BRN Discussion Ongoing

[Frangipani]

Hi again @Baisyet,

hmm, I gave you a 2.5 hour head start, but since you haven’t reacted and it is already past midnight on parts of the East Coast, you are possibly already asleep. So let me share this then, before somebody else does:

Yesterday, I spotted this LinkedIn post by Pablo Miralles Roure:

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… and sometime later these comments:


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When I went back earlier today to check out any replies by Laurent Hili, I did indeed find one, but also a new question for Pablo:

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And checking back an hour or so later - voilà, there was the reply I had been hoping for and in fact suspecting…
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By the way, interesting company Pablo Miralles Roure works for:

View attachment 70818

Why suspecting, you may ask?

Because I had right away recognised the name of the BrainSat paper’s main author, Raphaël Mena Morales, formerly with Airbus Defence and Space (UK) and now with MDA Space (UK):

Paper information (83502) — IAF

iafastro.directory

(Only the paper’s first page including the abstract is accessible on this website)

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Eight months ago, I drew attention to a reading-between-the-lines comment Raphaël Mena Morales had made under a LinkedIn post by EDGX from Belgium, announcing their first collaboration with ESA regarding their project “Onboard Neuromorphic Acceleration” (by then, we had already been aware of the EDGX / BrainChip collaboration for four months) and had (rightly, as it now turns out) assumed he and his potential collaborators were not exactly unfamiliar with Akida either…

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Now does that mean that Pablo Moralle Roure’s reveal is solid evidence that all the co-authors’ employers are somehow involved and we should rush to add all of them to the list of companies or institutions “confirmed as being engaged with BrainChip”?

Of course not.

Five months ago, Raphaël Mena Morales posted the following about the BrainSat project, literally stressing it started out as a wild idea between friends and former [Airbus] colleagues, calling it an “entirely independent initiative”:

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Obviously, it is still worthwhile to take notice of the BrainSat paper’s co-authors’ current employers, as these young engineers are now definitely confirmed to have first-hand experience with AKD1000, whether or not the companies, unis or research institutions they work for have ever been engaged with our company.

Interesting double-reference to BrainChip: Before joining BAE Systems (UK), Diviya Devani was the Mission Manager and Systems Engineering Lead for Space Machines Company’s Optimus-1, the Australian satellite that was launched on March 4, with the ANT-61 Brain (and hence Akida) onboard, which sadly got lost in space before communication could be established…

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(Since I can only attach a maximum of 10 files, I will post info about the remaining co-authors in another post)

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While the submitted BrainSat paper now lists Prerna Baranwal as one of the co-authors, who was also tagged in yesterday’s LinkedIn post by Pablo Miralles Roure…


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… the five month old LinkedIn post by Raphaël Mena Morales didn’t tag her, but instead Alex Yiannakou:


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Further to my recent posts about the team around Raphaël Mena Morales, first author of the paper Brainsat: Hardware Development of a Neuromorphic On-board Computer applied to Methane Detection from Low Earth Orbit, which is being presented at the ongoing IAC2024 (International Astronautical Congress) in Milan. Thanks to @Baisyet, who had asked one of the authors in a LinkedIn comment about the neuromorphic hardware they had used, it was confirmed it had indeed been AKD1000.

As suspected, I might add…

Now here comes the software design team around Andrew Karim , who collaborated with them - we had already heard about that second group of enthusiastic young members of the Space Generation Advisory Council (SGAC) Small Satellite project group through my previous post:

Their paper - also presented at IAC2024 in Milan - is called Spiking Neural Network Design for on-board detection of methane emissions through Neuromorphic Computing.

So that makes another eight young space enthusiasts from three continents who recently had exposure to AKD1000 and will hopefully become Akida ambassadors (isn’t that catchy?! ) to their present or future employers.

Two of them do not appear to have a LinkedIn profile, here is the rest:

 

[Frangipani]

Part II:

 

[DingoBorat]

Lol. What about the people who sell in a long to those that buy at 2.34. Benefits the seller, buyer is now at a massive loss. Everything goes two ways.

