illustration in Fig. 1.1.

Fig. 1.1: FDSOI transistor

FDSOI is not only an alternative to continued CMOS scaling beyond 28nm node but also proves to be useful in improving the performances of older technology nodes when redeveloped using this process.

Two IDMs, STMicroelectronics and Renesas, also have their own FDSOI technology. STMicroelectronics adopted FD-SOI technology in 2012 and started several projects. STMicroelectronics is now using this technology for many diversified market applications. Renesas has a 65nm version of FDSOI called silicon-on-thin-BOx (SOTB), which targets ultra-low-power MCU markets. A partnership on FDSOI fabrication between ST and Samsung Foundry was announced in 2014. Today, two out of the world’s top foundries offer FDSOI technology fabrication. Samsung offers its 28nm and GF has its 22nm node fully developed for production. Many companies such as NXP, Sony, Mobileye started projects on FDSOI technology after the foundry system was in place. Today the IPs are well developed to make any sort of application possible. Both Samsung and GLOBAL FOUNDRIES are also developing its 18nm and 12nm nodes for future production, respectively. In Feb 2017, GF announced its plans to expand the capacity of its Fab 1 facility in Dresden due to market’s growing interest. In September 2017, Soitec announced to re-open its Singapore fab to meet increasing customer demand for wafers.
...
It provides improved speed and reduced power consumption* through a simple manufacturing process, so the power-performance-area-cost tradeoff is very good as compared to both bulk-CMOS and FinFet.
...
This technology is already supported by multiple foundries and IP solution providers for 28nm & 22 nm. The future roadmap 12nm is already in place and the process can be scaled down below 10 nm as well.

* Any more power reduction and Akida will become endothermal.

From "WayBack", this article appears to have been updated in November 2022.

 

[SERA2g]

In regards to our company name I would prefer Akida. It's not confusing and a lot cooler, saying that at some point you are known as something and sometimes it just sticks.

I disagree with this, respectfully of course!

Akida, what does that even mean? Prior to owning Brainchip shares, I had no idea that akida was the greek work for spike.

Now, knowing as I do know that akida is based on a spiking neural network, akida makes sense for the product name.

For the company though, as a producer artificial intelligence IP inspired by the human brain, Brainchip makes complete sense for the company name.

I don't need to know what a neural network or a spike is to understand what "Brainchip" means.

The name Brainchip has also, by pure chance, worked well for us in regards to raising awareness of the company because of it's likeness to Neuralink. You would have all seen articles about Neuralink on twitter. If you google "elon musk neuralink" there are hundreds of articles and videos which refer to Elon's chip as "brain chip".

All good reasons why Brainchip is a great company name.

 

[Fullmoonfever]

Now look what you made me do:

What is FDSOI anyway?

https://anysilicon.com/fdsoi/

FDSOI stands for Fully Depleted Silicon on Insulator. FDSOI is a planar process technology that provides an alternative solution to overcome some of the limitations of bulk CMOS technology at reduced silicon geometries and smaller nodes.

The FDSOI process has two distinct features. First starting with the substrate, an ultra-thin buried oxide layer is placed on the top of the base silicon. Second, a very thin silicon layer on top, creates the transistor channel. The FDSOI transistor is built above the buried-oxide layer. It has a raised source and drain and a very thin uniform channel under the gate. As the transistor channel layer is very thin, no channel doping is required, which makes the transistor fully depleted. The resulting FDSOI device is shown in the illustration in Fig. 1.1.


View attachment 23700


Fig. 1.1: FDSOI transistor

FDSOI is not only an alternative to continued CMOS scaling beyond 28nm node but also proves to be useful in improving the performances of older technology nodes when redeveloped using this process.

