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. See how and from tested a refreshable Braille display, haptic-feedback output, and Braille typing to help close the technology gap that limits options for gamers who are blind or with low vision:

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  3. Each day brings more digital information into our lives—emails, files, websites, and the like. Researchers introduce a graph-based approach to linking these entities and efficient methods for updating their representations as new info is added:

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  4. Join on 2/20 for Optics for the Cloud lectures: Ultrafast Laser Writing of Integrated Waveguides Toward Quantum Sources with 's Jie Qiao. Adaptive laser fabrication for future photonic tech with 's .

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  5. New work in extreme classification, the storage and retrieval of data in manufactured DNA, the continued development of homomorphic encryption—advances in search, storage, and security are among our 2019 achievements. Read our year in review:

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  6. Could up to $25,000 USD help you complete your dissertation? Show us the impact of your research and you could receive funding from a North American Dissertation Grant for academic year 2020–21 to complete your doctoral thesis work:

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  7. . has received two most influential paper awards for his work on program synthesis that he started at Microsoft 10 years ago. Congrats to Sumit & his collaborators! POPL 2010 paper: ICSE 2010 paper:

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  8. Challenges in deep learning lie in understanding how models come up with results and pushing them toward more complex reasoning. Hear discuss interpretability of models and “System Two,” or neural-symbolic thinking, on the :

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  9. “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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  10. 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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  11. 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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  12. See how Microsoft’s Project Silica shows the future of long term data storage via :

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  13. 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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  14. 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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  15. 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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  16. 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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  17. 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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  18. 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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  19. 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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  20. 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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