Comparing it to what you've just compared it to is quite far fetched lol.

Anyways, entitled to your opinion.

Yes, we all have our opinions.

Personally I think they are unscrupulous scum and may as well sit at the same table with the aforementioned, at a function.

Do you think shorters are respectable honest type folk?

They are manipulative opportunists, who relish the manner in which they make money.

Dishonesty is their credo and that is a vein that would run through their lives and interpersonal relationships, it's an unavoidable aspect of their character.

Profit and money is their God and holds importance above all else.

There is absolutely nothing wrong with trading, as long as it's done as it is.

So called "Market Movers" fit in the same bin, they manipulate, purely to profit.

People that attempt to pump a stock (whether or not you believe sentiment affects perceived value) and then sell and reverse to downramping, are just as low life as shorters, in my opinion.

I'm sorry, but disingenuous, dishonest people and even corporations/entities with concern only for themselves and profit, above all else, just disgust me.

Honestly, in all things is a rare quality these days, some seem to think, it's an old fashioned concept.

You're welcome to think, they are just regular good folk, who you may enjoy sharing a beer with.

 

[Diogenese]

Hi Dio Ive had no luck as yet , found this from a few months ago I’ve only listened to the first couple of minutes and sounds great so far

Driving a car is going the way of horse riding ...

 

[Diogenese]

Yes, we all have our opinions.

Personally I think they are unscrupulous scum and would be sitting at the same table with the aforementioned, at a function.

Do you think shorters are respectable honest type folk?

They are manipulative opportunists, who relish the manner in which they make money.

Dishonesty is their credo and that is a vein that would run through their lives and interpersonal relationships, it's an unavoidable aspect of their character.

Profit and money is their God and holds importance above all else.

There is absolutely nothing wrong with trading, as long as it's done as it is.

People that attempt to pump a stock (whether or not you believe sentiment affects perceived value) and then sell and reverse to downramping, are just as low life as shorters, in my opinion.

I'm sorry, but disingenuous, dishonest people and even corporations/entities with concern only for themselves and profit, above all else, just disgust me.

Honestly, in all things is a rare quality these days, some seem to think, it's an old fashioned concept.

You're welcome to think, they are just regular good folk, who you may enjoy sharing a beer with.

Hi DB,

Shorting per se is legal. As you point out, it is the manipulation which is contemptible. The problem is that it seems that shorting in frequently associated with manipulation,.

Personally I think shorting should be banned because the ASIC are unwilling/incapable of preventing the manipulation.

Shorting is also contary to the raison d'etre of the stock market, which is to facilitate investment in wealth/employment-creating companies. Shorting serves as a means of draining capital from the investment pool, but as long as Dracula is in charge, it's no surprise that honest investors are bled dry.

 

[DingoBorat]

Boston Dynamics and Toyota Research Institute Announce Partnership to Advance Robotics Research | Toyota Research Institute

www.tri.global

Toyota Research Institute on LinkedIn: Toyota Joins With Hyundai’s Boston Dynamics on AI-Powered Robots

“The work that we’re doing in generative AI can be a tremendous complement to the kind of work that Boston Dynamics has done.” – Gill Pratt, Chief Scientist at…

www.linkedin.com

View attachment 71269

I understand and thought, more car manufacturers, would move towards producing humanoid robots, because it just makes so much sense.

The profit margins would be higher and the supply chains, componentry and interconnected systems would be lower (on a whole).

It's also an untapped market, with massive potential.

But isn't Boston Dynamics owned by Hyundai?

Why would they now be working with Toyota, unless Hyundai and Toyota, are also collaborating?..

