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In the news | InfoQ

Microsoft Releases DialogGPT AI Conversation Model 

November 26, 2019

Microsoft Research's Natural Language Processing Group released the dialogue generative pre-trained transformer (DialoGPT), a pre-trained deep-learning natural language processing (NLP) model for automatic conversation response generation. The model was trained on over 147M dialogues and achieves state-of-the-art results on several benchmarks.

In the news | InformationAge

How can organisations use data effectively, according to corporate VP at Microsoft Azure 

November 26, 2019

The largest enterprises have amassed an incredible amount of data from a variety of sources. But, the problem is identifying that data, accessing it and using that most precious asset effectively.

Graphic showing the components of the Icebreaker model
Microsoft Research Blog

Icebreaker: New model with novel element-wise information acquisition method reduces cost and data needed to train machine learning models 

November 25, 2019 | Cheng Zhang and Sebastian Tschiatschek

In many real-life scenarios, obtaining information is costly, and getting fully observed data is almost impossible. For example, in the recruiting world, obtaining relevant information (in other words, a feature value) for a company could mean performing time-consuming interviews. The…

Image showing rectangles of various sizes passing through a magic door and becoming same size to depict logarithmic mapping.
Microsoft Research Blog

Logarithmic mapping allows for low discount factors by creating action gaps similar in size 

November 21, 2019 | Harm van Seijen, Mehdi Fatemi, and Arash Tavakoli

While reinforcement learning (RL) has seen significant successes over the past few years, modern deep RL methods are often criticized for how sensitive they are with respect to their hyper-parameters. One such hyper-parameter is the discount factor, which controls how…

Sumit Gulwani on the Microsoft Research podcast
Microsoft Research Podcast

Program synthesis and the art of programming by intent with Dr. Sumit Gulwani 

November 20, 2019

Dr. Sumit Gulwani is a programmer’s programmer. Literally. A Partner Research Manager in the Program Synthesis, or PROSE, group at Microsoft Research, Dr. Gulwani is a leading researcher in program synthesis and the inventor of many intent-understanding, programming-by-example and programming-by-natural…

In the news | Search Engine Journal

Bing is Now Utilizing BERT at a Larger Scale Than Google 

November 19, 2019

Bing revealed today that it has been using BERT in search results before Google, and it’s also being used at a larger scale. Google’s use of BERT in search results is currently affecting 10% of search results in the US,…

In the news | Search Engine Land

Bing says it has been applying BERT since April 

November 19, 2019

Bing has been using BERT to improve the quality of search results since April, Microsoft has stated. The transformer models are now applied to every Bing query globally.

In the news | ZDNet

Here’s how Microsoft is looking to make search smarter and more natural 

November 19, 2019

Microsoft is continuing to evolve its unified Microsoft Search service. The latest pieces it is integrating into Microsoft Search involve its 'Project Turing' deep-learning work, as well as advances it is making around semantic meaning and intent. Microsoft Search, for…

In the news | Microsoft Azure Blog

Bing delivers its largest improvement in search experience using Azure GPUs 

November 18, 2019

Over the last couple of years, deep learning has become widely adopted across the Bing search stack and powers a vast number of our intelligent features. We use natural language models to improve our core search algorithm’s understanding of a…

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