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170919-F-NW499-001

Dr. Benji Maruyama, internationally acclaimed senior materials research engineer for the Air Force Research Laboratory, or AFRL, and Materials Research Society fellow, adjusts the ARES open-source software-enabled system in its early development stages in his lab in 2017. The autonomous research system, developed by Maruyama and his AFRL team, used artificial intelligence to design, execute and analyze experiments at a faster pace than traditional scientific research methods. Maruyama and his team rolled out ARES open-source software in 2021 to overwhelmingly positive acclaim. It is currently available to the public as a free internet download. Now, Maruyama is seeking community stakeholders who will partner with him and his team to help integrate ARES into local schools for free or at extremely low cost to inspire the next generation of scientists and researchers. (U.S. Air Force photo / David Dixon)
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210726-F-F3963-1001.JPG

The Air Force Research Laboratory’s Autonomous Research System (ARES) uses artificial intelligence and machine learning as part of a closed loop, automated scientific research process. The ARES platform is part of a next-generation research movement focused on human-machine partnering to create the next generation of materials for Air Force technology. (U.S. Air Force photo/David Dixon)
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