If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Abstract: Graph data, e.g., social and biological networks, financial transactions, knowledge graphs, and transportation systems are pervasive in the natural world, where nodes are entities with ...

SAN FRANCISCO, Oct. 11, 2023 /PRNewswire/ -- ArangoDB, the company behind the most complete and scalable graph data and analytics platform, announced the GA release of ArangoGraphML, a fully ...

Deep learning models are represented in PyTorch as Dynamic Computation Graphs (DCGs). Unlike with pre-constructed static graphs, the structure of the neural network is built and modified on the ...

Best Practices in What’s Ahead in AI, Machine Learning, and Knowledge Graphs Understanding, Knowing, and Connecting via Knowledge Graphs Knowledge graphs grant us new and different ways of visualizing ...

Apple’s machine learning (ML) teams have released a new ML framework for Apple Silicon: MLX, or ML Explore arrives after being tested over the summer and is now available through GitHub.

Specifically, the researchers' machine learning approach, called an actor-model framework, was especially good at finding a "sweet spot" for image contrast. Ghezzi uses Photoshop as an example.