BRN Discussion Ongoing

Slade

Top 20
You know things are hotting up when members of the Crapper start appearing over here. There is desperation in the air and Brainchip is about to shut them up for good. And who got out of the wrong side of the bed this morning. Never mind, it is going to be a very positive week in the lead up to Xmas. Enjoy everyone.
 
Last edited:
  • Like
  • Love
  • Fire
Reactions: 58 users

IloveLamp

Top 20
1000020646.jpg
1000020649.jpg
 
  • Like
  • Fire
  • Love
Reactions: 45 users

JB49

Regular

With our connection to Andre Van Schaik on our Scientific Advisory Board, if there are any limitation on what WSU's own technology can do, it wouldn't surprise me if they experiment with Akida on some of these projects.

Partners on this one are Raytheon, The Royal Australian Navy and BAE Systems.
 
Last edited:
  • Like
  • Fire
  • Love
Reactions: 19 users

TECH

Regular
Just as a footnote to comments made about Dr. Chris Eliasmith....we (Brainchip) did have a collaboration with Chris in either
2016, 2017 or 2018....can't be bothered checking the year, but I did reach out to him via Linkedin at the time, so we definitely
know each other, he focused mainly on SpiNNaker from memory.

We are still tied in with Mercedes Benz....that's the main thing to remember, better on the inner than the outer, if not, well, our company
would/could be charged with misrepresentation with having the Mercedes logo still displayed on our homepage.

The above views are solely mine, I own them.

Kind regards to all.....Tech.
 
  • Like
  • Fire
Reactions: 24 users
Ooooh, I like this bit "Neuromorphic computing will become increasingly important in 2025 and beyond, particularly as AI demands more from computing than ever before"

Bring on 2025 I'd say 👍 (Still enjoying 2024 though, haha)
 
  • Like
  • Love
  • Fire
Reactions: 30 users

7für7

Top 20
1734393091166.gif
 
  • Haha
  • Like
Reactions: 13 users
Well, since Chris Eliasmith, who as head of the Computational Neuroscience Research Group (CNRG) will be leading the research collaboration with Mercedes-Benz at the University of Waterloo is one of ABR’s Co-Founders, their CTO as well as one of their Directors, I would be immensely surprised if he were to pick another company over ABR to co-collaborate, especially given ABR is a University of Waterloo spin-off!

Whereas the official MB announcement merely stated that the MoU’s research focus is “on the development of algorithms for advanced driving assistance systems”, an article published by the University of Waterloo itself (see below) mentions “software and hardware development”:

In collaboration with Mercedes Benz, CNRG will apply their neuromorphic computing expertise — designing and developing software and hardware development designed to mimic how the brain works to making autonomous vehicle technology safer and more efficient. This collaboration highlights the University’s commitment to building meaningful industry and research partnerships for societal, economic, technological, health and sustainable impact.

AV systems struggle with complex tasks like “scene understanding,” which Eliasmith explains is the use of body language and eye contact to interpret whether a pedestrian is about to cross the road. Using simulations and neuromorphic technology, the lab will enhance the system’s perception, prediction and control features, improving its ability to read and react to its environment correctly.”




View attachment 74327

View attachment 74333


Also, have a look at these three University of Waterloo posts relating to the MoU with Mercedes-Benz that Chris Eliasmith reposted - not a single 👍🏻 by someone working for BrainChip. Isn’t that rather telling?



View attachment 74326




True, our CTO used to be a part-time Adjunct Associate Professor at the University of Waterloo (2003-2009) while working on robots in his own company - Iguana Robotics - but that was in a completely different department at the time, namely the Department of Kinesiology at the Faculty of Health, where he was collaborating with the late Aftab Patla on “human visuomotor coordination of locomotion”.


View attachment 74335

Hi @Frangipani

Thanks for posting that and I had seen it before I posted the LinkedIn post.

There is also the possibility that there is some poetic licence in what Waterloo posted re hardware. Is it solely their hardware, will they utilise some of MBs "industry partners" tech, will it complement what MB are already doing with other partners.



