A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with molecular simulations. As a proof of concept, the group successfully synthesized ...

Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...

This week’s Top 10 looks at the applications of machine learning in the energy sector, spotlighting those leading the way ...

It's all well and good to deliver successive machine learning (ML) platforms for data scientists, but if we don't bring business developers on board, ML and Artificial Intelligence (AI) just won't ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Machine learning is changing the front end of drug discovery, where researchers decide which targets to pursue and which molecules deserve costly laboratory work. Its deeper test lies further ...

Overview: Enterprises now prioritize scalable AI frameworks supporting automation, governance, and intelligent workflow ...

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...

Artificial intelligence can be a huge help to humans writing unit testing scripts. Software development is a creative endeavor, but it can be filled with tedious tasks. Most mundane of all is writing ...