Shadow59
Regular
If all is irony, not using irony becomes irony!!
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Bravo
If ARM was an arm, BRN would be its biceps💪!
Knock Knock.
Who's there?
Irony.
Irony who?
Irony the BrainChip tablecloth because it's too wrinkly.
Slymeat
Move on, nothing to see.
And then there's ironing.If all is irony, not using irony becomes irony!!
uiux
Regular
No, no, no - not a pun - what's that thing that spells the same backwards as forward?
uiux
Regular
Fullmoonfever
Top 20
The other tenuous link between them all is that Valeo link back to Sensor Cortek who link back to Synopsys who also link to ARM as a partnership.Say WHAT?!!!!!!!!
Check out page 33 of Synopsis's "Corporate Overview for Investors May 22".
PS: Thank the gods I topped up on my dwindling supply of champers the other day!!!
B x
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BRN with Valeo and ARM already obviously and as @Bravo has now discovered...a possible link to Synopsys which could filter to Sensor Cortek and ultimately Valeo also so potential multiple paths.
Post in thread 'BRN Discussion 2022' https://thestockexchange.com.au/threads/brn-discussion-2022.1/post-85837
Arm | Synopsys Partnership
Joint solutions that enable customers to accelerate their software development, co-verification of hardware and software, and quality of Arm-based designs.
Sensor Cortek | Synopsys
Recent vid at Edge Ai and Vision Alliance from Sensor Cortek.
JK200SX
Regular
Bravo
If ARM was an arm, BRN would be its biceps💪!
This is pretty cool. Real-time radar-based action recognition utilizing SNN. A match made in heaven for Nintendo + BrainChip IMO.
patents.justia.com
US Patent Application for SYSTEM AND METHOD FOR REAL-TIME RADAR-BASED ACTION RECOGNITION USING SPIKING NEURAL NETWORK(SNN) Patent Application (Application #20210365778 issued November 25, 2021) - Justia Patents Search
This disclosure relates generally to action recognition and more particularly to system and method for real-time radar-based action recognition. The classical machine learning techniques used for learning and inferring human actions from radar images are compute intensive, and require volumes of...
patents.justia.com
I read "They're a weird mob" many years ago, it's a wonderful read. Not sure if I've read "Their a weird mob" though? "lowest common denominator"??? hmmm...... ouch. But you are correct, it is an Australian forum, a good way to learn through immersion.
I was just thinking out loud, trying to be inclusive I'll try to refrain from this in the future.
uiux
Regular
Alaskan buzzwhirler
The other tenuous link between them all is that Valeo link back to Sensor Cortek who link back to Synopsys who also link to ARM as a partnership.
BRN with Valeo and ARM already obviously and as @Bravo has now discovered...a possible link to Synopsys which could filter to Sensor Cortek and ultimately Valeo also so potential multiple paths.
Post in thread 'BRN Discussion 2022' https://thestockexchange.com.au/threads/brn-discussion-2022.1/post-85837
Arm | Synopsys Partnership
Joint solutions that enable customers to accelerate their software development, co-verification of hardware and software, and quality of Arm-based designs.www.synopsys.com
Sensor Cortek | Synopsys
www.synopsys.com
Recent vid at Edge Ai and Vision Alliance from Sensor Cortek.
Inside the software that will become the next battle front in US-China chip war
The US has moved to restrict export of EDA software. What is it, and how will the move affect China?
Synopsys Awarded DARPA Contract for Automatic Implementation of Secure Silicon Program
Synopsys, Inc. (Nasdaq: SNPS) today announced that the Defense Advanced Research Projects Agency (DARPA) has selected Synopsys as a prime contractor for the Automatic Implementation of Secure...
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When do we join the DARPA toolbox initiative?
Sorry I forgot to thank you for the lesson on irony.
uiux
Regular
$4.8 Million Biometrics Project To Use Human Breath, AI To Detect Fatigue
Texas A&M and Arizona State University researchers will develop artificial intelligence algorithms to predict fatigue states using human breath.
today.tamu.edu
Texas A&M and Arizona State University researchers will develop artificial intelligence algorithms to predict fatigue states using human breath.
The project aims to better understand sleep deprivation, mental and physical fatigue in humans by measuring breath volatile organic compounds (VOC) biomarkers and how they can affect performance, especially in high-stakes environments.
Understanding the breath VOCs will enable researchers to create a set of AI algorithms to detect a person’s fatigued state.
Fullmoonfever
Top 20
Something else to maybe keep tabs on developments is the latest award by the US Air Force.
We know the NASA Radneuro project is ongoing as per recent pressos posted.
