Programming efficient asynchronous systems is challenging because it can often be hard to express the design declaratively, or to defend against interleaving-dependent bugs such as data races and ...

Abstract: Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses. This article presents a ...

Billions of dollars are flowing into humanoid robot startups, as investors bet that the industry will soon put humanlike machines in warehouses, factories and our living rooms. Many leaders of those ...

In recent years, deep reinforcement learning (DRL), by integrating neural network technologies, has made significant progress in the field of production scheduling, represents a promising approach.

If this were a game of Civilization, we'd certainly be moving into the "Future Era", which the game's wiki describes as containing "marvels beyond the dreams of ancient prophets, and terrors more ...