Overview
Date
Apr 25 - 26, 2021
10:15 - 12:00
Venue

Administration Building, CUHK-Shenzhen, Online: Bilibili

International Symposium on Artificial Intelligence and Robotics for Society-Technologies at Inflection Point

Z6集团|中国官网

We are at an important inflection point in history, where digitalization significantly blurs the boundary of physical world and digital world, and makes virtually everything connectable, computable, manipulatable, collaboratable, and with a high level of autonomous intelligence, through Artificial Intelligence (AI), Internet of Things (IoT) and robotics technologies. Today, while many exciting progresses have been made in theory and practice, which have significantly improved and impacted our daily work and life, we are still facing many fundamental technical challenges and critical application issues to better serve the human society.

65 years ago, at Dartmouth Conference, the term 'Artificial Intelligence' was coined and has been developed into an important research area. In light of that, the first International Symposium on Artificial Intelligence and Robotics for Society (z6首页2021) is started as a new international conference that focuses on new AI, IoT, Robotics and related technologies for the common good of human being. We hope it will ignite new thoughts and benefit our society.  It brings together world-wide researchers and practitioners to share the-state-of-the-arts in fundamental research, address technical challenges, exchange innovative ideas, discuss new core issues, and showcase disruptive products and services in related areas. It emphasizes on innovations that matter to our society, covering topics on both basic research and applications in health, energy, environment, education, transportation, finance, urban infrastructure and management, agriculture, manufacturing, arts, entertainment, culture heritage, etc.

z6首页2021 will be hosted by Shenzhen Institute of Artificial Intelligence and Robotics for Society (z6首页) and co-hosted by the Chinese University of Hong Kong, Shenzhen on April 25-26 at the Chinese University of Hong Kong, Shenzhen, in a form of hybrid online/offline sessions. It will feature distinguished keynote speeches and round-table discussions, on technical innovations and inspiring thoughts. 

  • Z6集团|中国官网
    Yangsheng Xu
    CAE Academician, President of The Chinese University of Hong Kong, Shenzhen, President of z6首页
    General Chair

    Professor Xu Yangsheng is Academician of Chinese Academy of Engineering, and the President of The Chinese University of Hong Kong, Shenzhen. He obtained his PhD degree from the University of Pennsylvania. He worked at Carnegie Mellon University (USA) for years and joined The Chinese University of Hong Kong subsequently. In August of 2013, Professor Xu was appointed the first President of The Chinese University of Hong Kong, Shenzhen after a global selection process.

    Professor Xu's research includes robotics and artificial intelligence. He has been interested in space robotics, service robotics, robot language, wearable interface, intelligent vehicles and self-learning systems. He has published 6 books, and over 300 papers in international journals in these areas. He is Academician of Chinese Academy of Engineering, International Member of the US National Academy of Engineering, Fellow of EU Academy of Sciences, Fellow of International Academy of Aeronautics and Astronautics, Fellow of the Institute of Electrical and Electronics Engineers, Academician of International Eurasian Academy of Sciences, and Fellow of Hong Kong Academy of Engineering Sciences. In 14 November 2016, a main-belt asteroid was named 59425 Xu-Yangsheng in recognition of his contributions. 

  • Z6集团|中国官网
    Wenhua Ding
    CAE Academician
    Panel Discussion: AI Technologies at Infection Point

            丁文华,,, ,,, ,中国工程院院士、广播电视技术专家,,, ,,, ,曾任中央电视台总工程师,,, ,,, ,教授级高级工程师。。。。。丁文华1996年被评聘为教授级高级工程师。。。。。2000年至2016年,,, ,,, ,任中央电视台总工程师。。。。。丁文华持久从事广播电视技术的科学钻研工作。。。。。

  • Z6集团|中国官网
    Wen Gao
    CAE Academician, Director of Peng Cheng Lab
    Strong AI and Brain-Inspired Computing

