AI trained like a Rubik's Cube solver simplifies particle physics equations

For years, Rutgers physicist David Shih solved Rubik's Cubes with his children, twisting the colorful squares until the ...

Small quantum system outperforms large classical networks in real-world forecasting

Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a ...
IEEE

An Efficient Method for Solving the Traveling Salesman Problem Using Modern Optimization Algorithms

Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...
Frontiers

CLMOAS: collaborative large-scale multi-objective optimization algorithms with adaptive strategies

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
IEEE

Two-Stage Optimization Method for Beam Optical Systems Based on Multi-Objective Intelligent Optimization Algorithms

Abstract: To achieve high-precision engineering design and improve the optimization efficiency of beam optical systems, this paper proposes a two-stage optimization method based on intelligent ...
Invezz

TikTok set for US ownership, Oracle to lead algorithm control: White House

Oracle to lead US TikTok operations, controlling algorithm and user data. US-based entity to hold 80% of TikTok US, ByteDance retains minority. TikTok’s US move reflects broader US-China tech and ...
mccormick.northwestern.edu

A Scalable Probabilistic Computer

Ising machines demonstrate significant potential to tackle computationally complex challenges, including combinatorial optimization problems related to logistics, manufacturing, finance, and AI. The ...