This book offers a comprehensive framework for mastering the complexities of learning high-dimensional sparse graphical models through the use of conditional independence tests. These tests are ...

Researchers at the Department of Energy’s SLAC National Accelerator Laboratory have built a generative AI model that reconstructs the three-dimensional geometry of molecules from the scattered ion ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...

The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...

We had an interesting term recently in our AI ventures class that caught my attention – dimensional AI. What is dimensional AI? It turns out that my friend Ramesh Raskar, who runs a group at the MIT ...

Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...