We know KBR were seeking Radneuro engineers first half of this year with specific mention of Akida as well as Loihi and Google TPU so we can conclude KBR well versed in Akida.
Post in thread 'BRN Discussion 2022' https://thestockexchange.com.au/threads/brn-discussion-2022.1/post-51330
The new award is via a KBR JV with Xandar.
Whilst no specific mention of AI, neuromorphic etc I suspect there could be some crossover needs for same in the contract?
militaryembedded.com
HOUSTON, Texas. KBR has won a $4.8 billion contract through Xandar, a KBR joint venture, to support the National Air and Space Intelligence Center (NASIC) Scientific and Technical Information Analytic Capability Support (NOVASTAR) program, the company announced in a statement.
Under the contract, Xandar will provide NASIC with support for research, development, and sustainment of hardware, systems, and software to be used for scientific and technical intelligence production for the Air Force, the statement reads. The contract runs through 2033.
The purpose of the work is to "provide agile and innovative resource capabilities supporting technical analysis in the intelligence community, turning innovation into intelligence products, and constantly improving productivity in technical analysis product generation," the statement reads.
We know the NASA Radneuro project is ongoing as per recent pressos posted.
We know KBR were seeking Radneuro engineers first half of this year with specific mention of Akida as well as Loihi and Google TPU so we can conclude KBR well versed in Akida.
Post in thread 'BRN Discussion 2022' https://thestockexchange.com.au/threads/brn-discussion-2022.1/post-51330
The new award is via a KBR JV with Xandar.
Whilst no specific mention of AI, neuromorphic etc I suspect there could be some crossover needs for same in the contract?
$4.8 billion technical intelligence contract from U.S. Air Force won by KBR - Military Embedded Systems
HOUSTON, Texas. KBR has won a $4.8 billion contract through Xandar, a KBR joint venture, to support the National Air and Space Intelligence Center (NASIC) Scientific and Technical Information Analytic Capability Support (NOVASTAR) program, the company announced in a statement.
HOUSTON, Texas. KBR has won a $4.8 billion contract through Xandar, a KBR joint venture, to support the National Air and Space Intelligence Center (NASIC) Scientific and Technical Information Analytic Capability Support (NOVASTAR) program, the company announced in a statement.
Under the contract, Xandar will provide NASIC with support for research, development, and sustainment of hardware, systems, and software to be used for scientific and technical intelligence production for the Air Force, the statement reads. The contract runs through 2033.
The purpose of the work is to "provide agile and innovative resource capabilities supporting technical analysis in the intelligence community, turning innovation into intelligence products, and constantly improving productivity in technical analysis product generation," the statement reads.
Marathon runners could use that.$4.8 Million Biometrics Project To Use Human Breath, AI To Detect Fatigue
Texas A&M and Arizona State University researchers will develop artificial intelligence algorithms to predict fatigue states using human breath.
Texas A&M and Arizona State University researchers will develop artificial intelligence algorithms to predict fatigue states using human breath.
The project aims to better understand sleep deprivation, mental and physical fatigue in humans by measuring breath volatile organic compounds (VOC) biomarkers and how they can affect performance, especially in high-stakes environments.
Understanding the breath VOCs will enable researchers to create a set of AI algorithms to detect a person’s fatigued state.
uiux
Regular
Description: Develop advanced infrared device technologies that enable hardened space detector arrays with improved detection
to perform acquisition, tracking, and discrimination of space objects and missile warning.
FY 2022 Plans:
Continue design, development, and assessment of low-cost, high-volume infrared detectors and focal plane arrays for proliferated
space architecture layers. Continue development of focal plane array optical data outputs for higher speed and data throughput
and continue radiation tolerance characterization of photonic devices. Continue development of alternative infrared focal plane
array materials and device architectures. Complete development of resilient scanning and staring digital focal plane arrays.
Initiate development and assessment of event based sensing concepts and hardware. Initiate development of high dynamic
range, laser hardened 8192 x 8192 pixels, 10 micron pixel pitch focal plane arrays.
FY 2023 Plans:
Complete design, development, and assessment of low-cost, high-volume infrared detectors and focal plane arrays for proliferated
space architecture layers. Continue development of focal plane array optical data outputs for higher speed and data throughput
and continue radiation tolerance characterization of photonic devices. Continue development and refinement of alternative
infrared focal plane array materials and device architectures. Continue development and assessment of event based sensing
concepts and hardware and initiate partnerships with other Government agencies to explore potential transition paths. Continue
development of high dynamic range, laser hardened 8192 x 8192 pixels, 10 micron pixel pitch focal plane arrays to provide
resilience against emerging threat
Description: Develop technologies for space-based payload components such as radiation-hardened electronic devices,
microelectro-mechanical system devices, and advanced electronics packaging.
