This project focuses on classifying waste into different categories using Machine Learning techniques. Proper waste classification is crucial for effective recycling and reducing environmental impact.

This project is a machine learning application built from scratch to classify images of cats and dogs using a Convolutional Neural Network (CNN) model. The dataset includes thousands of images, ...

This release provides the BREST-AI 16-bit, four-view model developed at the University of Warwick with NHS and academic collaborators. It estimates an examination-level three-year risk score from a ...

A cross-tissue machine learning framework utilizing Gene Ontology pathway-level DNA methylation scores accurately identified ...

An integrative machine learning analysis of public tissue transcriptomic datasets identified a candidate 30-microRNA ...

This study provides a valuable mapping of how genomic variation from a large collection of Klebsiella pneumoniae clinical isolates shapes bacterial fitness across 214 conditions. Solid data describe ...

This study provides a valuable resource describing the size, density, and synaptic proximity of mitochondria across thousands of neurons in the Drosophila brain, drawn from a well-annotated electron ...

AI is gradually becoming part of everyday healthcare, from identifying patients at risk of complications to helping doctors ...

Are EMA 50/200 Trend Predictions Accurate? I Counted the Hit Rate with an Automated Trading Bot and It Was 52% ■ ...

President and Chief Executive Officer - Stephen McMillan Need a quote from a Motley Fool analyst? Email pr@fool.com ...

Cancer-associated hematopoietic abnormalities contribute to systemic immunosuppression. However, whether tumors can initiate ...