BRN Discussion Ongoing

[DingoBorat]

I wonder if he'll end up here?

Appears has been advising this NZ co whilst at BRN too and wondered the context of which product alignment....BRN & Scentian or just Scentians? Presuming just Scentians.

We know Anup was part of the olfactory side of Akida early on so makes sense he assisting Scentian. Not sure if they using neuromorphic or just was as a algo dev advisor.

Scentian Bio

A new way to sense the world. Beyond visual and acoustic information, the world is full of chemical information. Scentian Bio is developing real-time sensors unlock this hidden world of information.

www.scentianbio.com

View attachment 68506

I think he'd be getting a big drop in pay, if he did..

They look to be only getting started too, but looks promising..

 

[Diogenese]

One of my biggest concerns, is how anything like that proceeds, if it does.

The recent departure of our NZ? based patent attorney and the speculation by Frangipani, that this role could be being taken over, by a US entity, plays into Doz's TO speculation..

Long term shareholders, sometimes get a handful of pebbles, instead of magic beans, but I think we are protected from that, by Peter and Anil, being such large shareholders.

As you say, it probably has to do with the closure of the Brainchip Research Centre (BRC) in Perth. Whether he missed the cut or chose not to move to US is a matter of conjecture.

I missed the bit about the patent attorney, but Milind Joshi will be in high demand with attorney firms. He was based in Perth, and presumably worked closely with BRC.

 

[Diogenese]

In relation to the above...

SwRI awarded $6.4 million to advance cognitive electronic warfare​

1. Home
2. Newsroom
3. Press Releases
4. SwRI awarded $6.4 million to advance cognitive electronic warfare

April 2, 2024 — The United States Air Force is tapping into the extensive expertise of Southwest Research Institute’s Advanced Electronic Warfare team with a $6.4 million contract to explore cognitive electronic warfare (EW) algorithms, which accurately detect and respond to unknown enemy radar threats in real time. SwRI engineers are conducting research to develop a reliable algorithm that will advance the Air Force’s cognitive EW capabilities and protect aircrews.
“How do we get to the point where the EW system is thinking like a human?” said SwRI Staff Engineer David Brown, who is leading the project. “A pilot can fly into an area and not know what’s there, but by analyzing the environment and signals, the pilot can choose a proper response to a threat. We are developing an algorithm that can analyze its environment the same way. It will sift through information with the reliability of a human, but with higher accuracy and faster reaction times.”
Traditional electronic warfare processes involve gathering intelligence before flying into an area. Aircraft operators have advance knowledge of which adversaries they might encounter, and that information is preloaded into the aircraft’s electronic warfare system. The system alerts pilots when it detects threats and automatically protects the aircraft. While this method is effective at tracking known threat signals, the system is incapable of identifying never-before-seen threats. That’s where cognitive EW could prove a stronger, faster and more accurate tool to protect the warfighter and enhance capabilities with allies.
“In the past, we’ve relied on a library of signals that allows you to recognize and compare familiar signals. We’re asking, ‘does this match anything I already know about?’” said SwRI Research Engineer Damon Plyler, who is part of the development team. “That library is the limit of our information. Through cognitive EW and a machine learning approach, we can instantly identify new signals that are not already in the library.”
To develop this autonomous EW system, SwRI engineers are using a two-phased approach. The first phase, feature extraction, uses artificial intelligence and machine learning processes to extract specific features of threatening radar signals. Those data are used in the second phase to group millions of pulses, highlighting signal lethality and vulnerabilities.
SwRI engineers are implementing feature extraction algorithms on advanced platforms, including neuromorphic processing hardware. Neuromorphic computing systems use spiking neural networks to emulate how the human brain retains “memories,” making processing faster, more accurate and efficient.

“We are working to provide the Air Force with efficient and resilient cognitive EW solutions,” said SwRI’s Dr. Steven Harbour, who is applying his doctorate in neuroscience to lead the development of neuromorphic systems.

