AWS has launched Kiro, a spec-driven, agentic AI IDE based on Visual Studio Code. It joins a growing lineup of VS Code forks ...

Two of the three offerings bring AI-assisted productivity to .NET and cross-platform app developers. Highlights include AI ...

VS Code’s June 2025 update supercharges GitHub Copilot with new chat customization tools, smarter inline completions, and an ...

The .NET MAUI team is pursuing a dream scenario where GitHub Copilot handles a straightforward issue all by itself with just ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

In what Microsoft called a “relatively small” release, .NET 6 Preview 6 delivered its biggest set of updates to ASP.NET Core and Blazor. New features include required component parameters, JavaScript ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

Back-propagation is the most common algorithm used to train neural networks. There are many ways that back-propagation can be implemented. This article presents a code implementation, using C#, which ...

Making Your Life Easier with C# Scripting Test projects give you a way to exercise your code to see if it works but they're also part of your project's "permanent record." If all you want to do is try ...

Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model, says Dr. James McCaffrey of Microsoft Research in presenting this ...

Test projects give you a way to exercise your code to see if it works but they're also part of your project's 'permanent record.' If all you want to do is try something out with some throwaway code, C ...

In-Depth All the Copilots: Microsoft Explains 'The Ecosystem Is Larger than You Think' Unfortunately, the exact number of AI Copilots unleashed on the world by Microsoft is apparently unknowable, like ...