Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

Abstract: Robust model predictive control (MPC) algorithms are essential for addressing unavoidable errors due to the uncertainty in predicting real-world systems. However, the formulation of such ...

This man believes auto insurance companies will soon use AI to track driving quality and reimagine the underwriting process, ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Overview: Advanced Big data courses equip learners with skills in analytics, machine learning, and data visualization.Hands-on experience with tools like Hadoop ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

CLERMONT-FERRAND, France & SUNNYVALE, Calif., December 19, 2025--Michelin & Sonatus debut AI-powered in-vehicle tire digital twins at CES 2026, delivering real-time predictive insights for safer, long ...

Matthew Breece, assistant professor of marine science at St. Mary’s College of Maryland, has received a subaward exceeding ...

Firms may use analytical tools—including software, machine learning, or predictive model—so long as they make independent ...

In the wake of tragic subway accidents, artificial intelligence is stepping in to detect danger before it escalates. From ...