“We are implementing neuromorphics in hardware to be used for the first time in an operational combat environment. It puts us well ahead of our adversaries. To the best of our knowledge, we are the first in the world to do this.”
SwRI’s cognitive EW work began as a multiyear, multimillion-dollar internal research and development (IR&D) project. Through its IR&D program, the Institute invests in future-focused concepts to advance technology for government and industry clients. The contract between SwRI and USAF commenced on October 1, 2023, and will run through March 2025. Upon completion of the project, SwRI will present the Air Force with effective research toward advancing the field of cognitive EW.
SwRI develops advanced electronic warfare systems for air and ground applications. For more information, visit Advanced Electronic Warfare Solutions or contact Lisa Peña, +1 210 522 2046, Communications Department, Southwest Research Institute, 6220 Culebra Road, San Antonio, TX 78238-5166.

SwRI awarded $6.4 million to advance cognitive electronic warfare | Southwest Research Institute

SwRI engineers developing EW algorithm to ‘think like a human’

www.swri.org

Hi Bravo,

Hang on while I get the extinguisher - you're on fire!

 

[DingoBorat]

In relation to the above...

SwRI awarded $6.4 million to advance cognitive electronic warfare​

1. Home
2. Newsroom
3. Press Releases
4. SwRI awarded $6.4 million to advance cognitive electronic warfare

April 2, 2024 — The United States Air Force is tapping into the extensive expertise of Southwest Research Institute’s Advanced Electronic Warfare team with a $6.4 million contract to explore cognitive electronic warfare (EW) algorithms, which accurately detect and respond to unknown enemy radar threats in real time. SwRI engineers are conducting research to develop a reliable algorithm that will advance the Air Force’s cognitive EW capabilities and protect aircrews.
“How do we get to the point where the EW system is thinking like a human?” said SwRI Staff Engineer David Brown, who is leading the project. “A pilot can fly into an area and not know what’s there, but by analyzing the environment and signals, the pilot can choose a proper response to a threat. We are developing an algorithm that can analyze its environment the same way. It will sift through information with the reliability of a human, but with higher accuracy and faster reaction times.”
Traditional electronic warfare processes involve gathering intelligence before flying into an area. Aircraft operators have advance knowledge of which adversaries they might encounter, and that information is preloaded into the aircraft’s electronic warfare system. The system alerts pilots when it detects threats and automatically protects the aircraft. While this method is effective at tracking known threat signals, the system is incapable of identifying never-before-seen threats. That’s where cognitive EW could prove a stronger, faster and more accurate tool to protect the warfighter and enhance capabilities with allies.
“In the past, we’ve relied on a library of signals that allows you to recognize and compare familiar signals. We’re asking, ‘does this match anything I already know about?’” said SwRI Research Engineer Damon Plyler, who is part of the development team. “That library is the limit of our information. Through cognitive EW and a machine learning approach, we can instantly identify new signals that are not already in the library.”
To develop this autonomous EW system, SwRI engineers are using a two-phased approach. The first phase, feature extraction, uses artificial intelligence and machine learning processes to extract specific features of threatening radar signals. Those data are used in the second phase to group millions of pulses, highlighting signal lethality and vulnerabilities.
SwRI engineers are implementing feature extraction algorithms on advanced platforms, including neuromorphic processing hardware. Neuromorphic computing systems use spiking neural networks to emulate how the human brain retains “memories,” making processing faster, more accurate and efficient.

“We are working to provide the Air Force with efficient and resilient cognitive EW solutions,” said SwRI’s Dr. Steven Harbour, who is applying his doctorate in neuroscience to lead the development of neuromorphic systems.

“We are implementing neuromorphics in hardware to be used for the first time in an operational combat environment. It puts us well ahead of our adversaries. To the best of our knowledge, we are the first in the world to do this.”
SwRI’s cognitive EW work began as a multiyear, multimillion-dollar internal research and development (IR&D) project. Through its IR&D program, the Institute invests in future-focused concepts to advance technology for government and industry clients. The contract between SwRI and USAF commenced on October 1, 2023, and will run through March 2025. Upon completion of the project, SwRI will present the Air Force with effective research toward advancing the field of cognitive EW.
SwRI develops advanced electronic warfare systems for air and ground applications. For more information, visit Advanced Electronic Warfare Solutions or contact Lisa Peña, +1 210 522 2046, Communications Department, Southwest Research Institute, 6220 Culebra Road, San Antonio, TX 78238-5166.

