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If ARM was an arm, BRN would be its biceps💪!
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Check this out Brain Fam!

Background info to this is that BlackSignal opened for business in 2007 as Blue Ridge Envisioneering. In the below article Parsons CEO describes the rational for the aquisition of Blacksignal (AKA Blue Ridge Envisioneering).

It states "Carey Smith described BlackSignal as a company that uses artificial intelligence and machine learning tools to create new signal processing techniques that disrupt adversaries' systems."

Parsons expects BlackSignal to contribute $95 miilion in revenue in 2025.

Surely this has to bode well for us!


Parsons CEO lays out rationale for $200M BlackSignal buy​

Parsons CEO Carey Smith details what the company has found in its newest acquisition, BlackSignal Technologies.

Parsons CEO Carey Smith details what the company has found in its newest acquisition, BlackSignal Technologies. Courtesy of Parsons.
Sponsor Message



By Ross Wilkers,
Senior Staff Reporter
July 31, 2024

Investors always ask about revenue synergies and pathways for growth whenever a company makes an acquisition. They asked CEO Carey Smith what Parsons sees in this purchase and she gave her view.​





Parsons Corp. openly embraces the identity of being one of the government market's most serial acquirers, an approach that in recent times has stretched across its federal technology and critical infrastructure business units.
The newest purchase was announced Tuesday and is in category one. Parsons has agreed to acquire BlackSignal Technologies for $200 million in a move to bolster its offensive cyber and electronic warfare offerings.
During Parsons' third quarter earnings call with investors Wednesday, chief executive Carey Smith described BlackSignal as a company that uses artificial intelligence and machine learning tools to create new signal processing techniques that disrupt adversaries' systems.

For Wall Street analysts, the question they typically have when a company makes an acquisition centers around synergies the buyer wants to realize and the path for accelerated growth.
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Parsons to acquire biometric, counter-unmanned tech company
Such was the case during this call, where synergies with BlackSignal were a point of inquiry.
"In the offensive cyber side, they've played a lot more in research and development, we're strong in the operations, so it really strengthens our full-spectrum cyber operations capability," Smith said.


"In the electronic warfare space, we both play there. But we happen to look at different signals of interest, and both of us leverage our advanced digital signal processing capabilities, and then they provide new capabilities for us in the counterspace radio frequency domain area."
On the customer front, Smith pointed out that both companies have footprints across the intelligence community and Parsons has a significant one with the Army. She said BlackSignal will bring a greater presence with the Air Force, Navy and Defense Advanced Research Projects Agency.
Centreville, Virginia-headquartered Parsons expects the transaction to close in August and the BlackSignal business to contribute approximately 🤑🤑🤑$95 million in revenue for 2025. 🥳🥳🥳



BlackSignal opened for business in 2007 as Blue Ridge Envisioneering and its base of investors includes Razor's Edge Ventures, an investment firm focused on defense technology. The company started with the idea of creating and operating more agile communication signals and systems for distributing those signals.
Parsons was advised by Raymond James and BlackSignal was advised by Baird.
Fourth quarter revenue of $1.67 billion was 23% higher than the prior year period and the organic growth rate was 22%. Profit of $150 million represented a 27% year-over-year increase in adjusted EBITDA (earnings before interest, taxes, depreciation and amortization).
Both of those top and bottom line figures are records for Parsons since its 2019 initial public offering.
The company lifted its full-year financial outlook to a revenue range of $6.35 billion-to-$6.55 billion, while adjusted EBITDA expectations are also up to between $555 million and $595 million.

 
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Diogenese

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Well, ... yeeeeah, ... but, ... apart from the security community, ... what has Parsons ever done for us?
 
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Hi again @DingoBorat

Just had quick chart look on ph again after yesterday's bar.

As suggested there was a push down however, yesterdays action has created an inside bar.

This is a 2 bar pattern where the second bar sits inside of the proceeding bars high and low.

They are tricky as no clear definite indication of breakout as can be considered a reversal or continuation of prior trend. They do though show a pause and possibly shift in buy / sell momentum, particularly at a high or at a bottom.

The fact that we have had a longer term downtrend till more recently appearing to have moved more sideways / ranged (6 mth chart 1) suggests to me anyway, that we could be looking more reversal especially as this area can be shown, by looking at a longer term chart, as being a previous strong zone of support (1 yr chart 2).