More energy efficiency in autonomous driving of the future.​

December 06, 2024 – Future vehicles will include more and more functionalities, with those for autonomous driving being just one example. As this will lead to significantly higher energy requirements, efficiency is a crucial factor.
Mercedes Benz is a pioneer in automated driving and safety technologies. The vision for the future is autonomous driving, which will redefine the role of the automobile. Not only will it increase safety, efficiency and comfort on the road. It will also give time back to passengers by allowing them to devote their attention to things other than driving. In addition, the autonomous car will communicate with the cities of the future. To realise all this calls for innovative algorithms and hardware components that overcome the limits of today’s computer hardware.

Through research into artificial neural networks, Mercedes-Benz and its partners from research and industry are breaking new ground in the creation of computer architectures. The company recently announced a research cooperation with the Canadian University of Waterloo in the field of neuromorphic computing. By mimicking the workings of the human brain, neuromorphic computing could make AI computations significantly more energy-efficient and faster.

Neuromorphic computing (NC) mimics the way the human brain works and could therefore make AI calculations more efficient and faster.

Neuromorphic computing (NC) mimics the way the human brain works and could therefore make AI calculations more efficient and faster.
Innovative hardware components such as circuit boards are required to overcome the limitations of today's computer hardware.

Innovative hardware components such as circuit boards are required to overcome the limitations of today's computer hardware.
Safety systems could, for example, recognise traffic signs, lanes and other road users much better and react faster, even in poor visibility.

Safety systems could, for example, recognise traffic signs, lanes and other road users much better and react faster, even in poor visibility.
Instead of full images (frames), neuromorphic camera for interior monitoring delivers individual pixels (events – hence the name event-based camera), which is extremely fast with minimal delay.

Instead of full images (frames), neuromorphic camera for interior monitoring delivers individual pixels (events – hence the name event-based camera), which is extremely fast with minimal delay.

Neuromorphic computing (NC) mimics the way the human brain works and could therefore make AI calculations more efficient and faster.

Innovative hardware components such as circuit boards are required to overcome the limitations of today's computer hardware.

Safety systems could, for example, recognise traffic signs, lanes and other road users much better and react faster, even in poor visibility.

Instead of full images (frames), neuromorphic camera for interior monitoring delivers individual pixels (events – hence the name event-based camera), which is extremely fast with minimal delay.

Safety systems could, for example, recognise traffic signs, lanes and other road users much better and react faster, even in poor visibility. And they could do so ten times more efficiently than current systems. There would be benefits in using a neuromorphic camera for interior monitoring, for example. Instead of full images (frames), it delivers individual pixels (events – hence the name event-based camera). The process is extremely fast with minimal delay. This means, for instance, a rapid system reaction to the blinking of a driver’s eye caused by fatigue. Neuromorphic computing has the potential to reduce the energy required for data processing in autonomous driving by 90 per cent compared to current systems.

neuromorphic-computing-6-w1920xh1080-cutout.jpg
 
  • Like
  • Fire
  • Love
Reactions: 25 users

JB49

Regular

Australian company MBDA in a joint venture with Airbus and Nileq to use a neuromorphic camera/sensor to map the terrain for UAV's

There is a pending patent - Can anybody find it?

The system the companies are developing is based on a technology developed by MDBA Systems subsidiary NILEQ, which maintains a database of the Earth's surface. Data captured by scanners on UAVs and other aerial vehicles is processed by brain-like neuromorphic processors and quickly matched to the database
 
Last edited:
  • Like
  • Thinking
  • Love
Reactions: 15 users
Hi @Frangipani

Thanks for posting that and I had seen it before I posted the LinkedIn post.

There is also the possibility that there is some poetic licence in what Waterloo posted re hardware. Is it solely their hardware, will they utilise some of MBs "industry partners" tech, will it complement what MB are already doing with other partners.



More energy efficiency in autonomous driving of the future.​

December 06, 2024 – Future vehicles will include more and more functionalities, with those for autonomous driving being just one example. As this will lead to significantly higher energy requirements, efficiency is a crucial factor.
Mercedes Benz is a pioneer in automated driving and safety technologies. The vision for the future is autonomous driving, which will redefine the role of the automobile. Not only will it increase safety, efficiency and comfort on the road. It will also give time back to passengers by allowing them to devote their attention to things other than driving. In addition, the autonomous car will communicate with the cities of the future. To realise all this calls for innovative algorithms and hardware components that overcome the limits of today’s computer hardware.