"Toyota is Japanese and Hyundai/Kia is Korean. They are rivals and at this stage Toyota sells vastly more vehicles and has vehicles in just about every category"

 

[Baisyet]

Further to my recent posts about the team around Raphaël Mena Morales, first author of the paper Brainsat: Hardware Development of a Neuromorphic On-board Computer applied to Methane Detection from Low Earth Orbit, which is being presented at the ongoing IAC2024 (International Astronautical Congress) in Milan. Thanks to @Baisyet, who had asked one of the authors in a LinkedIn comment about the neuromorphic hardware they had used, it was confirmed it had indeed been AKD1000.

As suspected, I might add…

View attachment 71278


Now here comes the software design team around Andrew Karim , who collaborated with them - we had already heard about that second group of enthusiastic young members of the Space Generation Advisory Council (SGAC) Small Satellite project group through my previous post:

View attachment 71266

Their paper - also presented at IAC2024 in Milan - is called Spiking Neural Network Design for on-board detection of methane emissions through Neuromorphic Computing.

View attachment 71268

View attachment 71267
So that makes another eight young space enthusiasts from three continents who recently had exposure to AKD1000 and will hopefully become Akida ambassadors (isn’t that catchy?! ) to their present or future employers.

Two of them do not appear to have a LinkedIn profile, here is the rest:


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Noice

 

[JB49]

https://www.intel.com/content/dam/www/central-libraries/us/en/documents/neuromorphic-computing-loihi-2-brief.pdf

FF shared the above article over on the other site.

Interesting comment in the article: One of the biggest challenges holding back the commercialization of neuromorphic technology is the lack of software maturity and convergence. Since neuromorphic architecture is fundamentally incompatible with standard programming models, including today’s machine-learning and AI frameworks in wide use, neuromorphic software and application development is often fragmented across research teams, with different groups taking different approaches and often reinventing common functionality. Yet to emerge is a single, common software framework for neuromorphic computing that supports the full range of approaches pursued by the research community that presents compelling and productive abstractions to application developers.

Dio do you think our software assists in bridging the gap they are referring to?

 

[Wags]

Boston Dynamics and Toyota Research Institute Announce Partnership to Advance Robotics Research | Toyota Research Institute

www.tri.global

Toyota Research Institute on LinkedIn: Toyota Joins With Hyundai’s Boston Dynamics on AI-Powered Robots

“The work that we’re doing in generative AI can be a tremendous complement to the kind of work that Boston Dynamics has done.” – Gill Pratt, Chief Scientist at…

www.linkedin.com

View attachment 71269

Interesting TRI are hooked in to a common university program.


The following universities completed a comprehensive proposal submission and review process and will participate in the next phase of TRI’s collaborative research program:

1. Carnegie Mellon University
2. Columbia University
3. Florida A&M University-Florida State University College of Engineering
4. Georgia Institute of Technology (Georgia Tech)
5. Indiana University
6. Massachusetts Institute Technology (MIT)
7. Princeton University
8. Smith College
9. Stanford University
10. Toyota Technological Institute at Chicago (TTIC)
11. University of California, Berkeley
12. University of Illinois
13. University of Michigan
14. University of Minnesota
15. University of Pennsylvania
16. UCLA

 

[db1969oz]

https://www.intel.com/content/dam/www/central-libraries/us/en/documents/neuromorphic-computing-loihi-2-brief.pdf

https://www.intel.com/content/dam/www/central-libraries/us/en/documents/neuromorphic-computing-loihi-2-brief.pdf

FF shared the above article over on the other site.

Interesting comment in the article: One of the biggest challenges holding back the commercialization of neuromorphic technology is the lack of software maturity and convergence. Since neuromorphic architecture is fundamentally incompatible with standard programming models, including today’s machine-learning and AI frameworks in wide use, neuromorphic software and application development is often fragmented across research teams, with different groups taking different approaches and often reinventing common functionality. Yet to emerge is a single, common software framework for neuromorphic computing that supports the full range of approaches pursued by the research community that presents compelling and productive abstractions to application developers.

Dio do you think our software assists in bridging the gap they are referring

https://www.intel.com/content/dam/www/central-libraries/us/en/documents/neuromorphic-computing-loihi-2-brief.pdf

FF shared the above article over on the other site.