            高文,,, ,,, ,现任中国工程院院士、北京大学博雅讲席教授、信息科学技术学院院长,,, ,,, ,鹏城尝试室主任,,, ,,, ,中国推算机学会理事长,,, ,,, ,新一代人为智能产业技术创新战术联盟理事长,,, ,,, ,全国专业尺度化技术委员会副主任,,, ,,, ,数字音视频编解码技术尺度(AVS)工作组组长,,, ,,, ,国际电气和电子工程师协会会士(IEEE Fellow)、美国推算机协会会士(ACM Fellow)。。。。。重要从事人为智能利用和多媒体技术、推算机视觉、模式鉴别与图像处置、虚构现实方面的钻研,,, ,,, ,重要著述佑锥数字视频编码技术道理》、《Advanced Video Coding Systems》等。。。。。在能力域国际期刊上颁发论文200余篇,,, ,,, ,国际会讨论文600余篇。。。。。

    The development of Artificial General Intelligence (AGI) has huge potential but also uncertainty. In the research and application stages of AGI, it may encounter various safety and security risks in different aspects such as model interpretability, hardware reliability, and self-consciousness controllability. This talk starts from reviewing the history and trend of artificial intelligence development. Technical roadmaps and several representative results for developing AGI through brain-inspired computing – one of the important technical ways to realize AGI, such as digital retina framework, fovea-like sampling model based spiking array chip, and so on, are then introduced. Finally, policy suggestions for decision makers to prevent risk occurrence of AGI are summarized.

  • Z6集团|中国官网
    James Heckman
    James Heckman, Nobel Laureate, NAS/AAAS Member, Professor at University of Chicago
    Building the Skills for China’s Digital Economy

    James J. Heckman is the Henry Schultz Distinguished Service Professor of Economics and Public Policy and Director of the Center for the Economics of Human Development at the University of Chicago. He has devoted his professional life to understanding the origins of major social and economic questions related to inequality, social mobility, discrimination, skill formation and labor market regulation, as well as devising and applying empirical strategies for understanding these questions. His recent research on human development and skill formation over the life cycle draws on many different disciplines to examine the origins of inequality, the determinants of social mobility, and the connections between stages of the life cycle.

    Heckman has a B.A. (1965) in Mathematics from Colorado College and an M.A. (1968) and Ph.D. (1971) in Economics from Princeton University. He has been at the Department of Economics at the University of Chicago since 1973.

    In 2000, Heckman won the Nobel Prize in Economics. He has received many awards for his work, including the John Bates Clark Medal in 1983, the Jacob Mincer Award in 2005, the 2005 and 2007 Dennis Aigner Award for Applied Econometrics, the Ulysses Medal from the University College Dublin in 2006, the 2007 Theodore W. Schultz Award, the Gold Medal of the President of the Italian Republic in 2008, the Distinguished Contributions to Public Policy for Children in 2009, the Frisch Medal in 2014, the 2016 Dan David Prize, and was made a Distinguished Fellow of the American Economic Association in 2017. He is a recent recipient of an NIH MERIT award.

    He has published over 300 articles and 9 books. He is actively engaged in conducting and guiding empirical and theoretical research on health, skill development, inequality, and social mobility over the life cycle in both mature and developing regions.

    China faces challenges in producing the skills needed in the emerging digital economy. To meet this challenge, it should enlarge the pool of talent and tap currently underutilized human resources. This lecture discusses effective strategies to do so. I discuss a successful recent program designed to develop the talent of rural Chinese children and the research challenges to AI in conducting and evaluating it.

  • Z6集团|中国官网
    Vijay Kumar
    NAE Member, Professor and Dean of Penn Engineering at University of Pennsylvania
    Aerial Robotics for Precision Agriculture

    VIJAY KUMAR is the Nemirovsky Family Dean of Penn Engineering with appointments in the Departments of Mechanical Engineering and Applied Mechanics, Computer and Information Science, and Electrical and Systems Engineering at the University of Pennsylvania. He received his Bachelor of Technology degree from the Indian Institute of Technology, Kanpur and his Ph.D. from The Ohio State University in 1987. He has been on the Faculty in the Department of Mechanical Engineering at the University of Pennsylvania since 1987.

