Microsoft Research

A tutorial on how to install Microsoft SEAL on Windows. See more at microsoft.com/en-us/research/project/microsoft-seal

For millions of patients across the US, hospitals use commercial risk scores to target those needing extra help with complex health needs.

A tutorial on how to install Microsoft SEAL on Linux and macOS. See more at microsoft.com/en-us/research/project/microsoft-seal

Mt. Rogers is a head-worn display with corresponding software to surround users with as many virtual monitors as they find useful. See more at aka.ms/mtrogers

Episode 79 |

Nancy Baym, principal research at Microsoft Research New England, was unable to attend the 2019 International Communications Association (ICA), where she was awarded the Frederick Williams Prize for

Contrary to popular belief, the modern Chinese economy did not spring into being in 1978 with Deng Xiaoping’s call for “Reform and Opening Up.” Rather, it was a product of an incremental, bottom-up

In recent years, the log-structured merge-tree (LSM-tree) has become the mainstream core data structure used by key-value stores to ingest and persist data quickly.

Fireside Chat with Peter Norvig and Eric Horvitz. See more at microsoft.com/en-us/research/videos/ai-distinguished-lecture-series

Microsoft researchers teamed up with designers at the Brooklyn Public Library’s BKLYN Fashion Academy to enhance the storytelling power of their garments using custom-made plug-and-play

Differential privacy is considered a de facto standard for private data analysis. However, the definition and much of the supporting literature applies to flat tables.

Episode 78 | May 29, 2019 Machine learning is a powerful tool that enables computers to learn by observing the world, recognizing patterns and self-training via experience. Much like humans.

The goal of Physics ∩ ML is to bring together researchers from machine learning and physics to learn from each other and push research forward together.

The goal of Physics ∩ ML is to bring together researchers from machine learning and physics to learn from each other and push research forward together.

Probabilistic Q-learning is a promising approach balancing exploration and exploitation in reinforcement learning.

Episode 77 | May 22, 2019 If you’re in software development, Dr. Tom Zimmermann, a senior researcher at Microsoft Research in Redmond, wants you to be more productive, and he’s here to help.

The goal of Physics ∩ ML is to bring together researchers from machine learning and physics to learn from each other and push research forward together.

Understanding why a machine learning model makes a certain prediction can be as crucial as the prediction's accuracy in many applications.

The Internet-of-things (IoT) enables us to connect our physical and digital worlds by embedding computing devices into the environment.

Visually Impaired Persons: What must be Understood to Assess and Assist.

Deep reinforcement learning methods are behind some of the most publicized recent results in machine learning.

Episode 76 | May 15, 2019 When was the last time you had a meaningful conversation with your computer… and felt like it truly understood you? Well, if Dr.

Generating robot action for interaction with people is not scalable without learning, but learning from scratch has too high sample complexity.

Innovations in machine learning are changing our perception of what is possible to do with a computer.

From robots to cars, virtual assistants and voice-controlled drones, computing devices are increasingly expected to communicate naturally with people and to understand the visual context in which

Direct interfaces with the brain provide exciting new ways to restore and repair neurological function.

The usability and practicality of machine learning are largely influenced by two critical factors: low latency and low cost.

Discussions online are integral to everyday life, affecting how we learn, work, socialize, and participate in public society.

Computer science as an academic discipline began in the 1960s. Emphasis was on programming languages, compilers, operating systems, and the mathematical theory that supported these areas.

Batch normalization (BatchNorm) is a widely adopted technique that enables faster and more stable training of deep neural networks.