SwRI awarded $6.4 million to advance cognitive electronic warfare | Southwest Research Institute

SwRI engineers developing EW algorithm to ‘think like a human’

www.swri.org

Not really a palatable market, but we are a violent Waring type race..

Neuromorphic Technology, is the only kind of A.I. that makes sense, when it comes to Warfare.

If the Western World doesn't pursue it, it will put them at a great disadvantage to China and the rest.

The militarisation of A.I. is the next obvious arms race, now that battlefield use of drones is commonplace and robots (as in the case of the robot dogs) is starting to increase.

 

[Pom down under]

Maybe he couldn't get a US work visa...

Was he working in Australia then？

 

[Tuliptrader]

In relation to the above...

SwRI awarded $6.4 million to advance cognitive electronic warfare​

1. Home
2. Newsroom
3. Press Releases
4. SwRI awarded $6.4 million to advance cognitive electronic warfare

April 2, 2024 — The United States Air Force is tapping into the extensive expertise of Southwest Research Institute’s Advanced Electronic Warfare team with a $6.4 million contract to explore cognitive electronic warfare (EW) algorithms, which accurately detect and respond to unknown enemy radar threats in real time. SwRI engineers are conducting research to develop a reliable algorithm that will advance the Air Force’s cognitive EW capabilities and protect aircrews.
“How do we get to the point where the EW system is thinking like a human?” said SwRI Staff Engineer David Brown, who is leading the project. “A pilot can fly into an area and not know what’s there, but by analyzing the environment and signals, the pilot can choose a proper response to a threat. We are developing an algorithm that can analyze its environment the same way. It will sift through information with the reliability of a human, but with higher accuracy and faster reaction times.”
Traditional electronic warfare processes involve gathering intelligence before flying into an area. Aircraft operators have advance knowledge of which adversaries they might encounter, and that information is preloaded into the aircraft’s electronic warfare system. The system alerts pilots when it detects threats and automatically protects the aircraft. While this method is effective at tracking known threat signals, the system is incapable of identifying never-before-seen threats. That’s where cognitive EW could prove a stronger, faster and more accurate tool to protect the warfighter and enhance capabilities with allies.
“In the past, we’ve relied on a library of signals that allows you to recognize and compare familiar signals. We’re asking, ‘does this match anything I already know about?’” said SwRI Research Engineer Damon Plyler, who is part of the development team. “That library is the limit of our information. Through cognitive EW and a machine learning approach, we can instantly identify new signals that are not already in the library.”
To develop this autonomous EW system, SwRI engineers are using a two-phased approach. The first phase, feature extraction, uses artificial intelligence and machine learning processes to extract specific features of threatening radar signals. Those data are used in the second phase to group millions of pulses, highlighting signal lethality and vulnerabilities.
SwRI engineers are implementing feature extraction algorithms on advanced platforms, including neuromorphic processing hardware. Neuromorphic computing systems use spiking neural networks to emulate how the human brain retains “memories,” making processing faster, more accurate and efficient.

“We are working to provide the Air Force with efficient and resilient cognitive EW solutions,” said SwRI’s Dr. Steven Harbour, who is applying his doctorate in neuroscience to lead the development of neuromorphic systems.

“We are implementing neuromorphics in hardware to be used for the first time in an operational combat environment. It puts us well ahead of our adversaries. To the best of our knowledge, we are the first in the world to do this.”
SwRI’s cognitive EW work began as a multiyear, multimillion-dollar internal research and development (IR&D) project. Through its IR&D program, the Institute invests in future-focused concepts to advance technology for government and industry clients. The contract between SwRI and USAF commenced on October 1, 2023, and will run through March 2025. Upon completion of the project, SwRI will present the Air Force with effective research toward advancing the field of cognitive EW.
SwRI develops advanced electronic warfare systems for air and ground applications. For more information, visit Advanced Electronic Warfare Solutions or contact Lisa Peña, +1 210 522 2046, Communications Department, Southwest Research Institute, 6220 Culebra Road, San Antonio, TX 78238-5166.