    In addition to holding many administrative positions at Penn, Kumar has served as the assistant director of robotics and cyber physical systems at the White House Office of Science and Technology Policy (2012 – 2013). His lab has spun off many startups in robotics, and he is the founder of Exyn Technologies.

    Dr. Kumar is a Fellow of the American Society of Mechanical Engineers (ASME) and the Institute of Electrical and Electronic Engineers (IEEE). He has served on the editorial boards of the IEEE Transactions on Robotics and Automation, IEEE Transactions on Automation Science and Engineering, ASME Journal of Mechanical Design, and the Springer Tract in Advanced Robotics (STAR), and was the chief editor for the ASME Journal of Mechanisms and Robotics. He has won best paper awards at DARS 2002, ICRA 2004, ICRA 2011, RSS 2011, RSS 2013, ICRA 2014, BICT 2015, and MARSS 2016 and has advised doctoral students who have won Best Student Paper Awards at ICRA 2008, RSS 2009, and DARS 2010. He is the recipient of the 2012 ASME Mechanisms and Robotics Award, the 2012 IEEE Robotics and Automation Society Distinguished Service Award, a 2012 World Technology Network (wtn.net) award, a 2013 Popular Mechanics Breakthrough Award, a 2014 Engelberger Robotics Award, the 2017 IEEE Robotics and Automation Society George Saridis Leadership Award, the 2017 ASME Robert E. Abbott Award, the 2018 IEEE Robotics and Automation Pioneer Award, and the 2020 IEEE Robotics and Automation Field Award. He was elected to the National Academy of Engineering in 2013 and the American Philosophical Society in 2018.

    With a projected world-wide population growth to 9 billion by 2050, an uncertain climate future, and up to 50% of food lost between production and consumption, our agricultural systems that generate food, fiber, and feed, need to be smarter and more efficient. Aerial robots have the potential to monitor farms and provide information that can allow farmers to use inputs like water, pesticides and fertilizer more efficiently. I will describe our work on autonomous flight in GPS-denied environments and applications to monitoring specialty crops and forests, and our ability to estimate yield and generate semantic maps that can be used to manage farm lands and forests.

  • Z6集团|中国官网
    Shipeng Li
    IEAS Academician, z6首页 Executive President
    Panel Discussion: AI Technologies at Infection Point

    Dr. Shipeng Li is the Executive President of Shenzhen Institute of Artificial Intelligence and Robotics for Society (z6首页). He was a founding member of Microsoft Research Asia (MSRA) and served as the Research Area Manager. Dr. Li was the EiC (2018-2019) of IEEE Transactions on Circuits and Systems for Video Technology. He is quite influential in multimedia, IoT and artificial intelligence areas, and holds 202 US patents and published 330+ papers with 22,457 citations (H-index: 77). He has trained 4 MIT TR35 Innovator Award Winners. Dr. Li received B.S. and M.S. from USTC and Ph.D. from Lehigh University. He is a Standing Director for the Chinese Institute of Electronics, the co-founder and Joint Secretary General of AI Industry Technology Innovation Strategic Alliance (AITISA) under China MOST. Dr. Li is an IEEE Fellow and an IEAS (International Eurasian Academy of Science) Academician.

