Deep neural networks (DNN) have recently achieved remarkable success in various fields. When training these large-scale DNN models, regularization techniques such as L2 Normalization, Batch Normalization, Dropout, etc. are indispensable modules to prevent model overfitting and improve model generalization. Among…
On December 11th, Microsoft Research Asia (MSR Asia) held the 2021 Theory Workshop, where theoretical research experts from academia and the industry came together to share their latest research results. At the workshop, MSR Asia announced the establishment of its…
| Marc Brockschmidt and Megan Stanley
The drug development process is an iterative one that consists of discovery, design, and testing. Historically, drugs were derived from plants and discovered through trial-and-error experiments. Fortunately, this drug discovery process now occurs in a lab, with each iteration of…
This is a guest post from our close partners, Semantic Machines By Zachary Tellman Conversational interfaces are an idea that is forever on the cusp of transforming the world. The potential is undeniable: everyone has innate, untapped conversational expertise. We…
How do you solve a problem like corruption? In this Societal Resilience case study, learn about our development of data tools that could bring new levels of transparency to public procurement data, building on collaborations with the World Bank and…
In the news | Machine-learning system flags remedies that might do more harm than good
The system could help physicians select the least risky treatments in urgent situations, such as treating sepsis.
Awards | Microsoft Global Hackathon 2021
Kenji Takeda won either 1st, 2nd, or 3rd place in the Microsoft Global Hackathon 2021 Executive Challenge. The Hackathon Executive Challenges are sponsored by Microsoft leaders in strategic business areas.
In the news | Microsoft ALT Innovation
Learn how the Watch For platform leverages deep-learning, computer vision, and high efficiency AI infrastructure to identify interesting moments in video content. Presented by Weishung Liu, Senior Program Manager, from Microsoft Research, Redmond.
| Miltos Allamanis and Marc Brockschmidt
Finding and fixing bugs in code is a time-consuming, and often frustrating, part of everyday work for software developers. Can deep learning address this problem and help developers deliver better software, faster? In a new paper, Self-Supervised Bug Detection and…