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“We were impressed by the outcomes of the collaboration. Not just because it is the first approach that offers meaningful overall predictive power, but because its reliable uncertainty estimates give us the confidence to make critical project decisions based on computational methods.”
“The project has validated the use of the deep learning method for real–world steels applications and provided us with insights that can help us to improve steel properties and focus valuable experimental resources more efficiently.”
Citrine Informatics is the award-winning materials informatics platform for data-driven materials and chemicals development. It won the 2017 World Materials Forum Start-up Challenge, the 2018 AI Breakthrough award as the …
DataRobot captures the knowledge, experience, and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users to build …
Talend, a Qlik company, is a global leader in data integration and data management, is taking the work out of working with data. Organizations of all sizes in every industry …
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