SwRI awarded $6.4 million to advance cognitive electronic warfare | Southwest Research Institute

SwRI engineers developing EW algorithm to ‘think like a human’

www.swri.org

Apologies if already posted

SwRi are very bullish on Neuromorphic systems. As this podcast from 2023 shows.

Listen now as SwRI Engineer and Neuroscientist Dr. Steven Harbour, neuromorphic engineering expert, explains how the technology works, why the brain is a superior computing model and what the future holds for neuromorphic developments.

Neuromorphic Engineering | Southwest Research Institute

It’s a new year of listening and learning. We’re launching 2023 with the fascinating, emerging field of neuromorphic engineering, the development of biologically inspired technology that emulates the human brain. Neuromorphic systems use spiking neural networks to retain “memories,” like the...

www.swri.org

There's a transcript of the podcast provided too.

Just a snip from the interview, below...

"SH: Absolutely, absolutely. So as you know, in SwRI, we're using this currently in aerospace for defense in Division 16. Neuromorphic systems, again, provide low SWaP. And so, again, we've talked about the inference time being much quicker and the accuracy being much better, and 10, 20, 30 times less power than other processors. So they're perfect for air transportation and defense, but also for health wearables, so wearable devices, watches that can sense the various health of a person, and other type devices that can be worn.

And this can be done on the edge per se and I'll describe what that is. So currently, I've just started research with Prativa Hartnett and Division 10 on neuromorphics involving wearable devices, you know, being able to process it on the spot, faster, without having to go to the cloud to process the information. That's another thing that neuromorphics does for you. Also, space science, avionics for long-endurance probe, and onboard processing, neuromorphics is the place to go to ensure that happens."


TT

 

[miaeffect]

Non BRN, Beemotion.ai (NVISO)

Cycliq teams up with BeEmotion to integrate vehicle detection technology into bike cameras - The Sentiment

Cycliq (ASX: CYQ) has entered into a 10-year licence agreement with BeEmotion, formerly NVISO Group, to integrate AI technology into its Fly cameras and edge devices. Cycliq is an Australian company that manufactures innovative cycling safety products, including the Fly6 and Fly12 cameras, with...

thesentiment-com-au.cdn.ampproject.org

 

[Quatrojos]

Was he working in Australia then？

https://ieeexplore.ieee.org/author/37086845803

All his research seems to have been done in Perth.

 

[DingoBorat]

Non BRN, Beemotion.ai (NVISO)

Cycliq teams up with BeEmotion to integrate vehicle detection technology into bike cameras - The Sentiment

Cycliq (ASX: CYQ) has entered into a 10-year licence agreement with BeEmotion, formerly NVISO Group, to integrate AI technology into its Fly cameras and edge devices. Cycliq is an Australian company that manufactures innovative cycling safety products, including the Fly6 and Fly12 cameras, with...

thesentiment-com-au.cdn.ampproject.org

Umm..
This looks like good news to me..

It is BeEmotion, landing a contract with a technology use case, not them partnering, with a technology provider..

Or are you just saying, not direct BRN news?..

BeEmotion, get a fair bit of their "mojo" from us.

 

[miaeffect]

Umm..
This looks like good news to me..

It is BeEmotion, landing a contract with a technology use case, not them partnering, with a technology provider..

Or are you just saying, not direct BRN news?..

BeEmotion, get a fair but of their "mojo" from us.

Oops

Just like POM, I haven't read yet..

 

[DingoBorat]

Non BRN, Beemotion.ai (NVISO)

Cycliq teams up with BeEmotion to integrate vehicle detection technology into bike cameras - The Sentiment

Cycliq (ASX: CYQ) has entered into a 10-year licence agreement with BeEmotion, formerly NVISO Group, to integrate AI technology into its Fly cameras and edge devices. Cycliq is an Australian company that manufactures innovative cycling safety products, including the Fly6 and Fly12 cameras, with...

thesentiment-com-au.cdn.ampproject.org

"The integration of BeEmotion’s AI technology will be applied to both new and existing Cycliq products, including improvements in real-time vehicle detection, object recognition, and edge-computation capabilities(hey that's us!? ) This strategic move is expected to advance Cycliq’s technology and provide enhanced safety features for cyclists"

Looks like it's early days though..

