BRN Discussion Ongoing

[CHIPS]

Hadn't seen this post yet. Just a few followers & connections between them

Amir Sherman on LinkedIn: Live from CES - BrainChip debuts edge AI box with partner ecosystem for…

Live from CES - BrainChip debuts edge AI box with partner ecosystem for gesture, security and vision . BrainChip has launched the Akida Edge AI Box, a…

www.linkedin.com

Amir Sherman​

Tel Aviv District, Israel Contact Info​

​

6K followers 500+ connections​

Amir Sherman
Co-CEO , Founder, Country Manager, TinyML , EdgeML & AI Acceleration Sales Executive, SoMs & SBC Global Business Development, Sales & Marketing Semiconductors Specialist
1w

Live from CES - BrainChip debuts edge AI box with partner ecosystem for gesture, security and vision . BrainChip has launched the Akida Edge AI Box, a compact AI/ML processing appliance for various industries. The Akida Edge AI Box is developed in partnership with VVDN Technologies and features an embedded Linux solution with multiple connectivity options including ethernet, bluetooth, and USB interfaces to provide a complete edge AI computing platform based on Brainchip’s Akida AKD1000 IC. Key partners include Edge Impulse for model training . https://lnkd.in/dDAJP4gp

• 

762 Comments
LikeComment
Share

Kary Bheemaiah
VP I Chief Technology & Innovation Officer (CTIO), Capgemini Invent I Executive Fellow, World Economic Forum
1w

Sarvesh Bhatnagar
Like
Reply
4 Reactions

Tara Khani
Co-Founder & CEO at Edge AI Innovations | Engineer, Tech Sales Leader, Author, MBA, MASc | Expert in Edge AI, Digital Twin, AIoT, Automation
6d

Exciting

Kary Bheemaiah - Capgemini Invent | LinkedIn

As CTIO, I focus on emerging technology initiatives, and augment our strategy and… · Ervaring: Capgemini Invent · Opleiding: Grenoble Ecole de Management · Locatie: Amsterdam · 500+ connecties op LinkedIn. Bekijk het profiel van Kary Bheemaiah op LinkedIn, een professionele community van 1...

nl.linkedin.com

Kary Bheemaiah​

Capgemini Invent Grenoble Ecole de Management​

Amsterdam, North Holland, Netherlands Contact Info​

​

10K followers 500+ connections​

https://in.linkedin.com/in/sarvesh-bhatnagar-b8b6aa1?trk=public_post_comment-text

Sarvesh Bhatnagar​

Gurgaon, Haryana, India Contact Info​

​

4K followers 500+ connections​

Tara Khani - Edge AI Innovations | LinkedIn

With over 15 years at the forefront of technology and community leadership, I've become a… · Experience: Edge AI Innovations · Education: Concordia University · Location: Greater Toronto Area, Canada · 500+ connections on LinkedIn. View Tara Khani’s profile on LinkedIn, a professional community...

ca.linkedin.com

Tara Khani​

Edge AI Innovations Concordia University​

Greater Toronto Area, Canada Contact Info​

​

6K followers 500+ connections​

This is Capgemini

Capgemini – home page – Get the future you want

A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.

www.capgemini.com

 

[DingoBorat]

I cannot say for sure just pure speculation like everything else.... Tony's statement was NO partnership between RTX and Brainchip.....that does not mean they are not a customer via a different channel, eg Megachips, etc. maybe still a end user. IMO

That is NOT what Tony said. He stated there is no COMMERCIAL partnership agreement. They can be partners in progressing the technology and not have a commercial agreement.

What did you actually ask exactly @keyeat ?
I think that would explain the answer you got..

Edit.. Hey @Dr E Brown, how did you get your post, copied off of mine, in 4 hours before mine was posted!!?

Ohh..

 

[MDhere]

Switch 2 Trailer … just for the gamers here

Nice! And to top it off they named a date at the end of video!!
Is that 4th Feb or 2nd April?
(Always get mixed up on the way the date is done) Is that 4th feb 2025 or 2nd April 2025?
Ok correction just checked it's a lead up to release date 2nd April 4.2.2025. With experience interactions in multiple countries following that. So I imagine between April and May its going to be pretty exciting if megachips threw our diamond into the mixer.

 

[Dolci]

I’m looking forward to a few drinks with anyone who can put up with me at the next agm

View attachment 76095

The last time I was there you looked like this

 

[IloveLamp]

HAPPY NEW YEAR FROM PROPHESEE!