  • Z6集团|中国官网
    Zhiquan Tom Luo
    RSC Fellow, Vice President at CUHK-Shenzhen
    5G Network Performance Models and Optimization Methods

    Professor Zhi-Quan (Tom) Luo received his BSc degree in Applied Mathematics from Peking University, China, in 1984. In the same year, he was selected by a joint AMS-SIAM committee and the Ministry of Education of China for graduate study in the United States (S.S. Chern Program). Following a 12-month intensive training in English and Mathematics, he enrolled in the Massachusetts Institute of Technology where he received a PhD degree in Operations Research in 1989. From 1989 to 2003, he was on the faculty in the Department of Electrical and Computer Engineering, McMaster University, Canada where he eventually served as the department head and was awarded a Canada Research Chair (Tier I) in Information Processing. From 2003 to 2014, Professor Luo has been a full professor at the Department of Electrical and Computer Engineering, University of Minnesota and held an endowed ADC Chair in digital technology. Currently, Professor Luo serves as the Vice President (Academic) of The Chinese University of Hong Kong, Shenzhen, and concurrently the Director of Shenzhen Research Institute of Big Data and also the Director of CUHK(SZ)-Tencent AI Lab Joint Laboratory on Machine Intelligence. In 2020, he has established a joint laboratory with Huawei and is now the Principal Investigator of the Lab.

    Professor Luo received the 2010 Farkas Prize from the INFORMS Optimization Society for outstanding contributions to the field of optimization. In 2018, he was awarded the prize of Paul Y. Tseng Memorial Lectureship in Continuous Optimization. He also received three Best Paper Awards from the IEEE Signal Processing Society in 2004, 2009 and 2011 respectively, and a 2011 Best Paper Award from the EURASIP. Professor Luo is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and a Fellow of the Society for Industrial and Applied Mathematics (SIAM). In 2014, he was elected to the Royal Society of Canada, the highest honor a Canadian scholar can achieve in the Arts, Humanities and Sciences. In 2016, Professor Luo was elected to the Leading Talent Program of Guangdong Province.

    Professor Luo's research mainly addresses mathematical issues in information sciences, with particular focus on the design, analysis and applications of optimization algorithms. Professor Luo consults regularly with industry on topics related to signal processing and digital communication. Professor Luo was the semi-plenary speaker for the International Symposium on Mathematical Programming in 2003 and IEEE CDC conference in 2011, the distinguished lecturer for the IEEE Sensor Array and Multichannel Signal Processing Workshop in 2006, the plenary speaker for the IEEE Signal Processing Advance for Wireless Communications (SPAWC) Workshop in 2013, and IEEE Signal Processing Theory and Methods Workshop in 2014. Professor Luo has served as the Chair of the IEEE Signal Processing Society Technical Committee on Signal Processing for Communications (SPCOM). He was the Editor in Chief for IEEE Transactions on Signal Processing from 2012 to 2014 and served as the Associate Editor for many internationally recognized journals, including Mathematics of Operations Research, Management Science, Mathematical Programming and others.

    Modern communication networks consists of a large number of equipment and many configurable parameters, and each parameter has a specific operation range. China is leading in the 5G-base technology over the world, but not in 5G network performances. The reason is that the network performance depends not only on the performance of the equipment but, more importantly, it is necessary to configure the equipment with proper parameters that match the communication scenario. Otherwise, the advanced equipment may not be able to exert its effectiveness. Once the scenario changes, the network configurations must be re-adjusted accordingly. However, the massive number of configurable parameters (More than 10^2,000,000 parameters in Shenzhen compared to the solution space of Go with only 10^100) brings tremendous challenges to network performance optimization, while traditional operation modes, e.g., manual testing and experience-based adjustment, are no longer sustainable. This talk will focus on the optimization problems in communication networks, analyzing how to use mathematical models and optimization algorithms to maximize network efficiency from a network end-to-end perspective, including data-driven statistical models, SRCON-based real-network simulation system design, and efficient algorithms that maximizes network efficiency.

