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Notification of seabet online casino report of researcher Liu Yunxin of Microsoft Asia Research Institute

Source: Click: Time: November 05, 2020 17:21

Report title: seabet online casino

Report time:2020Year11month11Sunday morning9Click to11:30

Reporting location: Tencent Conference ConferenceID: 661 547 489

Abstract:

With the advances of hardware, software, algorithms and applications, there is a new computing paradigm shift from centralized intelligence in the cloud to distributed intelligence on the edge. It is critical to infuse AI to empower diverse edge devices and applications. This talk introduces our seabet online casino work on intelligent edge computing, including how to build affordable AI models customized for diverse edge devices, how to optimize system performance of model inference on heterogeneous hardware, how to ensure security and privacy of user data and AI models, and how to enable continuous and collaborative learning across distributed devices.


Personal introduction:

Dr. Yunxin Liu is a Principal Researcher and the manager of Heterogeneous and Extreme Computing Group at Microsoft seabet online casino Asia (MSRA). His seabet online casino interests are mobile and edge systems, focusing on system optimizations, power management, security and privacy, sensing, and recently, intelligent edge computing. His seabet online casino work has been published in top conferences and journals such as MobiSys, MobiCom, SenSys, NSDI, CCS, ToN and TMC; transferred into multiple Microsoft products including Visual Studio, XBOX XDK, and Windows Phone; and featured in news media including ABC News, The Register, NetworkWorld and many others. He served as a TPC member of a set of conferences such as MobiSys, MobiCom, WWW and INFOCOM. He is an Associate Editor of IEEE Transactions on Mobile Computing, a general co-chair of Mobihoc 2021, and an adjunct professor (guest Ph.D. advisor) of University of Science and Technology of China. He received MobiCom 2015 Best Demo Award, PhoneSense 2011 Best Paper Award, and SenSys 2018 Best Paper Runner-up Award.


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