What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design proteins needed for new treatments. Inverse protein folding is a critical ...

Machine learning (ML) techniques have become powerful tools in both industrial and academic settings. Their ability to facilitate analysis of complex data and generation of predictive insights is ...

Discover how to use machine learning in software development to optimize workflows, and learn about machine learning models, pipeline integrations, and code review tools.

This study proposes machine-learning methods for predicting and inverse analysis of mathematical models in computational fluid dynamics (CFD) simulations to implement process optimization. In ...

Probabilistic modeling through Bayesian inference using PyStan with demonstrative case study experiments from Christopher Bishop's Model-based Machine Learning. Use various techniques to train and ...

This article presents a new noniterative inverse modeling technique based on machine learning regression and its applications to microwave design optimization. The proposed inverse model accepts the ...

This article presents a new noniterative inverse modeling technique based on machine learning regression and its applications to microwave design optimization. The proposed inverse model accepts the ...