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Professor Zhang Jiang (BNU)’s visit to CSSC (UESTC) - 2017-09-13

    9月13日,北京师范大学系统科学学院张江教授「1」与集智AI学园联合创始人张倩女士,共同到电子科技大学基础与前沿研究院吕琳媛教授CSSC(Complex Systems and Social Computing)团队参观访问。张江老师参观了位于电子科技大学清水河校区的创新中心众创空间,随后又参观了位于高新西区电子科技大学“一校一带”创新创业基地的CSSC实验室

    On September 13th, Professor Zhang Jiang (Department of Systems Science, Beijing Normal University) [1]and Ms. Zhang Qian (co-founder of Swarma Campus) jointly paid a visit to Professor Lü Linyuan’s lab, CSSC (research team of Complex Systems and Social Computing, Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, UESTC). Mr. Zhang visited the Innovation Center in the Qingshuihe Campus of UESTC, and then visited the CSSC Laboratory in the Innovation and Entrepreneurship Base of the UESTC.

 

    在访问过程中,张江老师介绍了自己创立集智俱乐部的初衷和愿景,并与吕琳媛老师、大数据研究中心的荣智海老师以及CSSC实验室的同学们就大数据时代促进人工智能飞速发展、复杂科学与人工智能在现实世界中的应用、人工智能发展前景做了深入探讨,讨论气氛十分活跃,在座同学们皆表示受益匪浅。

    During the visit, Mr. Zhang introduced his original intention and vision of creating the Swarm Agents Club (SA Club), and together with Professor Lü, Professor Rong Zhihai (the big data research center, UESTC) and the students of CSSC laboratory, Professor Zhang developed in-depth discussions on the rapid promotion of artificial intelligence (AI) on the large data age, the application of complexity science and AI in our real world and the profound prospects of AI. The atmosphere in the meeting room was heated and all students here benefited very much.

    张江老师认为,要适用复杂系统研究方法,必须满足两个前提:其一,被研究对象需要由多个部分或多种成分构成,其二,多个部分或多种成分之间应存在交互连通。尽管现在的人工智能相对于60年前已经有了突飞猛进的发展,但是控制、反馈与人机交互仍旧是所有智能系统的主旋律。

    Professor Zhang believed that to use complex systems research methods, researchers must meet two prerequisites: first, the object to be studied should be made of several parts or components, and second, there must be some interactions or links between those parts or components. Though relatively to 60 years ago, the current AI has been on a rapid development, Cybernetics, Feedback and Human-Computer Interaction (HCI) are still the main themes of all intelligent systems.

    从这个角度说,与其说机器在崛起,不如说人与机器的互动方式正在经历伟大的变革。与其说深度学习是一场人工智能革命,还不如说它是一场人机交互界面的革命,它让我们和机器之间的反馈环路大大缩短,信息流动的带宽大大增加。通过与机器的融合,我们不仅可以扩展我们的四肢与身体,甚至可以将我们的精神意识延伸到网络的每一个角落。期望我们的智能机器能够自动从大量数据中提取、发现其中蕴含的动力学规律,从而实现机器处理事务,人类掌握机器,人与机器共生发展。

    On this point of view, it’s better to say that the interaction between human and machine rather than the machine is on the rise, and it’s better to say that the Deep Learning is a HCI interface revolution rather than an AI revolution. Deep Learning makes the feedback loops between humans and machines greatly shortened, and makes the information flow’s bandwidth greatly increased. Through the integration with machines, humans can not only expand their limbs and body but even extend their spiritual consciousness to every corner of the network. “I hope that our intelligent machine can automatically extract the dynamics rules inside from large numbers of data, thereby processing multiple businesses for humans in the future. Machines master businesses, humans master machines, a symbiotic relationship would be built between humans and machines,” said Professor Zhang.

 

「1」张江,北京师范大学系统科学学院教授,博士生导师,集智俱乐部、集智AI学园创始人,腾讯智库专家,阿里智库专家。主要研究方向:机器学习、复杂网络、计算社会科学。

[1] Zhang Jiang, professor, doctoral supervisor in School of Systems Science, Beijing Normal University, founder of SA Club and Swarma Campus, Tencent Think Tank expert, Ali Zhiku expert. The main research direction: Machine Learning (ML), Complex Network (CN), Computational Social Science (CSS).

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