Releases

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.

Microsoft open-sources ONNX Runtime as a cross-platform high-performance inference engine.

Microsoft agrees to acquire GitHub for $7.5 billion in stock, bringing the developer platform that later launched GitHub Copilot into Microsoft.

Microsoft acquires conversational-AI startup Semantic Machines to advance more natural, context-aware dialogue systems.

Microsoft releases the first public preview of ML.NET, bringing cross-platform machine learning to .NET developers.

Microsoft researchers introduce Fairlearn to assess and mitigate unfairness in machine-learning systems.

Microsoft and Facebook introduce the Open Neural Network Exchange format to improve model interoperability across AI frameworks.

Microsoft introduces Project Brainwave, an FPGA-based architecture for real-time deep-learning inference in cloud and edge systems.

Microsoft launches Seeing AI, an accessibility application that narrates people, text, products and surroundings for blind and low-vision users.

Microsoft creates the AI and Research Group, combining research, information-platform and AI product teams under Harry Shum.

Microsoft launches Cognitive Services APIs for adding vision, speech, language, knowledge and search capabilities to applications.

Microsoft takes the Tay social chatbot offline after coordinated abuse caused it to produce offensive content, prompting a public review of safeguards and social-AI deployment.

Microsoft releases its Computational Network Toolkit under an open-source license for deep neural-network training.

Microsoft makes Azure Machine Learning generally available as a cloud platform for creating and deploying predictive models.

Microsoft launches Xiaoice, a social conversational AI designed for long-term, emotionally engaging interactions.

Microsoft introduces Cortana as a personal digital assistant for Windows Phone, later expanding it across Windows and Microsoft 365.

Microsoft establishes Microsoft Research to pursue long-term computer-science research, including speech, vision, machine learning and artificial intelligence.