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

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

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 ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

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

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

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 ...

The Department of Chemistry and Materials Science is looking for: ...