Artificial Intelligence
Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.
Project
Project Roma
Deterministic security for AI agents AI agents perform consequential actions while processing data from various sources, including trusted collaborators and the public Web. It is crucial that AI agents handle this data with care: confidential…
Podcast
Reimagining healthcare delivery and public health with AI
Former Washington State Secretary of Health Dr. Umair Shah and Mayo Clinic CEO Dr. Gianrico Farrugia explore how healthcare leaders are approaching AI when it comes to public health, care delivery, the healthcare-research connection, and…
Microsoft Research Blog
Self-adaptive reasoning for science
Microsoft is pioneering a vision for a self-adapting AI system that can adapt to the dynamic nature of scientific discovery, promoting deeper, more refined reasoning in complex scientific domains.
Project
Understanding our relationships with AI
The goal of this project is to understand the broad phenomenon of how people relate to AI, how they make sense of what it is, what it can do, what it might be; what kinds…
Video
VeriTrail: Detect hallucination and trace provenance in AI workflows
Dasha Metropolitansky, Research Data Scientist, Microsoft Research Special Projects, introduces VeriTrail, a new method for closed-domain hallucination detection in multi-step AI workflows. Unlike prior methods, VeriTrail provides traceability: it identifies where hallucinated content was likely…
Microsoft Research Blog
Project Ire autonomously identifies malware at scale
Designed to classify software without context, Project Ire replicates the gold standard in malware analysis through reverse engineering. It streamlines a complex, expert-driven process, making large-scale malware detection faster & more consistent.
Microsoft Research Blog
VeriTrail: Detecting hallucination and tracing provenance in multi-step AI workflows
VeriTrail, new from Microsoft Research, can detect AI-generated content that is not supported by the source text, trace the provenance of content from final output back to the source, and locate where errors were likely…
Project
Project Ire
Autonomous malware classification Project Ire is an LLM-powered autonomous malware classification system. For inquiries, please direct mail to: ireinquiries@service.microsoft.com