Source: Christine Harbine, U.S. Department of Energy, August 19, 2019.
Supercomputing is now entering an era of rapid change, with advances in fields such as Artificial Intelligence (AI) reshaping what’s possible. To stay on the cutting edge, DOE is tackling fresh challenges that will inspire new thinking and drive innovation in critical areas such as cancer research. Projects like CANcer Distributed Learning Environment (CANDLE) enable DOE to develop new supercomputing capabilities that will, in turn, help scientists address challenges in national security and science.
DOE’s Deputy Under Secretary for A.I. and Technology, Dimitri Kusnezov, has a new blog post up: “A Sneak Peek of Tomorrow’s A.I. Technologies.”
This week, DOE announced $27.6 million in funding over the next three years for targeted research in data science to accelerate discovery in chemistry and material sciences. The 19 awards will advance the application of modern data science techniques such as A.I. and machine learning to develop new materials and chemical processes.