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 ...

According to Dimers’ independent predictive analytics model, the Bills are more likely to defeat the Eagles at Highmark ...

Autonomous Agents Platform Market is predicted to register growth from USD 8.8 bn in 2025 to about USD 221.1 bn by 2034 ...

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing high-volume liposuction, reports a study in the January issue of Plastic and ...

As businesses turn to ERP solutions for predictive insights, it’s important to keep in mind three key considerations.

Doctors treating ICU patients on ventilators face a constant challenge regarding nutrition. Now, an AI system can help.

This study shows that a blood-based metabolomic signature linked to maternal BMI predicts gestational diabetes and ...

Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...

The intersection of AI and Wi-Fi will be the dominant theme in 2026 and beyond, with opportunities flowing in both directions.

The more important question for the decade ahead is whether AI will merely concentrate power or serve to strengthen public institutions and expand human agency. That answer is unfolding now in ...

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...