BRN Discussion Ongoing

Tothemoon24

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TSMC has been very clear that the N3 node will be a very important volume product for a long time, and it is interesting that Nvidia chose to not use it when Apple did for its smartphone chips and both AMD and Intel are going to with their future CPUs. Apple is reportedly eating all of TSMC’s N3 capacity for its homegrown, Arm-based smartphone and Mac PC processors. It looks to us like Nvidia is hanging back on the N3 process as Apple helps TSMC work out the kinks in this somewhat troublesome 3 nanometer process, and we assume that Apple will also be in the driver’s seat with TSMC’s N2 2 nanometer nanosheet transistor process, which will be seeing real competition from a credible 18A process from Intel Foundry in 2025. But TSMC has been clear that it think its enhanced 3 nanometer process, called N3P, will be able to go up against Intel’s 18A.



The rumor is that most of the $15 billion in advanced bookings over many years that Intel Foundry has on the books are for Arm server chips and AI training and inference chips that Microsoft is building for its own use and for that of partner OpenAI. And with national security flag waving as well as the practicalities of needing a second source for chip suppliers among all chip designers, we think that Intel might be low-balling its aspirations of having $15 billion a year in external foundry revenues by 2030, and we can see the internal Intel product groups for chips in PCs and servers to drive maybe $25 billion in additional foundry revenues. That’s $40 billion, and who knows how profitable Intel Foundry will be.
 
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IloveLamp

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"BrainChip leads the market in Neuromorphic IP, which allows our customers to build very low energy AI devices at the edge.

Neuromorphic technology excels at the edge where most workloads are streaming workloads where each individual frame of data is highly correlated with the previous," said Tony Lewis, CTO of BrainChip.

"We can take advantage of these correlations to dramatically reduce our power requirements. In contrast, cloud-based AI has evolved an ecosystem of hardware optimized for non-correlated workloads.

We feel that we will have an advantage over other companies who merely try to enable cloud computation at the edge. At the edge, you have to rethink hardware from the ground up. This is what BrainChip has done."
 
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Guzzi62

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"BrainChip leads the market in Neuromorphic IP, which allows our customers to build very low energy AI devices at the edge.

Neuromorphic technology excels at the edge where most workloads are streaming workloads where each individual frame of data is highly correlated with the previous," said Tony Lewis, CTO of BrainChip.

"We can take advantage of these correlations to dramatically reduce our power requirements. In contrast, cloud-based AI has evolved an ecosystem of hardware optimized for non-correlated workloads.

We feel that we will have an advantage over other companies who merely try to enable cloud computation at the edge. At the edge, you have to rethink hardware from the ground up. This is what BrainChip has done."
Nice one.

So since they are showcasing as quote:

At the summit, Chris Jones, Senior Product Manager at BrainChip, will present Akida’s enhanced features, including the ability to learn efficiently on extremely small form factor devices, head pose and emotion classification, all done in real-time without cloud connectivity. Company executives will be on hand to offer a presentation and demonstrate the attributes of some of the sustainable and efficient AI solutions leveraging the Akida IP.
As part of its exhibition, BrainChip will showcase their latest iteration of Akida technology that enables more advanced, more capable, and more accurate AI. In combining NVISO Group AI Human Behavioral Software and BrainChip’s Akida neuromorphic compute, the resulting system monitors the state of the users through real-time perception and observation of head and body pose, eye tracking and gaze, as well as indicates emotion reasoning.

Does that mean that they have a real Gen2 chip(s) at hand for the presentation or merely simulating?
 
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Diogenese

Top 20
Nice one.

So since they are showcasing as quote:

At the summit, Chris Jones, Senior Product Manager at BrainChip, will present Akida’s enhanced features, including the ability to learn efficiently on extremely small form factor devices, head pose and emotion classification, all done in real-time without cloud connectivity. Company executives will be on hand to offer a presentation and demonstrate the attributes of some of the sustainable and efficient AI solutions leveraging the Akida IP.
As part of its exhibition, BrainChip will showcase their latest iteration of Akida technology that enables more advanced, more capable, and more accurate AI. In combining NVISO Group AI Human Behavioral Software and BrainChip’s Akida neuromorphic compute, the resulting system monitors the state of the users through real-time perception and observation of head and body pose, eye tracking and gaze, as well as indicates emotion reasoning.

Does that mean that they have a real Gen2 chip(s) at hand for the presentation or merely simulating?
We were told BRN pulled out of poducing an Akida 2 SoC because we didn't want to step on "someone's" toes.

