Lockheed Martin UK looking to invest in new space-based manufacturing facility

On the same subject

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  March 29, 2019 | International, Other Defence

  DARPA: Designing Chips for Real Time Machine Learning

  The current generation of machine learning (ML) systems would not have been possible without significant computing advances made over the past few decades. The development of the graphics-processing unit (GPU) was critical to the advancement of ML as it provided new levels of compute power needed for ML systems to process and train on large data sets. As the field of artificial intelligence looks towards advancing beyond today's ML capabilities, pushing into the realms of “learning” in real-time, new levels of computing are required. Highly specialized Application-Specific Integrated Circuits (ASICs) show promise in meeting the physical size, weight, and power (SWaP) requirements of advanced ML applications, such as autonomous systems and 5G. However, the high cost of design and implementation has made the development of ML-specific ASICs impractical for all but the highest volume applications. “A critical challenge in computing is the creation of processors that can proactively interpret and learn from data in real-time, apply previous knowledge to solve unfamiliar problems, and operate with the energy efficiency of the human brain,” said Andreas Olofsson, a program manager in DARPA's Microsystems Technology Office (MTO). “Competing challenges of low-SWaP, low-latency, and adaptability require the development of novel algorithms and circuits specifically for real-time machine learning. What's needed is the rapid development of energy efficient hardware and ML architectures that can learn from a continuous stream of new data in real time.” DARPA's Real Time Machine Learning (RTML) program seeks to reduce the design costs associated with developing ASICs tailored for emerging ML applications by developing a means of automatically generating novel chip designs based on ML frameworks. The goal of the RTML program is to create a compiler – or software platform – that can ingest ML frameworks like TensorFlow and Pytorch and, based on the objectives of the specific ML algorithms or systems, generate hardware design configurations and standard Verilog code optimized for the specific need. Throughout the lifetime of the program, RTML will explore the compiler's capabilities across two critical, high-bandwidth application areas: 5G networks and image processing. “Machine learning experts are proficient in developing algorithms but have little to no knowledge of chip design. Conversely, chip designers are not equipped with the expertise needed to inform the design of ML-specific ASICs. RTML seeks to merge these unique areas of expertise, making the process of designing ultra-specialized ASICs more efficient and cost-effective,” said Olofsson. Based on the application space's anticipated agility and efficiency, the RTML compiler provides an ideal platform for prototyping and testing fundamental ML research ideas that require novel chip designs. As such, DARPA plans to collaborate with the National Science Foundation (NSF) on this effort. NSF is pursuing its own Real Time Machine Learning program focused on developing novel ML paradigms and architectures that can support real-time inference and rapid learning. After the first phase of the DARPA RTML program, the agency plans to make its compiler available to NSF researchers to provide a platform for evaluating their proposed ML algorithms and architectures. During the second phase of the program, DARPA researchers will have an opportunity to evaluate the compiler's performance and capabilities using the results generated by NSF. The overall expectation of the DARPA-NSF partnership is to lay the foundation for next-generation co-design of RTML algorithms and hardware. “We are excited to work with DARPA to fund research teams to address the emerging challenges for real-time learning, prediction, and automated decision-making,” said Jim Kurose, NSF's head for Computer and Information Science and Engineering. “This collaboration is in alignment with the American AI Initiative and is critically important to maintaining American leadership in technology and innovation. It will contribute to advances for sustainable energy and water systems, healthcare logistics and delivery, and advanced manufacturing.” RTML is part of the second phase of DARPA's Electronics Resurgence Initiative (ERI) – a five-year, upwards of $1.5 billion investment in the future of domestic, U.S. government, and defense electronics systems. As a part of ERI Phase II, DARPA is supporting domestic manufacturing options and enabling the development of differentiated capabilities for diverse needs. RTML is helping to fulfill this mission by creating a means of expeditiously and cost-effectively generating novel chip designs to support emerging ML applications. Interested proposers will have an opportunity to learn more about the RTML program during a Proposers Day, which will be held at 675 North Randolph Street, Arlington, VA 22203 on Tuesday April 2, 2019 from 09:00 am – 03:00 pm EDT. Additional information about the event and registration are found here: https://www.fbo.gov/index?s=opportunity&mode=form&id=29e4d24ce31d2bf276a2162fae3d11cd&tab=core&_cview=0 Additional details on the RTML program are in the Broad Agency Announcement, published to fbo.gov: https://www.fbo.gov/index.php?s=opportunity&mode=form&id=a32e37cfad63edcba7cfd5d997422d93&tab=core&_cview=0 https://www.darpa.mil/news-events/2019-03-21

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  September 13, 2021 | International, Land

  Israeli, British firms to deliver unmanned vehicles for UK experimental program

  The British government's Future Capability Group wants to identify future military requirements of unmanned ground vehicles through a series of trials.

