BRN Discussion Ongoing

No, Chris Jones started working for Meta in June 2022, see my post and his LinkedIn profile.




That’s exactly why I wrote the following:



But has there ever been any indication that Meta was indeed an EAP customer at the time? Any announcement as with other EAP customers? If not, we shouldn’t simply assume so.

But for the sake of the discussion, let’s assume for a minute it was indeed the case.


In practice, the overlapping period regarding Chris Jones working for Meta and his introduction to BrainChip and TENNs would have been much shorter, though, given that Chris Jones said on May 23, 2024

So, about a year ago, uh, I was at Meta, I was in their AI Infrastructure Group, and on an almost daily basis I would see new neural network architectures.

So, when I was introduced to BrainChip, I didn’t think I would really be impressed by anything a small team was gonna develop, erm. They told me about TENNs, I was a little bit skeptical to be honest at first. As I started getting to understand the benchmarks and a little bit more of the math and how it worked, I started to get pretty excited by what they had.”



Saying “about a year ago” on May 23, 2024 could mean July, June, May, April, possibly even March 2023. He certainly wouldn’t have put it that way if he and his colleagues had already been introduced to BrainChip in let’s say October 2022. And since he appears to have been laid off in mid-April, the potential time window shrinks to a maximum of six weeks, I’d say. That’s far from the nine months you claimed.

Your use of the participle “outplaced” instead of “laid off” implies that Meta would have helped him to find his current job? Again, there is no indication of that at all when you read his LinkedIn post, especially the last paragraph:

View attachment 65061


Mind you, I did not say there is no way that Chris Jones could have found out about TENNs while still working for Meta, but to me his words are certainly not conclusive evidence, the way FF presented them. They can very well be interpreted differently, especially with the background knowledge that he was laid off more than a year ago (which he didn’t mention in the video). I had already taken notice of that a while ago, when I had had a look at his LinkedIn profile after learning that he would be the one giving the talk Nandan Nayampally was supposed to have presented. (This was even before we found out from the Quarterly Investor podcast that Nandan and Rob had all of a sudden left the company.)

So no, mine is not a tendentious reading and I am not shooting myself in the foot either, if that is what you meant to say. My argument is well-founded. I don’t exclude the possibility that Chris Jones got introduced to BrainChip while still working for Meta, but I believe it is the unlikelier sequence of events for the reasons stated.

Also: Why would he have asked his LinkedIn network for assistance in finding a new job in his April 2023 LinkedIn post and only started working for BrainChip in October 2023? If he had already been that excited about our company prior to being laid off at Meta, they might even have been able to offer him a new position from August onwards, a smooth transition from Meta to BrainChip without a paycheck missing. Of course I have no idea whether it was possibly a deliberate decision of Chris Jones to pick October as the start date for his new job (maybe he wanted to spend quality time with his family between jobs, go on a long vacation, rest and recharge, renovate the house or perhaps he was suffering from an illness, was taking care of elderly relatives or was grieving for a loved one etc) or whether there was simply no earlier job vacancy for his position at BrainChip, but the two month gap between jobs could just as well signify that he didn’t yet know about BrainChip’s offerings by the time he started looking for a new job and that they were possibly not even his first choice.

Ultimately, everything - and that includes FF’s reading - is speculation, unless we hear it from the horse’s mouth. Can we at least agree on that?
"But has there ever been any indication that Meta was indeed an EAP customer at the time? Any announcement as with other EAP customers? If not, we shouldn’t simply assume so".

BrainChip, has said precious little, about who have been their EAP customers.

Which customers, have actually been announced, as Early Access Partners, as I cannot think of any.
I think there are only strong associations?

So I think you saying, that Meta had not been announced as an EAP, is a very weak argument against the possibility of it.
 
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Tasks
The AI (Artificial Intelligence) Research Team conducts research into current topics relating to artificial intelligence and applies the results to use cases from various specialist areas within the Group. We are researching the application of neuromorphic computing, an emerging technology that draws inspiration from neuroscience and promises particularly fast and energy-efficient machine learning. For this project, we are looking for a working student to support us in building demonstrators and developing novel algorithms.

As pioneers in the field of Innovations & Future Technologies, we overcome boundaries to identify relevant future technologies and innovations and accompany the relevant concepts from prototype to series production. We see ourselves as an innovation partner for all Mercedes-Benz development areas: From components, software & AI, the electric powertrain to the complete vehicle. In the innovation network with colleagues from various departments as well as with external company, start-up and university partners, we provide decisive impetus and steer innovations through to series production.