FY 2022 Plans:
Continue leadership role in Deputy Assistant Secretary of Defense Systems Engineering trusted and assured microelectronics
strategy efforts to develop trusted manufacturing techniques that reduce risk to National Security Space systems. Continue
adapting bench-marking capabilities on new electronics using the latest spacecraft algorithms and transitioning bench-marking
capabilities and results to the acquisition community to enable data-informed payload architecture design decisions. Complete
space qualification planning for next generation space processor. Complete development of alternative memory approaches.
Continue research and development of ultra-low power and neuromorphic/cortical processing architectures and advanced
transistor research to enable game-changing capabilities in future National Security Space systems. Initiate small satellite, high-
performance processing to enable on-orbit autonomy, data fusion, and machine learning.
FY 2023 Plans:
Continue leadership role in Deputy Assistant Secretary of Defense Systems Engineering trusted and assured microelectronics
strategy efforts to develop trusted manufacturing techniques that reduce risk to National Security Space systems. Continue
adapting bench-marking capabilities on new electronics using the latest spacecraft algorithms and transitioning bench-marking
capabilities and results to the acquisition community to enable data-informed payload architecture design decisions. Initiate
prototype memory manufacturing, testing and design improvements. Complete research and development of ultra-low power and
neuromorphic/cortical processing architectures and advanced transistor research to enable game-changing capabilities in future
National Security Space systems. Continue research and development of high-performance processing for small satellites to
enable revolutionary on-orbit edge processing, autonomy, data fusion, and machine learning.
---
I understand this to be an insane DVS and neuromorphic chip combo
Bravo
If ARM was an arm, BRN would be its biceps💪!
Cerence Will Embed Microsoft Groups in Automotive Voice Assistants - CXM Today
Automotive voice AI developer Cerence has inked a cope with Microsoft to include Microsoft Groups into its automobile voice assistant platform.
cxmtoday.com
Fullmoonfever
Top 20
Not sure if this one comes up under the FENCE program @uiux has been tracking?
Solicitation has closed so worth seeing where award goes maybe.
A couple of stipulations in the scope worth noting in particular Ph III.
TECH FOCUS AREAS: Microelectronics
TECHNOLOGY AREAS: Sensors
OBJECTIVE: This topic seeks to model, design, and produce an asynchronous, event-based infrared read out integrated circuit (ROIC) with low power, medium array format, and digital outputs compatible with neuromorphic algorithms.
PHASE I: Selected Phase I efforts will develop a model for an event based infrared ROIC and imager using provided detector models. The model will be delivered in the form of code (e.g., Matlab, Python) for verification and future validation.
PHASE II: Companies selected for Phase II will design and produce an asynchronous ROIC based on the models at the desired array size and pixel pitch. Efforts will demonstrate low power operation under static scenes, as well as high speed operation. Both hybridized focalplane arrays and unhybridized ROICs will be delivered for testing, with supporting hardware interface control documentation and control software.
PHASE III DUAL USE APPLICATIONS: Phase III efforts will demonstrate a fully packaged camera with a neuromorphic processing chip. Spiking neural network device technology is preferable. Efforts will leverage emerging event-based sensing algorithms to demonstrate.
Solicitation has closed so worth seeing where award goes maybe.
A couple of stipulations in the scope worth noting in particular Ph III.
Event-Based Infrared Read-Out Integrated Circuit for Neuromorphic Processing
TECH FOCUS AREAS: Microelectronics
TECHNOLOGY AREAS: Sensors
OBJECTIVE: This topic seeks to model, design, and produce an asynchronous, event-based infrared read out integrated circuit (ROIC) with low power, medium array format, and digital outputs compatible with neuromorphic algorithms.
PHASE I: Selected Phase I efforts will develop a model for an event based infrared ROIC and imager using provided detector models. The model will be delivered in the form of code (e.g., Matlab, Python) for verification and future validation.
PHASE II: Companies selected for Phase II will design and produce an asynchronous ROIC based on the models at the desired array size and pixel pitch. Efforts will demonstrate low power operation under static scenes, as well as high speed operation. Both hybridized focalplane arrays and unhybridized ROICs will be delivered for testing, with supporting hardware interface control documentation and control software.
PHASE III DUAL USE APPLICATIONS: Phase III efforts will demonstrate a fully packaged camera with a neuromorphic processing chip. Spiking neural network device technology is preferable. Efforts will leverage emerging event-based sensing algorithms to demonstrate.
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