Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

As part of "shift left" to incorporate security discussions earlier in the software development life cycle, organizations are beginning to look at threat modeling to identify security flaws in ...

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

Researchers have used machine learning to create a model that simulates reactive processes in organic materials and conditions. Researchers from Carnegie Mellon University and Los Alamos National ...

Bioprocess modeling is undergoing a transformative phase with the advent of digital technologies like artificial intelligence (AI) and machine learning ...

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...

The monoclonal antibody industry is benefitting from machine learning (ML), according to new analysis showing that use of the approach in process development is increasing. The study, by researchers ...

Learn what overfitting is, how it impacts data models, and effective strategies to prevent it, such as cross-validation and simplification.