Two IDMs, STMicroelectronics and Renesas, also have their own FDSOI technology. STMicroelectronics adopted FD-SOI technology in 2012 and started several projects. STMicroelectronics is now using this technology for many diversified market applications. Renesas has a 65nm version of FDSOI called silicon-on-thin-BOx (SOTB), which targets ultra-low-power MCU markets. A partnership on FDSOI fabrication between ST and Samsung Foundry was announced in 2014. Today, two out of the world’s top foundries offer FDSOI technology fabrication. Samsung offers its 28nm and GF has its 22nm node fully developed for production. Many companies such as NXP, Sony, Mobileye started projects on FDSOI technology after the foundry system was in place. Today the IPs are well developed to make any sort of application possible. Both Samsung and GLOBAL FOUNDRIES are also developing its 18nm and 12nm nodes for future production, respectively. In Feb 2017, GF announced its plans to expand the capacity of its Fab 1 facility in Dresden due to market’s growing interest. In September 2017, Soitec announced to re-open its Singapore fab to meet increasing customer demand for wafers.
...
It provides improved speed and reduced power consumption* through a simple manufacturing process, so the power-performance-area-cost tradeoff is very good as compared to both bulk-CMOS and FinFet.
...
This technology is already supported by multiple foundries and IP solution providers for 28nm & 22 nm. The future roadmap 12nm is already in place and the process can be scaled down below 10 nm as well.

* Any more power reduction and Akida will become endothermal.

So the clues in that 2021 article were there and could be what's happening now then?

Some decent names using the process it seems....wonder who owns the third party device referenced by Chittipeddi

 

[Diogenese]

same here

Bugger again!

I'm still saving my pennies for Talga options next week.

 

[alwaysgreen]

Different strategies, different goals and different outcomes.
But for long term holders that does matter because results will come in the long run.
So yes if you believe then buy the dip, if donot believe then go with the market.
Brainchip have much bigger ethics than any company of its size.

Respectfully, I don't want dips. I am full to my limit on BRN and am now not buying any more so "dips" don't help me. Especially 16% dips in a week.

 

[Diogenese]

Respectfully, I don't want dips. I am full to my limit on BRN and am now not buying any more so "dips" don't help me. Especially 16% dips in a week.

Maybe you could tune your suspension for the corrugations until we hit the bitumen.

 

[alwaysgreen]

Maybe you could tune your suspension for the corrugations until we hit the bitumen.

 

[Straw]

I disagree with this, respectfully of course!

Akida, what does that even mean? Prior to owning Brainchip shares, I had no idea that akida was the greek work for spike.

Now, knowing as I do know that akida is based on a spiking neural network, akida makes sense for the product name.

For the company though, as a producer artificial intelligence IP inspired by the human brain, Brainchip makes complete sense for the company name.

I don't need to know what a neural network or a spike is to understand what "Brainchip" means.

The name Brainchip has also, by pure chance, worked well for us in regards to raising awareness of the company because of it's likeness to Neuralink. You would have all seen articles about Neuralink on twitter. If you google "elon musk neuralink" there are hundreds of articles and videos which refer to Elon's chip as "brain chip".

All good reasons why Brainchip is a great company name.

All fair points.

 

[buena suerte :-)]

I disagree with this, respectfully of course!

Akida, what does that even mean? Prior to owning Brainchip shares, I had no idea that akida was the greek work for spike.

Now, knowing as I do know that akida is based on a spiking neural network, akida makes sense for the product name.

For the company though, as a producer artificial intelligence IP inspired by the human brain, Brainchip makes complete sense for the company name.

I don't need to know what a neural network or a spike is to understand what "Brainchip" means.

The name Brainchip has also, by pure chance, worked well for us in regards to raising awareness of the company because of it's likeness to Neuralink. You would have all seen articles about Neuralink on twitter. If you google "elon musk neuralink" there are hundreds of articles and videos which refer to Elon's chip as "brain chip".

All good reasons why Brainchip is a great company name.

Totally agree mate it's a great name ... and I'm slightly bias of course.. BRN 1

 

[DollazAndSense]

Well the newest podcast with Sally was certainly interesting. To me, it seems like she is quite hesitant to acknowledge the technological achievement of Akida as little more than a ‘niche’ product.

Not phased one little bit about a journalists opinion but Sally came across as quite dismissive. This is to be expected however and shows the challenge Brainchip’s team faces in selling our technology to customers. We’ll get there but it seems patience is going to be required for quite a while yet.