 

[manny100]

It is a great sign that the founders still hold.
Its just as good a sign that Louis DiNardo still hold 4,921,536 shares.
Now that is a real show of faith in the future of BRN - an ex CEO still hold circa 5 mill shares. That is a wow.
The downrampers do not like it over on the crapper that Loius still holds. They refuse to believe it.
From Simply Wall Strxxt:

0.25%	Louis DiNardo	4,921,536	AU$961.3k	-16.9%	no data

https://www.listcorp.com/asx/brn/brainchip-holdings/news/top-50-holders-report-3024366.html

Google above for further confirmation that he still holds 4,921,536 shares.

 

[Diogenese]

It is a great sign that the founders still hold.
Its just as good a sign that Louis DiNardo still hold 4,921,536 shares.
Now that is a real show of faith in the future of BRN - an ex CEO still hold circa 5 mill shares. That is a wow.
The downrampers do not like it over on the crapper that Loius still holds. They refuse to believe it.
From Simply Wall Strxxt:

0.25%	Louis DiNardo	4,921,536	AU$961.3k	-16.9%	no data

https://www.listcorp.com/asx/brn/brainchip-holdings/news/top-50-holders-report-3024366.html

Google above for further confirmation that he still holds 4,921,536 shares.

I think LdN is much maligned. After all, who did the spade work with German car companies and many other enduring EAPs such as Valeo ("lidar is a good fit") among many others? The amount of travelling he did can be very wearing. It was like selling freon to the eskimos before refrigerators were invented. And, of course, the naysayers vilified him for the travel expenses.

Just the premature hockey stick business, but that showed his genuine excitement and enthusiasm.

 

[manny100]

I think LdN is much maligned. After all, who did the spade work with German car companies and many other enduring EAPs such as Valeo ("lidar is a good fit") among many others? The amount of travelling he did can be very wearing. It was like selling freon to the eskimos before refrigerators were invented.

Just the premature hockey stick business, but that showed his genuine excitement and enthusiasm.

Agree, no doubt he still knows what is going on.
He would have contacts for sure and he knows what he built and he understands the future of AI at the Edge.
I think LDN still holding is a very underrated bullish sign.

 

[DingoBorat]

Non BRN, Beemotion.ai (NVISO)

Cycliq teams up with BeEmotion to integrate vehicle detection technology into bike cameras - The Sentiment

Cycliq (ASX: CYQ) has entered into a 10-year licence agreement with BeEmotion, formerly NVISO Group, to integrate AI technology into its Fly cameras and edge devices. Cycliq is an Australian company that manufactures innovative cycling safety products, including the Fly6 and Fly12 cameras, with...

thesentiment-com-au.cdn.ampproject.org

Maybe one to watch, possibly being an indirect customer of ours and obviously, currently, very undervalued..

"For the quarter ended 30 June 2024, CYQ reported $1.4 million in cash receipts, representing a 46% increase over the March quarter. This resulted in a $316k positive operating cash flow, reducing the 12-month YTD operating cash outflow to $292k. As of 30 June 2024, the Company had $1.2 million of cash on hand" (4C shows less..).

About to get diluted by about 25% and there are some legal proceedings going on..

But 1 million market capitalisation, when a 1.4 million quarter, that was cash flow positive and around 1 million in cash (after the raise) makes this company, severely under the radaŕ..

 

[CHIPS]

It is a great sign that the founders still hold.
Its just as good a sign that Louis DiNardo still hold 4,921,536 shares.
Now that is a real show of faith in the future of BRN - an ex CEO still hold circa 5 mill shares. That is a wow.
The downrampers do not like it over on the crapper that Loius still holds. They refuse to believe it.
From Simply Wall Strxxt:

0.25%	Louis DiNardo	4,921,536	AU$961.3k	-16.9%	no data

https://www.listcorp.com/asx/brn/brainchip-holdings/news/top-50-holders-report-3024366.html

Google above for further confirmation that he still holds 4,921,536 shares.

Did you notice that BNP Paribas is holding more stocks than Peter von der Made when you add up their various positions?

