An efficient toolkit for state-of-the-art models on multi lingual open domain question answering.
Projects
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.
Using fully homomorphic encryption for artificial intelligence
Helping researchers build and run virtual versions of real-world experiments in the cloud.
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.
Building reusable, composable, and shareable huntflows across different data sources and threat intel.
