Microsoft’s Azure-based AI development and deployment platform shines with a strong selection of models and agent types and ...

In supervised learning, a set of input variables, such as blood metabolite or gene expression levels, are used to predict a quantitative response variable like hormone level or a qualitative one such ...

Microsoft's relational database engine has had the same licensing model since 2012. The new version released this week brings significant changes that brings SQL Server closer to Azure SQL's licensing ...

Microsoft today announced the general availability of the open source Data API builder (DAB), which provides REST and GraphQL endpoints for Azure databases, some three years in the making. The ...

The OpenAPI specification, and the Swagger suite of tools built around it, make it incredibly easy for Python developers to create, document and manually test the RESTful APIs they create. Regardless ...

Amid the AI-heavy headlines at Microsoft's annual conference, several behind-the-scenes updates landed that could have a major impact on how IT teams build, run and scale core infrastructure in Azure.

Azure Machine Learning delivers a unified platform for building, deploying, and managing AI models, helping organizations operationalize AI at scale. From AutoML to advanced MLOps workflows, it ...

Java developers absolutely must learn Maven. Maven is the most popular and pervasive build tool in the Java world. Even if you don't use Maven directly, alternatives such as Gradle, Jenkins or Ivy ...

Microsoft Product Manager Mike Kistler previews his Visual Studio Live! session on how MCP servers give .NET developers a universal standard for connecting AI models to external data and tools -- and ...

Dive into The Register's online archive of incisive tech news reporting, features, and analysis dating back to 1998 ...

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