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论机器意识的可能和实现 On the Rise of Machine Consciousness
Date:2018/10/12     Browse:541

Speaker:     Professor Jun Wang, UCL

Time:          11:00-12:00, Oct 12

Location:    Room 1C-101, SIST Building

Host:          Prof. Yang Yang

Abstract:

在人类历史上,我们现在可以首次构建一个由算法驱动的社会。在这个社会中,许多人工智能实体会在一起“生活”,并相互学习、互动,最重要的是,它们会与人类交互。在本次演讲中,我将回顾狭义人工智能和机器学习研究的最新进展,并讨论我对通用人工智能路线图的个人观点。我将快速回顾近期的认识科学中对人类意识研究的现状,并指出当前的机器学习方法对智能化决策的优点与不足。在演讲最后部分,我会提出两个学科之间的潜在联系,并给出我们在强化学习研究中的一些最新尝试和行业应用。

In this presentation, Professor Wang will review the latest development in AI and Machine Learning, and discuss his views on the general AI roadmap. He will look back the current status of human consciousness research in cognitive science and point out the advantages and disadvantages of current Machine Learning methods of intelligent decision making. In the final part of the presentation, he will present the potential links between two disciplines and give some latest attempts and industry applications in reinforcement learning research.

Bio: 

汪军,伦敦大学学院(UCL)计算机系教授,互联网科学与大数据分析专业主任。主要研究智能信息系统,主要包括数据挖掘、计算广告学、 推荐系统、机器学习、强化学习、生成模型等,已发表了100多篇学术论文, 多次获得最佳论文奖,在信息检索领域的权威出版物Foundation and Trends of Information Retrieval上出版两本学术专著。是国际公认的计算广告学 和智能推荐系统专家。2007年,在美国获得了由微软“超越搜索—语义计算 和互联网经济学奖”。此外,他还是2014Yahoo! FREP的获奖者之一,ACM SIGIRCIKM的领域主席,Springer Journal of Big Data的编委,也因在计 算广告数据科学的工业应用方面的突出成就,获得UCLB One-to-Watch Award 2016

Professor Jun Wang obtained his PhD degree in Delft University of Technology, the Netherlands; MSc degree in National University of Singapore, Singapore; and Bachelor degree in Southeast University, Nanjing, China. Currently, he is Chair Professor of Data Science, Computer Science, University College London, and Founding Director of MSc Web Science and Big Data Analytics. He is also Co-founder and Chief Scientist in MediaGamma Ltd, a UCL spin-out focusing on AI for intelligent audience decision making. His team won the first global real-time bidding algorithm contest with 80+ participants worldwide. He was a recipient of the Beyond Search Semantic Computing and Internet Economics award by Microsoft Research and also received Yahoo! FREP Faculty award. He has served as an Area Chair in ACM CIKM and ACM SIGIR. He was a technical advisor for startups such as Last.Fm, Passiv Systems, Massive Analytic, Context Scout, and Polecat, and had various projects with BT, Microsoft, Yahoo!, Alibaba etc.





SIST-Seminar 18076