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 ...

Abstract: With the development of artificial intelligence, deep reinforcement learning (DRL) has shown a promising prospect for solving the real-time dispatch problem in real-world power systems.

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

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

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

Speaking with popular AI content creators convinces me that “slop” isn’t just the internet rotting in real time, but the ...

Cloud is no longer just storage—it’s the intelligent core of modern business. Explore how “cognitive cloud” blends AI and cloud infrastructure to enable real-time, self-optimizing operations, improve ...

Abstract: Deep Reinforcement Learning (DRL) enable several areas of artificial intelligence, including perception recognition, expert system, recommender program and game. Also, graph neural networks ...

ARDS is a life-threatening lung condition causing severe breathing failure. New research shows AI could personalize ...