BRN Discussion Ongoing

[IloveLamp]

Could potentially add these guys to the growing list of companies we could be working with in space.

Cecilia used to work for BAE systems too....

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[Vladsblood]

Ok it's getting late now lol

Down like a lead balloon...Vlad.

 

[buena suerte :-)]

Ok it's getting late now lol

 

[jk6199]

Another company connection and the price gets pushed down!

How many times are they going to give me a chance to top up ?

Gotta laugh, gonna be rich or a cheap alcoholic.

 

[SERA2g]

A question to all founding members (except wilzy) - I’m genuinely interested what the difference between a founding member is and a contributor who joined on day one?

Hi Rob

https://thestockexchange.com.au/threads/milestone-achieved-1-000-registrations-in-just-over-4-days.156/

I think this summarises it well.

But for additional context,, the website wasn't made live all of sudden and we, being everyone, all piled in.

There was planning that went into it in the weeks/days leading up to the website going live. Those with Founding Member status were in discussion with Zeebot during that period, bouncing ideas off of one another to help with the development of the forum. Once it was made live, we set up our accounts and then flooded HC with links and 'advertisements' to get the 1000 eyes across, hence why your join date is the same as ours.

Cheers

 

[TheDrooben]

Another company connection and the price gets pushed down!

How many times are they going to give me a chance to top up ?

Gotta laugh, gonna be rich or a cheap alcoholic.

It's like knowing the winning lotto numbers in the future but you have to pick the same numbers every week until they come out......

Just keep buying tickets......

 

[Xhosa12345]

Another company connection and the price gets pushed down!

How many times are they going to give me a chance to top up ?

Gotta laugh, gonna be rich or a cheap alcoholic.

 

[Esq.111]

You need to label that chart , SHAREHOLDERS wealth.

Then do second chart. the same chart & share trajectory but rotate the grog selection & title, DIRECTORS wealth.

Esq

 

[robsmark]

Hi Rob

https://thestockexchange.com.au/threads/milestone-achieved-1-000-registrations-in-just-over-4-days.156/

I think this summarises it well.

But for additional context,, the website wasn't made live all of sudden and we, being everyone, all piled in.

There was planning that went into it in the weeks/days leading up to the website going live. Those with Founding Member status were in discussion with Zeebot during that period, bouncing ideas off of one another to help with the development of the forum. Once it was made live, we set up our accounts and then flooded HC with links and 'advertisements' to get the 1000 eyes across, hence why your join date is the same as ours.

Cheers

Thank you for the civil response Sera.

 

[Reuben]

Hi Rob

https://thestockexchange.com.au/threads/milestone-achieved-1-000-registrations-in-just-over-4-days.156/

I think this summarises it well.

But for additional context,, the website wasn't made live all of sudden and we, being everyone, all piled in.

There was planning that went into it in the weeks/days leading up to the website going live. Those with Founding Member status were in discussion with Zeebot during that period, bouncing ideas off of one another to help with the development of the forum. Once it was made live, we set up our accounts and then flooded HC with links and 'advertisements' to get the 1000 eyes across, hence why your join date is the same as ours.

Cheers

And many of us are banned as wellfrom HC....

 

[misslou]

And many of us are banned as wellfrom HC....

I was banned within 20 minutes. Never been so proud

 

[IloveLamp]

Tata Consultancy Services - Research is proud to announce the 1st International Workshop on Sustainable AI for Edge (SAI4E) as part of AI-ML Systems Conference 2023. | Arijit Mukherjee

Tata Consultancy Services - Research is proud to announce the 1st International Workshop on Sustainable AI for Edge (SAI4E) as part of AI-ML Systems Conference 2023. Join us for a keynote talk by Ghanashyam (Shyam) Prabhakar (Renesas Electronics) discussing the importance of Explainable AI for...

www.linkedin.com

 

[Boab]

This is from 2022 but I don't recall seeing it.
I just needed something positive after the reversal today. We're still heading in the right direction.

 

[cosors]

Since not everyone reads the subthreads, here's a hint that Dr Naveed Sherwani former President and CEO of SiFive and of course familiar with Brainchip was appointed Non-Executive Director of MosChip in June.
https://thestockexchange.com.au/threads/brainchip-sifive.27097/post-379841

 

[IloveLamp]

Tata Consultancy Services - Research is proud to announce the 1st International Workshop on Sustainable AI for Edge (SAI4E) as part of AI-ML Systems Conference 2023. | Arijit Mukherjee

Tata Consultancy Services - Research is proud to announce the 1st International Workshop on Sustainable AI for Edge (SAI4E) as part of AI-ML Systems Conference 2023. Join us for a keynote talk by Ghanashyam (Shyam) Prabhakar (Renesas Electronics) discussing the importance of Explainable AI for...

www.linkedin.com

View attachment 46820

Arijit Mukherjee on LinkedIn: #sai4e #aimlsys2023 #tcsresearch #inventingforimpact #edgecomputing…

Not just keynotes; at the 1st International Workshop on Sustainable AI for Edge (SAI4E) organised by Tata Consultancy Services - Research as part of AI-ML…

www.linkedin.com

 

[IloveLamp]

https://www.cnn.com/2023/10/09/tech/south-korea-samsung-hynix-chips-waiver-hnk-intl/index.html

 

[Fullmoonfever]

Recent article in Science Direct.

Doesn't mention us but obviously related to neuromorphic cameras and pose estimation in gaming.

I recall Nviso were doing pose as well and probs emotion3D?

