Lab that Learns
Leveraging AI foundation models and multi-cloud computing to usher in a new era of reproducible and collaborative experimentation for scientific discovery.
Leveraging AI foundation models and multi-cloud computing to usher in a new era of reproducible and collaborative experimentation for scientific discovery.
Learning complex patterns in knowledge graphs.
Multiple digital health-related applications for Alzheimer's disease using behavioral sensor data
Creating the AI-enabled lab for a new era of reproducible and collaborative experimentation
Mathematics and algorithms for identifying configurations of complex physical systems exhibiting unique, anomalous properties.
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.
Developing AI and analytics to understand the drivers of study or clinical trial efficiency.