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 ...

Abstract: This article presents a modular AI-driven retail ecommerce chatbot designed to elevate user engagement through advanced natural language understanding (NLU), dynamic dialogue management, and ...

According to God of Prompt (@godofprompt), AI-driven platforms can now generate complete online course modules on topics like Introduction to Machine Learning for ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

The start-up, which creates A.I. companions, faces lawsuits from families who have accused Character.AI’s chatbots of leading teenagers to kill themselves. By Natallie Rocha and Kashmir Hill Natallie ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Department of Electronics Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India Introduction: Early and accurate detection of crop stress is vital for ...