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Argonne researchers to share scientific computing insights at SC19

The Supercomputing 2019 (SC19) conference, scheduled for November 17–22 in Denver, will bring together the global high-performance computing (HPC) community, including researchers from the U.S. Department of Energy’s (DOE) Argonne National Laboratory, to share scientific computing advances and insights with an eye toward the upcoming exascale era.

Published
Nov 15, 2019

Automating the development of deep-learning-based predictive models for cancer research

While increasing swaths of collected data and growing scales of computing power are helping to improve our understanding of cancer, further development of data-driven methods for the disease’s diagnosis, detection and prognosis is necessary. There is a particular need to develop deep-learning methods — that is, machine learning algorithms capable of extracting science from unstructured data.

Published
Nov 15, 2019