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.
Active Feature Acquisition
Learning complex patterns in knowledge graphs.
Behavioral Analysis for Alzheimer's Disease
Multiple digital health-related applications for Alzheimer's disease using behavioral sensor data
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.
PrimeQA
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.
Biomedical Foundation Models
Exploring the power of BMFM technologies to drive critical tasks in drug discovery
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