BRN Discussion Ongoing

[rgupta]

Is it?

Hi manny100,

I presume you meant to say commercial neuromorphic Edge AI solutions rather than commercial Edge AI solutions in general? But even then, your statement is incorrect. SynSense also offers commercial neuromorphic solutions by now, and so does Innatera:

See this article dated February 6, 2024:

https://www.eetimes.com/innatera-productizes-snn-accelerator-as-neuromorphic-microcontroller/

“Innatera, a spinout from the University of Delft, has grown to 65 people with recent funding from the European Innovation Council (15.5 million Euro) alongside Matterwave Ventures and MIG Capital. Commercial samples of the T1 and hardware evaluation kits are available now while the T1 will ramp to production quantities in the second half of this year.”

After Mercedes Chief Software Officer Magnus Östberg had posted “Neuromorphic computing? We’ve got that. ” on LinkedIn earlier this year, I noticed Innatera’s CEO Sumeet Kumar commenting on his post, and subsequently two neuromorphic researchers at Mercedes liking Sumeet Kumar’s post, so those in the industry involved in neuromorphic tech are evidently aware of the choices they have besides implementing Akida. Of course all those neuromorphic solutions available differ from each other in various aspects - Innatera’s T1 spiking neural processor, for example, is not digital and does not have on-chip learning:


View attachment 63165

Magnus Östberg on LinkedIn: #neuromorphic #ml #ai #intel #leadincarsoftware | 38 comments

Neuromorphic computing? We’ve got that. 😎 Because it’s still nascent technology, I am frequently asked to describe #neuromorphic computing. It is a paradigm… | 38 comments on LinkedIn

www.linkedin.com

View attachment 63163

View attachment 63164


The BrainChip website and LinkedIn profile reflect this development by no longer talking about offering the only commercially available neuromorphic processor, but by using the term ‘first-to-market’ nowadays:

“BrainChip’s first-to-market, digital neuromorphic processor IP, akidaTM, mimics the human brain to analyze only essential sensor inputs at the point of acquisition—processing data with unparalleled performance, precision, and reduced power consumption.”


Whether or not Akida is the overall best neuromorphic solution available is an entirely different matter. But to say it is “an indisputable fact” that BrainChip offers “the only ‘cloudless’ commercial solution ATM” is simply wrong.

I do agree with you, though, regarding what you said about the BRN share price:


Regards
Frangipani

Is it?

Hi manny100,

I presume you meant to say commercial neuromorphic Edge AI solutions rather than commercial Edge AI solutions in general? But even then, your statement is incorrect. SynSense also offers commercial neuromorphic solutions by now, and so does Innatera:

See this article dated February 6, 2024:

https://www.eetimes.com/innatera-productizes-snn-accelerator-as-neuromorphic-microcontroller/

“Innatera, a spinout from the University of Delft, has grown to 65 people with recent funding from the European Innovation Council (15.5 million Euro) alongside Matterwave Ventures and MIG Capital. Commercial samples of the T1 and hardware evaluation kits are available now while the T1 will ramp to production quantities in the second half of this year.”

After Mercedes Chief Software Officer Magnus Östberg had posted “Neuromorphic computing? We’ve got that. ” on LinkedIn earlier this year, I noticed Innatera’s CEO Sumeet Kumar commenting on his post, and subsequently two neuromorphic researchers at Mercedes liking Sumeet Kumar’s post, so those in the industry involved in neuromorphic tech are evidently aware of the choices they have besides implementing Akida. Of course all those neuromorphic solutions available differ from each other in various aspects - Innatera’s T1 spiking neural processor, for example, is not digital and does not have on-chip learning:


View attachment 63165

Magnus Östberg on LinkedIn: #neuromorphic #ml #ai #intel #leadincarsoftware | 38 comments

Neuromorphic computing? We’ve got that. 😎 Because it’s still nascent technology, I am frequently asked to describe #neuromorphic computing. It is a paradigm… | 38 comments on LinkedIn

www.linkedin.com

View attachment 63163

View attachment 63164


The BrainChip website and LinkedIn profile reflect this development by no longer talking about offering the only commercially available neuromorphic processor, but by using the term ‘first-to-market’ nowadays:

“BrainChip’s first-to-market, digital neuromorphic processor IP, akidaTM, mimics the human brain to analyze only essential sensor inputs at the point of acquisition—processing data with unparalleled performance, precision, and reduced power consumption.”


