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 ...

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 ...

Meet NVIDIA Nitrogen, a generalist gaming agent trained on 40,000 hours of video, so you can understand how imitation learning scales.

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

This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...

This repository researches into possible improvements to Goal-Oriented Reinforcement Learning (RL) by evaluating the Differential Goalkinematic State (DGS), whose components are based on the distance ...

Abstract: This study presents a method for mobile manipulators to transport heavy and large objects by utilizing environmental support, thereby extending the capability of mobile manipulators to ...

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 ...

We may receive a commission on purchases made from links. Today, a computer can end up being one of the most capable gaming systems available. High-end gaming PCs are able to easily outpace dedicated ...

Use of a large language model (LLM) for pan-cancer automated detection of anti-cancer therapy toxicities and translational toxicity research. Computational pathology to predict docetaxel benefit in ...

The examples are nothing if not relatable: preparing breakfast, or playing a game of chess or tic-tac-toe. Yet the idea of learning from the environment and taking steps that progress toward a goal ...