Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...

One of the most stubborn obstacles in computational drug discovery is the cold-start problem: how do you predict whether a new drug will interact with a protein target when the model has never seen a ...

Single-cell biology has been transformed over the past decade by the ability to measure gene expression in thousands of ...

There is a confluence of activity—including generative AI models, digital twins, and shared ledger capabilities—that are having a profound impact on helping enterprises meet their goal of becoming ...

If you are interested in learning how to build knowledge graphs using artificial intelligence and specifically large language models (LLM). Johannes Jolkkonen has created a fantastic tutorial that ...

The Graph (GRT) transitions Subgraph Studio traffic to its decentralized network, starting with BNB Smart Chain and Polygon. Migration set for Oct 8, 2026.

One of the strongest trends in data application development in recent years has been the rise of the GraphQL query language. GraphQL is finding adoption by database vendors and enterprises as a way to ...

In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial, to banking and ...

Foundation models will form the basis of generative AI's future in the enterprise. This enables businesses to draw new connections across data types and expand the range of tasks that AI can be used ...

Revolut’s PRAGMA (PRe-trained Banking Foundation Model) is a family of encoder-style models scaling from 10 million to 1 billion parameters. This is the largest published encoder backbone for consumer ...