Firefighting robots powered by artificial intelligence have completed a successful early trial in Australia, ...

Fighting fires could be done remotely without the need to place firefighting crews directly in potentially dangerous situations by using collaborative teams of artificial intelligence-powered robots ...

The advancement of unmanned aerial vehicle (UAV) technology, coupled with breakthroughs in artificial intelligence (AI), has significantly expanded the potential of drone swarms, particularly within ...

Let’s look at how RL agents are trained to deal with ambiguity, and it may provide a blueprint of leadership lessons to ...

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have an important impact. That may feel especially true, for example, when ...

Wind turbine control systems have evolved significantly over the past decades, moving from simple classical controllers to sophisticated artificial intelligence-based strategies. Early utility-scale ...

According to @godofprompt, Meta has introduced DreamGym, a cutting-edge framework reshaping how AI agents learn through reinforcement learning. Traditional reinforcement learning has struggled with ...

ABSTRACT: This paper introduces a novel AI-enhanced retirement planning platform that integrates behavioral economics principles with advanced machine learning techniques to optimize financial ...

Abstract: Deep reinforcement learning (DRL) has emerged as a promising paradigm for the intelligent control of power electronic converters. It offers adaptability, model-free operation, and real-time ...