METAVISION STARTER KIT-AMD KRIA KV260 Experience the new AMD Kria™ KV260 Vision AI Starter Kit, now available in two variants, IMX363 HD or GenX320 QVGA. LEARN MORE NEW METAVISION SDK5 PRO Discover the 5x award-winning Metavision® SDK5 PRO software toolkit.

www.linkedin.com

PROPHESEE on LinkedIn: HAPPY NEW YEAR FROM PROPHESEE!

As we reflect on 2024, we proudly celebrate a year of remarkable progress and groundbreaking innovation, driving the adoption of Prophesee’s event-based…

www.linkedin.com

 

[Bravo]

Howdy All,

So I was just having bit of a poke around to see if I could find out a bit more about the Klepsydra and Frontgrade Gaisler collaboration as per the above post and I stumbled on a Klepsydra Linkedin post from a couple of months ago which mentioned the "REBECCA Project" (see below).

I did a Google search and found the website for the REBECCA Project, which sure enough mentions neuromorphic computing.

As you can see from the screen shots from the website, the REBECCA project is co-funded by the European Union. The aim of the project is to democratize the development of edge AI systems including a hardware and software stack centred around a RISC-V CPU.

As described on the website, it will develop a novel chip that will include a neuromorphic AI accelerator, which you would think would be very likely to be AKIDA, since Frontgrade Gaisler has taken a commercial license for the Akida neural processor IP.

I also looked for further information on the Grant agreement ID: 101097224 and have posted a screen shot of that as well. Total cost for the project is €8 498 328,59 (with EU contribution comprising €2 744 319,72)!!!! The end date is set at 31 July 2026.

Clearly this is a very big deal because it says on the Cordis summary that the "project will contribute to realising business and societal opportunities by validating and demonstrating its approach on real-world use cases and benchmarks based on real-world applications from the smart appliances, energy generation, infrastructure inspection, avionics, automotive and health domains".


View attachment 76117


View attachment 76110


View attachment 76119




View attachment 76115

View attachment 76116

About Rebecca | Rebecca

www.rebecca-chip.eu

View attachment 76120

About Rebecca | Rebecca

www.rebecca-chip.eu

Reconfigurable Heterogeneous Highly Parallel Processing Platform for safe and secure AI | REBECCA Project | Fact Sheet | HORIZON | CORDIS | European Commission

REBECCA, a heavily SME-driven project, will democratize the development of novel edge AI systems. Towards this aim, REBECCA will develop a purely European complete Hardware(HW) and Software(SW) stack around a RISC-V CPU, which will provide significantly higher levels of a)...

cordis.europa.eu

I hate to be the bearer of bad tidings but it looks like the REBECCA project will be utilizing IMEC's SENeCA neuromorphic processor.

I discovered this because one of the consortium partners on the REBECCA project is IMEC, which got me thinking.

Then I found this research paper dated 28 March 2024, under the REBECCA project's grant agreement No. 101097224 (see below). As you can see the research paper focusses on the SENeCA architecture and the authors were all employed by IMEC. The paper compares results with SpiNNaker2 and Loihi, but not AKIDA. However, it does state that "our optimizations for event-based neural networks can be potentially generalized to a wide range of event-based neuromorphic processors."

On a positive note, I noticed that the Funding Statement on the research paper also shows NimbleAI (Horizon EU under grant agreement 101070679). And we know that NimbleAI are combining AKIDA 1500 with the Hailo-8 accelerator for inference processing for one of their prototypes, so it may not be out of the question for different prototypes to be explored in the REBECCA project in the same way that NimbleAI has.

Do we know what's happening with SENeCA's SNN processor at the moment? I believe from past discussions IMEC were looking at taping out in Q1 2025, planned to be submitted to the foundry in Jan 2025.

Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration - PMC

Neuromorphic processors promise low-latency and energy-efficient processing by adopting novel brain-inspired design methodologies. Yet, current neuromorphic solutions still struggle to rival conventional deep learning accelerators' performance and ...

pmc.ncbi.nlm.nih.gov

 

[Bravo]

ULTRA-ENERGY EFFICIENT AND SECURE NEUROMORPHIC SENSING AND PROCESSING AT THE ENDPOINT | NimbleAI Project | Fact Sheet | HORIZON | CORDIS | European Commission

Today only very light AI processing tasks are executed in ubiquitous IoT endpoint devices, where sensor data are generated and access to energy is usually constrained. However, this approach is not scalable and results in high penalties in terms of security, privacy, cost...

cordis.europa.eu

Ultra-low-power, secure processors for edge computing (RIA) | Programme | HORIZON | CORDIS | European Commission

cordis.europa.eu

 

[Frangipani]

I don't think this recently published research paper has been posted here previously.

