The Defense Advanced Research Projects Agency (DARPA) announced its launch of the Air Combat Evolution (ACE) Program on May 8 to adopt artificial intelligence (AI) in air-to-air dogfighting combat. […]

With the increasing democratization of technology, Deputy Director of CIA Science and Technology Dawn Meyerriecks said that intelligence integration and freeing up intellectual property (IP) are of mounting importance to innovating solutions that bolster national security.






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elections, voting, election security, midterms

The Pentagon’s top research arm is working to build a hack-proof voting machine by combining something brand new with something old – specifically, secure open-source hardware and software using advanced cryptography on one end, and good old paper on the other.






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Vector Launch, Virgin Orbit, and VOX Space are the Defense Advanced Research Project Agency’s (DARPA) qualifying competitors for the Launch Challenge, which aims to enable the military to launch on-demand small payloads into space. DARPA awarded $400,000 to each competitor that completed the qualification phase, and now the competitors will attempt to launch to low-Earth […] […]

The Defense Advanced Research Projects Agency (DARPA) will host its second annual Electronics Resurgence Initiative (ERI) summit in Detroit, July 15–17. ERI – a five-year, upwards of $1.5 billion investment to develop a specialized, secure, and automated electronics industry – has created collaborations among the defense industrial base, private electronics sectors, and academic researchers. DARPA […] […]

Artificial intelligence (AI), following on the heels of its older sibling RPA (robotic process automation), is no longer waiting to be born, but remains more of a toddler on the Federal IT scene–still learning to walk before trying to run, but bulking up from an appetite for serious Federal government tech interest and investment.






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Machine learning AI-min

The Department of Defense’s many artificial intelligence programs–currently over 600 and counting–generally share one stated goal: the blend of humans and machines working as a team, in which AI systems become “partners in problem-solving,” as opposed to our new overlords. Whether in jobs such as cybersecurity, analyzing reams of data, images, and video, operating swarms of drones, or disaster assistance, the idea is to have AI and machine learning systems that augment and improve what personnel can do.






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AI Cyber World machine learning-min
Machine learning AI-min

From a cybersecurity perspective, the strengths of artificial intelligence (AI) and machine learning (ML) are also weaknesses. The capacity to crunch massive amounts of data, identify patterns, and learn while working covers a lot of territory, but also leaves room for vulnerabilities, which Pentagon and Intelligence Community (IC) researchers want to close up. And the job doesn’t look easy.






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The Department of Defense (DoD) has put a lot of emphasis on speeding up the acquisition and development of new technologies out of a need to keep pace with new advances and potential adversaries. But a new report from the Government Accountability Office (GAO)–evaluating the Army Futures Command modernization effort–throws in a word of caution, saying there is such a thing as going too fast.






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The Defense Advanced Research Projects Agency (DARPA) Information Innovation Office will host a Proposers Day on Feb. 6 to provide information on a future Broad Agency Announcement about Guaranteeing AI Robustness against Deception (GARD) program.






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The military has long had the goal of giving troops on the ground a clear operational picture. That can include the location of enemy troops, their own troops, the location of buildings or fortifications, the movement of ground vehicles or aircraft, and a lot of other variables. It’s what the Army, for instance, has been working toward with programs to develop an integrated tactical network.






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Military AI

The Pentagon’s plan to use machine intelligence to better manage the finite and increasingly crowded electromagnetic spectrum took a small leap forward last month, as the Defense Advanced Research Projects Agency (DARPA) hosted Phase 2 of its Spectrum Collaboration Challenge (SC2).






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Natural disaster flood min
Space NASA Satellites
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