  • Z6集团|中国官网
    Yunhe Pan
    CAE Academician and Former Deputy President, Professor and Former President of Zhejiang University
    Five Important Problems in Visual Intelligence

            潘云鹤  中国工程院院士、浙江大学教授。。。。。原中国工程院常务副院长、浙江大学堂长。。。。。兼任国度教材委员会委员、国度新一代人为智能战术征询委员会组长、中国人为智能产业发展联盟理事长、中国创新设计产业战术联盟理事长、中国发现协会理事长、中国战术性新兴产业发展专家征询委员会副主任、中国图象图形学学会名望理事长等职。。。。。
            潘云鹤是中国智能CAD和推算机美术领域的启发者之一。。。。。他持久从事人为智能、推算机图形学、CAD和工业设计的钻研,,, ,,, ,在推算机美术、智能CAD、推算机辅助产品创新、虚构现实和数字文物 ;;; ;;;ぁ⑹滞际楣荨⒅悄艹鞘泻椭吨行牡攘煊,,, ,,, ,承担过多个沉要科研课题,,, ,,, ,创新性地提出跨媒体智能、数据海、智能图书馆、人为智能2.0、视觉知识等概想,,, ,,, ,颁发多篇钻研论文,,, ,,, ,获得了一系列沉要钻研成就,,, ,,, ,屡次获得国度科技嘉奖。。。。。

    The visual knowledge accumulated by humans is different from the verbal knowledge, and is used for thinking in images. Vision-based AI is a subject that AI cannot avoid, and it is of great significance. The speaker proposed the basic concept of "visual knowledge" in 2019. This report will discuss five important related issues including visual knowledge representation, visual recognition, simulation of visual image thinking, visual knowledge learning, and multiple knowledge representation. It is further pointed out that the unique advantages of visual knowledge are the ability of comprehensive generation of images, the ability of temporal and spatial evolution, and the ability of image display. The study of visual knowledge and multiple knowledge representation is the key to the development of new visual intelligence. The technical combination of AI and CAD/CG/VC will provide an important basic driving force for the new development of AI in terms of creation, prediction, and human-machine integration. It is also one of the key theory and technology that promote important breakthroughs in AI2.0
  • Z6集团|中国官网
    David Robertson
    Vice-Principal of the University of Edinburgh, BCS Fellow
    Distributed AI at Large Scale

    David Robertson is Chair of Applied Logic, Vice Principal and Head of College of Science & Engineering at the University of Edinburgh.  Prior to this he was Head of School of Informatics at Edinburgh, which is the largest UK computing science department in the UK in terms of research power. His computing research is on Artificial Intelligence, specialising in formal methods for coordination and knowledge sharing between (human/artificial) agents in distributed systems where a high degree of autonomy is expected in the components of the underlying system.  This is one of the enablers for AI at large scale. Methods from his group have been applied to astronomy, simulation of consumer behaviour, emergency response and healthcare. He was a member of the Farr Institute for medical data sharing and was co-director of the Centre for Medical Informatics at the University of Edinburgh. He is currently Director of the Scottish node of Health Data Research UK.  He chaired the executive of the UK Computing Research Committee (the expert panel of the British Computer Society and the Institution of Engineering and Technology) and has served on strategic advisory groups for the UK's Engineering and Physical Sciences Research Council, the Medical Research Council and Innovate UK. He is a member of the governance board for the Scottish Innovation Centre in Data Science and he was on the supervisory board for EIT Digital.

    A key turning point in the development of Artificial Intelligence was the change of focus from algorithms that assumed a knowledge-poor environment and operated at small scale to algorithms that assume a knowledge-rich environment and that benefit from large scale.   We now look to build AI systems in environments where we can know very little about the internal design of the agents involved or their deep intentions, nor can we rely on centralized systems of coordination; yet we still want to provide enough stability in the operation of these sorts of automated systems to reliably achieve broad, social goals. This involves inference over the interactions between agents, for which we developed a parsimonious specification language that enables agents to treat interactions as knowledge with which they can reason within the context of a social group.  I will summarise how this view of large scale inference changes how we approach essential large scale reasoning tasks (e.g. ontology alignment, enforcement of social norms) and I will use healthcare, via the work of Health Data Research UK, to demonstrate why these sorts of techniques are likely to be needed as that area of application moves to large scale.

