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

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
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 ...
IEEE

A Prediction-Correction Proximal Method for Convex Optimization With Linear Equality and Inequality Constraints

Abstract: This article presents a prediction-correction proximal method (PCPM) for the general nonsmooth convex optimization problem with linear equality and inequality constraints. The proposed ...