I can't access the whole paper to see what processor was used but it does refer to Prophesee's event camera.




View attachment 76103

https://ieeexplore.ieee.org/document/10749524

We can pretty safely assume the neuromorphic processor in that paper will turn out to be Intel’s Loihi.

The paper’s first author David Harbour is the son of Steven Harbour (who is also one of the co-authors). Steven Harbour left SwRI (Southwest Research Institute) last year to become Director of AI Hardware Research at Parallax Advanced Research.

In March, while still at SwRI (which has been closely collaborating with Intel on neuromorphic research for years), Steven Harbour posted this…

… tagging Mike Davies and two former Intel Labs researchers (Tim Shea and Yulia Sandamirskaya) as well as Gregory Cohen who is doing research on neuromorphic cameras in space at Western Sydney University’s ICNS.

And I also recalled having seen a poster of the above-mentioned paper on the Parallax website (referring to related work, which includes a paper involving Loihi, co-authored by Steven Harbour):

Neuromorphic Computing for Space: Recognized Innovation at DASC 2024

parallaxresearch.org

Howdy All,

So I was just having bit of a poke around to see if I could find out a bit more about the Klepsydra and Frontgrade Gaisler collaboration as per the above post and I stumbled on a Klepsydra Linkedin post from a couple of months ago which mentioned the "REBECCA Project" (see below).

I did a Google search and found the website for the REBECCA Project, which sure enough mentions neuromorphic computing.

As you can see from the screen shots from the website, the REBECCA project is co-funded by the European Union. The aim of the project is to democratize the development of edge AI systems including a hardware and software stack centred around a RISC-V CPU.

As described on the website, it will develop a novel chip that will include a neuromorphic AI accelerator, which you would think would be very likely to be AKIDA, since Frontgrade Gaisler has taken a commercial license for the Akida neural processor IP.

I also looked for further information on the Grant agreement ID: 101097224 and have posted a screen shot of that as well. Total cost for the project is €8 498 328,59 (with EU contribution comprising €2 744 319,72)!!!! The end date is set at 31 July 2026.

Clearly this is a very big deal because it says on the Cordis summary that the "project will contribute to realising business and societal opportunities by validating and demonstrating its approach on real-world use cases and benchmarks based on real-world applications from the smart appliances, energy generation, infrastructure inspection, avionics, automotive and health domains".


View attachment 76117


View attachment 76110


View attachment 76119




View attachment 76115

View attachment 76116

About Rebecca | Rebecca

www.rebecca-chip.eu

View attachment 76120

About Rebecca | Rebecca

www.rebecca-chip.eu

Reconfigurable Heterogeneous Highly Parallel Processing Platform for safe and secure AI | REBECCA Project | Fact Sheet | HORIZON | CORDIS | European Commission

REBECCA, a heavily SME-driven project, will democratize the development of novel edge AI systems. Towards this aim, REBECCA will develop a purely European complete Hardware(HW) and Software(SW) stack around a RISC-V CPU, which will provide significantly higher levels of a)...

cordis.europa.eu

And it appears there is no Akida in the REBECCA project either…

Klepsydra and Frontgrade Gaisler are collaborating on the GR765 - which I believe to be the microprocessor our company will also be involved in.

See also Alf Kuchenbuch’s I spotted almost a year ago:

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-407807

However, unlike Klepsydra, Frontgrade is not even a consortium partner in the REBECCA project.

IMEC, however, is.

REBECCA KDT JU on LinkedIn: 1st REBECCA NEWSLETTER

🚀 We are thrilled to present the first Chips Joint Undertaking project REBECCA KDT JU newsletter! 🚀 Together with the incredible efforts of our consortium…

www.linkedin.com

 

[MDhere]

I hate to be the bearer of bad tidings but it looks like the REBECCA project will be utilizing IMEC's SENeCA neuromorphic processor.

I discovered this because one of the consortium partners on the REBECCA project is IMEC, which got me thinking.

Then I found this research paper dated 28 March 2024, under the REBECCA project's grant agreement No. 101097224 (see below). As you can see the research paper focusses on the SENeCA architecture and the authors were all employed by IMEC. The paper compares results with SpiNNaker2 and Loihi, but not AKIDA. However, it does state that "our optimizations for event-based neural networks can be potentially generalized to a wide range of event-based neuromorphic processors."

