A research team from Ruhr-Universität Bochum (RUB) has developed a new artificial intelligence (AI) algorithm that significantly enhances the analysis capabilities of biological data by incorporating ...

AI is rapidly transforming fertility care, from cycle tracking to embryo selection. The troubles arise when it is used to try ...

Abstract: Unlike single objective optimization algorithm, solving multi-objective problem (MOP) is a complex task. The solution of a multi-objective optimization problem is a set of solutions, called ...

Abstract: The registration of multiple local maps is a crucial step in multi-robot collaboration. However, existing methods are insufficient to address the complexities associated with sparse features ...

This repository contains the implementation of a novel multi-agent reinforcement learning approach for molecular optimization and drug discovery, combining genetic algorithms with deep reinforcement ...