Along with enabling KubeRay, take your existing Ray-based PyTorch code and use it to build a Docker container that can be ...

The rapid pace of innovation in AI is unprecedented—new models, techniques, and tooling emerge at a frenetic pace, demanding constant adaptation and ongoing iteration to stay competitive. That’s why ...

The ability to build custom tools is critical for building customizable AI Agents. In this tutorial, we demonstrate how to create a powerful and intelligent data analysis tool using Python that can be ...

Abstract: This tutorial identifies and discusses the main design choices and challenges arising in the application of machine learning (ML) to optical network failure management (ONFM), including ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Testing made easy with Azure DevOps! In this session, learn how to create, manage, and track test plans to boost quality and streamline your development workflow. Mary Trump issues warning on ...

Abstract: The application of Machine Learning for predictive analysis in healthcare, particularly for diseases like diabetes, has proven highly beneficial. This study introduces an optimized Light ...

Microsoft Corp.’s new financial disclosures include changes to the way it reports Azure metrics. The company said the change was to better align Azure with consumption revenue and by inference, more ...

Nearly seven years after its debut as a preview, the Visual Studio Code extension for Azure Machine Learning has hit general availability. "You can use your favorite VS Code setup, either desktop or ...