Microsoft Research

In our recent PNAS paper we demonstrate that large language models produce little variation in generated narratives. Compared to those generations, a human-written narrative is usually Sui Generis, i.

Speaker: Stefan Saroiu, Partner Researcher, Microsoft This talk presents the work done over the past six years as part of Project STEMA at Microsoft.

The video introduces MindJourney, a framework that enhances Vision-Language Models (VLMs), which excel at interpreting single images but struggle to infer the underlying three-dimensional world.

The Medical Bayesian Kiosk was an exploratory demonstration developed by Dan Bohus and Eric Horvitz that merged advances from Microsoft Research’s Situated Interaction (

Former Washington State Secretary of Health Dr. Umair Shah and Mayo Clinic CEO Dr.

Dasha Metropolitansky, Research Data Scientist, Microsoft Research Special Projects, introduces VeriTrail, a new method for closed-domain hallucination detection in multi-step AI workflows.

In this talk, Dr. Laschowski will present his research on the development of new mathematical, computational, and machine learning models to reverse-engineer and/or interface with the brain.

Virtual 3D meetings offer the potential to enhance copresence, increase engagement and thus improve effectiveness of remote meetings compared to standard 2D video calls.

Sumit invites us into the story behind his stories—a journey of vulnerability, wonder, and deep human connection.

August 22, 2024 Speakers: Shivam Mehta Host: Hannes Gamper We investigate the use of low bitrate causal quantized audio representations to fine-tune large language models (LLMs) using LoRA for

Modern language models have achieved remarkable capabilities in English, but human knowledge and experience span thousands of languages, each encoding unique perspectives and problem-solving

Next-generation physicians Morgan Cheatham and Daniel Chen discuss how generative AI is transforming medical education, exploring how students and attending physicians integrate new tools while

The state of the art in human-centric computer vision achieves high accuracy and robustness across a diverse range of tasks.

In the series finale, Amanda Craig Deckard returns to examine what Microsoft has learned about testing as a governance tool.

In this talk, we explore advancements in computational models for speech quality assessment. Self-supervised learning models have emerged as powerful front-ends, outperforming supervised-only models.

Drawing on his previous work as the UK’s cybersecurity chief, Professor Ciaran Martin explores differentiated standards and public-private partnerships in cybersecurity, and Microsoft’s Tori

Following the sequence and structure revolutions, predicting functionally relevant protein structure changes at scale remains an outstanding challenge.

Daphne Koller, Noubar Afeyan, and Dr.

Discover how the Microsoft AI Economy Institute is advancing research that will help shape the future of AI in society.

Professors Daniel Carpenter and Timo Minssen explore evolving pharma and medical device regulation, including the role of clinical trials, while Microsoft applied scientist Chad Atalla shares where

What can human-AI interaction research learn from the practices of fundi wa simu (phone repair technicians)?

In this episode, Alta Charo, emerita professor of law and bioethics at the University of Wisconsin–Madison, joins Sullivan for a conversation on the evolving landscape of genome editing and its

In the introductory episode of this new series, host Kathleen Sullivan and Senior Director Amanda Craig Deckard explore Microsoft’s efforts to draw on the experience of other domains to help advance

This talk presents Precio, a secure aggregation system for computing layered histograms and sums over secret shared data in a client-server setting.

Kim Laine presents a novel reputation system called Sandi, which aims to create trust between two otherwise distrusting parties.

Density Functional Theory (DFT) is the workhorse method in chemistry and physics for predicting the formation and properties of molecules and materials.

In Density Functional Theory, the exchange correlation functional captures the complex relationship between its input—the electron density — and its output: the exchange-correlation energy.

In this video, Microsoft’s Chris Bishop, Technical Fellow and Director of Microsoft Research AI for Science, explains how Microsoft researchers achieved a breakthrough in the accuracy of density

In this fireside chat, Shrey Jain, Product Lead of the Healthcare Agent Orchestrator, joins Eric Horvitz, Chief Scientific Officer at Microsoft, to explore how AI agents are revolutionizing

Technologists Bill Gates and Sébastien Bubeck discuss the state of generative AI in medicine, how access to “medical intelligence” might help empower people across healthcare, and how AI’s