 

[Fact Finder]

In regards to our company name I would prefer Akida. It's not confusing and a lot cooler, saying that at some point you are known as something and sometimes it just sticks.

Though a quick Google could cause someone to think it is a canine or a Japanese cartoon character.

The reality is that AKIDA is being sold to industry who will not be confused by the name Brainchip Inc and will in most cases for many years not see commercial value in proudly proclaiming that the brilliance of their product is down to some other companies Science Fiction.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[HopalongPetrovski]

I disagree with this, respectfully of course!

Akida, what does that even mean? Prior to owning Brainchip shares, I had no idea that akida was the greek work for spike.

Now, knowing as I do know that akida is based on a spiking neural network, akida makes sense for the product name.

For the company though, as a producer artificial intelligence IP inspired by the human brain, Brainchip makes complete sense for the company name.

I don't need to know what a neural network or a spike is to understand what "Brainchip" means.

The name Brainchip has also, by pure chance, worked well for us in regards to raising awareness of the company because of it's likeness to Neuralink. You would have all seen articles about Neuralink on twitter. If you google "elon musk neuralink" there are hundreds of articles and videos which refer to Elon's chip as "brain chip".

All good reasons why Brainchip is a great company name.

I too like Brainchip although would prefer it BrainChip.
The main thing I like about it is, it's just so easy to remember.
It is a concept which already has an innate depth of meaning (at least in the west) and is also a little science fiction which adds to the memorability and also lends it a certain panache and geek sheik.
It is also a universally understandable conception in one word and was indeed the first thing to grab my curiosity when I first stumbled upon it, a 'coons age ago.
You don't need to be a nerd or highly technically literate to appreciate an easy idea of just what our Company is going for.
Granted, a little research will soon perhaps dispel the idea that we are not in actuality Cyberdyne incarnate, but by then many are hooked by the perhaps dimly grasped potential and the vague understanding that one may just have stumbled upon a next generation behemoth in the making.

I also like AKIDA as a name for our first line of product, although personally wish they could have kept our synapse logo.

I understand the more "perhaps" corporate rebrand and whilst I appreciate its "professionalism" liked the whimsy of the logo which is not language specific much like Apple's now eponymous symbol.

I think Elon has a touch of the marketing genius in the names he chooses to represent his organisations....
PayPal, Tesla, Space X, Neuralink etc.... again, all somewhat recognisable at first glance and indeed first contact.

I am glad that with Brainchip, we have stolen a march on him, in this instance.

 

[Diogenese]

Though a quick Google could cause someone to think it is a canine or a Japanese cartoon character.

The reality is that AKIDA is being sold to industry who will not be confused by the name Brainchip Inc and will in most cases for many years not see commercial value in proudly proclaiming that the brilliance of their product is down to some other companies Science Fiction.

My opinion only DYOR
FF

AKIDA BALLISTA

... but now that Mercedes has shattered the zone of silence, I think that once other customers are near production, they will want to take advantage of Akida as a selling point.

"Coming soon, Tandoorator, the AI refrigerator that mixes your biryani while you munch chappati- AKIDA INSIDE!"

 

[David holland]

Well the newest podcast with Sally was certainly interesting. To me, it seems like she is quite hesitant to acknowledge the technological achievement of Akida as little more than a ‘niche’ product.

Not phased one little bit about a journalists opinion but Sally came across as quite dismissive. This is to be expected however and shows the challenge Brainchip’s team faces in selling our technology to customers. We’ll get there but it seems patience is going to be required for quite a while yet.

Couldn't agree more certainly wasn't on there to piss in the pockets of brainchip holders

 

[HopalongPetrovski]

... but now that Mercedes has shattered the zone of silence, I think that once other customers are near production, they will want to take advantage of Akida as a selling point.

"Coming soon, Tandoorator, the AI refrigerator that mixes your biryani while you munch chappati- AKIDA INSIDE!"

 

[Fullmoonfever]

Latest Accenture Report came out towards the end of Nov.

