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june20 alizilla Machine intelligence must go hand-in-hand with human wisdom, Alibaba Group founder Jack Ma said Thursday.
Speaking at the World Artificial Intelligence Conference, Ma said that humans should strive to better understand themselves and the Earth, especially in the face of a global crisis like the Covid-19 outbreak.
“This pandemic has shown us how little we know about ourselves and how little we know about the Earth. Because we don’t know ourselves, don’t know the world we are living in, don’t understand the Earth and don’t know how to cherish and preserve the Earth, we have created many troubles and disasters,” Ma said via video message. He added that, despite the resources, wealth, knowledge and technological prowess enjoyed by society today, human wisdom was still the key to addressing the world’s challenges and was needed to “enhance communication and cooperation” to find impactful and long-lasting solutions.
With the theme of “Intelligent World, Indivisible Community,” the three-day conference features presentations, keynote speeches and panel discussions with prominent global figures from the realm of science and technology, including Turing Award winners Yoshua Bengio and Andrew Yao, Director General of the United Nations Industrial Development Organization Li Yong and Tesla CEO Elon Musk.
In his speech during the opening ceremony, Ma said that while the technologies of the past improved our way of living, the technologies of today and tomorrow should help humankind survive better.
“During the pandemic, people have used internet technology to survive, not just for themselves, but also for others,” he said. “There are many cases: going to school, having a meeting, shopping, visiting a doctor – all of these activities rely on digital technology. To innovate in order to survive is the strongest and most irresistible force.”
He also pointed to an AI algorithm that Alibaba’s research and innovation institute DAMO Academy developed to help diagnose Covid-19. Informed by data from thousands of computed-tomography scans and trained by deep learning, the algorithm can accurately detect the virus in 20 seconds, vastly shortening the time it takes for doctors to review CT scans, confirm cases and move on to treatment and supportive measures.
Ma said that such innovations were indicative of the quickening pace of digitalization in the world.
“Technological transformation will come earlier and its speed will accelerate. We need to be ready,” he said
As a professor at the University of Montreal, Yoshua Bengio won the Turing Award for his outstanding contributions to deep learning technology, which is the highest honor in the field of computer science. It is the deep learning technology that has set off a wave of artificial intelligence renaissance, and has made driverless cars, instant speech translation, and face recognition possible.
Professor Manuel Blum, winner of the Turing Award in 1995, member of the American Academy of Sciences (National Academy of Sciences, National Academy of Engineering, American Academy of Arts and Sciences), is currently a professor in the School of Computer Science at Carnegie Mellon University. He is a pioneer in cryptographic systems and program verification, one of the main founders of computational complexity theory, and a master of theoretical computer science in the world.
A computer scientist and philosopher of Israeli origin in the United States, known for his outstanding achievements in artificial intelligence probabilistic methods and the development of Bayesian networks. In 2011, he won the Turing Award for his outstanding contributions to artificial intelligence through the development of algorithms for probability and causal reasoning.
Professor Yao Qizhi is a world-renowned computer scientist and recognized as an international pioneer in cryptography and quantum computing. In 2000, he was awarded the Turing Award (the highest international award for computer science), and he is the only Chinese scientist who has received this honor. He successively taught at Massachusetts Institute of Technology, Stanford University, California Berkeley and Princeton University. In 2004, he resigned from Princeton University and returned to China to teach at Tsinghua University. In 2005, he founded the "Computer Science Experimental Class ("Yao Class"), which was hailed as "the best undergraduate computer education in the world". In 2019, the "Tsinghua Academy Artificial Intelligence Class ("Smart Class)" was specially established. In 2011, the "Tsinghua Quantum Information Center" and "Interdisciplinary Information Research Institute" were established, with the goal of realizing quantum computers and promoting the innovative combination of information technology and many fields.
Mr. Li Yong, Director-General of the United Nations Industrial Development Organization, is a senior economic and financial policy maker with extensive work experience. During the more than ten years of serving as the Vice Minister of the Ministry of Finance of the People's Republic of China and a member of the Monetary Policy Committee of the People's Bank of China, Mr. Li Yong actively participated in the formulation and coordination of fiscal, monetary and industrial policies to promote the sustained and stable development of the Chinese economy.
On November 1, 2018, the ITU member states re-elected Houlin Zhao as the Secretary-General of the ITU. Mr. Zhao will start his second four-year term on January 1, 2019. Mr. Zhao is an Information and Communication Technology (ICT) engineer and has held various senior management positions in ITU. Mr. Zhao was elected Secretary-General of ITU for the first time in 2014. Prior to this, he served as the Deputy Secretary-General of ITU for eight years, mainly assisting the Secretary-General in the daily management of human resources, financial management, efficiency improvement, and efforts to expand the ITU membership (especially members of academic institutions). work. Previously, he was twice elected as Director of the ITU Telecommunication Standardization Bureau (TSB). The bureau is responsible for formulating technical standards to ensure the interconnection and interoperability of information and communication technologies throughout the world. Earlier he served as a senior consultant in the Telecommunication Standardization Bureau for 12 years.
