But AI is being used in these fields through techniques that researchers have studied for years and whose strengths and ...

This week’s Top 10 looks at the applications of machine learning in the energy sector, spotlighting those leading the way ...

FlappyAI is a project that initially intended to be just a Flappy Bird clone to practice Object-Oriented Programming (OOP) in C++. However, upon finishing it, I felt it could still become something ...

aDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA bDepartment of Medicine, University of California Los Angeles, Los Angeles, CA, USA cDepartment of Medicine, ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

The field of neuroimaging has undergone profound transformation in recent years, driven primarily by rapid advances in machine learning (ML), and especially deep learning (DL), techniques. These ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

Abstract: Class imbalance introduces bias into model learning and remains a persistent and fundamental challenge in machine learning. When class imbalance is coupled with complex data distribution ...

Abstract: Insomnia is a common sleep disorder characterized by difficulty falling asleep or staying asleep, even when the sleep environment is conducive to rest. It can negatively affect both physical ...

A collection of core Machine Learning algorithms implemented from scratch using only NumPy. This project focuses on understanding the inner workings of ML models without relying on libraries like ...