Learning
HtFLlib: A Unified Benchmarking Library for Evaluating Heterogeneous Federated Learning Methods Across Modalities
AI institutions develop heterogeneous models for specific tasks but face data scarcity challenges during training. Traditional Federated Learning (FL) supports...
Learning vision-based agile flight via differentiable physics
Schedl, D. C., Kurmi, I. & Bimber, O. An autonomous drone for search and rescue in forests using airborne optical...
Machine learning method improves accuracy of inverse protein folding for drug design
Mask-prior-guided denoising diffusion (MapDiff) for inverse protein folding. Credit: Nature Machine Intelligence (2025). DOI: 10.1038/s42256-025-01042-6 An AI approach developed by...
Combining technology, education, and human connection to improve online learning | MIT News
MIT Morningside Academy for Design (MAD) Fellow Caitlin Morris is an architect, artist, researcher, and educator who has studied psychology and used...
A scoping review of self-supervised representation learning for clinical decision making using EHR categorical data
This section provides a comprehensive overview of the findings from our scoping review, organized around subsections that emerged during our...