Through research into artificial neural networks, Mercedes-Benz and its partners from research and industry are breaking new ground in the creation of computer architectures. The company recently announced a research cooperation with the Canadian University of Waterloo in the field of neuromorphic computing. By mimicking the workings of the human brain, neuromorphic computing could make AI computations significantly more energy-efficient and faster.

Neuromorphic computing (NC) mimics the way the human brain works and could therefore make AI calculations more efficient and faster.

Neuromorphic computing (NC) mimics the way the human brain works and could therefore make AI calculations more efficient and faster.
Innovative hardware components such as circuit boards are required to overcome the limitations of today's computer hardware.'s computer hardware.

Innovative hardware components such as circuit boards are required to overcome the limitations of today's computer hardware.
Safety systems could, for example, recognise traffic signs, lanes and other road users much better and react faster, even in poor visibility.

Safety systems could, for example, recognise traffic signs, lanes and other road users much better and react faster, even in poor visibility.
Instead of full images (frames), neuromorphic camera for interior monitoring delivers individual pixels (events – hence the name event-based camera), which is extremely fast with minimal delay.

Instead of full images (frames), neuromorphic camera for interior monitoring delivers individual pixels (events – hence the name event-based camera), which is extremely fast with minimal delay.

Neuromorphic computing (NC) mimics the way the human brain works and could therefore make AI calculations more efficient and faster.

Innovative hardware components such as circuit boards are required to overcome the limitations of today's computer hardware.'s computer hardware.

Safety systems could, for example, recognise traffic signs, lanes and other road users much better and react faster, even in poor visibility.

Instead of full images (frames), neuromorphic camera for interior monitoring delivers individual pixels (events – hence the name event-based camera), which is extremely fast with minimal delay.

Safety systems could, for example, recognise traffic signs, lanes and other road users much better and react faster, even in poor visibility. And they could do so ten times more efficiently than current systems. There would be benefits in using a neuromorphic camera for interior monitoring, for example. Instead of full images (frames), it delivers individual pixels (events – hence the name event-based camera). The process is extremely fast with minimal delay. This means, for instance, a rapid system reaction to the blinking of a driver’s eye caused by fatigue. Neuromorphic computing has the potential to reduce the energy required for data processing in autonomous driving by 90 per cent compared to current systems.

neuromorphic-computing-6-w1920xh1080-cutout.jpg
Further to the above, another post by MB implies that a lot of these collaborations etc in Canada are part of an understanding with the Govt.

The academic research collaboration and participation in the OVIN Incubators Program are the latest in a series of initiatives underpinned by the company’s Memorandum of Understanding (MoU) with the government of Canada, signed in 2022. The aim of the MoU is to strengthen cooperation across the electric vehicle value chain. Through the partnership with the Ontario government through OVIN, Mercedes-Benz is accelerating and expanding its presence by tapping into Ontario’s international acclaim as a centre for tech development, recognizing the province’s significance for Mercedes-Benz’s global innovation network.

Also within the post they outline the Waterloo Collab and as @Frangipani pointed out, the key focus is algos.

Collaboration with the University of Waterloo​

Mercedes-Benz and the University of Waterloo have signed a Memorandum of Understanding to collaborate on research led by Prof. Chris Eliasmith in the field of neuromorphic computing. The focus is on the development of algorithms for advanced driving assistance systems. By mimicking the functionality of the human brain, neuromorphic computing could significantly improve AI computation, making it faster and more energy-efficient. While preserving vehicle range, safety systems could, for example, detect traffic signs, lanes and objects much better, even in poor visibility, and react faster. Neuromorphic computing has the potential to reduce the energy required to process data for autonomous driving by 90 percent compared to current systems.

The work with the University of Waterloo complements a series of existing Mercedes-Benz research collaborations on neuromorphic computing. One focus is on neuromorphic end-to-end learning for autonomous driving. To realize the full potential of neuromorphic computing, Mercedes-Benz is building up a network of universities and research partnerships. The company is, for example, consortium leader in the NAOMI4Radar project funded by the German Federal Ministry for Economic Affairs and Climate Action. Here, the company is working with partners to assess how neuromorphic computing can be used to optimise the processing of radar data in automated driving systems. In addition, Mercedes-Benz has been cooperating with Karlsruhe University of Applied Sciences. This work centres on neuromorphic cameras, also known as event-based cameras.