Mr. Chen Jie is currently the director of the State Key Laboratory of "Intelligent Control and Decision of Complex Systems", the vice chairman of the Chinese Society of Automation, the executive director of the Chinese Society of Artificial Intelligence, and an IEEE Fellow. The main research direction is multi-index optimization and intelligent control of complex systems under dynamic environment, and multi-agent collaborative control. In recent years, he has won 1 second prize of National Natural Science Award, 2 second prize of National Science and Technology Progress Award, 4 first prize of provincial and ministerial level, and the "Science and Technology Progress Award" of the He Liang He Li Fund in recent years. He has published more than 90 papers included in SCI, obtained more than 40 invention patents as the first inventor, published 4 academic monographs, 1 textbook and 1 translation.
Feng Jianfeng, Changjiang Distinguished Professor, Chief Professor of Shanghai Mathematical Center, Dean of the Institute of Brain-inspired Intelligence Science and Technology, Fudan University. He has been committed to the development of theories and methods of mathematics, statistics and computers for a long time, and applied them to solve specific problems in neuroscience, various brain diseases and intelligent algorithms originally. He has done outstanding work in the dynamic research of single neuron and neuron network, design and analysis of machine learning algorithm, stochastic control theory, causality analysis, etc. Many articles have been published in the sub-journals of Nature and JAMA, Brain, PNAS, PRL, IEEE series. The current research interests are mainly focused on the analysis, mining and theoretical research of massive data at different scales. As a British scientist who has made outstanding contributions and has great potential, he won the Watson Research Merit Award (the first Chinese) from the Royal Society in 2011.
Professor Guo Yike, a member of the Royal Academy of Engineering, was appointed as the Vice President (Research and Development) of Hong Kong Baptist University on January 1, 2020. Professor Guo has been a professor in the Department of Computing at Imperial College London since 2020 and the director of the Institute of Data Science at Imperial College London since 2014. He is also a Fellow of the European Academy of Sciences (MAE) and a Fellow of the British Computer Society (FBCS). He is currently a researcher on several major data science projects in the UK and Europe, including the Idea-Fast 47 million euro biomarker exploration research project for neurodegenerative diseases. He won the “Most Innovative Award” at the 2002 International Supercomputing Conference; in 2014, he won the “Best Practice Award” from Bio-IT World, the top conference of the international bio-industry industry; in 2017, he won the UK National Technology Award “2017 Yunchan"
He Jifeng is an academician of the Chinese Academy of Sciences and a famous computer software scientist. Mainly engaged in credible artificial intelligence, computer software theory and application research, served as the chief scientist of the National Natural Science Foundation of China's major research projects, the Ministry of Science and Technology 973 plan, and the 863 plan theme project, and led the National Natural Science Foundation of China's innovative research group.
Martial Hebert is a leading researcher in the field of computer vision and robotics, and Dean of the School of Computer Science at Carnegie Mellon University. Received a PhD in Computer Science from the University of Paris. In 1984, he joined the Robotics Institute (Robotics Insti-tute), the world's largest robotics education and research institution. After joining the CMU faculty, Hebert became a member of the Autonomous Land Vehicles project, laying the foundation for research on autonomous driving technology. His research field focuses on computer vision, including environmental perception modeling, high-efficiency recognition technology, 3D scene reconstruction and interpretation, 3D signal processing, video analysis, and detection, tracking and recognition of dynamic systems.
Dr. Peter Lee is a senior vice president of Microsoft, responsible for leading Microsoft Research and technology incubation. He is fully responsible for the eight research institutes of Microsoft worldwide, as well as the new technology incubation that empowers Microsoft products and business units, including today's rapidly growing medical and life science businesses. Peter Lee has extensive management experience, covering the entire process from basic research to business impact. Before joining Microsoft in 2010, Peter Lee served as the department director of the US Department of Defense Advanced Research Projects Agency (DARPA), leading the research and development of advanced machine learning, crowdsourcing, and big data analysis with practical capabilities. Prior to his tenure at DARPA, Peter Lee served as the chair of the Department of Computer Science at Carnegie Mellon University. As a thought leader, he gave extensive lectures and writings on topics such as technology trends and policies. Peter Lee is also a board member of the Allen Artificial Intelligence Research Institute and Kaiser Permanente School of Medicine. Peter Lee is an ACM Fellow and serves many national research institutions. He served on the US President’s Strengthening National Cyber Security Committee, presided over a study on the impact of federal research investment on economic growth for the US National Academy of Sciences, and provided professional support to the US House Science and Technology Committee and the US Senate Committee on Commerce.
Mei Hong, academician of the Chinese Academy of Sciences, deputy dean of the Academy of Military Sciences, and dean of the Artificial Intelligence Research Institute of Shanghai Jiaotong University. Research direction: big data, intelligent software development methods, system software, and has made a series of results in component software middleware, development methodology and tool environment. He has published more than 150 academic papers and has won the best papers and outstanding paper honors in international conferences many times.
