Microsoft Research

Image analysis is fundamental for clinical diagnostics and biomedical discovery.

Speakers: Sang Ho Yoon Host: Michel Pahud The advancement in sensor/actuator hardware has enabled the development of wearable interfaces for AR/VR beyond.

Speakers: Elisabeth Heremans Host: Ivan Tashev Accurately estimating cognitive workload is essential for adaptive learning in pilot training, allowing flight simulation tasks to be tailored to

We tackle the problem of highly-accurate, holistic performance capture for the face, body and hands simultaneously.

We present a method for prediction of a person’s hairstyle from a single image.

Data Formulator is a research prototype tool that enables users to iterate with AI to create rich data visualizations.

Pretraining is the preliminary and fundamental step in developing capable language models (LM).

AI is already helping healthcare organizations drive innovation and efficiency gains.

Multimodal models hold the key to unprecedented advances in AI, moving beyond text and numbers to incorporate a much wider spectrum of inputs.

The value of data has never been higher—it has become an essential driver of business decisions and it is critical for deploying AI successfully.

Technology solutions for accessibility have long been created using a narrow utilitarian lens, especially in the Global South due to multi-dimensional challenges and resource constraints—an emphasis

Eric Horvitz, Chief Scientific Officer of Microsoft, delivers the 2024 Gilbert S.

Mihaela Vorvoreanu, Director UX Research and Responsible AI Education, Microsoft Aether, discusses reliance on AI. Because of their probabilistic nature, all AI systems will make mistakes.

Kevin Yang, Senior Researcher, Microsoft Research New England, shares how deep learning is enabling us to generate novel and useful biomolecules, allowing researchers and practitioners to better

Megan Stanley, Senior Researcher, Microsoft Research AI for Science, talks about Aurora, a cutting-edge foundation model that offers a new approach to weather forecasting that could transform our

Corby Rosset, Senior Researcher, Microsoft Research AI Frontiers, discusses teaching language models to self-improve using a preference oracle like GPT-4, framing it as a two-player game to find an

Francesca Parmigiani and Jiaqi Chu, researchers at Microsoft Research Cambridge, discuss a new kind of computer – an analog optical computer – that has the potential to accelerate AI inference and

Microsoft researchers discuss the transformative potential and core challenges of multimodal models across various domains, including precision health, game intelligence, and foundation models.

Jianfeng Gao, Distinguished Scientist and Vice President in Microsoft Research Redmond, introduces Phi-3-Vision, an advanced and economical open-source multimodal model.

Patients need reliable health information, but the digital age overwhelms them with excess and often inaccurate information.

Speaker: Torsten Hoefler Host: Karin Strauss Machine learning presents a great opportunity for Climate simulation and research.

Speaker: Benjamin Stahl Host: Hannes Gamper In this talk, we explore advancements in computational models for speech quality assessment.

Pascal O. Zinn, MD, PhD, FAANS Dr. Zinn will discuss his experience leveraging state-of-the-art techniques for decoding the human brain during awake surgeries and complex brain tumor removals.

This seminar was hosted by Microsoft Research Africa, Nairobi together with the Microsoft AI for Good team in July 2024.

AgriAdvisor is a pilot demo created in collaboration with TomorrowNow.org, Tomorrow.io and Kenya Agriculture and Livestock Research Organisation (KALRO).

Demand-driven resource allocation for cloud databases has become a popular research direction. Recent approaches have evolved from reactive policies to proactive decision making.

Speaker: Dr.

This seminar was hosted by Microsoft Research Africa, Nairobi together with the Microsoft AI for Good team in May 2024. User-generated content (UGC), e.g.

Jacki O'Neill, Lab Director of Microsoft Research Africa, Nairobi, discusses the importance of creating globally equitable generative AI.

Adam Fourney discusses the effectiveness of using multiple agents, working together, to complete complex multi-step tasks.