Discovering physics extremes with computing
Mathematics and algorithms for identifying configurations of complex physical systems exhibiting unique, anomalous properties.
Mathematics and algorithms for identifying configurations of complex physical systems exhibiting unique, anomalous properties.
An automated explainable bioinformatics and AI workflow for multi-omic, climate and environmental data, applied to sustainability problems e.g., nature-based carbon capture.
An automated explainable bioinformatics and AI workflow for multi-omic, clinical and experimental data, applied to healthcare and drug discovery problems.
Leveraging our expertise in materials science, AI, quantum and high performance computing, we're developing a more powerful, sustainable, and energy-efficient battery.
An automated explainable bioinformatics and deep learning workflow to elucidate microbiome-metabolite relationships during a host-pathogen interaction.
Towards a composable, hybrid cloud data platform