Anyway, I just found it interesting at the end where some of their financial support comes from, that they will look to test properly on Loihi 2 in the future (obvious research chip access) and where one of the co-authors works.

https://www.sciencedirect.com/science/article/pii/S0925231223005118

28 August 2023

Neuromorphic high-frequency 3D dancing pose estimation in dynamic environment​

Abstract​

Technology-mediated dance experiences, as a medium of entertainment, are a key element in both traditional and virtual reality-based gaming platforms. These platforms predominantly depend on unobtrusive and continuous human pose estimation as a means of capturing input. Current solutions primarily employ RGB or RGB-Depth cameras for dance gaming applications; however, the former is hindered by low-light conditions due to motion blur and reduced sensitivity, while the latter exhibits excessive power consumption, diminished frame rates, and restricted operational distance. Boasting ultra-low latency, energy efficiency, and a wide dynamic range, neuromorphic cameras present a viable solution to surmount these limitations. Here, we introduce YeLan, a neuromorphic camera-driven, three-dimensional, high-frequency human pose estimation (HPE) system capable of withstanding low-light environments and dynamic backgrounds. We have compiled the first-ever neuromorphic camera dance HPE dataset and devised a fully adaptable motion-to-event, physics-conscious simulator. YeLan surpasses baseline models under strenuous conditions and exhibits resilience against varying clothing types, background motion, viewing angles, occlusions, and lighting fluctuations.

9. Limitation and Future Works​

......Additionally, we aim to investigate energy-efficient implementations on neuromorphic computing platforms such as Intel Loihi 2.

Declaration of Competing Interest​

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Hava Siegelmann reports financial support was provided by Defense Advanced Research Projects Agency. Tauhidur Rahman reports financial support was provided by Defense Advanced Research Projects Agency. Tauhidur Rahman reports financial support was provided by National Science Foundation. Coauthor employed by Qualcomm Technologies, Inc. - Upal Mahbub..

 

[SharesForBrekky]

Zebra Technologies demonstrates generative AI on devices powered by Qualcomm

GenAI on Zebra devices could offer new levels of privacy, security, capability and cost savings for businesses.

www.edgecomputing-news.com

"Zebra Technologies Corporation, a digital solution provider enabling businesses to intelligently connect data, assets, and people has successfully demonstrated a Generative Artificial Intelligence (GenAI) large language model (LLM) running on Zebra handheld mobile computers and tablets without needing connectivity to the cloud."

 

[Quiltman]

As the SP manipulation continues this week ... I'm no trading expert, far from it in fact, but it looks to me that every trick in the book is being used to wrestle shares free and accumulate. I've taken heed, and used the low SP to accumulate.

I hold long on the relationship with Tata alone, but Renesas comes close behind.

Can I remind readers of this article from December 2022 ... and the content in this article is moving close to commercial reality.

Developing Neuromorphic Devices for TinyML

The article was written by Eldar Sido from Renesas

Eldar Sido works in the product marketing management team for the Arm-based MCU family at Renesas Electronics. He specializes in the technical aspect of endpoint AI implementation on microcontrollers. He received his master's degree in nanotechnology from the University of Tokyo.

An extract :

To summarize, the advantages of using neuromorphic devices and SNNs at the endpoint include:

• Ultra-low power consumption (millijoule to microjoule per inference)
• Lower MAC requirements as compared to conventional NNs
• Lower parameter memory usage as compared to conventional NNs
• On-edge learning capabilities

Neuromorphic TinyML Use Cases​

Microcontrollers with neuromorphic cores can excel in use cases throughout the industry (Fig. 3) thanks to their distinct characteristics of on-edge learning, such as:

• In anomaly-detection applications for existing industrial equipment, using the cloud to train a model is inefficient. Adding an endpoint AI device on the motor and training on the edge would allow for ease of scalability, as equipment aging tends to differ from machine to machine even if they’re the same model.
• In robotics, as time passes, the joints of robotic arms tend to wear down, becoming untuned and stop operating as needed. Re-tuning the controller on the edge without human intervention mitigates the need to call a professional, reducing downtime and saving time and money.
• In face-recognition applications, a user would have to add their face to the dataset and retrain the model on the cloud. With a few snaps of a person’s face, the neuromorphic device can identify the end-user via on-edge learning. Thus, users’ data can be secured on the device, and there’s a more seamless experience. This can be employed in cars, where different users have different preferences on seat position, climate control, etc.
• In keyword-spotting applications, extra words can be added to your device to recognize on the edge. It can be used in biometric applications, where a person would add a “secret word” that they would want to keep secure on the device.

The balance of ultra-low-power neuromorphic endpoint devices and enhanced performance makes them suitable for prolonged battery-powered applications, executing algorithms not possible on other low-power devices due to them being computationally constrained (Fig. 4). Or they can be applied to higher-end devices capable of similar processing power that’s too power-hungry. Use cases include:

• Smartwatches that monitor and process the data at the endpoint, sending only relevant information to the cloud.
• Smart camera sensors for people detection to execute a logical command. For instance, automated door opening when a person is approaching, as current technology is based on proximity sensors.
• Area with no connectivity or charging capabilities, such as in forests for smart animal tracking or monitoring under ocean pipes for any potential cracks using real-time vibration, vision, and sound data.
• For infrastructure monitoring use cases, where a neuromorphic MCU can be used to continuously monitor movements, vibrations, and structural changes in bridges (via images) to identify potential failures.

On this front, Renesas has acknowledged the vast potential of neuromorphic devices and SNNs. The company licensed a neuromorphic core from Brainchip,3,4 the world’s first commercial producer of neuromorphic IP.

 

[Pom down under]

Down like a lead balloon...Vlad.