Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Large sparse linear systems arise in diverse fields such as structural engineering, fluid dynamics, network analysis and machine learning. Direct factorisation techniques often become impractical for ...

Machine learning methods hold the promise to reduce the costs and the failure rates of conventional drug discovery pipelines. This issue is especially pressing for neurodegenerative diseases, where ...

Design of Experiments (DOE) is a powerful and pragmatic tool for optimisation but it’s not the only way. Could there be even more powerful alternatives in the age of machine learning, AI and ...