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The Air Force Research Laboratory, or AFRL, has selected a joint research team from Carnegie-Mellon University and the University of North Carolina as the Phase I winner of the AFRL headquarters-sponsored Grand Challenge, an opportunity for small businesses, startups and academic teams to propose potential solutions to meet wide-ranging U.S. Department of the Air Force warfighter needs. The winning team pitched a solution for a machine learning-artificial intelligence system that will support the optimization and discovery of synthetic compounds, manmade substances that are applicable to a wide range of defense sector needs. Machine learning, a subfield of artificial intelligence that gives computers the ability to learn from experience and operate without explicit programming or instructions, has significant future implications for a wide range of academic and industrial fields, including synthetic chemistry, digital manufacturing, robotics and fuel development. (U.S. Air Force graphic / Gregory Gerken)
| Date Taken: | 05.05.2023 |
| Date Posted: | 05.11.2023 10:23 |
| Photo ID: | 7789848 |
| VIRIN: | 230505-F-JC276-0041 |
| Resolution: | 1510x1024 |
| Size: | 273.97 KB |
| Location: | WRIGHT-PATTERSON AIR FORCE BASE, OHIO, US |
| Web Views: | 120 |
| Downloads: | 17 |
This work, AFRL teams with academia to win Phase I of AFRL Grand Challenge, by Gregory R Gerken, identified by DVIDS, must comply with the restrictions shown on https://www.dvidshub.net/about/copyright.
