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July 24, 2019 | International, Land

Army’s Rapid Tech Office Set To Deliver Initial Hypersonics Capability In FY ’23, 50KW Laser Weapon In FY ’22

The Army's retooled rapid capabilities office has received approval to move ahead with its programs to deliver an initial combat capability for a hypersonic weapon in fiscal year 2023, with plans to announce a prototype award in August, and a Stryker-mounted...

https://www.defensedaily.com/armys-rapid-tech-office-set-deliver-initial-hypersonics-capability-fy23-50kw-laser-weapon-fy22/army/

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  • IARPA selects Raytheon for predictive analytics competition

    July 30, 2018 | International, C4ISR

    IARPA selects Raytheon for predictive analytics competition

    CAMBRIDGE, Mass., July 30, 2018 /PRNewswire/ -- The Intelligence Advanced Research Projects Activity awarded Raytheon BBN Technologies (NYSE: RTN) a $14.5 million contract to develop a system that improves the accuracy of predicting a range of geopolitical events – including elections, conflict, and disease outbreak. The contract was awarded last year under IARPA's Hybrid Forecasting Competition. "Event forecasters have struggled with the best way to combine the capabilities of human and machine analysts," said Lance Ramshaw, principal investigator and lead scientist at Raytheon BBN Technologies. "We're identifying the optimal combination to develop the best forecasting system possible." While human analysts are flexible and can apply context to their event forecasting models, machines can more quickly process massive amounts of data to make unbiased forecasts. Together, Raytheon BBN's hybrid forecasting system uses the benefits of both by providing: Automated aids that increase human forecasters' efficiency, including intelligent search, automatically computed indicators and alerts about changes or new information. Tools for sharing machine reasoning and results with human forecasters. Automatic combination of varied human forecasts, with more weight assigned to predictions from historically accurate forecasters. As prime contractor, Raytheon BBN leads a team that includes Lumenogic and Wright State Research Institute, who contribute to the technology research. Subject matter expertise related to elections and opinion, military events, science, disease outbreak, conflict and leadership and macro-economics are provided by the American Center for Democracy, Ipsos Public Affairs, Systems and Technology Research and Tufts University. About Raytheon Raytheon Company, with 2017 sales of $25 billion and 64,000 employees, is a technology and innovation leader specializing in defense, civil government and cybersecurity solutions. With a history of innovation spanning 96 years, Raytheon provides state-of-the-art electronics, mission systems integration, C5ITM products and services, sensing, effects, and mission support for customers in more than 80 countries. Raytheon is headquartered in Waltham, Mass.Follow us on Twitter. https://www.prnewswire.com/news-releases/iarpa-selects-raytheon-for-predictive-analytics-competition-300688409.html

  • With China looming, intelligence community backs AI research

    January 15, 2019 | International, C4ISR

    With China looming, intelligence community backs AI research

    By: Justin Lynch The U.S. government wants to boost its artificial intelligence capabilities or risks being left behind by the private sector and China. In the last two years, that's meant new AI initiatives from the Pentagon, the Defense Advanced Research Projects Agency and the intelligence community. Now, the Intelligence Advanced Research Projects Activity is requesting information about research efforts on “cutting-edge machine learning techniques.” IARPA posted the formal request for information Dec. 4. The deadline for industry to submit information is Jan. 17. “Of specific interest is the respondent's knowledge of, and experience implementing, current, cutting-edge machine learning techniques,” the intelligence community's research arm said. Respondents are required to have top secret clearances to work on the project, according to the IARPA listing. In addition to its deep learning program, IARPA leaders want information about research into “future computing systems” that can self-learn. Such a move could have implications for improving government cybersecurity. “The need for real-time (or near-real-time) analysis of massive amounts of heterogeneous data in this new era of explosive data growth has dramatically broadened the application space for advanced computers,” IARPA said. “The current volume and variety of data are already beginning to exceed the ability of today's most advanced classical systems to deliver optimal solutions.” Most cyber threat detection platforms use some form of artificial intelligence to create warning indicators, according to public and private sector officials. However, the U.S. government is behind the private sector when it comes to use of AI, said James Yeager, the public sector vice president at cybersecurity firm Crowdstrike. “There is, by design, a more staggered type of approach to some of these advances in technology in the public sector, and as a result, the government is going to be behind the private sector,” Yeager said. IARPA has a “very high-risk-but-high-reward approach to solving complex problems. They take a lot of time and take a lot of resources,” said Yeager. “But If they can come out of that research project with a silver bullet, it is going to benefit everyone.” Andrew Laskow, a senior manager at Blue Prism, which provides AI products to federal government and defense agencies, said that in the U.S. government many people are “looking to AI for problems that they cannot solve.” “There is still a misunderstanding at the highest levels of what AI can and cannot do,” Laskow said. Public and private sector officials warn that AI-backed threat network indicators can overload users and create too many warnings. Michael McGeehan, head of business development at Blue Prism, described intelligent automation being broken down into the “thinking side” and the “execution side.” The artificial intelligence platform is the “thinking side” that makes decisions and is analogous to the human brain. On the other hand, robotic processing automation is the “execution side” that carries out tasks, like an arm or a leg. https://www.fifthdomain.com/dod/2019/01/12/with-china-looming-intelligence-community-backs-ai-research

  • Contracts for September 21, 2021

    September 22, 2021 | International, Aerospace, Naval, Land, C4ISR, Security

    Contracts for September 21, 2021

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