Rskiff
Regular
Is this old
from May
Is this old
The CIA just does not want us to see it.![]()
Many thanks @Bravo let us hope it is not your last act of defiance against the state.This link should work.
This is about Raytheon Intelligence & Space on their Third Gen FLIR. Speaking of Raytheon, look what I stumbled across.
Raytheon to develop smart sensors, machine learning, and digital signal processing for military targeting
June 18, 2021
Raytheon will develop an event-based camera, digital signal processing, and machine learning for smart sensors in tactical military applications.
John Keller
https://www.militaryaerospace.com/print/content/14205416
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ARLINGTON, Va. – Sensors experts at Raytheon Technologies Corp. will develop a new kind of camera and digital signal processing to enable electro-optical smart sensors for tactical military applications.
Officials of the U.S. Defense Advanced Research Projects Agency (DARPA) in Arlington, Va., announced an $8.8 million contract Wednesday to the Raytheon Intelligence & Space segment in El Segundo, Calif., for the Fast Event-based Neuromorphic Camera and Electronics (FENCE) project.
FENCE seeks to develop and demonstrate a low-latency, low-power, event-based camera and a new class of digital signal processing and machine learning algorithms that use combined spatial and temporal information to enable intelligent sensors for tactical military applications.
Neuromorphic describes silicon circuits that mimic brain operation; it exhibits low latency, sparse output, and extreme energy efficiency. Neuromorphic cameras offer sparse output, and respond only to changes in the scene, with accompanying low latency and low power for small-format cameras in sparse scenes.
Related: Artificial intelligence and machine learning in signal processing become the intelligence analyst's friends
Event-based imaging sensors operate asynchronously, and only transmit data from pixels that have changed, so they produce 100 times less data in sparse scenes than traditional focal plane arrays (FPAs). This leads to 100x lower latency at 100x lower power.
Despite their inherent advantages, existing event-based cameras are not compatible with military applications because military images are cluttered and dynamic. The FENCE program seeks to develop an integrated event-based infrared focal plan array with embedded digital signal processing to overcome these challenges.
The FENCE program's primary focus is on developing an asynchronous read-out integrated circuit (ROIC) capable of very low latency and power operation, and a new, low-latency event-based infrared sensor with in-pixel processing.
The project also will develop a low-power processing layer that integrates with the ROIC to identify relevant spatial and temporal signals. The ROIC and the processing layer together will enable an integrated FENCE sensor that can operate on less power than 1.5 Watts.
Related: The coming revolution in sensor and signal processing
The FENCE program will last for four years, and DARPA researchers issued their broad agency announcement for the project last October. Raytheon may not be the only FENCE contractor, as DARPA officials say they plan to award contracts to several companies.
On this contract Raytheon will do the work in Goleta and El Segundo, Calif.; Cambridge and Tewksbury, Mass.; McKinney, Texas; Tempe, Ariz.; and New York City, and should be finished by May 2025.
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Raytheon to develop smart sensors, machine learning, and digital signal processing for military targeting
Raytheon will develop an event-based camera, digital signal processing, and machine learning for smart sensors in tactical military applications.www.militaryaerospace.com
Yes, war technology will get smaller and more accurate. It will pass human capabilities. Imagine sending off drones to target the origin of artillery fire as a defence mechanism. Imagine ai driven "Iron dome" defence capabilities for cities living under threat of bombardment. Imagine sensors able to detect explosive compounds communicating with drones in large crowds as a defence against terrorist acts.They should have named it Harpakazi.
This seems quite scary, but HOPEFULLY can serve as a major detractor from waging war completely.
I can foresee a defense system employing thousands of very small randomly swarming drones that loiter above radar units and act as mobile air mines for loitering HARPY drones.
Agreed. We are now in the second half of a year of which we were promised revenue and deals. I’m sure it’s happening, but we need to see some more customers to develop the SP.from May
Autonomous arms race is underway.
Fire and forget weaponry is being born... :/
"Only AI can keep up with AI against drone swams" DW news...
Just a reminder for those who work in politics and think a week is a long time:
“Laguna Hills, Calif. – June 19, 2022 – BrainChip Holdings Ltd(ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of neuromorphic AI IP, and Prophesee, the inventor of the world’s most advanced neuromorphic vision systems, today announced a technology partnership that delivers next-generation platforms for OEMs looking to integrate event-based vision systems with high levels of AI performance coupled with ultra-low power technologies.
