Machine Learning

Leveraging Machine Learning for Decision Making in the Materials Sciences

Machine learning and Big Data analytics offer significant opportunities to improve R&D in the materials sciences, providing scientists with a new set of tools to analyze their data. These Machine learning and Big Data analytics offer significant opportunities to improve R&D in the materials sciences, providing scientists with a new set of tools to analyze their data. These approaches can help scientists do more with less, building a stronger, data-driven foundation for decision making and guiding future research.

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Robert Roe explores the role of maintenance in ensuring HPC systems run at optimal performance

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Robert Roe speaks with Dr Maria Girone, Chief Technology Officer at CERN openlab.

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Dr Keren Bergman, Professor of Electrical Engineering at the School of Engineering and Applied Science, Columbia University discusses her keynote on the development of silicon photonics for HPC ahead of her keynote presentation at ISC High Performance 2018 

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Sophia Ktori explores the use of informatics software in the first of two articles covering the use of laboratory informatics software in regulated industries

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Robert Roe discusses the role of the Pistoia Alliance in creating the lab of the future with Pistoia’s Nick Lynch