Interesting comment in the article: One of the biggest challenges holding back the commercialization of neuromorphic technology is the lack of software maturity and convergence. Since neuromorphic architecture is fundamentally incompatible with standard programming models, including today’s machine-learning and AI frameworks in wide use, neuromorphic software and application development is often fragmented across research teams, with different groups taking different approaches and often reinventing common functionality. Yet to emerge is a single, common software framework for neuromorphic computing that supports the full range of approaches pursued by the research community that presents compelling and productive abstractions to application developers.

Dio do you think our software assists in bridging the gap they are referring to?

Does this have publish date anywhere? It says three years of research since establishment in 2018? So this article may be 3 years old now? But i can't see a date anywhere?

 

[Bravo]

This article is excellent as it outlines how the CIO's of many companies are starting to embrace edge computing and planning edge technologies in their 2025 roadmaps.

One of the CIO's interviewed in the article is Nate Melby from a Wisconsin-based electricity supply company called Dairyland Power Corporations. Nate goes on to explain the advantages of real-time processing on the edge because of it's ability to optimize the performance of their infrastructure.

What is also very interesting is that in the second article posted below, published in April 2024, Nate Melby describes how Dairyland are looking at ways to leverage retrieval generation (RAG). This caught my attention because this is what BrainChip was demonstrating recently at the Edge AI and Vision Summit.

I wonder if Tony Lewis is aware of Dairyland's interest in this area?




Published 16 Oct 2024

AI makes edge computing more relevant to CIOs

The new era of autonomous systems will require rapid data processing closer to the source. This has some CIOs adding AI at the network edge to their 2025 roadmaps.

www.cio.com

Published 9 April 2024

Dairyland powers up for a generative AI edge

Under the leadership of CIO Nate Melby, the Midwestern utility has been an early mover in putting machine learning and LLMs to work to deliver safe, reliable, and affordable electricity to its members.

www.cio.com

EXTRACT

BrainChip demonstration of LLM-RAG at the Edge AI and Vision Summit

 

[Bravo]

It’s All About Edge AI, But Where’s the Revenue?​

By Nitin Dahad 10.15.2024 0
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Edge AI is the chip industry mantra at the moment. At embedded world North America in Austin, Texas, last week, there was plenty to talk about on this topic. We caught up with Counterpoint Research’s head of AI and IoT, Mohit Agrawal, at the show to get his perspective on key trends and opportunities in AI.
He was fresh from his keynote at Counterpoint’s own AI Summit in Silicon Valley the previous week, where he questioned whether we were in an AI bubble, with billions to trillions of dollars in investments in infrastructure—from training to inferencing—and questions now arising about when and how serious “monetization” will kick in.
In this video interview, Agrawal puts this into context in terms of key trends in the IoT. “In AI at the moment, money is going into infrastructure and models, but not applications as yet,” he said. However, there is potential for revenue from embedded applications.

Agrawal also highlights the amount of compute going into cellular IoT modules and how it is increasing significantly. “We estimate the number of modules with NPUs over the next seven years will be 31× the number being sold today,” he said (see chart below). “That will light up a lot of applications.”

https://www.eetimes.com/its-all-about-edge-ai-but-wheres-the-revenue/

 

[Bravo]

SK Telecom Publishes White Paper on How the Future Telco Infrastructure Will Evolve in the AI Era​

15 October 2024
SK Telecom
PR
• SK Telecom releases 6G white paper, outlining the evolution of wireless and wired infrastructure based on the convergence of AI and telecommunications
• 6G white paper focuses on how Telco Edge AI infrastructure can rerate the value of the network infrastructure, simultaneously delivering real-time data processing and AI services
• SK Telecom emphasizes the need to build a global ecosystem, discover promising business models, and technological evolution in the AI era

