Optimizing RNA design with AI and an Ising machine: Encoding matters

RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene therapies to genome editing and synthetic biology. However, designing RNA ...
Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Tech Xplore

Spintronic hardware unlocks faster, lower-energy optimization, outpacing tested quantum annealers

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...
IEEE

Joint Optimization of Handover Control and Power Allocation Based on Multi-Agent Deep Reinforcement Learning

Abstract: In this paper, we study the handover (HO), and power allocation problem in a two-tier heterogeneous network (HetNet), which consists of a macro base station, and some millimeter-wave (mmWave ...
IEEE

Dynamic Task Assignment of Multiple Heterogeneous Autonomous Aerial Vehicles Based on Consensus With Uncertainties

Abstract: This study addresses the problem of maximizing the task-assignment reward of a fleet of heterogeneous autonomous aerial vehicles (AAVs) in a dynamic reconnaissance and confirmation task in ...