We recently welcomed Accelerating Foundation Models Research Minority Serving Institutions grant recipients to Microsoft headquarters. The program provides access to leading-edge models and Azure services to conduct meaningful, impactful research on AI.
Simplifying secure decision tree training; Improving accuracy of audio content detection; A novel neurosymbolic system for converting text to tables; New video series: AI for Business Transformation; TEE security protections for container workloads:
AI foundation models are shaking up research, making breakthroughs in weather forecasting, materials design, and drug development faster than ever.
Learn about how these tools are pushing the boundaries and shaping the future of research:
Congrats to Frank Noé, Partner Research Manager at Microsoft Research AI for Science, on being named an APS Fellow! His groundbreaking work in machine learning is redefining how AI and physics come together to tackle major scientific problems.
We are excited to announce a preview of the new architecture of AutoGen (coming in v0.4).
To learn more, see
Blog:
Pull request:
Come help us shape the future of AutoGen!
Data Formulator investigates combining UI interactions with natural language input. Powered by AI, it can help users create or adapt visualizations and supports continuous refinement through an iterative process. Now available on GitHub:
RadEdit stress-tests biomedical vision models by simulating dataset shifts through precise image editing. It uses diffusion models to create realistic, synthetic datasets, helping to identify model weaknesses and evaluate robustness:
Microsoft’s Peter Lee explores generative AI as a revolutionary reasoning tool, capable of improving data analysis, clinician well-being, and patient care.
Find My Things, a personalizable object recognition feature in the Seeing AI app, was recently honored in the accessible design & AI categories of Fast Company’s design awards. In “Abstracts,” learn about the tech & community participation behind it:
Register today to learn more about our groundbreaking collaboration with industry leaders, our vision for hybrid supercomputing, and the real impact quantum and AI will have on global innovation.
Thank you to the global research community for joining us at Microsoft Research Forum this year. Explore Phi-3-Vision, new benchmarks, the future of multimodal models and more in Episode 4.
Watch all episodes on-demand and register for future episodes:
Our Undergraduate Research Internship Program is now accepting applications for summer research internships. Rising college juniors & seniors who are passionate about technology and champion diversity and inclusion are encouraged to apply by 10/21:
New research to improve time series forecasting and large-scale information retrieval; A heuristic-guided RL-based approach for data-driven and workload-aware scheduling; Apply now: Microsoft Research Undergrad Internship Program – Summer 2025:
Data has never been more abundant. Harnessing it with AI is increasingly essential for informing business decisions. AI research leaders Peter Lee & Vijay Mital explore how AI can maximize that value and how to prepare for the waves of innovation to come:
Multimodal models can drive unprecedented advances in AI, moving beyond text and numbers to a much wider spectrum of inputs. AI research leaders Peter Lee and Vijay Mital discuss how a new generation of models can open new opportunities for businesses:
The healthcare industry has been an early mover in exploring emerging AI capabilities. AI research leaders Peter Lee and Vijay Mital discuss how Microsoft is helping, and how the lessons from healthcare could apply across many other industries.
How can we rigorously evaluate and understand state-of-the-art progress in AI? Eureka is an open-source framework for standardizing evaluations of large foundation models, beyond single-score reporting and rankings. Learn more about the extended findings.
Investigating vulnerabilities in LLMs; A novel total-duration-aware (TDA) duration model for text-to-speech (TTS); Generative expert metric system through iterative prompt priming; Integrity protection in 5G fronthaul networks.