MIT researchers have recently unveiled an innovative framework that organizes artificial intelligence (AI) algorithms in a ...

An Institute for the Advancement of Food & Nutrition Sciences’ working group held an April meeting to come to grips with what ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized ...

Seagrass meadows are critical marine ecosystems, acting as carbon sinks and providing habitats for diverse marine species.

Abstract: This review article provides a thorough assessment of modern and innovative algorithms for text classification through both observational and experimental evaluations. We propose a new ...

Department of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, Connecticut 06269, United States Center for Clean Energy Engineering, University of Connecticut, Storrs, ...

A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography Official repository for "Interpretable Machine Learning Approach for Breast Cancer Classification" - ...

Abstract: Cancer classification based on gene expression data is a critical challenge in modern bioinformatics, requiring efficient and accurate feature selection methods. This study explores the ...

Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India. This is a Liver Disease Machine Learning ...