  • Z6集团|中国官网
    Harry Shum
    NAE Foreign Member, RAE Foreign Member, Chairman of IDEA, Former Executive Vice President of Microsoft
    From Deep Learning to Deep Understanding

    Dr. Harry Shum is the Founding Chairman of International Digital Economy Academy (IDEA), and an Adjunct Professor of Tsinghua University. He was the Executive Vice President of AI and Research at Microsoft Corporation until March 2020. He was elected to National Academy of Engineering of the US in 2017, and Royal Academy of Engineering of the UK in 2018. 

    In this talk I will discuss a couple of research directions for robust AI beyond deep neural networks. The first is the need to understand what we are learning, by shifting the focus from targeting effects to understanding causes. The second is the need for a hybrid neural/symbolic approach that leverages both commonsense knowledge and massive amount of data. Specifically, as an example, I will present some latest work at Microsoft Research on building a pre-trained grounded text generator for task-oriented dialog. It is a hybrid architecture that employs a large-scale Transformer-based deep learning model, and symbol manipulation modules such as business databases, knowledge graphs and commonsense rules. Unlike GPT or similar language models learnt from data, it is a multi-turn decision making system which takes user input, updates the belief state, retrieved from the database via symbolic reasoning, and decides how to complete the task with grounded response. 

  • Z6集团|中国官网
    Yu Sun
    CAE (Canada) Fellow, RSC Fellow, Professor at University of Toronto
    Micro-NanoRobotics: from Robotic Cell Surgery to Intracellular Manipulation

    Yu Sun is a Professor in the Department of Mechanical and Industrial Engineering, with joint appointments in the Institute of Biomedical Engineering, Department of Electrical and Computer Engineering, and Department of Computer Science at the University of Toronto (UofT). He is a Tier I Canada Research Chair and the Director of the UofT Robotics Institute. His lab specializes in developing innovative technologies and instruments for manipulating and characterizing cells, molecules, and nanomaterials. He is a Lifetime Fellow of Canadian Academy of Engineering (CAE) and a Lifetime Fellow of The Academy of Science of Royal Society of Canada (RSC). He was also elected Fellow of IEEE, ASME, AIMBE, AAAS, and NAI for his work on micro-nano devices and robotic systems.

    The capability of manipulating micro and nanometer-sized objects, such as cells and nanomaterials opens new frontiers in robotic surgery, disease diagnostics, industrial applications and enables new discoveries in many disciplines such as biology, medicine, and materials science. The field of Micro-NanoRobotics involves the design and construction of robotic agents that are micro-nanometer sized and robotic manipulation of objects with dimensions in the micrometer and nanometer ranges. The past two decades has witnessed spurred development of micro-nanorobotic systems and technologies with common hallmarks of precision instrumentation, sensing, actuation, and control. This talk will begin with a brief review of the evolution of the robotic micromanipulation field, followed by an overview of challenges, opportunities, and recent advances made in this field. Examples of robotic cell manipulation systems for clinical surgery and drug screen will be given, and sub-micrometer position control and sub-nanoNewton force control for realizing 3D intracellular and intra-tissue manipulation and measurement will be introduced.

  • Z6集团|中国官网
    Haifeng Wang
    Chief Technology Officer of Baidu
    Panel Discussion: AI Technologies at Infection Point

    Dr. Wang is the director of National Engineering Laboratory for Deep Learning Technology and Applications, and vice president of Chinese Institute of Electronics and Chinese Information Processing Society of China, etc.

    He served as the president of the Association for Computational Linguistics (ACL) in 2013. He is currently an ACL fellow and the founding chair of Asia-Pacific Chapter of the ACL. 

    Dr. Wang received Guanghua Engineering Science and Technology Award (2020), the Outstanding Contribution Award of Wu Wen Jun AI Science and Technology Award (2018), National Scientific Innovation and Advancement Award (2017) and the Second Prize of National Science and Technology Progress Award (2015).

    He published more than 150 academic papers and had more than 300 patent applications granted or issued. Dr. Wang was awarded two China Patent Silver Awards.

