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.
Exploring the power of BMFM technologies to drive critical tasks in drug discovery
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.
We're developing technological solutions to assist subject matter experts with their scientific workflows by enabling the Human-AI co-creation process.