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Microsoft Research Blog

AI for AI: Metareasoning for modular computing systems 

February 18, 2020 | Debadeepta Dey

A new document in a word processor can be a magical thing, a blank page onto which thoughts and ideas are put forth as quickly as we can input text. We can select words and phrases to underline and highlight…

AI vs. humans? Microsoft’s Eric Horvitz sees the future as AI-human partnership 

February 18, 2020

Microsoft Open-Sources Project Petridish for Deep-Learning Optimization 

February 18, 2020

Microsoft Research Blog

Turing-NLG: A 17-billion-parameter language model by Microsoft 

February 13, 2020 | Corby Rosset

This figure was adapted from a similar image published in DistilBERT. Turing Natural Language Generation (T-NLG) is a 17 billion parameter language model by Microsoft that outperforms the state of the art on many downstream NLP tasks. We present a…

Microsoft Research Blog

ZeRO & DeepSpeed: New system optimizations enable training models with over 100 billion parameters 

February 13, 2020 | DeepSpeed Team, Rangan Majumder, and Junhua Wang

The latest trend in AI is that larger natural language models provide better accuracy; however, larger models are difficult to train because of cost, time, and ease of code integration. Microsoft is releasing an open-source library called DeepSpeed, which vastly…

In the news | MSPowerUser

VROOM: Microsoft Research envisions a workplace filled with Telepresence Robots and AR headsets (video) 

February 13, 2020

Microsoft Research have posted a video on a project called VROOM for Virtual Robot Overlay for Online Meetings. Microsoft imagines users being able to visit locations via a telepresence robot and being represented remotely via an avatar which overlays the…

In the news | Future of Information and Communication Conference

Ecommerce Fraud Detection Through Fraud Islands and Multi-layer Machine Learning Model 

February 13, 2020

Main challenge for e-commerce transaction fraud prevention is that fraud patterns are rather dynamic and diverse. This paper introduces two innovative methods, fraud islands (link analysis) and multi-layer machine learning model, which can effectively tackle the challenge of detecting diverse…

photo of Dr. Pamela Bhattacharya for the Microsoft Research Podcast
Microsoft Research Podcast

Microsoft Scheduler and dawn of Intelligent PDAs with Dr. Pamela Bhattacharya 

February 12, 2020

In a world where productivity is paramount and only a handful of people have personal assistants, many of us are frustrated by the amount of time we spend in meetings, and worse, the amount time we spend planning, scheduling and…

In the news | Fortune

A.I. and tackling the risk of “digital redlining” 

February 11, 2020

Last week, a Dutch court ordered the government in the Netherlands to stop using a machine-learning algorithm for detecting welfare fraud, citing human rights violations. The system, called System Risk Indicator (SyRI) in English, was being used by four Dutch…

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