  • Z6集团|中国官网
    Shafei Wang
    CAE Academician
    Panel Discussion: AI Technologies at Infection Point

            王沙飞,,, ,,, ,通讯与信息系统专家,,, ,,, ,1991年毕业于北京理工大学,,, ,,, ,获硕士学位。。。。。2017年11月27日,,, ,,, ,当选为中国工程院院士。。。。。

  • Z6集团|中国官网
    Manqing Wu
    CAE Academician
    Panel Discussion: AI Technologies at Infection Point

            吴曼青,,, ,,, ,中国科学技术大学教授、博士生导师,,, ,,, ,钻研员级高级工程师,,, ,,, ,网络信息领域专家,,, ,,, ,2009年当选中国工程院院士。。。。。

          

  • Z6集团|中国官网
    Jing Xiao
    Chief Scientist of Ping An Group
    AI-Empowered Financial Service Innovation

            肖京博士是卡耐基梅隆大学博士,,, ,,, ,现任安然集团首席科学家,,, ,,, ,技术钻研院院长。。。。。肖京博士持久从事人为智能与大数据分析挖掘有关领域钻研,,, ,,, ,屡次当选沉要国际学术会议委员会及中美国度基金评审专家委员会,,, ,,, ,先后在爱普生美国钻研院及美国微软公司担任高级研发治理职务。。。。。目前在安然集团掌管创新技术及产品研发利用,,, ,,, ,蕴含智能化大数据分析等技术在金融、医疗、智慧城市等领域的研发和利用。。。。。

            随着人为智能技术近期的飞速进取,,, ,,, ,“智能+”逐步取代“互联网+”,,, ,,, ,成为科技创新的主旋律。。。。。智能技术的利用成立在大数据基础之上,,, ,,, ,二者的缜密结合在为传统行业带来巨大的刷新。。。。。作为天生数据化的金融领域,,, ,,, ,智能化更是必然的选择。。。。。作为金融领域的领军企业,,, ,,, ,安然在行业内率先发展智能认知技术的研发及利用,,, ,,, ,在多多金融及医疗业务场景中获得了当先的成就,,, ,,, ,充分验证了智能化的关键作用。。。。。本次汇报将介绍智能化分析挖掘在安然金融业务的利用实际。。。。。

  • Z6集团|中国官网
    Qiang Yang
    Conference Chair of AAAI-21, Chief AI Officer of WeBank, Professor at HKUST, President of HKSAIR
    Artificial Intelligence and Data Governance

    Qiang Yang is Chief Artificial Intelligence Officer of WeBank and Chair Professor of CSE Department of Hong Kong Univ. of Sci. and Tech. He is the Conference Chair of AAAI-21, President of Hong Kong Society of Artificial Intelligence and Robotics(HKSAIR) , the President of Investment Technology League (ITL) and a former President of IJCAI (2017-2019). He is a fellow of AAAI, ACM, IEEE and AAAS. His research interests include transfer learning and federated learning. He is the founding EiC of two journals: IEEE Transactions on Big Data and ACM Transactions on Intelligent Systems and Technology. His latest books are Transfer Learning and Federated Learning.

  • Z6集团|中国官网
    Qinping Zhao
    CAE Academician
    Panel Discussion: AI Technologies at Infection Point

            赵沁平,,, ,,, ,推算机软件与虚构现实领域专家。。。。。1982年进入北京航空学院任教,,, ,,, ,先后担任教研室主任、系主任、副校长。。。。。1995年调教育部,,, ,,, ,先后任国务院学位委员会办公室主任、教育部副部长。。。。。曾担任一届全国政协教科文卫体委员会副主任,,, ,,, ,一届中国科协副主席。。。。。现任教育部科技委主任、北京航空航天大学堂学术委员会主任、中国仿真学会理事长、虚构现实技术与系统国度沉点尝试室主任。。。。。

