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Data Science Program at Argonne Looks to Machine Learning for New Breakthroughs

Over at Argonne, Nils Heinonen writes that four new projects for the ALCF Data Science Program that will utilize machine learning, deep learning, and other artificial intelligence methods to enable data-driven discoveries across scientific disciplines. “Each project intends to implement novel machine learning techniques; some will integrate these methods with simulations and experiments, while others will pioneer uncertainty quantification and visualization to aid in the interpretation of deep neural networks.”

Argonne Seeking Proposals to Advance Big Data in Science

The Argonne Leadership Computing Facility Data Science Program (ADSP) is now accepting proposals for projects hoping to gain insight into very large datasets produced by experimental, simulation, or observational methods. The larger the data, in fact, the better. Applications are due by June 15, 2017.

Call for Proposals: ALCF Data Science Program

The 2016 ALCF Data Science Program (ADSP) at Argonne has issued its Call for Proposals. The new initiative is targeted at “big data” science problems that require the scale and performance of leadership resources. “Our goal is to help explore and improve a variety of computational methods that will help enable data-driven discoveries across all scientific disciplines,” said ALCF Director of Science Katherine Riley.