Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for ...

Abstract: The latent factor analysis (LFA) model is an effective tool for extracting valuable information from high-dimensional and sparse (HiDS) matrices. However, traditional LFA usually suffers ...

Most polymers don’t mix—and that’s the point. Polymer alloys succeed by engineering the interface: use thermodynamics to predict separation, processing to sculpt morphology, and compatibilizers to ...

Abstract: Hyperparameter optimization on Machine Learning models is crucial for their correct refinement. For complex big models (such as Deep Learning models), in which a single training model is ...

Efficient traffic signal control is crucial for reducing congestion and improving vehicle flow in urban areas. This project implements a Genetic Algorithm (GA) to optimize traffic light timings using ...

Researchers at the Paul Scherrer Institute PSI have developed an AI that could open up a new, cost-effective approach to identifying genetic perturbation patterns in cell images – potentially enabling ...

College of Aircraft Engineering, Nanchang Hangkong University, Nanchang, China. Since time immemorial, achieving high performance, structural lightweight, and cost-effectiveness of aircraft has been a ...