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

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

Alongside text-based large language models (LLMs), including ChatGPT in industrial fields, GNN (Graph Neural Network)-based graph AI models that analyze unstructured data such as financial ...

Enterprise data platforms increasingly unite analytics, governance and orchestration, with new generative and agentic AI-enabled features to improve autonomy and speed.

Cassie Shum, VP of Field Engineering at RelationalAI, joins host Keith Shaw on DEMO to showcase how enterprises can unlock the power of their data using relational knowledge graphs directly within ...

A federal judge has temporarily blocked the Department of Health and Human Services (HHS) from sharing the personal data of Medicaid enrollees with immigration officials. District Judge Vince… ...

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

EA Sports has partnered with the NHL in an effort to make players behave more realistically.

The surge in the data centers' water use comes as Texas endures prolonged drought, with about a quarter of the state still experiencing dry conditions despite intermittent heavy rain and flooding.

We recently discussed the legal developments related to fair use in AI training. Through a bipartisan bill titled the AI Accountability and Personal Data Protection Act (the “Bill ...