You will face these challenges:
  • Working with new chip technologies
  • Setting up demonstrators (streaming sensor data, training machine learning algorithms, deployment on neuromorphic chips, live visualization of processing results)
  • Further development and evaluation of novel neuromorphic algorithms
 
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IloveLamp

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itsol4605

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Power consumption doesn't matter.
The exponentially increasing power consumption is irrelevant.
As long as it doesn't play a major role, electricity consumption will continue to rise.
It will only be in 2040 that electricity will no longer be sufficient.
As long as things continue like this, nothing will change.
 
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manny100

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I want to thank you and the others here for always providing objective counterarguments and having the patience to stand up to the trolls and bashers in the HC forum. I can't manage it and quickly digress... It's due to my southern European temperament... even if one tries to stay calm. Keep it up!


Best regards,
7
Cheers
 
Wonder if we'll get a mention.

Yole appear bullish on neuromorphic.



LETTER FROM THE EDITOR
Dear Colleague,
Yole Group webinar


On Thursday, July 11, 2024 at 9 am PT, the Yole Group will deliver the free webinar “The Rise of Neuromorphic Sensing and Computing: Technology Innovations, Ecosystem Evolutions and Market Trends” in partnership with the Edge AI and Vision Alliance. The neuromorphic sensing and computing markets are projected to experience substantial growth in the coming years, reaching a combined value of $8.4B by 2034. Mobile applications will drive the neuromorphic sensing market, while data center applications will lead in the neuromorphic computing market. The neuromorphic ecosystem is maturing, with key players and startups adopting diverse strategies to capitalize on market opportunities.
Neuromorphic technologies, inspired by biological brains, offer power-efficient solutions for AI tasks, addressing the declining economic feasibility of scaling semiconductor devices. These technologies provide benefits such as low latency, high scalability, and online learning, enabling real-time edge-AI applications and addressing privacy concerns. Neuromorphic sensing options include standalone event-based sensors and hybrid sensors combining RGB and event-based pixels. Neuromorphic computing systems, featuring event-driven processing and spiking neural network algorithms, enable online learning and autonomous robotics.
This webinar, co-presented by Adrien Sanchez and Florian Domengie, senior technology and market analysts at the Yole Group, will delve into the latest advancements in neuromorphic sensing and computing technologies and their applications across various industries, offering insights into the future of sustainable and efficient AI processing at the edge. A question-and-answer session will follow the presentation. For more information and to register, please see the event page.
Brian Dipert
Editor-In-Chief, Edge AI and Vision Alliance
 
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wilzy123

Founding Member
Yeah mate, busy writing for MF at the moment. Sorry didn't have time to clown you here.
Anyway keep an eye out for me and @Iseki new articles tomorrow about IR that has done SFA and directors laughing all the way to the bank.
Really appreciated your baiting. Do keep going champ!
Seriously got nothing more to say really. Waiting for some positive news before thinking of buying back in. Have some cash ready to go at maybe around 10 or 15c.
Not advice

What a great post. I can hear the embers of all the nuggets in this post crackling away. Thanks again. The entire TSE community values you.

As always though, we feel bad about your public display of insecurities and your need to use more than zero words in a TSE post. Maybe @Iseki can help you.

72884c7f98149bd422e488510277f2b0b9-20-dumpster-fire.rhorizontal.w700.gif
 
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wilzy123

Founding Member
Power consumption doesn't matter.
The exponentially increasing power consumption is irrelevant.
As long as it doesn't play a major role, electricity consumption will continue to rise.
It will only be in 2040 that electricity will no longer be sufficient.
As long as things continue like this, nothing will change.
Have you been reading a lot of @DK6161 and @Iseki motley fool articles?
 
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A nice little article here, which also gives reference to an article others posted the other day:


"With today's news that Nvidia has become the world’s most valuable company, it is clear that there is huge level of interest and investment in future computing technologies. Nvidia's historical focus on graphics processing has left it well placed to capitalise on the demands of artificial intelligence (AI) algorithms for highly parallel computing architectures. Power consumption remains, however, a major challenge for all providers of AI hardware.

Alternative computer architectures are also receiving significant interest, with the aim being to provide powerful computing performance, but without the high power consumption associated with traditional computing.

As highlighted in this article from the BBC, a dramatically different approach takes inspiration from the brain. In neuromorphic computing, electronic devices imitate neurons and synapses, and are interconnected in a way that resembles the electrical network of the brain. The approach itself has been a research topic for many years. SpiNNaker, a technology platform that has been developed at the University of Manchester, is an ARM-based processor platform optimized for the simulation of spiking neural networks. Companies, such as SpiNNcloud Systems, are now integrating this core technology into practical solutions in the form of neuromorphic supercomputers.

While the advance of AI algorithms into ever-expanding areas of daily life is widely reported, it can also be understood that these advances are enabled by the hardware innovations of companies such as Nvidia and SpiNNcloud, which innovations will undoubtedly be protected by patents. It remains to be seen whether Nvidia's approach, the neuromorphic alternatives, or some other computing technology altogether, will come to dominate the future of AI computing.