On a positive note, I noticed that the Funding Statement on the research paper also shows NimbleAI (Horizon EU under grant agreement 101070679). And we know that NimbleAI are combining AKIDA 1500 with the Hailo-8 accelerator for inference processing for one of their prototypes, so it may not be out of the question for different prototypes to be explored in the REBECCA project in the same way that NimbleAI has.

Do we know what's happening with SENeCA's SNN processor at the moment? I believe from past discussions IMEC were looking at taping out in Q1 2025, planned to be submitted to the foundry in Jan 2025.



View attachment 76160
View attachment 76163

Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration - PMC

Neuromorphic processors promise low-latency and energy-efficient processing by adopting novel brain-inspired design methodologies. Yet, current neuromorphic solutions still struggle to rival conventional deep learning accelerators' performance and ...

pmc.ncbi.nlm.nih.gov

Reading this reminds me when I'm on the rowing machine -
breath out all the carbondioxide- row,
breath in oxygen
2 minutes of reading this =20mins on the rowing machine feeling

 

[keyeat]

That is NOT what Tony said. He stated there is no COMMERCIAL partnership agreement. They can be partners in progressing the technology and not have a commercial agreement.

What did you actually ask exactly @keyeat ?
I think that would explain the answer you got..

Edit.. Hey @Dr E Brown, how did you get your post, copied off of mine, in 4 hours before mine was posted!!?

Ohh..

 

[DingoBorat]

View attachment 76173

Yeah, he basically said what the Doc said, using as little words as possible, maybe he had a long day..

He "should" have said and I don't think this is making an assumption, otherwise it would contradict the news from CES 2025..

"Thanks for your email

The news wasn't ASX worthy, as this is not a commercial partnership yet, with a dollar amount attached.
Hopefully it will develop into one in the Future.

Kind Regards

Tony Dawe"

It aligns with all the other "partnerships" which also weren't ASX announced, much to the dismay of shareholders..

 

[Iseki]

I hate to be the bearer of bad tidings but it looks like the REBECCA project will be utilizing IMEC's SENeCA neuromorphic processor.

I discovered this because one of the consortium partners on the REBECCA project is IMEC, which got me thinking.

Then I found this research paper dated 28 March 2024, under the REBECCA project's grant agreement No. 101097224 (see below). As you can see the research paper focusses on the SENeCA architecture and the authors were all employed by IMEC. The paper compares results with SpiNNaker2 and Loihi, but not AKIDA. However, it does state that "our optimizations for event-based neural networks can be potentially generalized to a wide range of event-based neuromorphic processors."

On a positive note, I noticed that the Funding Statement on the research paper also shows NimbleAI (Horizon EU under grant agreement 101070679). And we know that NimbleAI are combining AKIDA 1500 with the Hailo-8 accelerator for inference processing for one of their prototypes, so it may not be out of the question for different prototypes to be explored in the REBECCA project in the same way that NimbleAI has.

Do we know what's happening with SENeCA's SNN processor at the moment? I believe from past discussions IMEC were looking at taping out in Q1 2025, planned to be submitted to the foundry in Jan 2025.



View attachment 76160
View attachment 76163

Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration - PMC

Neuromorphic processors promise low-latency and energy-efficient processing by adopting novel brain-inspired design methodologies. Yet, current neuromorphic solutions still struggle to rival conventional deep learning accelerators' performance and ...

pmc.ncbi.nlm.nih.gov

Great find. I think we are a long way ahead of them - imec is a research org, the Nimble chip ip providers seem to be FPGA designers, and their industry advisory board include some of our "partners": ESA, prophesee, Edge Impulse, RTX. It's a pitty that we aren't there, but these guys are just a consortium, and for them to make commercially available chips they would have to spin off a company etc etc, I think.

 

[BrainShit]

The development of cybersecurity solutions using neuromorphic computing platforms provides an opportunity to shatter barriers and offer cyber security solutions that operate at a fraction of the power and cost of GPU based platforms.

 

[DingoBorat]

That was a definite whale chomp, into the 35 cent line.

 

[Adika]

We can pretty safely assume the neuromorphic processor in that paper will turn out to be Intel’s Loihi.

The paper’s first author David Harbour is the son of Steven Harbour (who is also one of the co-authors). Steven Harbour left SwRI (Southwest Research Institute) last year to become Director of AI Hardware Research at Parallax Advanced Research.

In March, while still at SwRI (which has been closely collaborating with Intel on neuromorphic research for years), Steven Harbour posted this…

View attachment 76164


… tagging Mike Davies and two former Intel Labs researchers (Tim Shea and Yulia Sandamirskaya) as well as Gregory Cohen who is doing research on neuromorphic cameras in space at Western Sydney University’s ICNS.

