Releases

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.

Microsoft begins rolling out Copilot in Windows as part of a Windows 11 feature update.

Microsoft announces a unified Microsoft Copilot experience across Windows, web, Edge and Microsoft 365.

Microsoft Research releases Phi-1.5, a compact language model trained primarily on synthetic textbook-quality data.

Microsoft, Anthropic, Google and OpenAI establish the Frontier Model Forum to advance frontier-AI safety research, standards and responsible development.

Microsoft launches Bing Chat Enterprise with commercial data protection and announces Microsoft 365 Copilot pricing.

Microsoft Research introduces Phi-1, showing that curated textbook-quality data can produce strong code and reasoning performance in a compact model.

Microsoft Research introduces Kosmos-2, linking generated language to object regions in images through grounding.

Microsoft Research introduces Orca, a 13-billion-parameter model trained from rich explanation traces produced by larger models.

Microsoft announces a common plugin model spanning ChatGPT, Bing, Dynamics 365 Copilot and Microsoft 365 Copilot.

Microsoft introduces Security Copilot, a generative-AI assistant for security investigation, threat intelligence and response.

GitHub introduces Copilot X, including conversational Copilot Chat experiences across editors, pull requests and command-line workflows.

Microsoft launches Bing Image Creator, integrating generative image creation into Bing chat and the Edge sidebar.

Microsoft introduces Microsoft 365 Copilot and Business Chat, combining large language models with Microsoft Graph and productivity applications.

Microsoft introduces Dynamics 365 Copilot across sales, service, marketing, supply chain and business workflows.

Microsoft Research introduces Kosmos-1, a multimodal large language model capable of perceiving visual inputs and following language instructions.

Microsoft releases Semantic Kernel to help developers integrate language models, plugins, memory and planning into applications.

Microsoft launches a new AI-powered Bing and Edge with conversational search, synthesized answers and content generation.

Microsoft announces a multiyear, multibillion-dollar extension of its OpenAI partnership covering supercomputing, model deployment and Azure commercialization.

Microsoft makes Azure OpenAI Service generally available with enterprise access to OpenAI models through Azure.

Microsoft announces Designer, an AI-powered graphic-design application using generative image technology.

Microsoft publishes the second version of its Responsible AI Standard and supporting transparency materials.

GitHub Copilot becomes generally available to individual developers as a subscription product.

Microsoft releases the Responsible AI Dashboard, combining fairness, interpretability, error analysis and causal tools in one interface.

Microsoft completes its acquisition of Nuance, adding clinical speech recognition, ambient intelligence and conversational AI to its portfolio.

Microsoft releases DeBERTa V3 with replaced-token detection and gradient-disentangled embedding sharing.

Microsoft introduces Azure OpenAI Service, providing managed access to OpenAI models through Azure's enterprise cloud controls.

GitHub launches Copilot in technical preview as an AI pair programmer that suggests code inside the editor.

Microsoft agrees to acquire Nuance Communications for $19.7 billion including net debt, expanding its healthcare and conversational-AI capabilities.

Microsoft spins Xiaoice into an independent company while retaining an investment interest.

Microsoft Research introduces DeBERTa, improving Transformer language models with disentangled attention and enhanced mask decoding.

Microsoft open-sources DeepSpeed with the ZeRO optimizer to reduce the compute and memory cost of large-model training.

Microsoft introduces Turing-NLG, a 17-billion-parameter generative language model and, at the time, the largest published language model.

Microsoft organizes Project Turing to develop large language models shared across Bing, Office, Dynamics and Azure.

Microsoft invests $1 billion in OpenAI and becomes its exclusive cloud partner for new Azure AI supercomputing technologies.

Microsoft open-sources InterpretML for training interpretable models and explaining black-box predictions.