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香港中文大学(深圳)IoT讲座预告

  || 融合智能云,物联网,与AI芯: 面对大数据与认知计算的挑战

  Topic: Fusion of Smart Clouds with AI Chips and IoT Devices for Big Data Analytics and Cognitive Applications

  主题:智能云与AI芯片和IOT设备的融合,用于大数据分析和认知应用

  Time & Date: 14:30-15:30, August 25, Saturday

  时间和日期:8月25日14:30-15:30.星期六

  Venue: Governing Board Meeting Room, Dao Yuan Building

  地点:道园大厦董事会会议室

  Speaker: Prof.Kai Hwang

  演讲者:Kai Hwang教授

  The Chinese University of Hong Kong, Shenzhen

  中国香港大学深圳分校

  Abstract

  讲座摘要

  In this speech, Dr. Hwang will address critical issues surrounding the fusion of smart clouds, AI chips, fog nodes, and edge devices in various IoT platforms to face the grand challenges in big-data, AI and cognitive applications. The roles of machine learning and big-data analytics are identified for smart clouds, social networks, intelligent robots, and IoT platforms. He will assess hardware, software and networking approaches and their integration techniques. He will illustrate with example projects at Google, IBM, Baidu, Alibaba, Microsoft, Apple, Huawei, etc. The ultimate system design goal is to achieve enhanced agility in AI systems, end user mobility, global security, and scalability of public clouds and IoT platforms.

  在这次演讲中,黄博士将讨论围绕智能云、人工智能芯片、雾节点和边缘设备在各种物联网平台中的融合的关键问题,以面对大数据、人工智能和认知应用的巨大挑战。机器学习和大数据分析的作用被识别为智能云、社交网络、智能机器人和物联网平台。他将评估硬件、软件和网络方法及其集成技术。他将以谷歌、IBM、百度、阿里巴巴、微软、苹果、华为等公司的示例项目为例进行说明。系统设计的最终目标是增强AI系统的敏捷性、最终用户移动性、全球安全性、以及公共云和IoT平台的可伸缩性。

  Dr. Hwang will assess the latest progresses made at AWS, Google and IBM Watson, etc. In particular, he will cover the co-design of hardware, algorithms and software to upgrade the performance and ensure security and data privacy. He will assess the integration of cloud, fog, and edge computing requirements. Intelligent robots, IoT devices, NB-IoT, 5G and satellite-based networks are presented to face the challenges in current and future AI and HPC applications. Specific application

  黄博士将评估在AWS、Google和IBM Watson等公司取得的最新进展。特别是,他将介绍硬件、算法和软件的共同设计,以提高性能,并确保安全和数据隐私。他将评估云、雾和边缘计算需求的集成。智能机器人、物联网设备、NB-物联网、5G网络和卫星网络被提出以面对当前和未来的人工智能和HPC应用的挑战。具体应用

  domains to be covered include deep learning in computer vision, autonomous vehicles, smart city built upon IoT and clouds, and a 5G health-care system for desease detection, emotion control, and mental disorder recovery.

  涵盖的领域包括计算机视觉的深度学习、自主车辆、基于物联网和云的智能城市、以及用于疾病检测、情绪控制和精神障碍恢复的5G保健系统。

  Biography

  主讲人简介

  Kai Hwang is presently a Presidential Chair Professor in Computer Science and Engineering at the Chinese University of Hong Kong (CUHK), Shenzhen, China. He also serves as a Chief Scientiest at the Cloud Computing Center, Chinese Academy of Sciences. He has taught at the University of Southern California and at Purdue University for many years prior joining CUHK. He received the Ph.D. in Electrical Engineering and Computer Science from UC Berkeley in 1972. Dr. Hwang has published extensively in the fields of computer architecture, parallel processing, cloud computing, and network security.

  黄凯,现任中国香港中文大学计算机科学与工程系主任教授。他还担任中国科学院云计算中心首席科学家。在加入香港中文大学之前,他曾在南加州大学和普渡大学任教多年。1972,他在加州大学伯克利分校获得电气工程和计算机科学博士学位。黄博士在计算机体系结构、并行处理、云计算和网络安全等领域广泛发表论文。

  By 2018, his Google Scholar citation has exceeded 17,828 with an h-index of 55. His latest two books appeared in 2017: Cloud Computing for Machine Learning and Cognitive Applications (The MIT Press) and Big Data Analytics for Cloud/IoT and Cognitive Computing (Wiley, U.K.). The Chinese editions are both avialable from Huazhang Press in Beijing. An IEEE Life Fellow, he received the Outstanding Achievement Award from the Computer Federation of China in 2004. He received the Lifetime Achievement Award from the IEEE CloudCom 2012 for his pioneering work in parallel computing and distributed systems. He has delivered numerious keynote or distinguished lectures in many Conferences or research centers. Dr. Hwang has performed consulting work with IBM, MIT Lincoln Lab, Chinese Academy of Sciences, and INRIA in France. He has servered as a visiting chair professor at Tsinghua Univerity and Hong Kong University.

  到2018,他的谷歌学者引文已超过17828,H-指数为55。他最近出版的两本书出现在2017年:用于机器学习和认知应用的云计算(麻省理工学院出版社)以及用于云/物联网和认知计算的大数据分析(Wiley,英国)。中文版都是北京华章出版社提供的。一位IEEE生活研究员,他于2004获得了中国计算机学会颁发的杰出成就奖。他因在并行计算和分布式系统方面的开创性工作而获得IEEE CloudCom 2012终身成就奖。他在许多会议或研究中心发表了重要的演讲或杰出的演讲。Hwang博士与IBM、麻省理工学院林肯实验室、中国科学院和法国的教育部进行了咨询工作。他是清华大学和香港大学的客座教授。

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