Microsoft ResearchOvjeren akaunt

@MSFTResearch

Founded in 1991, Microsoft Research is dedicated to conducting both basic and applied research in computer science and software engineering.

Vrijeme pridruživanja: veljača 2009.

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  1. Prikvačeni tweet

    Dr. leads the Deep Learning Group at Microsoft Research. Hear how recent advances in training data and infrastructure have allowed Dr. Gao’s team to work on applications for deep learning in language, vision, and video on the :

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  2. “Deep learning, in some sense, is to map all the knowledge from the symbolic space to neural space because in the neural space, all the concepts are represented using continuous vectors.” Hear break down deep learning on the :

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  3. In natural language processing, pre-training provides a jump start on training data. Learn how Microsoft researchers made the innovative MASS, a pre-training method to predict masked sentence fragments through an encoder-attention-decoder framework:

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  4. Microsoft is proud to be a Silver sponsor of in Houston, TX next week. Explore our full session schedule and open career opportunities in search and data mining here:

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  5. See how Microsoft’s Project Silica shows the future of long term data storage via :

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  6. Intelligibility builds trust. discusses how to design/evaluate methods for achieving intelligibility in context and how to empirically test which ML system factors let users achieve their goals. Sign up to watch the on-demand webinar now:

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  7. proslijedio/la je Tweet
    30. sij

    Modified helps teach kids with vision impairment to navigate the social world. Great project by our friends in [)-)

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  8. Combining technology from and research in understanding social context, Project Tokyo helps people who are blind or with low vision make even better sense of their environment.

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  9. When interviewing at Microsoft Research, was sure he had given all wrong answers. The next day, he received an offer. Looking back, Gao—head of the Deep Learning Group—realized then it was all about asking the right questions:

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  10. proslijedio/la je Tweet

    We are thrilled to announce AI for Health, a new program dedicated to leveraging AI to empower researchers and organizations to address some of the world’s toughest challenges in . ➡️

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  11. With projects ranging in focus from healthcare to gaming to server workload management, 2019-20 Microsoft AI residents are pushing forward real-world applications in artificial intelligence. Learn more about the program and apply for the class of 2020-21:

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  12. The 7th annual Swiss Joint Research Center workshop kicked-off today at . Teams will share updates on their projects and engage in group discussions. Learn more:

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  13. Microsoft researchers & collaborators created an open-source library to explore “what-if” scenarios for machine learning models. Learn how their method generates multiple diverse counterfactuals at once and gives insight into ML algorithm decision making:

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  14. With Project Tokyo, members of the blind and low-vision community are working with Microsoft researchers to create intelligent personal agent technology that tells them who is in the room.

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  15. We are excited to announce the recipients of the Microsoft Investigator Fellowship. The fellows are researchers & teachers from all disciplines using Microsoft Azure cloud computing platform to further their work. Learn about the fellows & their pursuits:

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  16. Congratulations to Microsoft Research's Nachi Nagappan for receiving 's 2020 Harlan D. Mills Award! He was recognized for his outstanding contributions to empirical software engineering and data-driven software development:

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  17. Designing interactions between people and growingly complex AI systems needs to be thoughtful and standardized. Learn how a dedicated team of Microsoft researchers worked to create & validate a set of guidelines for designing human-AI interaction:

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  18. Microsoft Research's leads research efforts in India and sees the country’s resource constraints as an opportunity for innovation. Hear how his lab is advancing algorithms, systems, ML & AI, & Technology for Emerging Markets:

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  19. “If you want to do science that changes the world, you need to give time. It’s extremely important to do that, because to make any research mark, it’s going to take many, many years.” on the marathon that is research:

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  20. With TensorWatch, researchers seek to help other researchers/engineers get much-needed info about the state of their ML systems. The open-source debugging and visualization tool works in Jupyter Notebook to perform key analysis tasks for models and data:

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