ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its offering. Written by George Anadiotis, Contributor Aug. 27, 2020, 5:00 a.m. PT ...

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

Machine learning-based neural network potentials often cannot describe long-range interactions. Here the authors present an approach for building neural network potentials that can describe the ...

While quantum computing provides new capabilities to AI, the relationship is reciprocal. The study explains how AI helps ...

Advancing the state of the art in natural language processing is done on the intersection of graphs and machine learning. Written by George Anadiotis, Contributor March 18, 2019 at 9:49 a.m. PT ...

Bringing knowledge graph and machine learning technology together can improve the accuracy of the outcomes and augment the potential of machine learning approaches. With knowledge graphs, AI language ...

Both generative AI and machine learning use algorithms to address complex challenges, but generative AI uses more sophisticated modeling and more advanced algorithms to add a creative element ...

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.

Machine learning is great for answering questions, and knowledge graphs are a step towards enabling machines to more deeply understand data such as video, audio and text that don’t fit neatly ...