Singularity Hub

AI Is Advancing Faster Than Our Ability to Understand It, Researchers Warn

While we still can't explain how AI works, algorithms are rapidly learning what makes us tick. And the gap is widening. AI is becoming more powerful, and mysterious. Despite years of work on ...
IEEE

Dynamic Multi-Objective Evolutionary Algorithm Based on Spectral Clustering Prediction

Abstract: To address the challenge of rapidly tracking the new pareto optimal set (PS) after environmental changes in dynamic multi-objective optimization problems (DMOPs), this paper proposes a ...
Nature

Dynamic staff scheduling optimization algorithm for hotel management

In hotel management, traditional manual scheduling relies on experiential decision-making. It struggles to address dynamic challenges from occupancy fluctuations, periodic peaks, and sudden demands.
IEEE

A dynamic parameter identification approach integrating model-based and data-driven algorithms and its software development for a 6-DOF hybrid robot

Abstract: To address the issues of excessive parameters and a long training process, this study takes the TriMule-200 robot as an example and proposes a model-based and data-driven dynamic parameter ...