Next week or two could be interesting. Just my thoughts.

View attachment 68499 View attachment 68500
Hey FMF, I did notice the bar within the bar and thought it might have some technical charting significance, but it also looks, to be entirely dependant on volume, in our case..

20240825_142629.jpg


If the volume drops off, the share price, is likely to "slowly" drop as well (as we've seen in the past).

It does definitely look like "something" has changed though.

There will come a Time, when there will be sustained high volume trading, with International demand pressures, should the Company's plans, show definite signs of bearing fruit.

Until that Time and without further Company technological achievements, or news, we are like a cork in the Ocean..
 
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Mt09

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Bravo

If ARM was an arm, BRN would be its biceps💪!
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Guzzi62

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Well, ... yeeeeah, ... but, ... apart from the security community, ... what has Parsons ever done for us?
It's would be really good if we could work with Parsons.

They do a lot of stuff where we will fit, quote:

We’re harnessing the potential of artificial intelligence (AI) to transform the way government and commercial industries operate and innovate. We’re leveraging AI to revolutionize the landscape, driving efficiency, and creating new possibilities for our customers.


About 19k employees
 
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I can't help but feel with the retirement of the founders and the exit of certain staff plus the constant suppression of the sp,......something big could be in the pipeline .

There is no doubt in my mind someone desperately wants the sp to stay low, and not only for accumulation.

Takeover is a possibility imo. Time will tell but it is all very odd, and i don't see the founders stepping back if success was not at hand.

Dyor, speculation only

If and when the time comes, personally i will not be deceived into accepting peanuts when we are worth diamonds.
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.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
It may be worth keeping an eye on DARPA's new AIR program.


Lockheed Martin Awarded Contract to Develop Artificial Intelligence Tools for DARPA
The new DARPA program will leverage AI/ML technology to support dynamic, airborne missions


LITTLETON, Colo., July 08, 2024
– Lockheed Martin (NYSE: LMT) has been awarded a $4.6 million contract by the Defense Advanced Research Projects Agency (DARPA) to develop Artificial Intelligence (AI) tools for dynamic, airborne missions as part of its Artificial Intelligence Reinforcements (AIR) program. This project aims to provide advanced Modeling and Simulation (M&S) approaches and dominant AI agents for live, multi-ship, beyond visual range (BVR) missions. It is a critical step in prioritizing and investing in breakthrough technologies for national security and to meet the evolving needs of customers.
DARPA’s AIR program will improve the government-provided baseline models’ speed and predictive performance to better match how the Department of Defense’s systems perform in the real world. During the 18-month period of performance, Lockheed Martin will apply AI and Machine Learning (ML) techniques to create surrogate models of aircraft, sensors, electronic warfare and weapons within dynamic and operationally representative environments.

“In complex airborne missions, our customers need access to advanced technologies that connect critical systems quickly across all domains. The DARPA AIR program will use state-of-the-art scientific ML technology and Lockheed Martin’s ARISE™ infrastructure to deliver unprecedented amounts of data that service members can use to make faster and more informed decisions,” said Gaylia Campbell, vice president of Engineering and Technology for Lockheed Martin Missiles and Fire Control. “This will provide significant cost savings opportunities for the Department of Defense and serve as a foundation for future AI defense solutions, ensuring the U.S. and its allies maintain their competitive advantage no matter the circumstances.”
Lockheed Martin has a long history of successfully developing and integrating AI and ML technologies into its products and services. This is part of our 21st Century Security® vision, which aims to build a more advanced, resilient and collaborative defense industry, so we can deliver more cutting-edge capabilities faster and more affordably to the United States and our allies.
About Lockheed Martin
Lockheed Martin is a global defense technology company driving innovation and advancing scientific discovery. Our all-domain mission solutions and 21st Century Security® vision accelerate the delivery of transformative technologies to ensure those we serve always stay ahead of ready. More information at Lockheedmartin.com.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
View attachment 68515

View attachment 68516




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.

 
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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.


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..
 
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Diogenese

Top 20
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.
 
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Diogenese

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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.

Hi Bravo,

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

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.


100(1).gif
 
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Tuliptrader

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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.

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.


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
 
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miaeffect

Oat latte lover
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Non BRN, Beemotion.ai (NVISO)

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.
 
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