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 ...

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In the evolving world of data architecture and analytics, Gopala Krishna Subraya Pai stands out as a thought leader whose innovative integration of Artificial Intelligence (AI) with Dimensional and ...

A database model that focuses on decision support outcomes rather than the normal relationships between datasets as in an entity relationship (ER) model. ER models are "normalized" models that are ...

Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks — vertices (dots) and edges (lines connecting them) — has been an invaluable way ...

AI’s next frontier—physical AI and world models—requires rich, multi-dimensional data to function in real-world environments, ...

The quest for more training data has created a glut of low-quality junk data that could derail the promise of physical AI.