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White Paper: Machine Learning for Physics and the Physics of Learning

Posted on 12/19/19 in Reports

This white paper is an outcome of IPAM’s fall 2019 long program, Machine Learning for Physics and the Physics of Learning. During the last couple of decades advances in artificial intelligence and machine learning (ML) have revolutionized many application areas such as image recognition and language […]

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White Paper: Geometry and Learning from Data in 3D and Beyond

Posted on 6/25/19 in Reports

This white paper is an outcome of IPAM’s spring 2019 long program, Geometry and Learning from Data in 3D and Beyond. As technology advances, there is an ever-increasing demand to acquire, analyze, and generate 3D data. These necessarily large data sets must be amenable to efficient […]

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White Paper: Science at Extreme Scales: Where Big Data Meets Large-Scale Computing

Posted on 1/9/19 in Reports

This white paper is an outcome of IPAM’s fall 2018 long program, Science at Extreme Scales: Where Big Data Meets Large-Scale Computing. Computing has revolutionized science: simulation, or model-based computing, has allowed us to investigate phenomena much more complex than theoretical analysis alone can access, […]

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White Paper: Quantitative Linear Algebra

Posted on 8/21/18 in Reports

The following white paper was written by the organizers of the IPAM long program on Quantitative Linear Algebra, held in the spring of 2018, with contributions from many of the program’s participants. The purpose of the program was to bring together topics from a number […]

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