Now we are doing a pas de deux with Nviso.

Out of 17 business-related items on Nviso's News page, 4 relate to BRN, starting from 19/4/2022:

https://nviso.ai/news/

NVISO and BrainChip partner on Human Behavioral Analytics in automotive and edge AI devices

April 19, 2022
Lausanne, Switzerland & Laguna Hills, Calif. – April 19, 2022 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of neuromorphic AI



NVISO advances its Human Behaviour AI SDK for neuromorphic computing using the BrainChip Akida platform

May 11, 2022
Lausanne, Switzerland – May 11, 2022 – nViso SA (NVISO), the leading Human Behavioural Analytics AI company, today announced at the AI Expo Japan new capabilities


NVISO announces it has reached a key interoperability milestone with BrainChip Akida Neuromorphic IP

July 18, 2022
To learn more about the BrainChip Akdia interoperability results please click here to register for the results presentation on 20th July 2022 at 7pm AEST. NVISO has


NVISO’s latest Neuro SDK to be demonstrated running on the BrainChip Akida fully digital neuromorphic processor platform at CES 2023

January 2, 2023
Following the recent NVISO Neuro SDK milestone release, including two new high performance AI Apps from its Human Behavior AI App catalogue, Gaze and Action


The key interoperability milestone was announced 3 months after the Nviso/Brainchip partnership was announced. That is an indication that the technologies fit like a hand in a glove.


There are several other Nviso partnerships mentioned:

Panasonic, Interior Monitoring Systems, Siemens, Unith, Privately SA.

I'm guessing Nviso is handling these partnerships with kid gloves.

Nviso list healthcare, Consumer Robots, Automotive Interiors, and Gaming as their fields of interest.

Nviso's patent relates to a software-implemented CNN method, so Akida would have been a revelation.

US11048921B2 Image processing system for extracting a behavioral profile from images of an individual specific to an event 20180509

1713625954657.png



So did BRN hold off on Akida2 SoC at Nviso's behest? - Highly improbable because Nviso is software-based.

So who(m?)?
 
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cosors

👀
New LinkedIn post by Laurent Hili from ESA who is looking forward to attending the 2024 Hardware & Edge AI Summit in San Jose in September…


Note that the pictures were taken at the 2022 Hardware & Edge AI Summit.


View attachment 61111


View attachment 61113

View attachment 61112
Back then, everything was at least halfway normal with the tablecloth.
All this new-fangled stuff ...
 
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Boab

I wish I could paint like Vincent
We were told BRN pulled out of poducing an Akida 2 SoC because we didn't want to step on "someone's" toes.

Now we are doing a pas de deux with Nviso.

Out of 17 business-related items on Nviso's News page, 4 relate to BRN, starting from 19/4/2022:

https://nviso.ai/news/

NVISO and BrainChip partner on Human Behavioral Analytics in automotive and edge AI devices

April 19, 2022
Lausanne, Switzerland & Laguna Hills, Calif. – April 19, 2022 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of neuromorphic AI



NVISO advances its Human Behaviour AI SDK for neuromorphic computing using the BrainChip Akida platform

May 11, 2022
Lausanne, Switzerland – May 11, 2022 – nViso SA (NVISO), the leading Human Behavioural Analytics AI company, today announced at the AI Expo Japan new capabilities


NVISO announces it has reached a key interoperability milestone with BrainChip Akida Neuromorphic IP

July 18, 2022
To learn more about the BrainChip Akdia interoperability results please click here to register for the results presentation on 20th July 2022 at 7pm AEST. NVISO has


NVISO’s latest Neuro SDK to be demonstrated running on the BrainChip Akida fully digital neuromorphic processor platform at CES 2023

January 2, 2023
Following the recent NVISO Neuro SDK milestone release, including two new high performance AI Apps from its Human Behavior AI App catalogue, Gaze and Action


The key interoperability milestone was announced 3 months after the Nviso/Brainchip partnership was announced. That is an indication that the technologies fit like a hand in a glove.


There are several other Nviso partnerships mentioned:

Panasonic, Interior Monitoring Systems, Siemens, Unith, Privately SA.

I'm guessing Nviso is handling these partnerships with kid gloves.

Nviso list healthcare, Consumer Robots, Automotive Interiors, and Gaming as their fields of interest.

Nviso's patent relates to a software-implemented CNN method, so Akida would have been a revelation.

