The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Introduction: We present Quantum Adaptive Search (QAGS), a hybrid quantum-classical algorithm for global optimization of multivariate functions. The method employs an adaptive mechanism that ...

Callbacks are a powerful way to reduce wait times and improve satisfaction. They allow customers to choose when they want to be contacted, eliminate the frustration of long hold times, and help ...

Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect human lives. What Amsterdam’s welfare fraud algorithm taught me about fair ...

Abstract: This paper describes the Jaya Algorithm and compares its performance with the Genetic Algorithm for optimizing the Himmelblau function and the Rosenbrock function. The Jaya algorithm is ...

In the context of using DNSGA2 to solve dynamic multi-objective optimization problems (DMOPs), a critical issue arises regarding the timing of the callback function execution and its impact on ...

Tristan Jurkovich began his career as a journalist in 2011. His childhood love of video games and writing fuel his passion for archiving this great medium’s history. He dabbles in every genre, but ...

Abstract: In order to improve the convergence speed of the existing LMS algorithms, a new LMS algorithm with variable step size based on the Swish function is proposed, and the effects of the ...

What are sports betting algorithms? Sports betting algorithms are data-driven systems that analyze vast amounts of sports data, including player statistics, team performance, weather conditions, and ...