Johns Hopkins Applied Physics Laboratory researchers designed a technology based on artificial intelligence and machine learning to help forecast the formation of sea ice in the Arctic regions. The AI/ML model shows
MoreThe Air Force Research Laboratory’s Catalyst Accelerator is inviting U.S.-based startup companies and small businesses to participate in its new accelerator program in the fall. The program announced Friday that it is
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The National Institute of Standards and Technology is seeking industry input on a program to advance artificial intelligence and machine learning techniques for the characterization and autonomous tuning of semiconductor quantum dot
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Pacific Northwest National Laboratory and its collaborators are exploring machine learning techniques to improve the detection of suspicious nuclear presence, PNNL Director Steven Ashby reported Monday. In an article published on the
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Kathleen Featheringham has joined Maximus as its new vice president of artificial intelligence and machine learning, bringing over two decades of experience in the public sector technology market to the company. In this
MoreThe National Science Foundation has extended its partnership with the Department of Energy’s Office of Science to increase collaboration on science, technology and engineering research. NSF said Wednesday it signed a memorandum
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A report on the 2021 Artificial Intelligence for Earth System Predictability workshop revealed that workforce development as well as cultural and programmatic changes are necessary in order to align AI missions across
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Max Peterson, vice president of Amazon Web Services’ worldwide public sector and a Wash100 Award winner, has listed his predictions for public sector technology trends in 2023. Following conversations with global customers utilizing
MoreThe U.S. Central Intelligence Agency has been at the forefront of global intelligence for the past 75 years; today, in order to stay ahead of evolving threats and maintain the United States’
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The National Science Foundation has teamed up with Amazon and selected several university-led projects on artificial intelligence and machine learning systems that will be awarded up to $9.5 million in financial support.
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