 
  • Like
  • Fire
  • Love
Reactions: 13 users
Gotta love MBs representation (or is it real :unsure: ) of a board for neuromorphic :oops:
Screenshot_2024-12-17-08-54-23-68_4641ebc0df1485bf6b47ebd018b5ee76.jpg
 
  • Like
  • Fire
  • Wow
Reactions: 9 users

Esq.111

Fascinatingly Intuitive.
Morning Fullmoonfever ,

Believe that board in your above picture is real .

Sighted it some time ago and tried to find the company behind it , to no avail .

Regards ,
Esq.
 
  • Like
  • Wow
  • Fire
Reactions: 4 users

JoMo68

Regular
There’s some serious skullduggery going on with our share price. Two big announcements and we’re going down! WTAF!
 
  • Like
  • Love
  • Fire
Reactions: 19 users
There’s some serious skullduggery going on with our share price. Two big announcements and we’re going down! WTAF!
manipulation-the.gif
 
  • Haha
  • Like
  • Love
Reactions: 22 users
There’s some serious skullduggery going on with our share price. Two big announcements and we’re going down! WTAF!
As previously mentioned yesterday’s announcement was not a big announcement. We currently have a market cap of around 470 million.
If we want the SP to actually move we need a deal with millions attached or with a tier 1 name. Not a minor company that brings in a few million in revenue.
 
  • Like
  • Haha
Reactions: 9 users

Labsy

Regular
As previously mentioned yesterday’s announcement was not a big announcement. We currently have a market cap of around 470 million.
If we want the SP to actually move we need a deal with millions attached or with a tier 1 name. Not a minor company that brings in a few million in revenue.
I suspect, given our dominance in space news as the latest innervation in Europe and the recent award by the US Air Force, SpaceX will be well aware of our existence..... Just a matter of time and BOOM!!!! You will get your tier 1 announcement.... Don't you worry about that. ;)
 
  • Like
  • Fire
  • Love
Reactions: 31 users
Suspect our Akida may also feature in this work. From a few hours ago.



Frontgrade Gaisler Leads European Initiative for Ultra Deep Sub-Micron Semiconductor Technology for Space Applications​

Dr. Dietmar Pilz, Director of Technology, Engineering & Quality at ESA (left) with Sandi Habinc, General Manager at Frontgrade Gaisler, signed a contract for a Gaisler-led initiative as part of the ESA-backed “EEE Space Component Sovereignty for Europe” program. Frontgrade Gaisler will work with its industry partners to develop foundational technology for some of the world’s most sophisticated integrated circuits for space, leveraging Ultra Deep Sub-Micron (UDSM) nodes as advanced as 7nm. (Photo: Business Wire)
Dr. Dietmar Pilz, Director of Technology, Engineering & Quality at ESA (left) with Sandi Habinc, General Manager at Frontgrade Gaisler, signed a contract for a Gaisler-led initiative as part of the ESA-backed “EEE Space Component Sovereignty for Europe” program. Frontgrade Gaisler will work with its industry partners to develop foundational technology for some of the world’s most sophisticated integrated circuits for space, leveraging Ultra Deep Sub-Micron (UDSM) nodes as advanced as 7nm. (Photo: Business Wire)
December 16, 2024 11:23 AM Eastern Standard Time
GOTHENBURG, Sweden--(BUSINESS WIRE)--Under a newly signed contract with the European Space Agency (ESA), Frontgrade Gaisler is leading an ambitious initiative to secure European sovereignty in advanced semiconductor technologies for space applications. This project aims to develop foundational technology for some of the world’s most sophisticated integrated circuits for space, leveraging Ultra Deep Sub-Micron (UDSM) nodes as advanced as 7nm.
“ESA is proud to support this groundbreaking initiative, which represents a critical step toward European sovereignty in advanced semiconductor technologies for space”
Post this
As part of the ESA-backed “EEE Space Component Sovereignty for Europe” program, Frontgrade Gaisler is collaborating with key industry leaders such as imec (Interuniversity Microelectronics Centre vzw) and IMST GmbH, to leverage their collective expertise in high-performance microprocessors, advanced semiconductor libraries, and high-speed memory interfaces. To meet the ever-increasing performance needs of space computing, the project will incorporate additional state-of-the-art technologies from adjacent developments and partners, including high-speed serial interfaces, die-to-die interconnect, and System-in-Package concepts.
“ESA is proud to support this groundbreaking initiative, which represents a critical step toward European sovereignty in advanced semiconductor technologies for space,” said Boris Glass, Technical Officer at ESA. “By investing in Ultra Deep Sub-Micron processes such as 7 nm FinFET CMOS technology, we are ensuring that Europe remains at the forefront of space innovation and autonomy, securing the technology necessary for next-generation space exploration and satellite constellations. This collaboration with Frontgrade Gaisler and its industry partners is essential to meet the growing demands of the space sector and strengthen Europe’s capabilities in the global arena.”
The consortium’s initial focus is to establish radiation-hardened libraries and Intellectual Property (IP) cores that will serve as the foundation for highly reliable and efficient UDSM-based integrated circuits. Building on this foundation, an advanced RISC-V microprocessor prototype will be developed and tested for performance and radiation.
In a future project, this microprocessor prototype will be advanced toward full functionality, production, and qualification, providing Europe with autonomous and highly competitive space computing capabilities, facilitating advanced AI and Edge computing to meet the demands of next-generation satellite constellations and deep-space missions.

