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Behind Every Great Deep Learning Framework Is An Even Greater Scientific computing is increasingly incorporating the advancements in machine learning and the ability to work with large ... In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. Deep learning has led to encouraging successes in many challenging tasks. However, a deep neural model lacks interpretability ... Today we're joined by Patrick Heimbach, a professor at the University of Texas working at the intersection of ML and ... Talk from HSF/IRIS-HEP Analysis Ecosystem 2 Workshop (

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Last Updated: June 9, 2026

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