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C# ecosystem grows with ML.NET and local AI options

C# developers now have a range of tools to integrate machine learning, from ML.NET and TensorFlow.NET to Microsoft.Extensions.AI for unified API access. In parallel, step-by-step setups for running ...
Analytics Insight

How to Master Python for Data Science Fast (2026 Beginner Guide)

Overview Structured Python learning path that moves from fundamentals (syntax, loops, functions) to real data science tools ...
IEEE

Failure management in optical networks with ML: a tutorial on applications, challenges, and pitfalls [Invited]

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 ...
Neowin

Microsoft DirectML now supports Copilot+ PCs and WebNN

DirectML is a low-level API that enables developers to run machine learning workloads on any DirectX 12 compatible GPUs from AMD, Intel, and NVIDIA. It was first introduced in Windows 10, version 1903 ...
InfoWorld

How to work with Dapper and SQLite in ASP.NET Core

When developing database-driven .NET and .NET Core, regardless of the database we intend to deploy in the end, we will often want to work with a database engine that is lightweight and fast, in order ...
IEEE

A Review and Tutorial on Machine Learning-Enabled Radar-Based Biomedical Monitoring

Abstract: Radio detection and ranging-based (radar) sensing offers unique opportunities for biomedical monitoring and can help overcome the limitations of currently established solutions. Due to its ...