Expanding Flows for Fast and Flexible Generation Beyond the Fixed Canvas

Microsoft AI for Good Lab - Introduction to HASTE

Learning Genetic Perturbation Effects at Single-Cell Resolution for Virtual Cells

Convergence Analysis for Fast High-Order ODE Solvers in Diffusion Probabilistic Models

Human-Centered AI: Design, Deployment & Healthcare

Panel: Is Retrieval Relevant in the Age of Reasoning?

Session on Inclusive AI: Data, Models, Evaluation

Multimodal & Embodied Intelligence (S2)

The Policy Layer that Governs Africa’s Algorithmic Ecosystem

Plenary Talk 3​: Challenges and research opportunities for global hyperscale services

Session on Compute & Trust (Security)

Session on Retrieval

Session on Reasoning

Multimodal & Embodied Intelligence (S1), Panel on Multimodal AI: Progress, Pitfalls, Possibilities

Session: Compute & Trust (Systems)

Reinforce Adjoint Matching: Scaling Diffusion RL

Welcome Session - Microsoft Research India Academic Summit 2026

Plenary Talk 2: Reimagining Education and Skilling for the Age of AI: Challenges & Opportunities

Provable Security and Privacy Analysis of WPA3’s SAE and SAE-PK Protocol

Plenary Talk 4: Aging Brain Research: Challenges and Opportunities

Plenary Talk 1: Navigating the AI Horizon: Promises, Perils, and the Power of Collaboration

Full Stack Greenfield Projects : Are they still relevant?

Inferring Unobserved Trajectories from Multiple Temporal Snapshots

Rare event analysis via stochastic optimal control

De novo Generation for Molecular Structure Elucidation from Mass Spectrometry

Constrained Generative AI for Materials Inverse Design

Emerging Hardware Acceleration for Fully Homomorphic Encryption

A non-Markovian approach to diffusion-based sampling

Extending measure dynamics beyond generative modeling

Where the Score Lives: What Wavelets Reveal About Diffusion Models

Q-learning with Flow-Matching Policies

Wavefunction Flows: Efficient Quantum Simulation of Continuous Flow Models

Matching features, not tokens: Energy-based fine-tuning of language models

Designing Dynamic Measure Transport for Sampling

Physics and information theory of generative diffusion

A Unified Approach to Analysis and Design of Denoising Markov Models

Blind denoising diffusion models and the blessings of dimensionality

Data-Driven Discovery and Verification of Singularities in Nonlinear Partial Differential Equations

Generative AI for High-Stakes Decision-Making with Applications in One Health

Meta Flow Maps

Generative Models for Molecular Dynamics Across Timescales

Tractable Mapping Entropy and Generative Backmapping via Split-Flows

New tools, models, repos, and papers out of Microsoft Research are here.

New tools, models, repos, and papers out of Microsoft Research are here.

Guiding the AI disruption to the Good Place

New fine-tuning of language models: Match meaning, not tokens

Introducing Interwhen: Steering reasoning agents with real-time verification

Introducing GitHub Agentic Workflows: AI that runs your repo

MagenticLite: A full-stack agentic experience powered by Small Models

Microsoft Research Forum | Season 2, Episode 4

Language-Agnostic Detection of Bugs in Zero-Knowledge Proof Programs

Language & Voice AI for Africa: From Data to Deployment and Impact

Storycaster: An AI System for Immersive Room-based Storytelling (CHI 2026)

Can we AI our way to a more sustainable world?

Microsoft Transforms its Cloud Supply Chain with Optimization and Generative AI

Ideas: Steering AI toward the work future we want

Will machines ever be intelligent?

CROSS — Leveraging AI ASICs for Homomorphic Encryption

Efficient Distributed Orthonormal Optimizers for Large-Scale Training

Bridging Neurotechnology with Immersive Systems: Getting BCIs outside of the lab?