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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 ...

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 ...
Nanowerk

Probabilistic spintronics speed up greener optimisation tasks

New spintronic hardware harnesses tunable randomness to solve complex optimisation problems faster and with less energy than ...
Tech Times

AI Agents Can Now Spend Real Money Autonomously: How Stripe Built the Payment Infrastructure

Stripe and Cross River Bank announced bank-grade single-use card issuance for AI agents on July 2, as 160 million autonomous ...
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

Quality of Experience and Reliability-Aware Task Offloading and Scheduling for Multi-User Mobile-Edge Computing Systems

Abstract: Mobile-edge computing (MEC) has received wide attention recently due to its efficacy in alleviating the computation stress of mobile devices (MDs), which is realized by offloading workloads ...
Scientific Research Publishing

Optimization of Adaptive MTI Filter ()

College of Information and Communication Engineering, Harbin Engineering University, Harbin, China. MTI band-stop filter as a “single channel”, followed by detection is relatively simple. When the ...