Search Results for author: Keith Butler

Found 4 papers, 0 papers with code

Interpretable and Explainable Machine Learning for Materials Science and Chemistry

no code implementations1 Nov 2021 Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi, Keith Butler

While the uptake of data-driven approaches for materials science and chemistry is at an exciting, early stage, to realise the true potential of machine learning models for successful scientific discovery, they must have qualities beyond purely predictive power.

BIG-bench Machine Learning Interpretable Machine Learning

Semantic based model of Conceptual Work Products for formal verification of complex interactive systems

no code implementations4 Aug 2020 Mohcine Madkour, Keith Butler, Eric Mercer, Ali Bahrami, Cui Tao

As a first step, we illustrate how graphical class and state diagrams from UML can be developed and critiqued with subject matter experts to serve as specifications of the conceptual work product of case management.


Machine Learning and Big Scientific Data

no code implementations12 Oct 2019 Tony Hey, Keith Butler, Sam Jackson, Jeyarajan Thiyagalingam

After a brief review of some initial applications of machine learning at the Rutherford Appleton Laboratory, we focus on challenges and opportunities for AI in advancing materials science.

BIG-bench Machine Learning Object Recognition +1

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