And I also recalled having seen a poster of the above-mentioned paper on the Parallax website (referring to related work, which includes a paper involving Loihi, co-authored by Steven Harbour):

Neuromorphic Computing for Space: Recognized Innovation at DASC 2024

parallaxresearch.org

View attachment 76165


View attachment 76166






And it appears there is no Akida in the REBECCA project either…

Klepsydra and Frontgrade Gaisler are collaborating on the GR765 - which I believe to be the microprocessor our company will also be involved in.

See also Alf Kuchenbuch’s I spotted almost a year ago:

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-407807


View attachment 76167
However, unlike Klepsydra, Frontgrade is not even a consortium partner in the REBECCA project.

IMEC, however, is.

REBECCA KDT JU on LinkedIn: 1st REBECCA NEWSLETTER

🚀 We are thrilled to present the first Chips Joint Undertaking project REBECCA KDT JU newsletter! 🚀 Together with the incredible efforts of our consortium…

www.linkedin.com

View attachment 76168

View attachment 76169

Looks like you were a little slow off the mark in correcting @Bravo about IMEC this time, she beat you to it! Better luck next time!

 

[Frangipani]

I think it's great to see NimbleAI combining AKIDA 1500 with the Hailo-8 accelerator for inference processing for their prototype.

Why? Because, as mentioned in the post above, Renesas utilised Hailo-8 AI accelerators for the Renesas' R-Car V4H SoC.

So, the news from NimbleAI further bolsters my hope that our tech may be included in the upcoming Renesas R-Car X5H. Surely NimbleAI can't be the only ones to think that pairing Akida and Hailo is a good idea, can they?

On a positive note, I noticed that the Funding Statement on the research paper also shows NimbleAI (Horizon EU under grant agreement 101070679). And we know that NimbleAI are combining AKIDA 1500 with the Hailo-8 accelerator for inference processing for one of their prototypes, so it may not be out of the question for different prototypes to be explored in the REBECCA project in the same way that NimbleAI has.

Do we really know that?
No, we don’t.

NimbleAI won’t be combining the AKD1500 and the Hailo-8; instead, the two processors will be benchmarked against each other:

NimbleAI.eu on LinkedIn: #neuromorphicai #edgeai #eventbasedvision #tinyml #computervision…

Proud to be featured in the Neuromorphic Computing, Memory and Sensing 2024 report by Yole Group 👉 https://lnkd.in/di5Jvasq 🚩 NimbleAI contributes to…

www.linkedin.com

After all, the prototype is going to have only one PCIe slot to fit either Hailo or Akida.

As of July 2024, NimbleAI’s project coordinator Xabier Iturbe was still hoping for the AKD1500 to become available as a M.2 module, though
(cf his mail reply to @AI_Inquirer here:
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-446343)

 

[Adika]

Do we really know that?
No, we don’t.

NimbleAI won’t be combining the AKD1500 and the Hailo-8; instead, the two processors will be benchmarked against each other:

NimbleAI.eu on LinkedIn: #neuromorphicai #edgeai #eventbasedvision #tinyml #computervision…

Proud to be featured in the Neuromorphic Computing, Memory and Sensing 2024 report by Yole Group 👉 https://lnkd.in/di5Jvasq 🚩 NimbleAI contributes to…

www.linkedin.com

View attachment 76172

After all, the prototype is going to have only one PCIe slot to fit either Hailo or Akida.

View attachment 76179


As of July 2024, NimbleAI’s project coordinator Xabier Iturbe was still hoping for the AKD1500 to become available as a M.2 module, though
(cf his mail reply to @AI_Inquirer here:
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-446343)

Gees, that didn't take you long!

 

[Boab]

The development of cybersecurity solutions using neuromorphic computing platforms provides an opportunity to shatter barriers and offer cyber security solutions that operate at a fraction of the power and cost of GPU based platforms.

View attachment 76176

The white paper is about the collaboration between Quantum Ventura and Brainchip

 

[DingoBorat]

Gees, that didn't take you long!

Perhaps there is particular scrutiny, of Bravo's posts ...

 

[Frangipani]

Looks like you were a little slow off the mark in correcting @Bravo about IMEC this time, she beat you to it! Better luck next time!

No, she didn’t. She only posted about it earlier, while I was still busy with other things.

It is now January 17, shortly after 0.30 am my time. I took the following screenshot on January 16, at 8:44 am my time. That’s almost 16 hours ago.

So who found out first about IMEC developing the neuromorphic AI accelerator for the REBECCA project?