Google’s June 2025 Core Update just finished. What’s notable is that while some say it was a big update, it didn’t feel disruptive, indicating that the changes may have been more subtle than game ...

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

Implementing AI in healthcare isn’t just about choosing the right tools—it’s about making them work in the real world.

LinkedIn, for example, uses a knowledge graph to structure and interconnect data about its members, jobs, titles, and other entities.

How does the journey to a knowledge graph start with unstructured data—such as text, images, and other media? The evolution of web search engines offers an instructive example, showing how ...

In this study, we present a novel approach to adversarial attacks for graph neural networks (GNNs), specifically addressing the unique challenges posed by graphical data. Unlike traditional ...

GraphRAG, a graph-based approach to retrieval-augmented generation (RAG) that significantly improves question-answering over private or previously unseen datasets, is now available on GitHub. Learn ...

Graph neural networks is the preferred neural network architecture for processing data structured as graphs (for example, social networks or molecule structures), yielding better results than ...

What This Graph of a Dinosaur Can Teach Us about Doing Better Science “Anscombe’s quartet” and the “datasaurus dozen” demonstrate the importance of visualizing data ...