He obtained a PhD in Information Engineering from the University of Tokyo in 1983 and joined ETL (Electronic Technology Laboratory). From 2001 to 2004, he served as the director of the AIST Network Aided Research Center of the Japan Institute of Industrial Technology. From 2004 to 2016, he served as the President (current Honorary President) of the Japanese public Hakodate Mirai University. From 2016 to 2018, he was hired by the University of Tokyo as a project professor in the frontier education field of artificial intelligence. He has been in his current position since 2018.
Jeffrey S. Rosenschein is the Sam and Will Strauss Professor of Computer Science in the Faculty of Engineering and Computer Science at the Hebrew University of Jerusalem, as well as the head of the multi-agent system research group. The research team has achieved success in the early research fields of game theory and mechanism design for multi-agent negotiation and planning. Professor Jeffrey S. Rosenschein holds a bachelor's degree in applied mathematics from Harvard University (1979), and a master's degree in computer science (1982) and a doctorate (1986) from Stanford University. His key research areas are the cooperation and competition between agents, and the use of economic theory, voting theory, and game theory to establish an appropriate foundation for the field of multi-agent systems in artificial intelligence. So far, he has published papers on the above topics in more than 200 journals, conferences and seminars, and is the co-author of "Encounter Rules: Design Practices for Automatic Negotiation Between Computers" (Massachusetts Institute of Technology Press, 1994 year). The book had a profound impact on the adoption of game theory techniques in the field of artificial intelligence.
Professor Rosenschein is also an AAAI researcher, ACM researcher and EurAI researcher, and was awarded the 2013 ACM/SIGART Autono-mous Agents Research Award (ACM/SIGART Autono-mous Agents Research Award). From 2004 to 2007, he served as President of the International Autonomous Agency and Multi-Agent System Foundation (IFAAMAS). At the 27th International Federation of Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI / ECAI 2018) held in Stockholm, Sweden in 2018, he served as the co-chair (currently a member of the Board of Directors of the International Federation of Artificial Intelligence, The term of office is from 2015 to 2020). Professor Rosenschein also served as the editor-in-chief of the Journal of Autonomous Agents and Multi-agent Systems ("JAAMAS) from 2008 to 2014, and served as the associate editor of the Journal of Artificial Intelligence Research ("JAIR) from 2008 to 2011.
Bart Selman is one of the editors-in-chief of "A 20-year Roadmap for Artificial Intelligence Research in the United States". He has co-authored more than 100 publications, including six best paper awards. He has received the National Science Foundation CAREER Award and Alfred P. Sloan Research Award. His papers have been published in various conferences and journals in nature, science, and AI and computer science. He has received the National Science Foundation CAREER Award and Alfred P. Sloan Research Award. He is a member of the American Association for Artificial Intelligence and a fellow of the American Association for Scientific Development.
Tao Dacheng, a professor at the University of Sydney, the director of the AI Center of the University of Sydney, and the chief scientist of the AI Science & Technology AI. He is a member of the Australian Academy of Sciences and a foreign member of the European Academy of Sciences. He is also an ACM Fellow, IEEE Fellow, and AAAS Fellow. His main research direction is representation learning, including multi-perspective learning, multi-label learning, multi-task learning, transfer learning, etc. He has published more than 200 papers in authoritative magazines and important conferences, is a highly cited scholar in the engineering and computer fields, and has won many best paper awards.
Dr. Shen Xiangyang is a world-renowned scientist, scholar and technology industry leader.
For nearly 30 years, Dr. Shen Xiangyang has been engaged in scientific research, technology popularization, and talent training related to computer science and artificial intelligence. He focuses on computer vision, graphics, human-computer interaction, statistical learning, pattern recognition, and robotics. He has published more than 100 papers in top academic journals in the world, and has more than 50 US patents. Influential world-class experts in the field. With his outstanding academic achievements in the field of computer science and artificial intelligence, he was elected as a foreign academician of the National Academy of Engineering (The National Academy of Engineering, NAE) and a foreign academician of the Royal Academy of Engineering (The Royal Academy of Engineering, UK).
Toby Walsh is a professor of artificial intelligence at the University of New South Wales and a member of the Australian Academy of Sciences. He was named the "rock star" of Australia's digital revolution by the "Aus-tralian newspaper". Professor Walsh strongly advocates restrictions on the application of artificial intelligence to ensure that artificial intelligence can be appropriately used to improve human lives. In discussions about killer robots, he has been acting as a leader, and has given speeches on the subject at United Nations conferences in New York and Geneva. He often speaks on TV and radio. He has compiled two books in the field of artificial intelligence for general readers. The latest one is called "2062: The World Made by Artificial Intelligence". The book is available in Chinese, English, German, Japanese, Korean, Polish, Russian and Vietnamese version.
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