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  August 18, 2020 | International, Aerospace, Naval, Land, C4ISR, Security

  Number of Foreign Companies Within Defense Supply Chain Grew Over Past Decade, Report Says

  Reliance on foreign suppliers in the defense industrial base rose—notably in packaged software and IT services—even as calls for reshoring increase, according to a new report. Reshoring the defense supply chain may reduce national security risks, but a new report detailing a heavy dependency on goods and services from foreign countries like China shows reshoring may be easier said than done. Researchers at Govini, a decision science company supporting the defense industry, analyzed data from over 1,000 Defense Department vendors across 100 industries to show how supply chain reliance on products from foreign countries has increased over the past decade. According to the survey, the number of Chinese suppliers in DOD's base increased by a total of 420% since 2010. For cyber and information technology, two statistics stick out. The share of companies based in foreign nations in the supply chain grew the most in the packaged software and IT services between 2010 and 2019. Companies based in foreign countries made up 3% of the packaged software supplier base in 2010. That number rose to 7% in 2019. The numbers are similar for IT services: Companies based in foreign countries made up 3% of the IT services supplier base in 2010 and 7% in 2019. Tara Murphy Dougherty, CEO of Govini, told Nextgov increasing adoption of IT infrastructure is critical for the Defense Department, particularly as COVID-19 forced the agency's workforce into mass telework. But that means it is imperative DOD addresses supply chain concerns for information and communications technology. Murphy Dougherty said these two investment areas are only going to continue to grow, which means the department needs to act to clearly define its stance on IT supply chain security. “What are you doing, other than responding to some of the legislation that we've seen come out of the Hill mandating investigation of this?” she said. “It would be great to see more options.” A key mandate from Congress related to supply chain was supposed to take effect on an interim basis Thursday. Section 889 (a)(1)(b) of the 2019 National Defense Authorization Act bans agencies from contracting with companies that do business with five Chinese firms, including Huawei and ZTE. But according to a Defense News report, the Pentagon received a temporary waiver from the Director of National Intelligence pushing back the compliance date until September 30. Defense Undersecretary for Acquisitions and Sustainment Ellen Lord said at a Professional Services Council webinar Thursday she needs feedback from industry on what's working and what's not when it comes to implementing the rule. “I know we're all aligned in that we do not want adversaries in our supply chain. We don't want further theft of intellectual property. We don't want these nefarious actions going on,” Lord said. “But how do we get the language into the contracts, how do we practice the behaviors of ensuring we understand what we have in our supply chains for telecommunications equipment? What we need to do is continue to hear from you.” It's not yet clear how the brief deadline extension will affect the implementation process. Regardless, visibility down the supply chain remains a key concern. Murphy Dougherty said there needs to be more transparency in supply chains if the industry is going to address security risks. The Govini report focuses on firms in the mid-tier of the supply chain, with less visibility than a large company like Boeing. For companies further down the supply chain, U.S.-based companies make up less than half of the supplier base, according to the report. Chinese companies make up anywhere from 5% to 9% of the supplier base in the middle to lower ranges of the supply chain. Murphy Dougherty said it's going to take time to see changes in the data. How to address the industrial base at a structural level remains an unanswered question, she said, and collaboration between DOD and industry will be critical in coming up with a new system to ensure supply chain security. “It begs the question of do we have the right models in place today and the right framework for the department to get all of the goodness and partnership it possibly can out of the American commercial economy,” Murphy Dougherty said. https://www.defenseone.com/threats/2020/08/number-foreign-companies-within-defense-supply-chain-grew-over-past-decade-report-says/167767/