"Frontgrade Gaisler has decades of experience supplying the space sector with advanced semiconductor products, which lends itself well to the work of EEE Space Component Sovereignty for Europe,” said Sandi Habinc, General Manager at Frontgrade Gaisler. “Through this program, we’re leveraging our expertise – along with the other participants – to advance UDSM technology and to strengthen our position in this industry.”
With its extensive history, Frontgrade Gaisler is well positioned to lead the efforts toward the next-generation, space-grade microprocessor technology. Since inception, the team has been committed to providing tangible benefits that help progress and grow the entire space community and that enable new types of space missions, offering long-term growth opportunities for the industry as a whole.
About the European Space Agency
The European Space Agency (ESA) is Europe’s gateway to space. Its mission is to shape the development of Europe’s space capability and ensure that investment in space continues to deliver benefits to the citizens of Europe and the world.
About Frontgrade Gaisler
Frontgrade Gaisler, a Frontgrade company, is a leading provider of radiation-hardened microprocessors and IP cores for critical applications, particularly in the space industry. The company’s processors are ideal for any space mission or other high-reliability application due to their reliability, fault tolerance, and radiation tolerance. Frontgrade Gaisler microprocessors can be found all over the solar system, from Mercury to Neptune.
About Frontgrade
Frontgrade Technologies is the leading provider of high-reliability, radiation-hardened solutions for defense, intelligence, commercial, and civil applications. The Company offers a complementary and integrated suite of mission critical electronics. Key products include rad-hard components, mission processing subsystems, high power amplifiers, custom ASICs, motion control systems, waveguides, antennas, and power management solutions. For more information, visit www.frontgrade.com.
 
  • Like
  • Fire
  • Love
Reactions: 30 users

Boab

I wish I could paint like Vincent
  • Like
  • Wow
  • Fire
Reactions: 12 users

AARONASX

Holding onto what I've got
A while ago I shared an analogy comparing Sean's behind-the-scenes efforts to planting an orchard—requiring time before the trees bear fruit. Recent announcements, while modest in scale, are beginning to demonstrate signs of viability and growth. While these are not the breakthrough achievements we all anticipate, they represent a promising start. It’s better to have a series of small wins first before the major announcement to truly take things off. Sean will undoubtedly be still held today/tomorrow etc to a high standards, and rightfully so; I trust he understands to maintaining momentum without slowing down.

This month's developments are particularly significant, as they underscore the hard work being put in and show that businesses are starting to see the value of Akida where as contracts are been signed. Over time, we can expect others to quickly follow suit, eager to become the third, fourth, or fifth company making announcements leveraging Akida.

So, now more than any other point in Brainchips history while trading on the ASX is a massive risk for anyone shorting, 2 announcements came out without any known prior leaks that now show some money is starting to flow in!!!,... IMO if I were shorting I would be considering an exit strategy before its too late.
 
  • Like
  • Fire
  • Love
Reactions: 48 users
Top Bottom