Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

With the digital environment constantly shifting, businesses have to adjust their strategies to keep pace with rivals. One of ...

Delivery estimate accuracy (DEA) refers to the ability of an ecommerce business to correctly predict when a customer’s order ...

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 ...

Learn how recommendation algorithms, streaming recommendations, and social media algorithms use content recommendation ...

"For 2026, this matters because audiences expect visuals that react, evolve, and feel alive," Jane continues. "It signals ...

Companies like Instacart and Delta and using AI to set prices. What you pay may hinge on how much the AI knows about you.

Introduction: The learning process is characterized by its variability rather than linearity, as individuals differ in how they receive, process, and store information. In traditional learning, taking ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the importance of performing ...

Aiming at the problem of inaccurate fruit recognition and fruit diameter detection in the persimmon inspection process, this research proposes a novel persimmon accurate recognition and fruit diameter ...

Abstract: Multi-instance learning (MIL) has been widely applied to diverse applications involving complicated data objects, such as images and genes. However, most existing MIL algorithms can only ...