Machine Learning (MLG)
Machine learning is a science (some call it art) of infering outcomes from data without performing any explicit computations. In the past few years, machine learning has given us energy demand response, self driving cars, practical speech recognition, fast and efficient web search, and a vastly improved understanding of the human genome. Our AI team develop and deploy a wide range of cutting edge of machine learning algorithms, with applications ranging from building level energy load forecasting to water leakage detection. Learn more »
Numerical Analysis (NAG)
Our Numerical Analysis Group focuses on computational approaches for multiphysics problems. More precesily, we focus on the formulation and implementation of new approaches that are more efficient and capable. Our emphasis is on the development of the next generation of simulation tools to aid engineers to make fast, informed decsions. Our application profile ranges from fast structural, computational fluid dynamic analysis to energy modelling of large eco districts. Learn more »