Neo4j has agreed to acquire GraphAware to expand AI-based intelligence analysis offerings The acquisition supports Neo4j’s $100 million AI investment road map The 2026 Intel Summit on Sept. 24 will ...

Graph intelligence leaders will join forces to deliver a customer-proven, open-standards intelligence analysis platform that ensures data sovereignty Neo4jⓇ, the world’s leading graph intelligence ...

Neal J. Riley is a digital producer for CBS Boston. He has been with WBZ-TV since 2014. His work has appeared in The Boston Globe and The San Francisco Chronicle. Neal is a graduate of Boston ...

Neo4j, the graph database from the US-Swedish company of the same name, is used by 76% of the Fortune 100, and its Australian customers include organisations in the healthcare, policing and banking ...

Founded by former OpenAI staff members and funded by Amazon and Google, Anthropic has raised the stakes in the GPT wars. Anthropic's Claude Desktop app often outshines its ChatGPT rival in various ...

Git isn't hard to learn, and when you combine Git and GitHub, you've just made the learning process significantly easier. This two-hour Git and GitHub video tutorial shows you how to get started with ...

This content can't be displayed right now. To view this embed, please accept targeting cookies. It's loaded from a third party and requires that permission to appear. Manage cookie preferences When ...

People who interact with chatbots for emotional support or other personal reasons are likelier to report symptoms of depression or anxiety, a new study finds. Subscribe to read this story ad-free Get ...

The percentage of teachers who are using artificial intelligence-driven tools in their classrooms nearly doubled between 2023 and 2025, according to data from the EdWeek Research Center. In 2023, a ...

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 ...

We're running out of the easy use cases, where we just throw a large set of unstructured data on it and magic comes out the other side. Now we're hitting the useful, but much harder set of use cases ...