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14 articles
Learn about data retention in AI systems and why companies like Microsoft are restricting access to powerful AI models due to privacy concerns.
Learn about Linux operating systems and how Microsoft's new products are helping developers work more efficiently across different platforms.
This article explains token-based billing in AI services and how GitHub Copilot's new pricing model is causing controversy among developers.
Microsoft's threat of criminal prosecution against security researcher Nightmare Eclipse has sparked outrage in the cybersecurity community, raising concerns about responsible disclosure practices. The incident highlights a growing tension between corporate security policies and the ethical obligation to expose vulnerabilities for public safety.
This article explores how Microsoft's adoption of Claude Code illustrates the growing trend of enterprise AI integration, focusing on the mechanisms, implications, and cost structures of deploying AI tools within large organizations.
Learn about Microsoft's new Azure Linux 4.0, a specialized Linux distribution designed for cloud computing that works both on Azure servers and personal computers through Windows Subsystem for Linux.
Learn how to work with the OpenAI API using Python, including authentication, making API calls, and handling responses. This tutorial is essential for developers building AI-powered applications in the context of Microsoft's partnership with OpenAI.
Learn how to create and use AI models using Microsoft's Azure AI Studio, a key part of Microsoft's A$25 billion investment in Australia's digital future.
Microsoft has issued an emergency update to fix a critical ASP.NET vulnerability on macOS and Linux systems that could allow authentication bypass. The flaw, CVE-2024-21412, was flagged as a severe threat requiring immediate attention.
Learn what Microsoft VibeVoice is, how it uses AI to understand and generate human speech, and why it's important for the future of voice technology.
Learn how to use Microsoft Copilot in Word and Excel, including generating content, editing text, and customizing settings while understanding its limitations.
Learn how to use Microsoft's new Harrier-OSS-v1 multilingual embedding models to generate semantic embeddings and calculate similarity scores across multiple languages.
