A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

From human-centric automation to smart manufacturing, Harsh Vardhan is guiding Apollo Tyres to an intelligent, AI-powered ...

Introduction Maternal and child mortality has markedly decreased worldwide over the past few decades. Despite this success, the decline remains unequal across countries and is overall insufficient to ...

Choose your path! This repository prepares you for multiple ML/AI careers. Select your target role to see a customized learning path: Role Focus Est. Time Key Modules ...

Abstract: Competency-based education (CBE) in higher education demands interpretable and scalable tools to monitor student progress. Current studies on CBE have used small samples in short evaluation ...

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...

Washing machines aren’t what they used to be. Some new appliances have over a dozen cycles, and then there are a slew of other things to consider, including water temperature, spin speed, cycle ...

Background: Gastric cancer remains a major cause of cancer-related morbidity and mortality. Despite advances in surgical and perioperative care, prolonged hospitalization continues to strain ...

I passed the AWS Certified Machine Learning Engineer Associate on July 4th 2025 and created these notes during my study journey. 70%: Deep dive into Amazon SageMaker and its thoushand features. 20%: ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd.