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Awards | ACM SIGCOMM

ACM SIGCOMM 2021 Test of Time Award 

December 1, 2021

"Data-Center TCP (DCTCP)", by Mohammad Alizadeh, Albert Greenberg, David Maltz, Jitendra Padhye, Parveen Patel, Balaji Prabhakar, Sudipta Sengupta, and Murari Sridharan, in ACM SIGCOMM 2010.

Awards | The Top Innovators

The Top Innovators in Agriculture 2021 

December 1, 2021

Ranveer Chandra, Microsoft Azure, earns a "Highly Commended" rating on the Top Innovators in Agriculture list 2021 for Microsoft FarmBeats.

In the news | The Hill

How human-centered tech can beat COVID-19 through contact tracing 

December 1, 2021

The Centers for Disease Control and Prevention (CDC) is working on a proposal to massively scale-up testing and contact tracing to tackle the COVID-19 crisis. This effort will involve identifying all of those infected with the coronavirus and notifying everyone…

Articles

Why and how to test your ideas to ensure success 

November 30, 2021

We need to take a good hard look at the problems we’re solving before we get into solutioning. Yes, coming up with solutions is the interesting and exciting piece but once you’re on this path it’s very hard to turn…

In the news | Talking Beats

The American Health Apparatus and Public Health Transparency with Microsoft’s Dr. Jim Weinstein 

November 30, 2021

"As I scientist I ask-- where's the data on COVID vaccines? How many women, how many men, how many shots? Which arm? Did it cause their diabetes to get better? Did it affect their time off of work? What kind…

Awards | ICDM 2021

Wei Chen is awarded Highest Impact Paper Award at ICDM’2021 

November 30, 2021

Wei Chen was awarded the 2021 IEEE ICDM 10-Year Highest-Impact Paper Award for his paper, IRIE: Scalable and Robust Influence Maximization in Social Networks - Microsoft Research.

Awards | NeurIPS

Sébastien Bubeck and Mark Sellke awarded Outstanding Paper Award at NeurIPS 2021 

November 30, 2021

This year six papers were chosen as recipients of the Outstanding Paper Award. The committee selected these papers due to their excellent clarity, insight, creativity, and potential for lasting impact. Additional details about the paper selection process are provided below.…

An image generation model training using MVM. Images show a panda progressively being generated to become more realistic, various paintings generated by the model, an anime character generated to become more realistic, and various cat images generated to become more realistic.
Microsoft Research Blog

Unlocking new dimensions in image-generation research with Manifold Matching via Metric Learning 

November 29, 2021 | Mengyu Dai and Junwon Park

Generative image models offer a unique value by creating new images. Such images can be sharp super-resolution versions of existing images or even realistic-looking synthetic photographs. Generative Adversarial Networks (GANs) and their variants have demonstrated pioneering success with the framework…

In the news | MarTechPost

Microsoft Research Introduces ‘Tutel’: A High-Performance MoE Library To Facilitate The Development Of Large-Scale DNN (Deep Neural Network) Models 

November 24, 2021

Tutel is a high-performance MoE library developed by Microsoft researchers to aid in the development of large-scale DNN (Deep Neural Network) models; Tutel is highly optimized for the new Azure NDm A100 v4 series, and Tutel’s diverse and flexible MoE algorithmic…

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