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ARTIFICIAL INTELLIGENCE, BRAIN-COMPUTER INTERFACE, AND BIG DATA

来源:研究生院  编辑:张铎     日期:2019/2/26 10:52:31   点击数:589  

时间:2019-03-05 10:00

地点:行政楼240会议室

报告人:Professor Grebogi

 

澳门皇冠844网站“创源”大讲堂研究生学术讲座

讲座时间:2019年3月5日(周二),上午10:00-11:00

座地点:九里校区行政楼240会议室

讲座题目:ARTIFICIAL INTELLIGENCE, BRAIN-COMPUTER INTERFACE, AND BIG DATA

主 讲 人:Celso Grebogi, Institute for Complex Systems and Mathematical Biology King’s College, University of Aberdeen Aberdeen, UK

个人概况:

Professor Grebogi has remained at the University of Maryland as a Full Professor until 2001 when he resigned to go back to Brazil as Full Professor at the Institute of Physics, University of Sao Paulo. In 2005, he was invited to join the University of Aberdeen as the "Sixth Century Chair in Nonlinear and Complex Systems". There he has been the Founding Director of the Institute for Complex Systems and Mathematical Biology in 2009. He was also the Co-founder of the Institute of Pure and Applied Mathematics in 2013.

讲座内容

This lecture will touch on some basic ideas in Artificial Intelligence, Brain-Computer Interface and Big Data, and their applications. Artificial intelligence is understood when computers emulate cognitive functions associated with human mind, while brain-computer interface is a technology that allows a human to control peripheral devices with thought. Big data, on one hand, refers to data sets that are so voluminous that require hardware with larger capacity and more capable data processing software. But on the other hand, often big data does not mean a lot of data, especially in scientific and technological applications, as the volume of available data from experiments or observations are small. Big data, in this case, refers to the ability to understand, analyse, make predictions and even to control the system, based on software methods and techniques to handle small data sets. One such powerful method developed by us recently – see references below – is compressive sensing.

主办:研究生院

承办:力学与工程学院


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