Whether or not Akida is the overall best neuromorphic solution available is an entirely different matter. But to say it is “an indisputable fact” that BrainChip offers “the only ‘cloudless’ commercial solution ATM” is simply wrong.

I do agree with you, though, regarding what you said about the BRN share price:


Regards
Frangipani

To me this tweet is very informative especially from non technical and technical views.
In memory compute is what neurophonic can do but memory is very limited. Which means we need different algorithms as compared to modern day.
So to me just like prophesse had an event based camera but not an event based processor, we have an event based processor but limited memory. Which means product have unlimited capabilities but limited use. So to me it is taking time to develop efficient models for neurophonic and that is where it is taking so much of time. The task is not impossible but definitely very tough.
Dyor

 

[manny100]

Is it?

Hi manny100,

I presume you meant to say commercial neuromorphic Edge AI solutions rather than commercial Edge AI solutions in general? But even then, your statement is incorrect. SynSense also offers commercial neuromorphic solutions by now, and so does Innatera:

See this article dated February 6, 2024:

https://www.eetimes.com/innatera-productizes-snn-accelerator-as-neuromorphic-microcontroller/

“Innatera, a spinout from the University of Delft, has grown to 65 people with recent funding from the European Innovation Council (15.5 million Euro) alongside Matterwave Ventures and MIG Capital. Commercial samples of the T1 and hardware evaluation kits are available now while the T1 will ramp to production quantities in the second half of this year.”

After Mercedes Chief Software Officer Magnus Östberg had posted “Neuromorphic computing? We’ve got that. ” on LinkedIn earlier this year, I noticed Innatera’s CEO Sumeet Kumar commenting on his post, and subsequently two neuromorphic researchers at Mercedes liking Sumeet Kumar’s post, so those in the industry involved in neuromorphic tech are evidently aware of the choices they have besides implementing Akida. Of course all those neuromorphic solutions available differ from each other in various aspects - Innatera’s T1 spiking neural processor, for example, is not digital and does not have on-chip learning:


View attachment 63165

Magnus Östberg on LinkedIn: #neuromorphic #ml #ai #intel #leadincarsoftware | 38 comments

Neuromorphic computing? We’ve got that. 😎 Because it’s still nascent technology, I am frequently asked to describe #neuromorphic computing. It is a paradigm… | 38 comments on LinkedIn

www.linkedin.com

View attachment 63163

View attachment 63164


The BrainChip website and LinkedIn profile reflect this development by no longer talking about offering the only commercially available neuromorphic processor, but by using the term ‘first-to-market’ nowadays:

“BrainChip’s first-to-market, digital neuromorphic processor IP, akidaTM, mimics the human brain to analyze only essential sensor inputs at the point of acquisition—processing data with unparalleled performance, precision, and reduced power consumption.”


Whether or not Akida is the overall best neuromorphic solution available is an entirely different matter. But to say it is “an indisputable fact” that BrainChip offers “the only ‘cloudless’ commercial solution ATM” is simply wrong.

I do agree with you, though, regarding what you said about the BRN share price:


Regards
Frangipani

Hi Frangipani, I received the quoted paragraph below as part of a reply from BRN to a question I had.
The crucial word that BRN uses is "unique" which means one of a kind or unlike anything else.
The context of the quote is in relation to my query concerning 'cloud' or 'cloudless' AI at the Edge.
"We know the market is heading in our direction, and the ability to process data on The Edge is something that more and more AI applications will be expected to perform. In that case, we are uniquely positioned to capitalise on that trend."
I just asked whether they had considered having a 'switch' on AKIDA for cloud or cloudless use during the transition to cloudless Edge. No interest in that. Seems to me we are to close to worry about it.
Cheers, manny100

 

[Bravo]

Is it?

