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r-drop
Articles

R-Drop: A simple and effective regular method to correct the defects of Dropout 

December 13, 2021

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…

MSR asia theory center
Articles

Microsoft Research Asia Establishes Theory Center to Strengthen Theoretical Foundation of AI 

December 12, 2021

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…

Diagram shows The role of computational modelling in the early-stage drug-discovery process. Following target identification and the screening of many molecules to identify possible candidates, the process of optimization can occur by human-led cycles of synthesis and testing in the laboratory. However, if computational modelling is used, most molecules are tested in silico, and it becomes necessary to synthesize and test only a small fraction of the candidate molecules. Just as with in vitro testing, in silico testing must be followed by clinical trials before the drug reaches the market.
Microsoft Research Blog

FS-Mol: Bringing Deep Learning to Early-Stage Drug Discovery 

December 10, 2021 | 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…

Articles

Designing a Framework for Conversational Interfaces 

December 9, 2021

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…

Scatterplots representing time-varying behavior
Articles

Revealing the Hidden Structure of Corruption 

December 9, 2021

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

MIT Homepage: Machine-learning system flags remedies that might do more harm than good 

December 9, 2021

The system could help physicians select the least risky treatments in urgent situations, such as treating sepsis.

Awards | Microsoft Global Hackathon 2021

Microsoft Microsoft Global Hackathon 2021 Challenge Winner 

December 9, 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

Tech Minutes: Watch For 

December 9, 2021

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.

Diagram of BugLab
Microsoft Research Blog

Finding and fixing bugs with deep learning 

December 8, 2021 | 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…

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