US11048921B2 Image processing system for extracting a behavioral profile from images of an individual specific to an event 20180509

View attachment 61211


So did BRN hold off on Akida2 SoC at Nviso's behest?
This is worth a read.
It talks about a deferral. (They had problems in March 2023 and later announced a change of management)
Could this be the deferral that SH spoke about? Although I'm not sure Nviso had the readies but YPB has.
Nviso's technology is used by Panasonic.


EDIT
Looks like YPB had a shitty 2023 according to their end of year Annual report....
And this didn't help
1713643069074.png
 
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IloveLamp

Top 20
This ones in our backyard 🇦🇺🔥🚀


MELBOURNE, Australia, April 09, 2024 (GLOBE NEWSWIRE) -- Picture it: a bustling manufacturing plant where every machine, every process, and every component seamlessly communicates to optimize operations. In this scenario, a predictive maintenance system powered by the Industrial Internet of Things (IIoT) detects a subtle anomaly in a critical piece of machinery, well before it escalates into a costly breakdown. Instantly, an alert is sent to the maintenance team, who then remotely access the machine's diagnostic data, pinpoint the issue, and schedule a maintenance intervention – all without disrupting production.

The benefits of IIoT cannot be overstated. When implemented effectively, IIoT ecosystems can improve efficiency, productivity and transparency, encompassing everything from optimizing business processes and resource deployments to scheduling predictive maintenance and dynamically reacting to local changes – all in real-time.

As technology continues to evolve, the adoption of PLC and wireless hybrid networks is expected to grow, unlocking new possibilities and driving innovation across industries. With its pioneering support for the first industry hybrid mesh standard and highly reliable, scalable, flexible solutions, Semitech is paving the way for smarter, more efficient IIoT applications.

1000015279.jpg
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IloveLamp

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TECH

Regular
👆🏻Told ya, but here it is straight from the horse’s mouth: 👇🏻

Tony Lewis getting yet another mention by Ralph Etienne-Cummings (Professor of Electrical and Computer engineering at Johns Hopkins University) in the latest Brains & Machines podcast, who also refers to and expresses his interest in the new Akida Edge AI Box (built in partnership with VVDN):


View attachment 61187


When posting about the recent Brains & Machines podcast with Amirezza Yousefzadah, one of my comments was:


👆🏻Bingo! So at the time the podcast with Elisa Donati was recorded, Sunny Bains was planning to meet up with our CTO before or after NICE 2024, which means sometime next week! Let’s keep our fingers crossed that this prospective visit of hers will work out and lead to an intriguing podcast episode…


View attachment 61188

Yet again, top class articles...thanks from me personally....your efforts researching completes a nice circle when included with all the
other fantastic contributors on this site, it's so much calmer when dominating personalities and egos aren't totally disrupting the
flow, both negative and positive comments are welcomed as long as some factual research backs up what is stated as fact, if that
makes sense.

That's my view anyway...☮️

❤️ AKIDA TECH
 
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Kachoo

Regular
I doubt it. I can't find a connection.
I hope not, it is better to have two customers than just one 😂
Oh I agree have 2 customers is better. When others see this product then more will come just takes time even if we Akida all the world garbage bins only it be billions lol.

This is for the better of the human race proper garbage sorting and recycling!
 
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Yet again, top class articles...thanks from me personally....your efforts researching completes a nice circle when included with all the
other fantastic contributors on this site, it's so much calmer when dominating personalities and egos aren't totally disrupting the
flow, both negative and positive comments are welcomed as long as some factual research backs up what is stated as fact, if that
makes sense.

That's my view anyway...☮️

❤️ AKIDA TECH
You are spot on Tech
It’s actually making me feel like I want to come on here and read and not just skip over most of the posts.
 
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Justchilln

Regular
Anyone know if valeo is still listed on our webpage anywhere?
Can’t see it in partners
 
Anyone know if valeo is still listed on our webpage anywhere?
Can’t see it in partners
It's on the homepage down the bottom with NASA / Mercedes
 

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Bravo

If ARM was an arm, BRN would be its biceps💪!
Check out BMW Group's Technology Trend Radar! 😘






Screenshot 2024-04-21 at 1.19.33 pm.png

Screenshot 2024-04-21 at 1.20.36 pm.png

Screenshot 2024-04-21 at 1.19.45 pm.png


 
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Boab

I wish I could paint like Vincent
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Diogenese

Top 20
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Bravo

If ARM was an arm, BRN would be its biceps💪!
They are working with SynSense😩😩

BMW are using Synsense's 'Speck' for vision processing functions. Not sure who or what they using for speech recognition.


Anyhooo, Synsense can only achieve a speck of what we can.



