IEEE

Dual-Timescale Nonlinear Energy Optimization for Cloud Resource Provisioning

Abstract: Green computation has emerged as one of the key goals of cloud resource provisioning. The cloud resource clusters (CRCs) composed of heterogeneous performance servers are powered by ...

AI Can Solve Many Complex Problems, So Why Isn’t Science Moving Faster?

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

Light may outshine quantum for some of computing's toughest optimization problems

Published in Nature, the study details the first large-scale demonstration of a photonic Ising machine operating without the ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification BEIJING, Feb.06, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...
IEEE

Practical Fixed-Time Distributed Optimization for Uncertain High-Order Nonlinear Multiagent Systems Under Mismatched Disturbances

Abstract: This article investigates the practical fixed-time distributed optimization problem (DOP) in nonlinear multiagent networks, where the optimization decision of each agent is subject to global ...
Frontiers

Application of the ANN with swarm optimization algorithm in layer property backcalculation for asphalt pavement

State-of-the-art techniques for pavement performance evaluation have attracted considerable attention in recent years. Artificial Neural Networks (ANNs) can simulate the human brain to discover hidden ...