Data analysis shows that the collision of NASA’s Double Asteroid Redirection Test spacecraft with its target asteroid moonlet Dimorphos changed the asteroid’s orbit. Dimorphos, which does not pose a threat to Earth,
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NASA’s Double Asteroid Redirection Test spacecraft hit its target asteroid moonlet Dimorphos on Monday as part of the world’s first test of a planetary defense technology. NASA said Tuesday the test sought
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Johns Hopkins University Applied Physics Laboratory has secured a $637.6 million contract modification from the Washington Headquarters Services to provide operational knowledge support to the Office of the Secretary of Defense. The
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Jane Pinelis, formerly head of test and evaluation at the Department of Defense’s Joint Artificial Intelligence Center, has elevated to the role of chief of AI assurance at JAIC. She will bring
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Johns Hopkins University Applied Physics Laboratory has received a $9.3 million sole-source contract to provide engineering, management, technical and operational support services to the Department of the Air Force’s Chief Architect Office.
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The Johns Hopkins University Applied Physics Laboratory (APL) has received a $50 million award from the U.S. Air Force that increases the value of its 2020 air warfare systems contract to nearly
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NASA launched its Double Asteroid Redirection Test on a SpaceX Falcon 9 rocket from Vandenberg Space Force Base in California on Wednesday to test technology for defending Earth against potential asteroid or
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NASA and Johns Hopkins Applied Physics Laboratory are in the final phases of building a spacecraft designed to demonstrate asteroid deflection for planetary defense. The space agency said Friday that its Double
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NASA has selected through the Payloads and Research Investigations on the Surface of the Moon (PRISM) call for proposals three payload suites to support scientific investigations on the lunar surface. David Blewett
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The Defense Advanced Research Projects Agency (DARPA) is halfway through the first phase of a program that conducts human-machine collaborative dogfighting to advance the development of a scalable, trusted artificial intelligence-driven autonomy
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