The $25 million contract will provide a system that supports the military’s complex weather prediction workloads.

On the same subject

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  September 29, 2022 | International, Land

  Rafael acquires Newcastle based Pearson Engineering as part of its strategic expansion in the United Kingdom

  The acquisition includes PER's subsidiary company Responsive Engineering Ltd.

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  October 3, 2018 | International, C4ISR

  DARPA Selects Teams to Explore Underground Domain in Subterranean Challenge

  Self-funded teams also invited to compete; media teleconference with program manager Sept. 27 OUTREACH@DARPA.MIL The world beneath us leaves much to be discovered. These uncharted environments pose immense challenges to military and emergency personnel as they respond to threats from adversaries or natural disasters. DARPA has selected nine teams to compete in the Subterranean (SubT) Challenge – seven in the physical Systems track and two in the Virtual track – to develop new approaches to rapidly map, navigate, and search underground environments. The competition seeks to better equip warfighters and first responders to explore human-made tunnel systems, urban underground, and natural cave networks that are too dangerous, dark, or deep to risk human lives. SubT program manager, Timothy Chung, will be available for media Q&A at noon EDT, Sept. 27. Interested reporters must contact outreach@darpa.mil for teleconference details. The SubT Challenge physical Systems and software-focused Virtual competitions aim to create a community of multi-disciplinary teams from distinct fields to foster breakthrough technologies in autonomy, perception, networking, and mobility for underground environments. Teams in the Systems competition will develop and demonstrate physical systems in real-world environments. DARPA has selected seven teams to compete in the funded track of the Systems competition: Carnegie Mellon University Commonwealth Scientific and Industrial Research Organisation, Australia iRobot Defense Holdings, Inc. dba Endeavor Robotics Jet Propulsion Laboratory, California Institute of Technology University of Colorado, Boulder University of Nevada, Reno University of Pennsylvania Teams in the Virtual competition will use simulation models and physics-based environments focusing on software-driven advances. The following organizations have received a contract to compete in the DARPA-funded track of the Virtual competition: Michigan Technological University Scientific Systems Company, Inc. Teams participating in the challenge will be tasked with designing and developing novel solutions that address the challenges of subterranean environments in circuits for each of the subdomains to include tunnel systems, urban underground, and natural cave networks, culminating with a final event encompassing elements from all three environments. DARPA also is seeking self-funded competitors for both the Systems and Virtual competitions. Self-funded teams will compete for prizes in each of the subdomain circuits. DARPA-funded and self-funded teams will vie for a $2 million prize in the Systems track, while the winner of the Virtual track will earn a $750,000 prize. Competitors Day will take place Thursday, Sept. 27, to convey the vision, schedule, registration information, and additional details for the DARPA Subterranean (SubT) Challenge, engage potential entrants, and provide a forum for technical exchange and teaming opportunities. For additional information on the DARPA Subterranean Challenge, please visit www.subtchallenge.com. Please email questions to SubTChallenge@darpa.mil. Image Caption: The DARPA Subterranean Challenge explores innovative approaches and new technologies to rapidly map, navigate, and search complex underground environments. Click below for high-resolution image. # # # Media with inquiries should contact DARPA Public Affairs at outreach@darpa.mil Associated images posted on www.darpa.mil and video posted at www.youtube.com/darpatv may be reused according to the terms of the DARPA User Agreement, available here: http://go.usa.gov/cuTXR. https://www.darpa.mil/news-events/2018-09-26

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  February 3, 2021 | International, C4ISR

  With Deepwave Digital, Northrop Grumman is pushing processing to the edge

  Nathan Strout WASHINGTON — Northrop Grumman says a new investment into small startup Deepwave Digital will allow it to push data processing much closer to the point of collection, decreasing the amount of data that needs to be transported and getting products to war fighters faster. Northrop Grumman will install Deepwave Digital's artificial intelligence solution on airborne and on orbit payloads, said Chris Daughters, the company's vice president of research, technology and engineering for aeronautics systems. With the AI incorporated into the payload, the satellite or aircraft will no longer need to send data back to the ground to be processed. Instead, the payload will process the data itself. The innovation, said Daughters, is in incorporating the AI software with the hardware used in various Northrop Grumman payloads. “Deepwave Digital really has an innovative architecture that blends artificial intelligence with some advanced hardware in the RF [radio frequency] domain, whereas a lot of artificial intelligence in the past has always been focused on, I'll just say, mining and scrubbing really big data or maybe doing customized things with video or audio,” said Daughters. In other words, the AI is able to process data at the edge, at the point of collection, instead of sending it down to Earth to be processed independently. “We have a lot of RF payload systems that collect information or collect intelligence for the war fighters and the government as a whole, and by embedding this innovative hardware and AI software, we are able to essentially filter and optimize and scrub and prioritize the data much nearer to the point of collection for that information,” said Daughters. AI has been key to the military's efforts to manage the torrent of data collected by government and commercial satellites, which is simply too much for human analysts to sort through on their own. While progress has been made in using AI to process satellite imagery, military officials are now tackling a related problem: the sheer amount of raw data being pushed out over the networks for processing at remote locations. To reduce the bandwidth needed for satellite imagery, U.S. Army officials say the military needs to shift to edge processing, meaning applying AI to the data and then sending the finished product out over the network instead of all of the raw data. “Edge processing is something that we're very interested in for a number of reasons. And what I mean by that is having smart sensors that can not only detect the enemy, [but] identify, characterize and locate, and do all those tasks at the sensor processing,” said John Strycula, director of the Army's task force focused on intelligence, surveillance and reconnaissance, at an October AUSA event. “If I only have to send back a simple message from the sensor that says the target is here ― here's the location and here's what I saw and here's my percent confidence ― versus sending back the whole image across the network, it reduces those bandwidth requirements,” he added. Daughters said Northrop Grumman is working to incorporate Deepwave Digital's AI solution into products in development or in limited production in the “very near term.” “The capability exists now. We just need to integrate it in with the systems,” said Daughters. “Our research and technology organization is already looking at how we could be injecting this hardware and AI capability in some of the systems that exist right now or very near term.” While the company is applying the AI to both space and airborne systems, the technology can be more easily integrated with airborne systems, where payloads can be more easily accessed or swapped out. https://www.c4isrnet.com/intel-geoint/2021/02/02/with-deepwave-digital-northrop-grumman-is-pushing-processing-to-the-edge/