            多年来一向在推算机科学领域进行虚构现实技术和系统钻延祝。。。。先后主持实现了国度天然科学基金沉大、沉点项目、国度863、国防科技等20余项国度科技打算项目。。。。。在我国率先发展了机械类比推理钻研,,, ,,, ,主持设计实现了芯片级类比推理器,,, ,,, ,构建了类比推理机系统。。。。。作为我国虚构现实领域的启发者之一,,, ,,, ,持续进行虚构现实技术钻延注系统研造和利用推广。。。。。在虚构现实高精度急剧建模和实时真切绘造方面提出一系列新步骤、新算法。。。。。主持成立了我国第一个基于广域专用推算机网络的散布式虚构环境DVENET。。。。。主持研造了拥有自主知识产权的实时三维图形平台BH_GRAPH、散布交互仿真利用法式运行平台BH_RTI。。。。。组织开发了“虚实融合的飞机驾驶舱布局设计系统”、“抗战成功70周年阅兵规划三维推演和决策系统”、“医疗手术模拟器”等国内有影响的虚构现实利用系统。。。。。

            在国际、国内学术刊物和国际学术会议颁发学术论文180余篇,,, ,,, ,出版专著3部。。。。 ;;; ;;;窆瓤蒲Ъ际踅∫坏冉1项、国度科学技术进取二等奖2项、国度技术发现奖1项,,, ,,, ,省部级科技奖9项,,, ,,, ,获何梁何利科技进取奖。。。。 ;;; ;;;窆确⑾肿ɡ谌60余项,,, ,,, ,国际专利4项。。。。。

            2013年当选为中国工程院院士。。。。。

Time Session Speaker Venue
2021.04.25 10:20-10:40 Opening Invited guests Administration Building, CUHK-Shenzhen
Online: Bilibili
2021.04.25 10:40-11:15 From Deep Learning to Deep Understanding Harry Shum Administration Building, CUHK-Shenzhen
Online: Bilibili
2021.04.25 11:15-11:50 Strong AI and Brain-Inspired Computing Wen Gao Administration Building, CUHK-Shenzhen
Online: Bilibili
2021.04.25 15:00-15:35 5G Network Performance Models and Optimization Methods Zhiquan Tom Luo Administration Building, CUHK-Shenzhen
Online: Bilibili
2021.04.25 15:35-16:10 AI-Empowered Financial Service Innovation Jing Xiao Administration Building, CUHK-Shenzhen
Online: Bilibili
2021.04.25 16:10-16:30 Tea break / Administration Building, CUHK-Shenzhen
2021.04.25 16:30-17:05 Artificial Intelligence and Data Governance(Online) Qiang Yang Administration Building, CUHK-Shenzhen
Online: Bilibili
2021.04.25 17:05-17:40 Distributed AI at Large Scale(Online) David Robertson Administration Building, CUHK-Shenzhen
Online: Bilibili
2021.04.26 08:30-09:05 Building the Skills for China’s Digital Economy(Online) James Heckman Administration Building, CUHK-Shenzhen
Online: Bilibili
2021.04.26 09:05-09:40 Five Important Problems in Visual Intelligence Yunhe Pan Administration Building, CUHK-Shenzhen
Online: Bilibili
2021.04.26 09:40-10:15 Aerial Robotics for Precision Agriculture(Online) Vijay Kumar Administration Building, CUHK-Shenzhen
Online: Bilibili
2021.04.26 10:15-10:50 Micro-NanoRobotics: from Robotic Cell Surgery to Intracellular Manipulation Yu Sun Administration Building, CUHK-Shenzhen
Online: Bilibili
2021.04.26 10:50-11:10 Tea break / Administration Building, CUHK-Shenzhen
2021.04.26 11:20-12:00 Panel Discussion (Private Session): AI Technologies at Infection Point Yunhe Pan, Qinping Zhao, Shafei Wang, Yun Sun, Shipeng Li, Haifeng Wang Administration Building, CUHK-Shenzhen