An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

OpenAI is rolling out ChatGPT Health, which is a dedicated space for health conversations. Amidst privacy concerns, OpenAI ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

Abstract: Graph topology inference is a significant task in many application domains. Existing approaches are mostly limited to learning a single graph assuming that the observed data is homogeneous.

Abstract: Graph Convolutional Networks (GCNs) have been widely studied for semi-supervised learning tasks. It is known that the graph convolution operations in most of existing GCNs are composed of ...

Neo4j, a leading graph intelligence platform, is releasing Neo4j Fleet Manager—a unified control plane for managing and monitoring graph databases across any environment including cloud, hybrid, and ...