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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…

Awards | IEEE

Xing Xie elevated to IEEE Fellow 

November 23, 2021

Dr. Xing Xie was elevated to IEEE Fellow 2022 for his contributions to spatial data mining and recommendation systems. IEEE Fellow is a distinction reserved for select IEEE members whose extraordinary accomplishments in any of the IEEE fields of interest…

A line graph comparing the end-to-end performance of Meta’s MoE language model using Azure NDm A100 v4 VMs with and without Tutel. The x-axis is the number of A100 (80GB) GPUs, beginning at 8 and going up to 512, and the y-axis is the throughput (K tokens/s), beginning with 0 and going up to 1,000 in intervals of 100. Tutel always achieves higher throughput than fairseq.
Microsoft Research Blog

Tutel: An efficient mixture-of-experts implementation for large DNN model training 

November 22, 2021 | Wei Cui, Yifan Xiong, Peng Cheng, and Rafael Salas

Mixture of experts (MoE) is a deep learning model architecture in which computational cost is sublinear to the number of parameters, making scaling easier. Nowadays, MoE is the only approach demonstrated to scale deep learning models to trillion-plus parameters, paving…

Z-Code multilingual model

In the news | Microsoft Translator Blog

Multilingual translation at scale: 10000 language pairs and beyond 

November 22, 2021

Microsoft is on a quest for AI at Scale with high ambition to enable the next generation of AI experiences. The Microsoft Translator ZCode team is working together with Microsoft Project Turing and Microsoft Research Asia to advance language and…

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