AI for scientific discovery
Creating the AI-enabled lab for a new era of reproducible and collaborative experimentation
Discovering physics extremes with computing
Mathematics and algorithms for identifying configurations of complex physical systems exhibiting unique, anomalous properties.
Composable Disaggregated Infrastructure
Revolutionizing datacenter infrastructure towards unprecedented flexibility and low environmental impact.
An efficient toolkit for state-of-the-art models on multi lingual open domain question answering.
Auto-omics for climate and sustainability
An automated explainable bioinformatics and AI workflow for multi-omic, climate and environmental data, applied to sustainability problems e.g., nature-based carbon capture.
Incremental machine learning for extreme scale computing
AutoML for incremental machine learning algorithms for big time-series data.