Unleashing the full potential of AI

Unleashing the full potential of AI

The semiconductor industry is key to unlocking the full potential of #AI. Semiconductor manufacturers have the opportunity to play a leading role in driving the next wave of computing. See how:

www.accenture.com

Not a bad read for a general overview on their assessment of AI and Semi Industry.

Quite liked this image they used which appears borrowed from a 2015 paper.

Computing beyond Moore's Law (Journal Article) | OSTI.GOV

Here, photolithography systems are on pace to reach atomic scale by the mid-2020s, necessitating alternatives to continue realizing faster, more predictable, and cheaper computing performance. If the end of Moore's law is real, a research agenda is needed to assess the viability of novel...

www.osti.gov

A table I also found interesting was the costs.

On their web I found a small research section where they did their own POC voice control in 2021:

NEUROMORPHIC COMPUTING: ENERGY-EFFICIENT SMART CARS WITH ADVANCED VOICE CONTROL

Was based on Intel but hey, I don't mind if they blaze away generating industry interest for us to swoop in as the best available for immediate uptake

Neuromorphic Computing | Accenture

Every organization needs to shape its computational variety strategy to meet growing demands from consumers. Learn how to stay ahead of increasing competition.

www.accenture.com

Speaker 1: Tim Shea, a research scientist at
Accenture Labs, has been working with an
automotive client on prototyping the use of
neuromorphic computing to help people interact
with smart vehicles.

Speaker 2: Consumer demand for AI driven
experiences is increasing rapidly, especially in
the automotive industry. Customers expect
responsive voice, gesture, and contextual
intelligence from their vehicles. But current AI
hardware is too power hungry, which can impact
vehicle performance and limit the possible
applications. Smart vehicles need more efficient
edge AI devices to meet the demand.

Using edge AI devices to compliment cloud
based AI could also increase responsiveness
and improve reliability when connectivity is poor.

So we've built a proof of concept system with
one of our major automotive partners to
demonstrate that neuromorphic computing can
make cars smarter without draining the
batteries. We're using Intel's Kapoho Bay to
recognize voice commands that an owner would
give to their vehicle. The Kapoho Bay is a
portable and extremely efficient neuromorphic
research device for AI at the edge.

We're comparing that proof of concept system
against a standard approach using a GPU. To
build the system, we trained spiking neural
networks to differentiate between command
phrases. Then we ran the trains networks on
the Kapoho Bay. We connected the Kapoho
Bay to a microphone and a controller similar to
the electronic control units that operate various
functions of a smart vehicle.

We're targeting commands that reflect features
that can be accessed from outside a smart
vehicle, such as park here, or unlock passenger
door. These functions also need to be energy
efficient, so the vehicle can remain responsive
even when parked for long stretches of time.

As a first step, we trained the system to
recognize simple commands, such as lights on
and lights off, open door, close door, or start
engine. Using a combination of open source
voice recordings and a smaller sample of
specific commands, we can approximate the
kinds of voice processing needed for smart
vehicles. We tested this approach by comparing
our train spiking neural networks running on
Intel's neuromorphic research cloud against a
convolutional neural network, running on a
GPU.

Both systems achieved acceptable accuracy
recognizing our voice commands, but we found
that the neuromorphic system was up to a
thousand times more efficient than the standard
AI system with a GPU. This is extremely
impressive and it's consistent with the results
from other labs, as Intel will show further in their
session on benchmarking the Intel OAE.

The neuromorphic system also responded up to
200 milliseconds faster than the GPU. This
dramatic improvement in energy efficiency for
our task comes from the fact that computation
in Loihi is extremely sparse. While the GPU
performs billions of computations per second,
every second, the neuromorphic chip only
processes changes in the audio signal and
neuron cores inside low Loihi communicate
efficiently with spikes.

This project demonstrates that neuromorphic
systems can prove more efficient and more
responsive than conventional solutions for AI in
smart vehicles. This research is helping our
partners in the automotive industry understand
how Intel's neuromorphic systems might impact
their next-generation products. And it helps us
develop a roadmap for future neuromorphic
applications.

Copyright © 2021 Accenture
All rights reserved.
Accenture, its logo, and High
Performance Delivered are
trademarks of Accenture