  Randomized algorithms have propelled advances in artificial intelligence and
represent a foundational research area in advancing AI for Science. Future
advancements in DOE Office of Science priority areas such as climate science,
astrophysics, fusion, advanced materials, combustion, and quantum computing all
require randomized algorithms for surmounting challenges of complexity,
robustness, and scalability. This report summarizes the outcomes of that
workshop, "Randomized Algorithms for Scientific Computing (RASC)," held
virtually across four days in December 2020 and January 2021.
