Military.com

Military Implications in the Age of AI

With the AI-integration in most sectors today, the military domain is no exception. We are living in another transformative ...
IEEE

Learning With Partial-Label and Unlabeled Data: Contrastive With Negative Example Separation

Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...
Chromatography Online

A Novel Machine Learning Method for Predicting Retention Time of Small Molecule Pharmaceutical Compounds Across Reversed-phase HPLC Columns

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Neel Somani on How Privacy-Preserving Machine Learning Is Changing the Digital Landscape

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
Open Access Government

Leveraging machine learning and robust small area estimation methods for stand-level forest inventory

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...
GitHub

quantum-machine-learning-examples

Add a description, image, and links to the quantum-machine-learning-examples topic page so that developers can more easily learn about it.
IEEE

Large-Scale Completion of Ionospheric TEC Maps Using Machine Learning Models With Constraints Conditions

Abstract: Total electron content (TEC) is a key ionospheric parameter, but data gaps, especially over oceans, remain challenging due to sparse receiver coverage. Deep learning offers promising ...