An AI framework processes 176,000 Raman spectroscopy papers, turning them into a knowledge graph that uncovers landmark ...

Harvard University has broadened its educational impact by offering free online courses in diverse fields like computer ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

TL;DR Key Takeaways : LangExtract is an open source Python package developed by Google engineers to convert unstructured text into structured data, allowing the creation of knowledge graphs and ...

Graph-structured data are pervasive in the real-world such as social networks, molecular graphs and transaction networks.

Find out how today's engineers succeed by growing their technical abilities, improving how they communicate, and staying open ...

This youth self-organization project encompasses multiple innovative directions, reflecting the broad application prospects of AI technology in the railway sector. The projects include: AI contract ...