Bayesian observer models provide a principled account of the fact that our perception of the world rarely matches physical reality. The standard explanation is that our percepts are biased toward our ...

Did you know meteorologists forecast the weather using a bunch of different physics and mathematical equations? They use these equations to create what's known as numerical weather models to predict ...

In this Invited Talk from SC19, Karen Willcox from the University of Texas presents: Predictive Data Science for Physical Systems: From Model Reduction to Scientific Machine Learning. Achieving ...

3 Steps for Better Data Modeling With IT, Data Scientists and Business Analysts Your email has been sent Data analysts can help build accessible and effective data models by defining business ...

The Rise of Logical Data Management by Christopher Gardner is a thoroughly researched and timely guide for understanding how ...