SK Telecom (NYSE: SKM, “SKT”) today released its latest white paper, ‘SK Telecom 6G White Paper: View on Future AI Telco Infrastructure,’ laying out the evolution direction of the next-generation telco network infrastructure through the convergence of artificial intelligence (AI) and telecommunications.
In its first 6G white paper published last year, SKT provided an analysis of the key requirements for 6G standardization, technology trends, candidate frequencies, among others.
In this latest 6G white paper released this year, SKT defines the key elements for 6G infrastructure evolution as ‘Cloud-Native, Green-Native, and AI-Native,’ and presents the direction of the 6G infrastructure evolution based on the ubiquitous intelligence emphasized in the International Telecommunication Union’s (ITU) 6G Framework Recommendations (IMT-2030).
In the 6G era, the company anticipates adopting a flexible network architecture based on ‘Generation Mix,’ which appropriately combines previous generations of mobile communications, while considering data traffic demands and specialized services.
SKT’s white paper also highlights the concept of ‘Telco Edge AI’ infrastructure, which combines telecom network infrastructure and AI to simultaneously provide real-time data processing and AI services.
SKT asserts that the next-generation telecommunications business should move beyond simply generating revenue based on traffic demand and shift its paradigm toward enhancing the value of the infrastructure itself.
To this end, SKT explains that the value of telecommunications networks can be enhanced by integrating AI solutions into telecom infrastructure, allowing real-time AI inference. The white paper further emphasizes that for a successful evolution, it is essential to build global ecosystem partnerships, discover promising business models, and advance technology in areas such as radio access networks, core networks, transport networks, devices, and AI orchestration.
“Through this white paper, we aim to present the direction of the next-generation infrastructure evolution based on Telco Edge AI and explore the expansion of the relevant ecosystem,” said Yu Takki, Vice President and Head of Infra Technology Office at SKT. He added, “We are committed to leading the transition to 6G by developing AI-powered wireless and wired networks that create new value through the convergence of AI and telecommunications.”
The full white paper can be accessed by clicking here.



Here are some extracts from the white paper that I thought were interesting.


1.

2.

3.

Speaking of NPU's, our NPU, AKIDA Pico, is being marketed as THE lowest power.

 

[Deadpool]

Brainchip Akida Architecture Overview​

Last updated on 10/16/24

Brainchip Akida Architecture Overview | Restackio

Explore the innovative BrainChip Akida architecture designed for Neuromorphic AI hardware, enhancing processing efficiency and performance. | Restackio

www.restack.io

 

[SERA2g]

Adam Osseiran gave a presentation on the Akida Pico at the AI Innovation Summit Australia - Indonesia

View attachment 71257 View attachment 71259 View attachment 71260
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Dam! I went to one of their events a few years ago which Peter presented at and wrote a pretty detailed summary of Peter's presentation and the general Q&A that followed. I didn't get a notification that this event was on otherwise I would have attended and done the same. Shame!

 

[Jimmy17]

Yes, we all have our opinions.

Personally I think they are unscrupulous scum and may as well sit at the same table with the aforementioned, at a function.

Do you think shorters are respectable honest type folk?

They are manipulative opportunists, who relish the manner in which they make money.

Dishonesty is their credo and that is a vein that would run through their lives and interpersonal relationships, it's an unavoidable aspect of their character.

Profit and money is their God and holds importance above all else.

There is absolutely nothing wrong with trading, as long as it's done as it is.

So called "Market Movers" fit in the same bin, they manipulate, purely to profit.

People that attempt to pump a stock (whether or not you believe sentiment affects perceived value) and then sell and reverse to downramping, are just as low life as shorters, in my opinion.

I'm sorry, but disingenuous, dishonest people and even corporations/entities with concern only for themselves and profit, above all else, just disgust me.

Honestly, in all things is a rare quality these days, some seem to think, it's an old fashioned concept.

You're welcome to think, they are just regular good folk, who you may enjoy sharing a beer with.

I agree with this however they work within the rules of the game. It's our Governments and financial regulators that create the environment for the scummy parasites to operate. There are good reasons why shorting has been banned on other stock exchanges.

