Backed by the state, Chinese workers are using AI to deal with limited resources and drive innovation to compete with Silicon ...

Abstract: In this work, we focus on solving non-smooth non-convex maximization problems in multi-group multicast transmission. By leveraging Karush-Kuhn-Tucker (KKT) optimality conditions, we ...

Abstract: Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The automated design of ...

You need to pivot to stay competitive. Technical excellence is no longer enough; you have to be demonstrably useful. You need a strategy that’s more than just formatting, that looks deeper into the ...