<address id="t17nd"><dfn id="t17nd"></dfn></address>
      <sub id="t17nd"><var id="t17nd"><ins id="t17nd"></ins></var></sub>

        <sub id="t17nd"><var id="t17nd"><output id="t17nd"></output></var></sub>

        <address id="t17nd"><dfn id="t17nd"></dfn></address>

        <font id="t17nd"><var id="t17nd"><output id="t17nd"></output></var></font>

        <sub id="t17nd"><var id="t17nd"><ins id="t17nd"></ins></var></sub>

        <thead id="t17nd"><var id="t17nd"><output id="t17nd"></output></var></thead>

            <sub id="t17nd"><dfn id="t17nd"></dfn></sub>

            學院概況

            名家講壇:Big-Data Analytics for Cloud Computing in Social and Cognitive Applications

            發布時間:2017-08-25

            信息來源:

            瀏覽量:

            Big-Data Analytics for Cloud Computing in Social and Cognitive Applications

            時間:2017年6月8日(星期四)15:00 - 16:30

            地點:北京大學理科二號樓2135室

            主辦單位:北京大學信息科學技術學院

            特邀報告人:Kai Hwang (University of Southern California)

            報告摘要:

            In this talk, Dr. Hwang addresses the pervasive use of big-data analytics on smart clouds, social networks, intelligent robots, and IoT platforms. He will assess machine/deep learning models and available software tools to advance the cognitive service industry represented by Google, Microsoft, Apple, Facebook, Baidu, IBM, Huawei, etc. The ultimate goal is to achieve enhanced agility, mobility, security, and scalability of public clouds, IoT platforms, and social-media networks.

            His talk will assess current AI programs and brain projects pursued by high-tech companies, including Google X-Lab, TensorFlow, DeepMind AlphaGo, Nvidia Digits 5 for using GPU in deep learning, IBM neuromorphic computer, and CAS/ICT Camericon project, etc. Some hidden R/D opportunities are revealed for building smart machines, delivery drones, self-driving cars, blockchains, AR/VR gears, etc. Extended cognitive applications will be explored on 5G health-care, desease detection, emotion control, and social media community services.

            報告人簡介:

            Kai Hwang is a Professor of EE/CS at the University of Southern California. He received thePh.D. from UC Berkeley. He has published extensively in computer architecture, parallel processing, cloud computing, and network security. His latest two books, entitledCloud Computing for Machine Learning and Cognitive Applications (The MIT Press) andBig Data Analytics for Cloud/IoT and Cognitive Computing(Wiley, U.K.) are in press to appear in Spring of 2017.

            An IEEE Life Fellow, he received the very-first CFC Outstanding Achievement Award in 2004 and the Lifetime Achievement Award from IEEE Cloud2012 for his pioneering work in parallel computing and distributed systems. Four of his graduated Ph.D. students were elected as IEEE Fellows and one an IBM Fellow. He has delivered four dozens of keynote or distinguished lectures in international Conferences or Research Centers. Dr. Hwang has performed consulting work with IBM, MIT Lincoln Lab, Chinese Academy of Sciences, and INRIA in France. He can be reached via his Email at USC:kaihwang@usc.edu.

            沙巴体育客户端下载