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 ...
Scientific Research Publishing

Miettinen, K. (1999) Nonlinear Multiobjective Optimization. Springer Science & Business Media, Vol. 12, 201-203.

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
earth

AI algorithms can increase ocean plastic cleanup efficiency

Plastic waste has woven itself into the fabric of our oceans, threatening marine life, disrupting ecosystems, and impacting global economies. For decades, attempts to solve this crisis struggled with ...
IEEE

Distributed Convex Optimization Over Nonlinear Networks Under Set Constraints

Abstract: This article is devoted to the distributed convex optimization problem for a class of nonlinear multiagent systems under set constraints. The optimization objective function is composed of ...
GitHub

non-linear-optimization

Ceres.js is a javascript port of the Ceres solver. Ceres Solver is an open source C++ library for modeling and solving large, complicated optimization problems. It can be used to solve Non-linear ...