In neuromorphic computing, electronic devices imitate neurons and synapses, and are interconnected in a way that resembles the electrical network of the brain."
 
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itsol4605

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A nice little article here, which also gives reference to an article others posted the other day:


"With today's news that Nvidia has become the world’s most valuable company, it is clear that there is huge level of interest and investment in future computing technologies. Nvidia's historical focus on graphics processing has left it well placed to capitalise on the demands of artificial intelligence (AI) algorithms for highly parallel computing architectures. Power consumption remains, however, a major challenge for all providers of AI hardware.

Alternative computer architectures are also receiving significant interest, with the aim being to provide powerful computing performance, but without the high power consumption associated with traditional computing.

As highlighted in this article from the BBC, a dramatically different approach takes inspiration from the brain. In neuromorphic computing, electronic devices imitate neurons and synapses, and are interconnected in a way that resembles the electrical network of the brain. The approach itself has been a research topic for many years. SpiNNaker, a technology platform that has been developed at the University of Manchester, is an ARM-based processor platform optimized for the simulation of spiking neural networks. Companies, such as SpiNNcloud Systems, are now integrating this core technology into practical solutions in the form of neuromorphic supercomputers.

While the advance of AI algorithms into ever-expanding areas of daily life is widely reported, it can also be understood that these advances are enabled by the hardware innovations of companies such as Nvidia and SpiNNcloud, which innovations will undoubtedly be protected by patents. It remains to be seen whether Nvidia's approach, the neuromorphic alternatives, or some other computing technology altogether, will come to dominate the future of AI computing.

In neuromorphic computing, electronic devices imitate neurons and synapses, and are interconnected in a way that resembles the electrical network of the brain."

20240620_032229.jpg



Hmm, I really like the ring of that headline..

Reminds me of another Company, that despite its sometimes "meme stock" portrayal, is relatively unknown and even discounted now, by many of the "few" that do know.

Or so it would seem, looking at the share price..

All we have to do, is "start" delivering on our commercial potential and this Company and stock, may break a few records of it's own 😉
 
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Are we a few days closer to an announcement or what ????
Come on end of June
It will be good to see the end of June and head into a new financial year with a big fat juicy ASX announcement.
I have be waiting very calmly and just want to get back to all time highs
I can’t believe that the sp is cheaper than it was 4 years ago and so much has happened since.
I am still very positive about the future but I am getting a little twitchy to be honest
And I am not sure why…..
 
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Frangipani

Top 20
Somewhat disappointingly, there is no image of Akida to be spotted in the pictures showing impressions of the first “Swedish SNN network seminar on industrial applications of SNN”.

EDF62BAB-ABB9-4805-8225-06BF6C07E811.jpeg



Ericsson’s Ahsan Javed Awan continues to be enamoured with Intel, although I noticed a slight change in his slide, where “neuromorphic hardware” is no longer followed by “(Loihi 2)”. Interesting, given that “Lava is platform-agnostic, so that applications can be prototyped on conventional CPUs/GPUs and deployed to heterogeneous system architectures spanning both conventional processors as well as a range of neuromorphic chips such as Intel’s Loihi.”
(https://lava-nc.org/)
Could that signify he is also trying out other processors these days?

June 2024
20391E44-D328-4901-90AF-CAA9B545D0EC.jpeg


https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-418864

compare to July 2023
F1C7B57A-ED08-49C8-A7D6-063E4E8E8E21.jpeg


Dylan Muir from SynSense gave a remote presentation on Speck:

4F962820-E5B7-4650-B66E-243C573FA02F.jpeg


And I also spotted the SpiNNaker and IBM logos on the opening slide of the online presentation by Jörg Conradt (KTH Stockholm) - no surprise here.

8E9399BB-B3CA-4803-83D3-929506611EB2.jpeg


Hopefully, researchers in Jörg Conradt’s Neuro Computing Systems lab that moved from Munich (TUM) to Stockholm (KTH), will give Akida another chance one of these days (after the not overly glorious assessment of two KTH Master students in their degree project Neuromorphic Medical Image Analysis at the Edge, which was shared here before: https://www.diva-portal.org/smash/get/diva2:1779206/FULLTEXT01.pdf), trusting the positive feedback by two more advanced researchers Jörg Conradt knows well, who have (resp soon will have) first-hand-experience with AKD1000:

When he was still at TUM, Jörg Conradt was the PhD supervisor of Cristian Axenie (now head of SPICES lab at TH Nürnberg, whose team came runner-up in the 2023 tinyML Pedestrian Detection Hackathon utilising Akida) and co-authored a number of papers with him, and now at Stockholm, he is the PhD supervisor of Jens Egholm Pedersen, who is one of the co-organisers of the topic area Neuromorphic systems for space applications at the upcoming Telluride Neuromorphic Workshop, that will provide participants with neuromorphic hardware, including Akida. (I’d venture a guess that the name Jens on the slide refers to him).