Hi manny100,

I presume you meant to say commercial neuromorphic Edge AI solutions rather than commercial Edge AI solutions in general? But even then, your statement is incorrect. SynSense also offers commercial neuromorphic solutions by now, and so does Innatera:

See this article dated February 6, 2024:

https://www.eetimes.com/innatera-productizes-snn-accelerator-as-neuromorphic-microcontroller/

“Innatera, a spinout from the University of Delft, has grown to 65 people with recent funding from the European Innovation Council (15.5 million Euro) alongside Matterwave Ventures and MIG Capital. Commercial samples of the T1 and hardware evaluation kits are available now while the T1 will ramp to production quantities in the second half of this year.”

After Mercedes Chief Software Officer Magnus Östberg had posted “Neuromorphic computing? We’ve got that. ” on LinkedIn earlier this year, I noticed Innatera’s CEO Sumeet Kumar commenting on his post, and subsequently two neuromorphic researchers at Mercedes liking Sumeet Kumar’s post, so those in the industry involved in neuromorphic tech are evidently aware of the choices they have besides implementing Akida. Of course all those neuromorphic solutions available differ from each other in various aspects - Innatera’s T1 spiking neural processor, for example, is not digital and does not have on-chip learning:


View attachment 63165

Magnus Östberg on LinkedIn: #neuromorphic #ml #ai #intel #leadincarsoftware | 38 comments

Neuromorphic computing? We’ve got that. 😎 Because it’s still nascent technology, I am frequently asked to describe #neuromorphic computing. It is a paradigm… | 38 comments on LinkedIn

www.linkedin.com

View attachment 63163

View attachment 63164


The BrainChip website and LinkedIn profile reflect this development by no longer talking about offering the only commercially available neuromorphic processor, but by using the term ‘first-to-market’ nowadays:

“BrainChip’s first-to-market, digital neuromorphic processor IP, akidaTM, mimics the human brain to analyze only essential sensor inputs at the point of acquisition—processing data with unparalleled performance, precision, and reduced power consumption.”


Whether or not Akida is the overall best neuromorphic solution available is an entirely different matter. But to say it is “an indisputable fact” that BrainChip offers “the only ‘cloudless’ commercial solution ATM” is simply wrong.

I do agree with you, though, regarding what you said about the BRN share price:


Regards
Frangipani

Hi Frangipani,

So, it's an indisputable fact that BrainChip's AKIDA is unique in that it is the only commercially available neuromorphic processor with on-chip learning, since neither Synsense nor Innatera offer on-chip learning. In that sense, Manny was on the right track IMO.

Regards,
Bravo

 

[JB49]

https://arxiv.org/pdf/2403.08928

Research done on Kuka Robotic arm utilising a Spiking Neural Network. But unfortunately it was done with Intel Loihi.

 

[Esq.111]

https://arxiv.org/pdf/2403.08928

Research done on Kuka Robotic arm utilising a Spiking Neural Network. But unfortunately it was done with Intel Loihi.

A little more on KUKA , .

Be thinking we could add something to the mix here.



Regards,
Esq.

 

[Terroni2105]

Kurt Manninen on LinkedIn: Anyone going to the Embedded Vision Summit this week? I will be manning…

Anyone going to the Embedded Vision Summit this week? I will be manning the BrainChip booth in Thursday, showing off our awesome edge vision demos! Come say…

www.linkedin.com

 

[MegaportX]

3 Stocks to Buy for 100X Gains Before the Next Tech Hype Cycle

Every investor is on the search for outsized gains. We all dream of finding that one small company that ends up changing the world and making its early shareholders fabulously wealthy. But how do you pinpoint the next “big thing” before it explodes in value? Such a task is easier said than done...

finance.yahoo.com

 

[Pom down under]

3 Stocks to Buy for 100X Gains Before the Next Tech Hype Cycle

Every investor is on the search for outsized gains. We all dream of finding that one small company that ends up changing the world and making its early shareholders fabulously wealthy. But how do you pinpoint the next “big thing” before it explodes in value? Such a task is easier said than done...

finance.yahoo.com

I’m by far the best person when it comes to writing, but I think I could even have written a better article than this

 

