全体师生： 应计算机学院邀请，美国南加州大学黄恺教授将赴我院举办学术报告，欢迎广大师生踊跃参加。 题目：Big-Data Analytics for Cloud, IoT, and CognitiveComputing 时间：2017年6月2日下午2:45 地点：光电国家实验室A101 讲座内容简介： Inthis talk, Dr. Hwang addresses the pervasive use ofbig-data analytics on smart clouds, social networks, intelligent robots, andIoT platforms. He will assessmachine/deep learning models and available software tools to advance thecognitive 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-medianetworks. Histalk will assesse current AI programs and brain projects pursued by high-techcompanies, including Google X-Lab, TensorFlow, DeepMind AlphaGo, Nvidia Digits5 for using GPU in deep learning, IBM neuromorphic computer, and CAS/ICTCamericon project, etc. Some hidden R/Dopportunities are revealed for building smart machines，delivery drones, self-drivingcars, blockchains, AR/VR gears, etc. Extended cognitive applications will be explored on 5G health-care,desease detection, emotion control, and social media community services. Kai Hwang教授简介： KaiHwang is a Professor of EE/CS at the Univ. of Southern California.He received the Ph.D. from UC Berkeley. He has published extensively incomputer architecture, parallel processing, cloud computing, and networksecurity. His latest two books, entitled Cloud Computing for Machine Learning and Cognitive Applications (The MIT Press) and Big Data Analytics forCloud/IoT and Cognitive Computing (Wiley,U.K.) justappeared in mid-2017. AnIEEE Life Fellow, he received the very-first CFC Outstanding Achievement Awardin 2004 and the Lifetime Achievement Award from IEEE Cloud2012 for hispioneering work in parallel computing and distributed systems. Four of hisgraduated Ph.D. students were elected as IEEE Fellows and one an IBM Fellow. Hehas delivered four dozens of keynote or distinguished lectures in internationalConferences or Research Centers. Dr. Hwang hasperformed consulting work with IBM, MIT Lincoln Lab, ChineseAcademy of Sciences, and INRIA inFrance. He can be reached via his Email at USC:kaihwang@usc.edu.
