Microsoft Research Blog

Deliberation Network: Pushing the frontiers of neural machine translation 

December 6, 2017 | Fei Tian
During the Tang dynasty of China, which lasted from 618 to 907, the poet Jia Dao was known for polishing his poems over and over to make them better and better. One famous story describes how he deliberated over two lines of a poem that…

Recent Posts

  1. Will machines one day be as creative as humans? 

    December 4, 2017 | Sebastian Nowozin

    Recent methods in artificial intelligence enable AI software to produce rich and creative digital artifacts such as text and images painted from scratch. One technique used in creating these artifacts are generative adversarial networks (GANs). Today at NIPS 2017, researchers from Microsoft Research and ETH…

  2. FigureQA

    FigureQA: an annotated figure dataset for visual reasoning 

    November 17, 2017

    Reasoning about figures Almost every scientific publication is accompanied by data visualizations in the form of graphs and charts. Figures are an intuitive aid for understanding the content of documents, so naturally, it is useful to leverage this visual information for machine reading comprehension. To enable…

  3. Microsoft extends AirSim to include autonomous car research 

    November 13, 2017 | Ashish Kapoor and Shital Shah

    Earlier this year, we open-sourced a research project called AirSim, a high-fidelity system for testing the safety of artificial intelligence systems. AirSim provides realistic environments, vehicle dynamics and sensing for research into how autonomous vehicles that use AI that can operate safely in the open…

  4. Microsoft's Springfield group. (Photography by Scott Eklund/Red Box Pictures)

    Neural fuzzing: applying DNN to software security testing 

    November 13, 2017 | William Blum

    Microsoft researchers have developed a new method for discovering software security vulnerabilities that uses machine learning and deep neural networks to help the system root out bugs better by learning from past experience. This new research project, called neural fuzzing, is designed to augment traditional…

  5. hand drawn image of ICTA dna strand beating CCTA around a racetrack

    Scientists use machine learning to predict DNA binding rates from sequence 

    November 8, 2017

    By Microsoft Research Lab - Cambridge and Department of Bioengineering, Rice University The binding of DNA strands by Watson-Crick base pairing is a fundamental process in biotechnology, which is used around the world for reading and writing DNA sequences and for assembling DNA nanostructures. Yet…

  6. a group of people posing for the camera

    2017 Beauty of Programming contest winners take big AI steps 

    October 24, 2017

    On August 15, the sixth annual Microsoft Beauty of Programming Challenge — a programming competition for college students in Asia — came to a close. This year's theme focused on artificial intelligence question and answer (Q&A) projects. The challenge asked each team to create a…

  7. a man standing in front of a mountain

    Changing the world with data science 

    October 20, 2017 | Kenji Takeda

    Alan Turing asked the question “can machines think?” in 1950 and it still intrigues us today. At The Alan Turing Institute, the United Kingdom’s national institute for data science in London, more than 150 researchers are pursuing this question by bringing their thinking to fundamental…

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