FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

Artificial Intelligence in Energy Market was valued at USD 3904 Million in the year 2024 and is projected to reach a revised size of USD 11720 Million by 2031, growing at a CAGR of 17.3% during the ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

This project allows users to work with advanced portfolio optimization using natural language, without writing code. It provides 9 specialized MCP tools covering everything from classic mean-variance ...

Abstract: The evolution of intelligent warehousing represents a paradigm shift in supply chain logistics, driven by the synergistic integration of machine learning (ML) algorithms, Internet of Things ...

Introduction: Hip exoskeletons can lower the metabolic cost of walking in many tasks and populations, but their assistance patterns must be tailored to each user. We developed a simulation-based, ...

ChemXploreML is a user-friendly desktop application specifically designed to bring the power of machine learning to chemistry research. It streamlines the entire machine learning pipeline for ...

College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...

Abstract: In the context of yield optimization, this study proposes a novel hybrid optimization model that combines machine learning with the Shark Optimization Algorithm (PF-SOA) to enhance system ...