Releases

Microsoft releases Phi-4 Mini, a compact long-context language model with multilingual and function-calling capabilities.

Microsoft Research and Xbox introduce Muse, a generative world and action model trained on gameplay sequences.

Microsoft and OpenAI update their partnership structure while preserving Microsoft rights to OpenAI intellectual property and Azure API exclusivity.

Microsoft Research publishes MatterGen, a generative model that designs stable inorganic materials conditioned on target properties.

Microsoft launches Microsoft 365 Copilot Chat with web-grounded AI chat, work-data access and support for agents.

Microsoft forms CoreAI – Platform and Tools under Jay Parikh, combining developer, AI platform, supercomputing and agent-runtime teams.

Microsoft says it is on track to invest approximately $80 billion during fiscal 2025 in AI-enabled datacenters for training models and deploying AI applications.

Microsoft releases Phi-4, a 14-billion-parameter small language model specializing in complex reasoning.

Microsoft begins previewing Copilot Vision, allowing Copilot to discuss and assist with shared browsing content.

Microsoft Research introduces BioEmu for efficiently sampling diverse protein conformational ensembles.

Microsoft begins releasing Recall to Windows Insiders on supported Copilot+ PCs after redesigning security and privacy controls.

Microsoft launches Azure AI Agent Service in preview for building and managing enterprise AI agents.

Microsoft introduces Azure AI Foundry as a unified platform for developing, evaluating, deploying and governing AI applications and agents.

GitHub introduces Spark, an AI-native tool for building application experiences from natural language.

Microsoft, BlackRock, Global Infrastructure Partners and MGX form an investment partnership to mobilize capital for AI datacenters and supporting energy infrastructure.

Microsoft releases Phi-3.5 Vision for multimodal image and text understanding.

Microsoft releases Phi-3.5 MoE, a mixture-of-experts small language model.

Microsoft releases Phi-3.5 Mini with multilingual support and a long context window.

GitHub launches Models in beta, letting developers compare and experiment with multiple AI models inside GitHub.

Microsoft Designer exits preview as a standalone app and expands generative design capabilities across Microsoft products.

The first Copilot+ PCs become generally available from Microsoft and hardware partners.

Microsoft releases Florence-2, a unified prompt-based vision model for captioning, grounding, detection and segmentation.

Microsoft changes Recall from broad Copilot+ PC availability to a Windows Insider preview while strengthening security and privacy protections.

Microsoft introduces Phi-3 Vision, a 4.2-billion-parameter multimodal model for image, chart, graph and table reasoning.

Microsoft expands Phi-3 with 7B Small and 14B Medium open models.

Microsoft releases Phi-3 Medium for higher-capability small-model workloads.

Microsoft Research introduces Aurora, a foundation model for weather and atmospheric forecasting across multiple environmental domains.

Microsoft introduces Phi Silica, an on-device small language model optimized for Windows neural processing units.

Microsoft announces Recall, an on-device searchable visual history for Copilot+ PCs with user privacy controls.

Microsoft introduces Copilot+ PCs with neural processing units and a new generation of on-device AI experiences.

GitHub opens a technical preview of Copilot Workspace, an agentic environment for moving from issues to plans and implementations.

Microsoft releases Phi-3 Mini, a 3.8-billion-parameter model designed for capable language and reasoning on constrained devices.

Microsoft invests $1.5 billion in G42 and expands a strategic partnership covering Azure, responsible AI, infrastructure and emerging-market deployments.

Security Copilot becomes generally available with integrations across Microsoft's security portfolio.

Microsoft enters an AI licensing arrangement with Inflection and hires Mustafa Suleyman, Karén Simonyan and members of the Inflection team to build Microsoft AI.

Microsoft forms the Microsoft AI organization focused on Copilot and consumer AI, appointing Mustafa Suleyman as EVP and CEO and Karén Simonyan as Chief Scientist.

Microsoft and NVIDIA expand integrations across Azure AI, NVIDIA NIM, Omniverse and enterprise generative-AI infrastructure.

GitHub launches Copilot Enterprise with codebase-aware assistance and GitHub.com integration.

Microsoft announces a multiyear partnership and €15 million investment in Mistral AI, bringing its models to Azure AI.

Microsoft releases Phi-2, a 2.7-billion-parameter small language model with strong reasoning and language performance.

Microsoft Copilot becomes generally available with commercial data protection for eligible users.

Microsoft Research releases Orca 2 in 7B and 13B sizes, training smaller models to use different reasoning strategies.

Microsoft introduces Maia 100, its first custom AI accelerator for Azure training and inference workloads.

Microsoft introduces Copilot for Azure to help customers design, operate and troubleshoot cloud infrastructure using natural language.

Microsoft launches Copilot Studio as the low-code platform for customizing Microsoft Copilot and building standalone copilots.

Microsoft renames Bing Chat and Bing Chat Enterprise to Microsoft Copilot and expands commercial data protection.

Microsoft 365 Copilot becomes generally available to enterprise customers across productivity applications and Microsoft 365 Chat.

Microsoft makes Azure AI Content Safety generally available for detecting harmful content in text and images.

Microsoft Research releases AutoGen, a framework for building applications with conversing and collaborating AI agents.

Microsoft and Nuance introduce DAX Copilot, combining ambient clinical intelligence with generative AI for automated documentation.