Data Formulator: Vibe with your data, in control
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…
Accelerating MRI image reconstruction with Tyger
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: An emerging problem for LLM agents
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…
A brain-inspired agentic architecture to improve planning with LLMs
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…
GigaTIME: Scaling tumor microenvironment modeling using virtual population generated by multimodal AI
Using AI-generated virtual populations, Microsoft researchers uncovered hidden cellular patterns that could reshape how we understand and treat cancer.
Cambridge Residency Programme – Post-Doctoral Researcher in Machine Learning – People-Centric AI
We are seeking a Machine Learning Researcher candidate for our Cambridge Residency Programme in the area of People-Centric AI at Microsoft Research Cambridge (UK). People-Centric AI is a multi-disciplinary effort to develop knowledge, model capabilities, and…