Screen Shot 2023-01-01 at 3.51.45 pm.png
 
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I see Ivonne Bernier who appears attached to Spin Quantum Tech knows of us too.

Wonder if they've had a look under the hood at all so to speak?

I see Andreas Weber, who has been mentioned here previously, made a quick comment. Presume he is a SH possibly that just happens to work for Sigmatronik.






Ivonne Bernier​

Technical Researcher- Quantum Computing - Molecular Simulation - Business Mentor​

Spin Quantum Tech Top-E University​




Ivonne Bernier
Technical Researcher- Quantum Computing - Molecular Simulation -Business Mentor
2w

The Role of Spatial Event Neural Network (SNN) Chips Spatial Event Neural Network (SNN) chips are an innovation in artificial intelligence. These neuromorphic chips mimic the interaction and information processing of neurons in our brains in an event-driven manner, increasing energy efficiency and performance. Akida, developed by BrainChip, is an example of an SNN. Like a biological brain, it learns from its environment, recognizes patterns, and makes decisions based on the information it receives. SNN chips have various applications in autonomous vehicles, drones, robotics, security systems, virtual assistants, medicine, and the Internet of Things (IoT). Intel and IBM have also developed their own neuromorphic chips, each with its own advantages and disadvantages. Unlike conventional neural networks, SNN chips offer more efficient learning, making them useful where data is scarce or expensive to obtain. The future of SNN chips appears promising. Current research is focused on improving the energy efficiency and adaptability of artificial intelligence systems. SNN chips are particularly suitable for low-power systems, enabling the creation of smaller, more portable, and efficient devices. In conclusion, SNN chips are revolutionising information processing by more closely mimicking the workings of the human brain. Their potential in a wide range of applications underscores their importance in the future of technology.

Andreas Weber
artificial intelligence, hydrogen, modern cell technology and Cannabinoid medicals is the future!
2w

Akida is a great technology
 
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TECH

Regular
I see Ivonne Bernier who appears attached to Spin Quantum Tech knows of us too.

Wonder if they've had a look under the hood at all so to speak?

I see Andreas Weber, who has been mentioned here previously, made a quick comment. Presume he is a SH possibly that just happens to work for Sigmatronik.






Ivonne Bernier​

Technical Researcher- Quantum Computing - Molecular Simulation - Business Mentor​

Spin Quantum Tech Top-E University​




Ivonne Bernier
Technical Researcher- Quantum Computing - Molecular Simulation -Business Mentor
2w

The Role of Spatial Event Neural Network (SNN) Chips Spatial Event Neural Network (SNN) chips are an innovation in artificial intelligence. These neuromorphic chips mimic the interaction and information processing of neurons in our brains in an event-driven manner, increasing energy efficiency and performance. Akida, developed by BrainChip, is an example of an SNN. Like a biological brain, it learns from its environment, recognizes patterns, and makes decisions based on the information it receives. SNN chips have various applications in autonomous vehicles, drones, robotics, security systems, virtual assistants, medicine, and the Internet of Things (IoT). Intel and IBM have also developed their own neuromorphic chips, each with its own advantages and disadvantages. Unlike conventional neural networks, SNN chips offer more efficient learning, making them useful where data is scarce or expensive to obtain. The future of SNN chips appears promising. Current research is focused on improving the energy efficiency and adaptability of artificial intelligence systems. SNN chips are particularly suitable for low-power systems, enabling the creation of smaller, more portable, and efficient devices. In conclusion, SNN chips are revolutionising information processing by more closely mimicking the workings of the human brain. Their potential in a wide range of applications underscores their importance in the future of technology.

Andreas Weber
artificial intelligence, hydrogen, modern cell technology and Cannabinoid medicals is the future!
2w

Akida is a great technology

It just goes to show how far Peters research in his earliest years has launched us to this lead we currently enjoy...a lot of what is being
stated by numerous companies who have now discovered how advanced Neural Nets are, especially our Spiking variety we have all
been educated in/on about 10 years ago, thanks to Peter, Anil, Kris and all the other guys and girls who have helped and continue to help
Brainchip achieve 'Rock Star' status (hopefully).

AKD 1000 AKD 1500 AKD 2000 and moving ever so closer...AKD 3000...and 3 of which are 100% available now and setting the benchmark
which the company believe their IP will end up in everything, everywhere...(that I'd suggest is the target, NOT a proven fact to date).

Of course, that's just my opinion....thanks for your post, FMF....top stuff...Tech (y)
 
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