 

[itsol4605]

Brainchip Akida Architecture Overview​

Last updated on 10/16/24

Brainchip Akida Architecture Overview | Restackio

Explore the innovative BrainChip Akida architecture designed for Neuromorphic AI hardware, enhancing processing efficiency and performance. | Restackio

www.restack.io

Link does not work anymore

 

[HopalongPetrovski]

I agree with this however they work within the rules of the game. It's our Governments and financial regulators that create the environment for the scummy parasites to operate. There are good reasons why shorting has been banned on other stock exchanges.

As in politics, religion, society and all human constructs, corruption is inherent in the system.
Doesn't mean that its either all bad or that it cannot be improved, but big change is unlikely in my view.
The system is well protected by those, behind those, whose hands are on the levers, who gain directly the most, from the current settings.
Bit like the state of our cockeyed housing market.
Any government trying to initiate any meaningful change will be crucified at the polls by the majority of voters who want their primary asset to keep appreciating as opposed to the minority currently struggling for a foothold in the market.
The mistake was designating housing not as necessary and required shelter but as wealth enhancement, and then designing and entrenching systems which perverted the tax function towards that end.

 

[Space Cadet]

As in politics, religion, society and all human constructs, corruption is inherent in the system.
Doesn't mean that its either all bad or that it cannot be improved, but big change is unlikely in my view.
The system is well protected by those, behind those, whose hands are on the levers, who gain directly the most, from the current settings.
Bit like the state of our cockeyed housing market.
Any government trying to initiate any meaningful change will be crucified at the polls by the majority of voters who want their primary asset to keep appreciating as opposed to the minority currently struggling for a foothold in the market.
The mistake was designating housing not as necessary and required shelter but as wealth enhancement, and then designing and entrenching systems which perverted the tax function towards that end.

Like or loath Jacqui Lambie, she came up with one of the best opinions I've seen. She was talking about negative gearing in real estate and was being shouted down from other pollies. She pointed put that the pollie doing the most winging had about 20 houses negative geared. She said fair enough to have 1 or 2 houses that had tax incentives but 20 was taking the piss, pretty much.

SC

 

[McHale]

https://www.intel.com/content/dam/www/central-libraries/us/en/documents/neuromorphic-computing-loihi-2-brief.pdf

FF shared the above article over on the other site.

Interesting comment in the article: One of the biggest challenges holding back the commercialization of neuromorphic technology is the lack of software maturity and convergence. Since neuromorphic architecture is fundamentally incompatible with standard programming models, including today’s machine-learning and AI frameworks in wide use, neuromorphic software and application development is often fragmented across research teams, with different groups taking different approaches and often reinventing common functionality. Yet to emerge is a single, common software framework for neuromorphic computing that supports the full range of approaches pursued by the research community that presents compelling and productive abstractions to application developers.

Dio do you think our software assists in bridging the gap they are referring to?

Hi @JB49, as I understand it BRN are using several programming models to support the various iterations of Akida, but have wondered myself why a single format could not be implemented/devised.

But the main reason I'm replying is to say that the video you put up Tuesday (post #90,294) regarding Intel and Loihi is quite definitive, with Mike Davies saying that his view is that: Loihi "Is quite some time away" with an emphasis on the "quite" - which made it very clear that it will be no time soon.

Your post came after @Bravo had posted (#90,274) regarding Mercedes working on a project with Intel, being the Naomi4 project which also included working with Univ of Waterloo Canada and Prof Chris Eliasmith, I was initially disappointed, but on reflection realized this is a current research project.

The important fact is that BRN have been partnered with Mercedes for several years and Akida is the only neuromorphic chip that is ready to go. However after watching the video you put up, I don't think anyone will be putting Loihi into a product any time soon, regardless there will be a lot of businesses who will be looking at Loihi because Intel have such a pre-eminent position in chip making.

Which of course goes back to the challenge facing BRN with regard to introducing a disruptive new technology in a business environment dominated by titans like Intel et al.