Major brands like Coca-Cola, Unilever and Procter & Gamble have shifted from a single agency of record to a flexible model ...

The company behind hits like Wall Street, American Psycho and Conan the Barbarian has a fresh take on how to bring daring ...

Built on the Snowflake Native App Framework Integration with Snowpark Container Services (now generally available on AWS and public preview on Azure), RelationalAI enables customers to build and ...

While several companies offer LLM-powered tools for data analysis, Connecty claims to stand out with its context graph-based approach.

Exponential growth like that makes the subscription business model a big opportunity for existing and aspiring ecommerce ...

PuppyGraph, the first and only graph query engine, announced today its $5 million seed funding round led by defy.vc. The zero ...

The new model is based on multi-fidelity graph neural networks (GNNs), a type of AI designed to improve power flow analysis—the process of ensuring electricity is distributed safely and efficiently ...

Our strong model is reflected in the resilience of our business. It is a competitive strength that continues to differentiate us. Building a more responsible bank by embedding ESG To build a more ...

Researchers use AI to manage the growing complexity of modern power grids. As renewable energy sources such as wind and solar become more widespread, managing the power grid has become ...

pggb builds pangenome variation graphs from a set of input sequences. A pangenome variation graph is a kind of generic multiple sequence alignment. It lets us understand any kind of sequence variation ...

The approach uses Graph Attention Networks to flexibly capture feature dependencies in a way that maintains a small model size while augmenting the feature vector with feature dependencies. And by ...

University of Virginia School of Engineering and Applied Science professor Nikolaos Sidiropoulos has introduced a breakthrough in graph mining with the development of a new computational algorithm.