ML.NET is a cross-platform open-source machine learning (ML) framework for .NET. ML.NET allows developers to easily build, train, deploy, and consume custom models in their .NET applications without ...

Languages: English. President-elect Donald Trump described Elon Musk's knowledge of Pennsylvania voting systems as the reason he won the state in the 2024 election, causing some viewers and left ...

GraphChem is an open source Python package for constructing graph-based machine learning models with a focus on fuel property prediction. To contribute to GraphChem, make a pull request. Contributions ...

Abstract: This letter introduces a graph learning approach leveraging prior knowledge of graph topology. For this, we integrate the concept of polytopic uncertainty into existing approaches that learn ...

A knowledge graph is a collection of relationships between entities defined using a standardized vocabulary. It structures data in a meaningful way, enabling greater efficiencies and accuracies in ...

(Tharsha Ravichakaravarthy/CBC) A new research paper based on interviews with elders across the N.W.T. says Indigenous traditional knowledge could help make the circumpolar health care system ...

the industry’s first knowledge graph coprocessor for the data cloud. Nikolaos has over 20 years of experience implementing high-value machine learning and AI solutions across various industries.