Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, machine learning safety, quantitative research, and large scale systems. While many ...