Microsoft Research

Query plans are typically selected based on coarse-grained data statistics and simplifying cost and cardinality models.

I used to think that creating a product from a research paper was a linear process.

Episode 004 | August 04, 2020 The process of software development is dramatically different today compared to even a few years ago.

Starting July 1st 2020, we are holding a competition on sample-efficient reinforcement learning using human priors as a part of NeurIPS 2020 competition track.

Neural architecture search (NAS)—the problem of selecting which neural model to use for your learning problem—is a promising direction for automating and democratizing machine learning.

The Microsoft Urban Futures Summer Workshop was three intensive days of talks, discussion, and planning for data-driven urban transformation.

The Microsoft Urban Futures Summer Workshop was three intensive days of talks, discussion, and planning for data-driven urban transformation.

The Microsoft Urban Futures Summer Workshop was three intensive days of talks, discussion, and planning for data-driven urban transformation.

This video accompanies our accepted paper for the New Future of Work Symposium 2020.

Realtime perceptual and interaction capabilities in mixed reality require a range of 3D tracking problems to be solved at low latency on resource-constrained hardware such as head-mounted devices.

How Work From Home Affects Collaboration: A Large-Scale Study of Information Workers in a Natural Experiment During COVID-19 This video accompanies our accepted paper for the New Future of Work

This video accompanies our accepted paper for the New Future of Work Symposium 2020.

This video accompanies our accepted paper for the New Future of Work Symposium 2020.

This video accompanies our accepted paper for the New Future of Work Symposium 2020.

This video accompanies our accepted paper for the New Future of Work Symposium 2020.

This video accompanies our accepted paper for the New Future of Work Symposium 2020.

This video accompanies my accepted paper for the New Future of Work Symposium 2020.

Tackling online attacks targeting certain individuals, groups of people, or communities is a major modern-day web challenge.

Machine learning has enabled many advances in processing visual, language, and other digital data signals and, as a result, is quickly becoming integrated in a variety of real-world systems with

Microsoft has made an ambitious commitment to remove its carbon footprint in response to the overwhelming urgency of addressing climate change.

Modern machine learning applications have enjoyed a great boost utilizing neural networks models, allowing them to achieve state-of-the-art results on a wide range of tasks.

This session is about Saving Lives Using Interpretable Machine Learning in HealthCare. It’s critical to make sure healthcare models are safe to deploy.

As Machine Learning (ML) systems are increasingly becoming part of user-facing applications, their reliability and robustness are key to building and maintaining trust with users and customers

Causal relationships are stable across distribution shifts.

At its core, machine learning is the artful science of statistically divining patterns from stores of data—typically, lots of data.

In the recent years, Machine Learning (ML) has facilitated key applications, such as medical imaging, video analytics, and financial forecasting.

Susan Dumais, Technical Fellow & Managing Director Microsoft Research New England, New York City and Montreal Katja Hofmann, Principal Researcher Microsoft Research Cambridge Learning to Adapt

Fireside Chat with Christopher Bishop, Technical Fellow and Lab Director of Microsoft Research Cambridge and Peter Lee, Corporate Vice President of Microsoft Research & Incubation.

This Virtual PhD Event will bring together the PhD students funded through the Optics for the Cloud Research Alliance and their academic and Microsoft supervisors with Research Alliance members and

This Virtual PhD Event will bring together the PhD students funded through the Optics for the Cloud Research Alliance and their academic and Microsoft supervisors with Research Alliance members and