Advanced machine learning research, grounded in trust, efficiency, capability. The Machine Intelligence team at MSR Cambridge (UK) is dedicated to foundational machine-learning research, guided by the principles of responsible AI, collaboration, and scientific excellence. Our work is grounded in trust, capability, and efficiency, and we…
Developing knowledge, model capabilities, and experiences that centre human values. People-Centric AI develops knowledge, model capabilities, and experiences that enable human agency and skill, support creativity and collaboration, and ensure equitable representation and participation. We do this by blending research disciplines, design, and engineering. A…
Innovative hardware and systems for sustainable and efficient AI infrastructure Our mission in Future AI Infrastructure is to co-design the next generation of hardware and systems for Microsoft’s AI and Cloud datacenters—spanning storage, networking and compute, and other foundational technologies for our AI stack. We…
Abstract: Large Language Models (LLMs) have achieved remarkable breakthroughs, yet their growing integration into humans' everyday life raises important societal concerns. Incorporating diverse human values into these powerful generative models is critical for enhancing AI safety, respecting cultural and individual values, and potentially boosting the…
Promptions is a simple, flexible dynamic prompt middleware technique for AI that uses ephemeral UI. From a single, simple prompt, the system helps users steer the AI by suggesting parameterized choices as dynamically generated, ephemeral UI components. As users click on choices, the same output updates immediately—not just…
Promptions (“Prompt” plus “options”) dynamically generates UI to help users steer AI responses more effectively. It’s simple, effective, and easily customizable, making it suitable for developers from individual vibe-coders to enterprise software engineers.
New research explores two ways to give AI agents stronger privacy safeguards grounded in contextual integrity. One adds lightweight, inference-time checks; the other builds contextual awareness directly into models through reasoning and RL.
At MSR Cambridge we are creating the future of AI infrastructure by tackling ambitious challenges and developing disruptive technologies for Microsoft's Cloud and AI platforms. Our multidisciplinary research team spans computer systems, AI, and hardware, allowing us to take a full-stack approach: from the models to…
Drive innovation at Microsoft Research Cambridge by joining a world-class team pioneering breakthroughs in robotics and AI infrastructure. Collaborate across disciplines to develop impactful solutions for datacenter automation and next-generation intelligent systems. Work alongside leading experts, leverage state-of-the-art technology, and contribute to projects that shape…
Drive innovation at Microsoft Research Cambridge by joining a world-class team pioneering breakthroughs in robotics and AI infrastructure. Collaborate across disciplines to develop impactful solutions for datacenter automation and next-generation intelligent systems. Work alongside leading experts, leverage state-of-the-art technology, and contribute to projects that shape…
Microsoft Research Cambridge (UK) is seeking an intern with experience in multi-media design to join an innovative research project at the intersection of artificial intelligence, creativity, and human experience. The successful candidate will design envisionments – such as storyboards or videos – that showcase how people…
Fellows are Optica members who have served with distinction in the advancement of optics and photonics. Francesca was elected for her pioneering contributions to the field of high-speed optical communications and optical signal processing.
