学术报告
——必赢242net官网第44期
题目： AI technologies for building intelligent chatbots and knowledge bases
报告人：张瑞教授 墨尔本大学
时间：2019年12月16日（星期一） 9:30—11：30
地点：学院101会议室
学术报告简介:
Intelligent virtual assistants (or chatbots) such as Amazon Alexa and Google Homes are getting great success. These kind of dialogue based human-computer interface systems will grow more prevalent due to their more natural and convenient interaction with users. In this talk, I will give an overview of how chatbots work and how they can have dialogues with humans intelligently making use of knowledge bases. I will also discuss recent advances in AI technologies for building intelligent chatbots and knowledge bases.
报告人简介:
Dr Rui Zhang is a Professor and leader of the Big Data and Knowledge Research Theme at the School of Computing and Information Systems of the University of Melbourne. He is an internationally leading researcher in the area of AI (machine learning), big data and data mining. Professor Zhang has won several awards including the prestigious Future Fellowship by the Australian Research Council in 2012, Chris Wallace Award for Outstanding Research by the Computing Research and Education Association of Australasia (CORE) in 2015, and Google Faculty Research Award in 2017. His inventions have been adopted by major IT companies such as AT&T and Microsoft. He proposed a novel technique for computing primitive statistics efficiently on extremely fast TCP/IP packet streams, which is used in many backbone servers of AT&T. He developed a temporal index called version compressed TSB-tree, which has been implemented in Microsoft’s flagship database product, Microsoft SQL Server. Dr Rui Zhang obtained his Bachelor's degree from Tsinghua University in 2001, PhD from National University of Singapore in 2006, and has then started as a faculty member in The University of Melbourne since 2007. Before joining the University of Melbourne, he has been a visiting research scientist at AT&T Labs-Research in New Jersey and at Microsoft Research in Redmond, Washington.