A new graph machine learning framework integrates LLMs and human oversight to predict urban walkability and simulate design ...

A dual-branch deep learning framework called MAG-Net fuses Sentinel-1 radar and Sentinel-2 optical imagery over Hudson Bay, ...

How I, who was bad at Excel, became good at "graph creation" using AIWhat you will learn todayThe reason I failed repeatedly ...

This is the 6th installment of the series "Searching for 'Connections': A Practical Guide to Graph Search." Previous: Can you ...

GitLab describes its new platform as a shared, permission-aware graph infrastructure designed to unify agent context.

GTFormer proposes replacing Transformer self-attention with a hierarchical graph neural network, achieving zero-shot length ...

AI agents need access to data across cloud, on-premises and edge environments. Borderless data architectures bring modern AI capabilities to data that can’t move.

Partnerships, product innovation and acquisitions expand market reach, while AI integration and managed services drive efficiency, insight and scalable adoption.Dublin, Oct. 09, 2026 (GLOBE NEWSWIRE) ...

Relay catalysis connects multiple catalytic reactions so that the product of one step becomes the reactant of the next. This approach can improve efficiency, increase selectivity, and reduce energy ...

Ever since large language models (LLMs) exploded onto the scene, executives have felt the urgency to apply them enterprise-wide. Successful use cases such as expedited insurance claims, enhanced ...