Dhruv Shenai investigates how machine learning and lab automation are transforming materials science at Cambridge ...

One of the things that makes the main particle accelerator at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility unique is that it was the first linear accelerator to ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Overview: Focuses on skills, projects, and AI readiness, not hypeCovers degrees, certificates, and online programmesHelps ...

IOP Publishing (IOPP) is launching the world's first series of open access journals dedicated to the application and development of machine learning (ML) and artificial intelligence (AI) for the ...

Artificial Intelligence is growing fast, and professionals now need both data science knowledge and Generative AI skills. These programs teach solid technical basics along with fundamental GenAI tools ...

Scientists used a new video-based machine learning tool to pinpoint otherwise-undetectable signs of early disease in mice that were engineered to mimic key aspects of Alzheimer's. Their work sheds ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...