BRN Discussion Ongoing
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DingoBorat
Slim
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..
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
Regular
DingoBorat
Slim
Not doing the "monkey" thing and having a firm grip on another branch first, suggests he was pushed off the "Edge"? (excuse the pun..)
..
Bravo
If ARM was an arm, BRN would be its biceps💪!
RESEARCH ENGINEER - RESEARCH SCIENTIST - SR. RESEARCH ENGINEER - Neuromorphic, Cognitive, & AI Research & Development - Southwest Research Institute - San Antonio, TX
7-8-2024 - Who We Are: Join Our Team! The Tactical Aerospace team is a premier supplier for avionics and aerospace technology for new and legacy D...
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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.
Artificial Intelligence
We’re harnessing the potential of artificial intelligence (AI) to transform the way government and commercial industries operate.
About 19k employees
DingoBorat
Slim
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.
Quatrojos
Regular
Thanks Mt. I thought he worked at the institute in Perth.
Bravo
If ARM was an arm, BRN would be its biceps💪!
It may be worth keeping an eye on DARPA's new AIR program.
news.lockheedmartin.com
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.
Lockheed Martin Awarded Contract to Develop Artificial Intelligence Tools for DARPA
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...
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.
Bravo
If ARM was an arm, BRN would be its biceps💪!
View attachment 68515
View attachment 68516
RESEARCH ENGINEER - RESEARCH SCIENTIST - SR. RESEARCH ENGINEER - Neuromorphic, Cognitive, & AI Research & Development - Southwest Research Institute - San Antonio, TX
7-8-2024 - Who We Are: Join Our Team! The Tactical Aerospace team is a premier supplier for avionics and aerospace technology for new and legacy D...www.dice.com
In relation to the above...
SwRI awarded $6.4 million to advance cognitive electronic warfare
- Home
- Newsroom
- Press Releases
- SwRI awarded $6.4 million to advance cognitive electronic warfare
“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
SwRI engineers developing EW algorithm to ‘think like a human’
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DingoBorat
Slim
I think he'd be getting a big drop in pay, if he did..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
They look to be only getting started too, but looks promising..
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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Hi Bravo,In relation to the above...
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.
- Home
- Newsroom
- Press Releases
- SwRI awarded $6.4 million to advance cognitive electronic warfare
“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
SwRI engineers developing EW algorithm to ‘think like a human’www.swri.org
Hang on while I get the extinguisher - you're on fire!
DingoBorat
Slim
Not really a palatable market, but we are a violent Waring type race..In relation to the above...
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.
- Home
- Newsroom
- Press Releases
- SwRI awarded $6.4 million to advance cognitive electronic warfare
“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
SwRI engineers developing EW algorithm to ‘think like a human’
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
Top 20
Was he working in Australia then？
Tuliptrader
Regular
Apologies if already postedIn relation to the above...
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.
- Home
- Newsroom
- Press Releases
- SwRI awarded $6.4 million to advance cognitive electronic warfare
“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
SwRI engineers developing EW algorithm to ‘think like a human’
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
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...
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
Non BRN, Beemotion.ai (NVISO)
thesentiment-com-au.cdn.ampproject.org
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
Regular
All his research seems to have been done in Perth.
DingoBorat
Slim
Umm..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...
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.
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