In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and ...

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 ...

From genetically engineered dinosaurs to the "perfect" AI companion, these are the five best sci-fi movies of 2025, so far ...

Genetic algorithms are optimization techniques inspired by natural evolution. They work by maintaining a population of candidate solutions and iteratively improving them through selection, crossover ...

Abstract: Deep neural networks have rapidly advanced, with many models demonstrating outstanding performance. However, robustness is crucial for ensuring the safety and stability of artificial ...

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...

College of Aircraft Engineering, Nanchang Hangkong University, Nanchang, China. To address the conflict issues among structural mass, maximum deformation, and equivalent stress in traditional ...

Institute of Logistics Science and Engineering of Shanghai Maritime University, Pudong, China Introduction: This study addresses the joint scheduling optimization of continuous berths and quay cranes ...

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...