In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

Md M Rahman et al, Accelerating cavity fault prediction using deep learning at Jefferson Laboratory, Machine Learning: Science and Technology (2024). DOI: 10.1088/2632-2153/ad7ad6 ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Today, genomics is saving countless lives and even entire species, thanks in large part to a commitment to collaborative and ...

Key Takeaways The transition requires upskilling in Python, statistics, and machine learning.Practical experience with ...

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

A digital innovation initiative about fault anomalies has been selected as one of the first projects for the new Microsoft AI ...

Since launching in 2016, the Manufacturing Futures Institute has attracted generous funding, many valued collaborators, and numerous opportunities to be a part of major federal projects.

W Converting's Accelerate digital services initiative, focused on fault anomalies, has been chosen as a project for the Microsoft AI Co-Innovation Lab at the University of Wisconsin-Milwaukee, ...