Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

When faced with something new, human beings instinctively reach for comparisons. A child learning about atoms might hear that electrons orbit the nucleus “like planets orbit the sun.” An entrepreneur ...

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that can ...

When data is productized and semantics encoded, you unlock agentic AI at scale. Instead of assistants, you get executors: ...

Michael Skinnider and his team have developed DeepMet, a large language model–guided program that can assign a structure to ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Graph database expert Marko Budiselić has some thoughts on why it's time to be more data source ecumenical. Coming from the world of graph technology, ...

SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, ...

Examining the Impact of Silence and the Conversations That Change Everything I wrote this book and journal for moments ...