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.
Projects
Labs
Popular topics
- Machine Learning
19 results for Machine Learning
AI for Scientific Discovery
Creating the AI-enabled lab for a new era of reproducible and collaborative experimentation
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.
Incremental Machine Learning for Extreme Scale Computing
AutoML for incremental machine learning algorithms for big time-series data.
Accelerating Clinical Trials
Developing AI and analytics to understand the drivers of study or clinical trial efficiency.
AI for Single-cell Research
Understanding spatiotemporal heterogeneity across different scales of biological organization.
Modeling the 4D Genome
Modeling the 4D genome with deep learning and stochastic simulations.
Fluorescence-based Digital Surgery Decision Support
Analyzing and visualizing differences in blood flow patterns, made visible with fluorescent dyes and multispectral imaging.
Extensions and NLU Applications of Logical Neural Networks
Using Logical Neural Networks to demonstrate the benefit of incorporating knowledge and reasoning into neural network learning
Modeling Spatial Heterogeneity of the Tumor Microenvironment
Combining spatial single-cell omics with AI to model the complexity of the tumor micorenvironment and enable novel spatial biomarker discovery.
