Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...

Graph neural networks (GNNs) have rapidly emerged as a central methodology for analysing complex datasets presented as graphs, where entities are interconnected through diverse relationships. By ...

You wouldn’t change up your entire production process based on sales from just a couple of locations, and you wouldn’t lower auto insurance premiums across the board because collision rates went down ...

One theme cuts across the most credible 2026 predictions: autonomy will be driven less by bigger models and more by better ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Graphs are, quite simply, a universal ...

What is The Graph (GRT) cryptocurrency? The Graph is a decentralized indexing system that allows users to query data from blockchain networks, making DApp development easier. The Graph is an ...

A technical paper titled “Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks” was published by researchers at Purdue University, Indian Institute of Technology (IIT) Madras, ...

Nanoengineers have developed new deep learning models that can accurately predict the properties of molecules and crystals. The models can enable researchers to rapidly scan the nearly-infinite ...

The internal social graph inside companies will be quite different and far more useful than existing public counterparts. A social graph in the public realm represents the network we have created by ...