High uncertainty, lack of in-house capability and the quest for a highly accurate model. These are just three of the main challenges in implementing a machine learning project. I remember my boss ...

In this special guest feature, Victor Amin, Data Scientist at SendGrid, advises that businesses implementing machine learning systems focus on data quality first and worry about algorithms later in ...

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 ...

Join us to learn about how to use cutting edge GPU infrastructure to solve real world material discovery problems with AI and unsupervised machine learning. Our lab in the Department of Materials ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...