Hadn't seen this post yet. Just a few followers & connections between them
![]()
Live from CES - BrainChip debuts edge AI box with partner ecosystem for… | Amir Sherman
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...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
Sarvesh Bhatnagar
Gurgaon, Haryana, India Contact Info
4K followers 500+ connections
![]()
Tara Khani - Stealth | LinkedIn
With over 15 years at the forefront of technology and community leadership, I've become a… · Experience: Stealth · Education: Concordia University · Location: Greater Toronto Area, Canada · 500+ connections on LinkedIn. View Tara Khani’s profile on LinkedIn, a professional community of 1 billion...ca.linkedin.com
Tara Khani
Edge AI Innovations Concordia University
Greater Toronto Area, Canada Contact Info
6K followers 500+ connections
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.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
Switch 2 Trailer … just for the gamers here
The last time I was there you looked like thisI’m looking forward to a few drinks with anyone who can put up with me at the next agm
View attachment 76095
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 | Projekt | 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 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
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 | Projekt | 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
Reading this reminds me when I'm on the rowing machine -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
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..
Yeah, he basically said what the Doc said, using as little words as possible, maybe he had a long day..
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.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
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’sI 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.
![]()
1st REBECCA NEWSLETTER | REBECCA KDT JU
🚀 We are thrilled to present the first Chips Joint Undertaking project REBECCA KDT JU newsletter! 🚀 Together with the incredible efforts of our consortium team, we are proud to introduce the first edition ⭐ of the REBECCA KDT JU project newsletter! In this issue, you will find insights into our...www.linkedin.com
View attachment 76168
View attachment 76169
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.
Gees, that didn't take you long!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:
![]()
#neuromorphicai #edgeai #eventbasedvision #tinyml #computervision… | NimbleAI.eu
Proud to be featured in the Neuromorphic Computing, Memory and Sensing 2024 report by Yole Group 👉 https://lnkd.in/di5Jvasq 🚩 NimbleAI contributes to meeting the “Neuromorphic 3D sensing” milestone listed in the Yole report by enabling light-field event-driven vision, building on commercial...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)
The white paper is about the collaboration between Quantum Ventura and BrainchipThe 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
Perhaps there is particular scrutiny, of Bravo's postsGees, that didn't take you long!