Inspired by human vision, Prophesee’s technology uses a patented sensor design and AI algorithms that mimic the eye and brain to reveal what was invisible until now using standard frame-based technology. Prophesee’s computer vision systems open new potential in areas such as autonomous vehicles, industrial automation, IoT, security and surveillance, and AR/VR.
BrainChip’s first-to-market neuromorphic processor, Akida, mimics the human brain to analyze only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Keeping AI/ML local to the chip, independent of the cloud, also dramatically reduces latency.
“We’ve successfully ported the data from Prophesee’s neuromorphic-based camera sensor to process inference on Akida with impressive performance,” said Anil Mankar, Co-Founder and CDO of BrainChip. “This combination of intelligent vision sensors with Akida’s ability to process data with unparalleled efficiency, precision and economy of energy at the point of acquisition truly advances state-of-the-art AI enablement and offers manufacturers a ready-to-implement solution.”
“By combining our Metavision solution with Akida-based IP, we are better able to deliver a complete high-performance and ultra-low power solution to OEMs looking to leverage edge-based visual technologies as part of their product offerings,” said Luca Verre, CEO and co-founder of Prophesee.”
As an investor if I see a press release like the above every month I consider I am doing well and my investment is on track.
My opinion only DYOR
FF
AKIDA BALLISTA
I feel that BRN now need to throw a bone out to the world as we seem to be starting to scrape the barrel for info.
The German market still maintains its interest in Brainchip:
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BrainChip und Palantir mit starkem Rebound – Wie reagiert BioNTech?
Seit Monaten läuft die Korrektur an den Aktienmärkten. Hart getroffen wurden dabei vor allem Technologiewerte. Durch das Ende der ultralockeren Geldpolitik und möglichen größeren Zinsschritten verloren sogar Marktführer teilweise über 80% an Boden. Ob die Zinserhöhungen in den nächsten Monaten...www.kapitalerhoehungen.de
BRAINCHIP HOLDINGS - CLASSIC RESETTER OFFERS OPPORTUNITY
Unlike Netflix, Zoom or other sizes of the technology industry, the developer of the Akida chip, the Australian BrainChip Holdings, is robust. The price performance of the emerging IP company, which is the first commercial manufacturer of neuromorphic AI chips worldwide, has even been in the green area since the beginning of the year. After the start of the year at EUR 0.45, it went up to EUR 1.66 due to a report regarding a cooperation with the car giant Mercedes. It became known that Akida technology is intended to make "Hey, Mercedes" voice control in the EQXX five to ten times more efficient than conventional voice control. Since then, however, the stock has been corrected by almost 70% due to the weak market environment. However, soil formation is currently taking place in the range of EUR 0.60. In addition, MACD and RSI are on the verge of a buy signal.
In the long term, BrainChip's novel AI chip could become the new standard in the semiconductor market. The advantages are that Akida is extremely energy-efficient and high-performance and promotes the growth of edge AI technology by using a neuromorphic architecture, a kind of artificial intelligence inspired by the biology of the human brain. BrainChip enables the universal use of efficient edge computing in real applications such as connected cars, consumer electronics and the Internet of Things. It is not for nothing that BrainChip was included in the partner program of the chip giant ARM, which is intended to research the next generation of AI solutions.
Another partnership with the inventor of the world's most advanced neuromorphic image processing systems, Prophesee, is new. Prophesee's technology is inspired by human vision and uses a patented sensor design and AI algorithms that mimic the eye and brain to recognise what was previously invisible with standard image-based technology. Prophesee's computer vision systems target segments such as autonomous vehicles, industrial automation, IoT, security and surveillance, as well as augmented reality and virtual reality, similar to Akida.
We have successfully ported the data from Prophesee's neuromorphic camera sensor to process inferences on Akida with impressive performance, says Anil Mankar, co-founder and CDO of BrainChip. This combination of intelligent vision sensors with Akida's ability to process data with unprecedented efficiency, precision and energy savings at the capture point is a real advance in AI and offers manufacturers an immediately implementable solution.
Germany is worried that could happen so they are building up their defence force at a rapid pace.But if it's as good as they would have us believe, why hasn't it been taken over?