Join Microsoft Research Cambridge to design analogue integrated CMOS circuits for the Analogue Optical Computer, advancing low power AI hardware with a multidisciplinary research team. The position is based at Microsoft Research Cambridge within the Future AI Infrastructure group. The role focuses on translating early…
The OneDrive and SharePoint (ODSP) Applied Science team is an interdisciplinary group of researchers and engineers driving AI innovation to transform how users remember, reason, act on their content and collaborate with others via Microsoft products. We are looking to hire several PhD candidates for…
Agents for Productivity (A4P) Our mission AI agents are becoming central to how people get work done, but today’s systems still fall short on reliability, context retention, and real world workflow execution. The Agents for Productivity (A4P) initiative advances the core research needed to enable…
Data Formulator is an AI-powered tool for analysts to iteratively explore and visualize data. Started with data in any format (screenshot, text, csv, or database), users can work with AI agents with a novel blended interface that combines user interface interactions (UI) and natural language…
The Tyger framework enables faster, more accessible medical imaging by streaming raw data to the cloud for accelerated reconstruction—reducing patient wait times and discomfort—while empowering researchers to rapidly test and deploy new algorithms.
Tool-space interference occurs when adding an otherwise reasonable agent or tool to a team or agent reduces end-to-end task performance. We study the phenomenon in an analysis of 1470 MCP servers and make practical suggestions for MCP client, server, and marketplace developers.
Microsoft’s free, open-source ElectionGuard tools enable voters to verify their votes were accurately counted without compromising privacy or trusting election equipment or personnel. New research eliminates the need for cryptographic keys, making the process far simpler and more practical for election administrators while preserving the…
Inspired by human collective cognition and neuroscience, we conducted two studies showing that a) multi-LLM architectures with mixed communication connectivity lead to better collaborative innovation (Artificial Life 2024), and b) brain-inspired multi-LLM architectures improve multi-step reasoning and planning and substantially reduce hallucination (Nature Communications 2025).
Using AI-generated virtual populations, Microsoft researchers uncovered hidden cellular patterns that could reshape how we understand and treat cancer.
The tumor immune microenvironment (TIME) critically impacts cancer progression and immunotherapy response. Multiplex immunofluorescence (mIF) is a powerful imaging modality for deciphering TIME, but its applicability is limited by high cost and low throughput. We propose GigaTIME, a multimodal AI framework for population-scale TIME modeling by…
What’s next in AI for 2026? Microsoft researchers share what they expect, from adaptive robotics to agent‑native economies. Explore the areas of innovation set to define the next chapter.
Agentic AI marks a shift from passive systems to active collaborators—AI agents that engage in sustained reasoning, understand complex multimodal environments, and interact naturally with humans over extended time and contexts. Our vision is to build intelligent systems that participate meaningfully in knowledge discovery, content…