 

[Esq.111]

Chippers ,

Hopefully get a little present like this shortly..

x.com

x.com

Esq.

 

[CHIPS]

"The integration of BeEmotion’s AI technology will be applied to both new and existing Cycliq products, including improvements in real-time vehicle detection, object recognition, and edge-computation capabilities(hey that's us!? ) This strategic move is expected to advance Cycliq’s technology and provide enhanced safety features for cyclists"

Looks like it's early days though..

It is a 10-year license agreement!

 

[DingoBorat]

Did you notice that BNP Paribas is holding more stocks than Peter von der Made when you add up their various positions?

I'm not sure why that's surprising..

Peter and his Family, will always be the largest "personal" holders, in my opinion.

Wealth, Is obviously not a driving factor and he has already demonstrated philanthropic tendencies, completely unheard of (as far as I'm aware) from the Founder of a Company, that wasn't even profitable yet..

Something the absolute pricks at SimplyWallSt, promoted as a negative with "Company director selling shares"..

I wouldn't be surprised, if he set up some kind of Foundation, for the benefit of humanity, with his portfolio as backing, some Time in the Future.

 

[Fullmoonfever]

This site just popped up in a search, dated 13 Aug. Another avenue to mkt I guess with trial IPs as well.

Note diff target applications for Gen 1 & 2.

All Semiconductor IP - Silicon Hub

Discover a comprehensive catalog of semiconductor IPs on Silicon Hub, connecting vendors with the latest innovations in design, IP cores, and solutions for efficient product development.

www.siliconhub.co

Silicon Hub

Find Your Perfect IP​

Supercharge your design process. Get instant access to trial IP from trusted vendors.
89
IPs available

Akida 2nd Generation​

From BrainChip
Download Trial IP Get Datasheet
Description
BrainChip's Akida 2nd Generation is an enhanced version of their pioneering neuromorphic technology, designed to support a wider range of complex network models through advanced event-based processing. This iteration adds significant features such as 8-bit support for weights and activations, improving both energy efficiency and computational accuracy.
The 2nd Generation builds upon the foundational Akida technology by expanding its capabilities for more sophisticated applications without increasing the need for cloud reliance. It is set to bring remarkable improvements in the deployment of intelligent applications across a variety of edge devices, supporting crucial functionalities like vision transformers and temporal event-based neural networks (TENNs).
This platform is versatile and scalable, enabling processing across 1 to 128 nodes. Its design prioritizes privacy and security by ensuring that sensitive data remains on-device. Its unique advantage lies in reducing model storage requirements and offers increased operational efficiency, catering to the diverse needs of industries like automotive, healthcare, and industrial IoT.
Features

• Event-based processing
• Vision transformers
• 8-bit quantization

Tech Specs

Category	Processor > CPU
Foundry	TSMC
Availability	All Countries & Regions

Applications

• Automotive
• Healthcare
• Industrial IoT

Akida Neural Processor IP​

From BrainChip
Download Trial IP Get Datasheet
Description
The Akida neural processor IP is a groundbreaking solution, touted as BrainChip's first-to-market digital neuromorphic processor. It emulates the human brain, processing only essential sensor inputs at the point of acquisition. This technology remarkably reduces latency, boosts precision, and significantly lowers power consumption compared to traditional methods.
One of the IP's most compelling features is its ability to keep AI/ML tasks local, eliminating the need for cloud dependency while enhancing data security and privacy. Designed for both inference and on-chip learning at the edge, Akida offers a fully customizable event-based AI neural processor. Its scalable architecture supports up to 256 nodes connected via a mesh network, and each node comprises four Neural Network Layer Engines with configurable SRAM. This allows the processor to adjust dynamically for either convolutional or fully connected operations.
Moreover, the processor is event-driven, meaning it utilizes data sparsity in activations and weights, drastically cutting down operations. This nature allows for efficient processing across various applications without the energy demands of a typical neural network accelerator, making it an optimal choice for high-speed, low-power computing needs.
Features

• Neuromorphic processing
• Event-based AI

Tech Specs

Category	Processor > CPU
Foundry	TSMC
Process Node	28nm
Availability	All Countries & Regions

Applications

• Edge AI
• On-device learning
• Sensor data processing