Using Machine Learning Data to Achieve Sustainability, Performance and Governance Goals

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough.

A retired Microsoft engineer is training an AI to master Robotron: 2084, an incredibly difficult arcade game about a robot uprising

Even in this company, Robotron: 2084 is arguably the toughest challenge of all (and as with Defender was co-developed with Larry DeMar). Released in 1982, the game is a chaotic top-down twin stick ...
Visual Studio Magazine

Microsoft Launches Azure Skills Plugin to Give AI Coding Agents Real Azure Expertise

Microsoft's new Azure Skills Plugin bundles curated Azure skills, the Azure MCP Server, and the Foundry MCP Server into a single install that gives AI coding agents both the expertise and execution ...
IEEE

A Review of Machine Learning and Deep Learning Trends in EEG-Based Epileptic Seizure Prediction

Abstract: Epileptic seizures impair patients’ health and quality of life, and electroencephalography (EEG)-based prediction enables timely intervention. Early work on epileptic seizure prediction ...
Pure Xbox

Microsoft Has Explored Allowing AI & Other Xbox Players To Help Control Your Games

It's titled " STATE MANAGEMENT FOR VIDEO GAME HELP SESSIONS ", and the idea is Microsoft could use either a machine learning ...
Microsoft

Experiential Reinforcement Learning

Reinforcement Learning is at the core of building and improving frontier AI models and products. Yet most state-of-the-art RL methods learn primarily from outcomes: a scalar reward signal that says ...
Microsoft

How to use AI for learning languages

Learning a new language has always been exciting, but it can also feel intimidating. Many learners struggle with confidence, finding time to practice, or getting enough real‑world conversation ...