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

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

Combining Neo4j with Claude, MCP, and network monitoring has given the truck giant real-time visibility into how its systems, ...

PanMAN data structures compress pangenomes massively, encode evolutionary histories, and enable scalable analysis of millions of genomes.

Engineers at UC San Diego have developed a new data structure and compression technique that enables the field of pangenomics ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...

Matt Kehoe, Managing Director Financial Services Industry at Reltio (Credit: BizClik) Matt Kehoe of Reltio explains how intelligent data graphs unify trusted enterprise data with AI and agents to ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

Data‑analysis workflow. Experimental and computational datasets are unified; crystal‑structure graphs, deep learning, and dimensionality reduction yield the materials map. Selecting the right material ...