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Microsoft Research Blog

Building a global AI supercomputer – The 2018 Microsoft Research Faculty Summit 

July 18, 2018 | Donald Kossmann

We live in the age of the intelligent edge and intelligent cloud. Data is collected at the edge using billions of small devices. The data is pre-processed at the edge and shipped in a filtered and aggregated form to the…

Fair classification
Microsoft Research Blog

Machine Learning for fair decisions 

July 17, 2018 | Miro Dudík, John Langford, Hanna Wallach, and Alekh Agarwal

Over the past decade, machine learning systems have begun to play a key role in many high-stakes decisions: Who is interviewed for a job? Who is approved for a bank loan? Who receives parole? Who is admitted to a school?…

Microsoft, Walmart enter multi-year AI deal to take on Amazon 

July 17, 2018

In the news | Microsoft Research Blog

Machine Learning for fair decisions 

July 17, 2018

New research focuses on the challenges of machine learning biases, and provides a provably and empirically sound method for turning any common classifier into a 'fair' classifier according to any of a wide range of fairness definitions.

Articles

MSRA COLLABORATIVE RESEARCH 2019 CALL FOR PROPOSALS 

July 16, 2018

Today, we are pleased to announce MSRA Collaborative Research 2019 Call For Proposals. The goal is to invite faculty members or researchers in Asia to propose any Open Collaborative Research topics related to current Microsoft research areas to advance the…

In the news | The Register

Microsoft’s TextWorld gives AI a Zork-like challenge 

July 16, 2018

While the rest of the Microsoft world squeaked with excitement about new hardware and free collaboration tools, the boffins at Redmond's Montréal Research Lab have looked to history as way to help Reinforcement Learning (RL) researchers skill up their AI…

Microsoft’s AI for Earth Innovation Grant gives data scientists access to AI tools 

July 16, 2018

Microsoft Research Blog

New perspectives on contextual bandit 

July 13, 2018 | Sébastien Bubeck

What is the common denominator between the following situations: a doctor choosing among different drugs for a sequence of patients; a website selecting ads for its visitors based on the information it has about them; and a travel agency making…

In the news | SiliconANGLE

Microsoft’s new TextWorld framework generates games to train AI models 

July 13, 2018

TextWorld enables researchers to define how games should play out by providing high-level specifications. It also lets researchers use existing, human-written games to create an even more challenging training environment.

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