Floods remain among the deadliest and most economically destructive natural hazards on Earth, and the window in which authorities can act before catastrophic inundation is often measured in hours ...

Modern computational tools let scientists explore huge numbers of possible molecules, materials and chemical reactions. But testing every combination in the lab is slow and costly. So how do ...

IntroductionPurpose of this bookThis book depicts the path from Bayesian inference to deep learning as a single long-form technical volume. There is one central theme: how can we handle uncertainty in ...

Introduction The moment I felt the most cold sweat in my machine learning career was during an internal review when I was ...

Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon steel but the ...