Tech Xplore

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
IEEE

A Semi-Supervised Self-Boosting Learning Method for InSAR Phase Denoising

Abstract: Interferogram denoising is critical in interferometric synthetic aperture radar (InSAR) data processing, directly impacting the accuracy and reliability of final products. Current ...
InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance ...
IEEE

Joint Augmentation and Part Learning for Unsupervised Clothing Change Person Re-Identification

Abstract: Clothing change person re-identification (CC-ReID) is a crucial task in intelligent surveillance, aiming to match images of the same person wearing different clothing. Promising performance ...
Asianet Newsable on MSN

Best AI and data science courses for workflow automation

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.