To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what ...

Featuring books spanning four continents, these recommended reads provide a global perspective on data journalism.

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to ...

Probabilistic Graphs and Uncertain Data Analysis Publication Trend The graph below shows the total number of publications each year in Probabilistic Graphs and Uncertain Data Analysis.

Graph Neural Networks (GNNs): A class of deep learning architectures designed for processing data structured as graphs, which enables the extraction of both local and global feature representations.

More than 1,000 mathematicians are meeting in Montreal until August 1 for lectures, presentations, and displays for SIAM AN25 – Their message? That math is beautiful. Dr. Timothy A. Davis, master ...

With so much potential at stake, companies have to improve their approaches around data management. Collecting large amounts ...

Oilfield services firm Baker Hughes said on Tuesday it would buy Chart Industries in a $13.6 billion all-cash deal, including ...

Unfortunately, my initial hands-on testing with corrupted datasets reveals a fundamental enterprise problem: impressive capabilities paired with insufficient transparency about data transformations.

This important study uses data on over 56 million articles to examine the dynamics of interdisciplinarity and international collaborations in research journals. The data analytics used to quantify ...