Mathematics and algorithms for identifying configurations of complex physical systems exhibiting unique, anomalous properties.
Revolutionizing datacenter infrastructure towards unprecedented flexibility and low environmental impact.
Designing the next generation High-Speed I/O Links targeting low power consumption, low latency and small silicon area.
An efficient toolkit for state-of-the-art models on multi lingual open domain question answering.
An automated explainable bioinformatics and AI workflow for multi-omic, climate and environmental data, applied to sustainability problems e.g., nature-based carbon capture.
AutoML for incremental machine learning algorithms for big time-series data.