In a blog post shared Wednesday, Mira Murati's startup offered a rare glimpse into some of work its doing to improve AI ...

This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to ...

Abstract: The prediction and modeling of ionospheric total electron content (TEC) have consistently been a focal point for researchers, as it holds significant implications for satellite positioning, ...

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...

Petawawa town council was presented with an exciting new opportunity when Kristen Niemi, director of education for the Renfrew County District School Board (RCDSB), visited to speak about a plan to ...

Abstract: Presents corrections to the paper, (Corrections to “A Novel Approach Based on Machine Learning, Blockchain and Decision Process for Securing Smart Grid”).

SMU Office of Research Governance & Administration – Aircraft surface inspections are a critical and mandatory component of airworthiness that uses visual and digital checks to spot minute damage, ...

Learn how to organize and structure your machine learning projects for real-world deployment. From directory layout to model versioning, data pipelines, and CI/CD integration — this guide will help ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk. The ...