Argonne has received $3 million in funding to develop artificial intelligence and machine learning technology that has the potential to tackle some of the country’s biggest data challenges.
The U.S. Department of Energy’s (DOE) Argonne National Laboratory has received nearly $3 million in funding for two interdisciplinary projects that will further develop artificial intelligence (AI) and machine learning technology. The two grants were awarded by the DOE’s Office of Advanced Scientific Computing Research (ASCR). They will help Argonne researchers and collaborators pursue AI and machine learning work in the development of methods to tackle massive data sets or create better outcomes where little data is available.
One project is a collaboration with partners from the DOE’s Los Alamos National Laboratory, the Illinois Institute of Technology in Chicago and Johns Hopkins University. For this project, Argonne researchers will develop methods and techniques to work with very large dynamical systems. Combining mathematics and scientific principles, they will build robust and accurate surrogate models. These types of models can dramatically decrease the time and expense of running complex simulations, such as those used to predict the weather or climate.
Read more at DOE/Argonne National Laboratory
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