[supersonic001]

Microchip Technology Inc. on LinkedIn: #embeddedvision #ai #ml #vectorblox

Use AI facial recognition to unlock your door. Visit us at 2024 Embedded Vision Summit, booth 417, to see our smart door lock demo and other solutions…

www.linkedin.com

 

[Pom down under]

The US and China are meeting in Switzerland today to discuss the dangers of AI

The Geneva meeting, which is being called an opening exchange of views, will look at ways of mitigating the risks of AI. President Joe Biden and Chinese...

www.techspot.com

 

[Pom down under]

Not watch but might shed some light onto TI edge Ai

 

[Diogenese]

3 Stocks to Buy for 100X Gains Before the Next Tech Hype Cycle

Every investor is on the search for outsized gains. We all dream of finding that one small company that ends up changing the world and making its early shareholders fabulously wealthy. But how do you pinpoint the next “big thing” before it explodes in value? Such a task is easier said than done...

finance.yahoo.com

While Omor has certainly picked one winner (BRCHF), it's a pity he blotted his copybook with that intro paragraph about brain-computer interfaces. As we all know, Akida will make brains redundant.

The upside is that this is an otherwise very good piece of publicity.

Looking into Investor Place, they are beating the AI drum:

https://investorplace.com/

They have 6k followers on Linkedin.

These 6k will have a higher proportion of stock market followers than an average sample population.

AI fever is still high and a little FOMO may be just the ticket, but given the AGM date and the time difference with NYSE, will it be a day late and a dollar short?

 

[manny100]

To me this tweet is very informative especially from non technical and technical views.
In memory compute is what neurophonic can do but memory is very limited. Which means we need different algorithms as compared to modern day.
So to me just like prophesse had an event based camera but not an event based processor, we have an event based processor but limited memory. Which means product have unlimited capabilities but limited use. So to me it is taking time to develop efficient models for neurophonic and that is where it is taking so much of time. The task is not impossible but definitely very tough.
Dyor

The context of my post that we are unique in relation to cloudless AI at the Edge.
That was confirmed by BRN in their reply to my query.
According to slide presentations by Sean right through 2023 we are still unique. The others are apparently still in the research stage. If they are in research they are not yet proven commercially ready for cloudless AI at the Edge and there is no guarantee they ever will be.
You are right we are also unique in that we are the only provider that has on chip learning.

 

[Esq.111]

Morning Chippers ,

Neural Networks will be hitting the shelves this year , in volume.

Fingers crossed .

https://www.cnbc.com/2024/05/19/microsoft-ai-pcs-build-2024.html

Regards,
Esq.

 

[FJ-215]

Morning all,

This video has nothing directly to do with BRN or the edge but well worth watching. Bloomberg interview with the CEO of CoreWeave, a new player in the data centre space. Not long, around 8 mins.

CoreWeave: The World is Dependant on Nvidia

 

[Luppo71]

A little more on KUKA , .

Be thinking we could add something to the mix here.



Regards,
Esq.

Cool AF

 

[MegaportX]

Morning all,

This video has nothing directly to do with BRN or the edge but well worth watching. Bloomberg interview with the CEO of CoreWeave, a new player in the data centre space. Not long, around 8 mins.

CoreWeave: The World is Dependant on Nvidia

 

[MegaportX]

Morning all,

This video has nothing directly to do with BRN or the edge but well worth watching. Bloomberg interview with the CEO of CoreWeave, a new player in the data centre space. Not long, around 8 mins.

CoreWeave: The World is Dependant on Nvidia

Here are some thoughts and thanks FJ. All the data centre builds, costs, and energy requirements is a plus for localising some Ai.

Why growth in Digital Infra has only just begun...

100% written by human (image created by AI :))… Back in 2020 I wrote a Linkedin post proclaiming that the worlds funds were about to realise digital infrastructure was as important as ports, mines and gas mains. Back then only a handful of infra funds were focused on investing in digital infra busin

www.linkedin.com

MegaportX

 

[Boab]

It seems people are still happy to work and be paid in shares.
Surely that is confidence in the Co?

 

[RobjHunt]

Merry AGM Week