Let’s savour once again the above quote by Rasmus Lundqvist, who is a Senior Researcher in Autonomous Systems at RISE (Sweden’s state-owned research institute and innovation partner), with a focus on drones and innovative aerial mobility.


“And mark my words; there is no more suitable AI tech for low-power low-latency than SNNs and neuromorphic chips to run them.”


RISE’s ongoing project Visual Inspection of airspace for air traffic and SEcuRity (a collaboration with SAAB, https://www.saab.com/) sounds like a perfect use case for Akida:

89153109-5469-43E8-A369-1A5A13C99F13.jpeg

527243B4-9039-4011-BA55-62F593BCD9E3.jpeg






B42EAE03-9BF1-4B9F-B1E4-31CFBB18AA1D.jpeg
 
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IloveLamp

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Are we a few days closer to an announcement or what ????
Come on end of June
It will be good to see the end of June and head into a new financial year with a big fat juicy ASX announcement.
I have be waiting very calmly and just want to get back to all time highs
I can’t believe that the sp is cheaper than it was 4 years ago and so much has happened since.
I am still very positive about the future but I am getting a little twitchy to be honest
And I am not sure why…..
Because the push down in sp is doing exactly what it's designed to do, demoralise your confidence and make you second guess your decision to invest.

Don't let them win

My opinion only, dyor

1000009394.jpg
 
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IloveLamp

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1000016513.jpg
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Frangipani

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Somewhat disappointingly, there is no image of Akida to be spotted in the pictures showing impressions of the first “Swedish SNN network seminar on industrial applications of SNN”.

View attachment 65066


Ericsson’s Ahsan Javed Awan continues to be enamoured with Intel, although I noticed a slight change in his slide, where “neuromorphic hardware” is no longer followed by “(Loihi 2)”. Interesting, given that “Lava is platform-agnostic, so that applications can be prototyped on conventional CPUs/GPUs and deployed to heterogeneous system architectures spanning both conventional processors as well as a range of neuromorphic chips such as Intel’s Loihi.”
(https://lava-nc.org/)
Could that signify he is also trying out other processors these days?

June 2024
View attachment 65075

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-418864

compare to July 2023
View attachment 65074

Dylan Muir from SynSense gave a remote presentation on Speck:

View attachment 65067

And I also spotted the SpiNNaker and IBM logos on the opening slide of the online presentation by Jörg Conradt (KTH Stockholm) - no surprise here.

View attachment 65098

Hopefully, researchers in Jörg Conradt’s Neuro Computing Systems lab that moved from Munich (TUM) to Stockholm (KTH), will give Akida another chance one of these days (after the not overly glorious assessment of two KTH Master students in their degree project Neuromorphic Medical Image Analysis at the Edge, which was shared here before: https://www.diva-portal.org/smash/get/diva2:1779206/FULLTEXT01.pdf), trusting the positive feedback by two more advanced researchers Jörg Conradt knows well, who have (resp soon will have) first-hand-experience with AKD1000:

When he was still at TUM, Jörg Conradt was the PhD supervisor of Cristian Axenie (now head of SPICES lab at TH Nürnberg, whose team came runner-up in the 2023 tinyML Pedestrian Detection Hackathon utilising Akida) and co-authored a number of papers with him, and now at Stockholm, he is the PhD supervisor of Jens Egholm Pedersen, who is one of the co-organisers of the topic area Neuromorphic systems for space applications at the upcoming Telluride Neuromorphic Workshop, that will provide participants with neuromorphic hardware, including Akida. (I’d venture a guess that the name Jens on the slide refers to him).



Let’s savour once again the above quote by Rasmus Lundqvist, who is a Senior Researcher in Autonomous Systems at RISE (Sweden’s state-owned research institute and innovation partner), with a focus on drones and innovative aerial mobility.


“And mark my words; there is no more suitable AI tech for low-power low-latency than SNNs and neuromorphic chips to run them.”


RISE’s ongoing project Visual Inspection of airspace for air traffic and SEcuRity (a collaboration with SAAB, https://www.saab.com/) sounds like a perfect use case for Akida:

View attachment 65118
View attachment 65119





View attachment 65121

When I just now revisited yesterday’s LinkedIn post by Rasmus Lindqvist, I noticed that Markus May has meanwhile secured Alf Kuchenbuch a presentation slot at the next Swedish SNN Network event! 👍🏻

DB3B11E0-5439-4A8E-A0A7-A39E4C842DF4.jpeg
 
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DK6161

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