Formula 1 is hitting Miami this weekend and behind the fast cars, star drivers, and high stakes is something you may not expect: machine learning.

Formula 1 is also using SageMaker, Amazon's end-to-end machine learning service, to train deep learning models with more than 60 years of historical race data stored in Amazon DynamoDB and Glacier.

First is Node2Vec, a popular graph embedding algorithm that uses neural networks to learn continuous feature representations for nodes, which can then be used for downstream machine learning tasks.

Google’s work with machine learning is impressive for a number of reasons, but its most practical uses often come in places you wouldn’t expect. Today, Google is revealing new tools in Sheets ...

Built-in search, artificial intelligence, machine learning and a knowledge graph connecting billions of entities is how Google plans to ultimately compete and win in many markets where it isn't ...

More information: Xiaorui Su et al, Interpretable identification of cancer genes across biological networks via ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

Next-generation graph data and analytics platform now with machine learning and data science features to accelerate innovation SAN FRANCISCO, Oct. 11, 2023 /PRNewswire/ -- ArangoDB, the ...

More information: Daniil A. Boiko et al, Advancing molecular machine learning representations with stereoelectronics-infused molecular graphs, Nature Machine Intelligence (2025). DOI: 10.1038 ...