Mark Andress, chief information officer at the National Geospatial-Intelligence Agency, said NGA is set to undergo several technology shifts in cloud, machine learning and cybersecurity in 2022 and one of the developments
MoreNaval Information Warfare Systems Command gathered partners to conduct 27 technology tests in this year’s iteration of an annual large-scale information warfare exercise, DVIDS Hub reported Tuesday. Trident Warrior 2021, the annual
MoreThe Defense Advanced Research Projects Agency’s (DARPA) Guaranteeing Artificial Intelligence Robustness to Deception (GARD) initiative has opened to public use a virtual testbed, toolbox, benchmarking dataset and training materials used for assessing
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The National Institute of Standards and Technology (NIST) is seeking public comments on a draft white paper detailing the use of combination frequency differencing in artificial intelligence and machine learning applications. The
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Brig. Gen. John Olson, a U.S. Space Force mobilization assistant, described artificial intelligence and machine learning as necessary tools for the military’s kill chain as part of the Joint All Domain Command
MoreBigBear.ai, a leading provider of artificial intelligence, machine learning, cloud-based big data analytics and cyber engineering solutions, announced on Wednesday that Samuel Gordy has been appointed the company’s new chief operating officer and
MoreThe Air Force Research Laboratory has awarded the University of Dayton Research Institute an $88 million contract for autonomous technology-focused research and development efforts. Under the Soaring Otter program, UDRI said Thursday
MoreKeith Alexander, a retired U.S. Army general and founder, chairman and co-CEO of IronNet Cybersecurity, said the concept of collective defense against cyberthreats involves the use of behavioral analytics to detect beaconing,
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Lt. Gen. Michael Groen, director of the Joint Artificial Intelligence Center (JAIC) and a 2021 Wash100 Award recipient, said JAIC is in a phase where it focuses on enabling AI capabilities and
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The Air Force Research Laboratory (AFRL) and its U.K.-based counterpart jointly created and tested machine learning algorithms designed to support both countries. AFRL’s Information Directorate in Rome, N.Y., virtually hosted the algorithms’
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