Big data development drives artificial intelligence
The term "big data" comes earlier than the term "artificial intelligence". It defines both hardware technology (platform) and software technology (analysis). However, in order to make it clear that the relationship between big data and artificial intelligence, we still start from its essence, big data is massive, multi-dimensional, multi-format data.
The development of artificial intelligence often has a learning process. Now that artificial intelligence can make a major breakthrough, it has to be said that it is because of the rapid development of big data over the years. With the birth of a variety of sensors and data acquisition technologies, we began to have massive amounts of data that were previously unimaginable. At the same time, we began to conduct detailed analysis on the mass data in a certain area. These are the preconditions for promoting "intelligence" in a certain area.
Professor Huang Yihua of the Department of Computer Science at Nanjing University brings the theme "Large-Data Machine Learning: From Algorithms to Systems," from the perspective of big-data analysis technology, domestic and international development status, major technical issues, typical tool platforms at home and abroad, and future The main development trends and other aspects are discussed with you.
Professor Huang Yihua is a standing committee member and deputy secretary general of the Big Data Expert Committee of the Chinese Computer Society. The big data lab he leads has become an important contributor to many open source software.
Artificial Intelligence and Robotics
In recent years, artificial intelligence and robots have become hot topics in people's lives. There are probably many people who will confuse AI and robots. In fact, the relationship between the two can be roughly regarded as: artificial intelligence gives the robot the ability to think, and the robot inherits the external performance of artificial intelligence. In fact, there is no necessary connection between the two. However, with the progress of the times, the mutual promotion of the two forms an inseparable relationship.
At present, the products of various well-known robot companies are all based on the development of artificial intelligence technology as an important strategic goal. Whether it is an industrial robot or a service robot, a new generation of robots combined with artificial intelligence technology has advantages over traditional robots.
At the meeting, Prof. Sining, professor of robotics and automation at the University of Hong Kong and Chair of IEEE RAS, will give us unique views and insights on the connection between artificial intelligence and robots. Professor Xi Ning has devoted himself to the research of robotics, manufacturing automation, intelligent control and systems for many years, and has profound accomplishments in the field of artificial intelligence.
Intelligent Computing Technology in the Age of Artificial Intelligence
In the past, the progress of intelligent computing technology has always been inseparable from artificial intelligence, especially the development of artificial neural network technology. However, artificial intelligence technology characterized by symbolic reasoning is too dependent on rules; it is artificially characterized by self-learning and self-adaptation. Neural network technology can not accurately handle various small sample event sets in actual problems and has even been questioned by people.
In recent years, new methods such as SVM (Support Vector Machine), kernel method, and deep learning have been born one after another, making intelligent computing technology not only able to deal with problem objects such as large data sets of massive data, but also adaptively processing small samples. The data of the event set makes this technology attractive to people.
Professor Wang Guojun is the chief scientist of the National Key R&D Project. He is currently the Dean of Graduate School of Chongqing University of Posts and Telecommunications. He believes that big data intelligent computing technology is one of the key technologies for realizing the value of big data.
Professor Wang Guokai will present a speech report on "Multi-granular Big Data Intelligent Computing" at this conference, and proposes an innovative research approach for multi-granular big data intelligent computing, from multi-granularity calculation, multi-granularity recognition, multi-granularity clustering, Multi-granularity decision-making, multi-granular joint problem solving and other aspects introduce the current research work results.
Visual search and recognition system
Recently, a 9-second surveillance video brushed the circle of friends. Different from previous monitoring, the video of this surveillance video accurately identifies the types of motor vehicles and non-motor vehicles, as well as the pedestrian’s age, gender, and wearing, etc., and the information in the video is clear.
It is understood that this video is China's newly developed real-time pedestrian monitoring and identification system and is an important part of the "China Skynet" project. Using computer vision technology, determine whether there are pedestrians in the image or video sequence and give precise positioning. Combining technologies such as visual positioning and visual recognition with artificial intelligence technology, it has been widely used in smart device monitoring, human behavior analysis, and intelligent transportation.
Combining this technology, Professor Ji Rongji from Xiamen University brings the keynote speech “The Compactness of Visual Search and Recognition System†and will introduce to you the compact representation of visual features for visual applications in the media analysis and computation research group of Xiamen University in the past two years. Depth network compression related reports. Prof. Jirong Rong has been focusing on the development of big data-driven computer intelligent processing systems for multimedia content retrieval, social multimedia analysis, and visual content understanding, and has achieved fruitful results in this area.
Intelligent System Cognition and Reasoning
The goal of artificial intelligence is to make computers become as intelligent systems as humans, and cognition and reasoning have always been considered as the most concentrated expression of artificial intelligence. It is of great significance to realize the cognitive and reasoning of intelligent systems in the actual operating system.
To realize the cognitive and reasoning of intelligent systems, it requires that it integrate neural networks, computer technology, intelligent decision-making and other technologies. Therefore, it serves as a multi-technology complex and provides an effective way to analyze and process all kinds of data.
Prof. Lin Fangzhen has been focusing on the research of artificial intelligence in cognition and reasoning. The keynote speech of “Cognition and Reasoning of Intelligent Systems†brought by this conference will discuss with the participants how to get the artificial intelligence system. And apply common sense, in-depth knowledge, and normative knowledge.
Lin Fangzhen is currently a professor of computer science at the Hong Kong University of Science and Technology and the American Artificial Intelligence Association (AAAI) Fellow. Received a Ph.D. in artificial intelligence from Stanford University. He also won the Hong Kong Yankee Foundation 2006 Researcher Award and the best paper award at several international artificial intelligence conferences.
In addition to a strong guest lineup, the conference will also work with you to interpret the academic and R&D progress that is most noteworthy at home and abroad in the field of artificial intelligence this year and to lay out large markets in the future. In the same period, it launched a number of professional forums in depth and breadth, bringing together thousands of elites from top internationally renowned companies, industry experts, and professional analysis organizations in the field of artificial intelligence to share examples of typical technology applications of many well-known companies and integrate production, study and research. In the same period, it will also hold an influential annual appraisal and award, review the results of innovation and development of the industry, and praise and affirm companies that have made active explorations and outstanding contributions to the development of the artificial intelligence industry.
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