The world's first dataset aimed at improving the quality of English-to-Malayalam machine translation—a long-overlooked ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests.

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

This article appears in the December 2025 issue of The American Prospect magazine. Subscribe here. Earlier this year, a slightly balding man in spectacles, a black T-shirt, and bright high-top ...

A Reinforcement Machine Learning Minesweeper Algorithm written in Java. It learns Minesweeper by failing repeatedly and learning from its mistakes. It scans a Minesweeper board for subsets of numbers, ...

Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...

Abstract: In cases of satellite signal interference or even satellite denial, to improve the positioning accuracy of navigation systems, a Sparrow Search Algorithm (SSA) is used to optimize the ...