A Scientific Reports study presents a causal-enhanced federated transfer learning framework that improved cross-domain ...
A causal and invariant-learning system reduced cross-domain dance quality-scoring error by 38.7% in a machine-learning study ...
Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...
All summer courses will take place in Boston, Massachusetts at the Harvard T.H. Chan School of Public Health from 9:30 AM to 4:30 PM (ET) each day. Each course will offer a limited number of online ...
Thank you for joining the 2026 Summer Courses! CAUSALab’s 2026 Summer Courses on Causal Inference ran June 8-18, 2026. Information regarding the 2027 courses will be available Fall 2026. CAUSALab’s ...