While quantum computing provides new capabilities to AI, the relationship is reciprocal. The study explains how AI helps ...

To address this problem, an adaptive distributed algorithm is designed to seek Nash equilibrium by combining two optimization levels. Specifically, the decision layer uses a distributed consensus ...

Using services like ChatGPT or Microsoft Copilot can sometimes seem like magic—to the point it can be easy to forget about ...

MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

The convergence of artificial intelligence and cloud mining is creating unprecedented opportunities for the next generation of cryptocurrency enthusiasts.

This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

The breakthroughs in these directions will drive optimization algorithms to evolve from “problem solving tools” to “intelligent decision making engines”, and provide the core technical support for ...

This paper investigates a distributed aggregative optimization problem, focusing on formation control within local constraint sets over multi-robot system. Each robot's local objective function is ...