大数据时代的创新思维

大数据时代的思维创新有着与以往时代不同的方法及途径.从认知计算——思维的形式化入手,以处理不确定性推理、智能驾驶、自然语言理解及群体智能为例,阐述在大数据时代创新所应采取的思维方式.作为培育创新型人才的大学,除重视单一学科建设外,更多地是要强调多学科的协同和交叉,将分隔的垂直学科划分转变为交叉、协作式的科学研究,在开放协作的环境下寻求创新.

Innovationthinking in the Petabyte Era

The methods of thinking innovation in the petabyte era are different from the past. Starting from cognitive computing which exhibits as thinking formalization, this paper explains the ways of thinking used to do innovation in the petabyte era. For example, how to deal with uncertainty reasoning, intelligent driving, natural language understanding （NLU） , and swarm intelligence. As a university, our mission is to cultivate innovative talents, so we should pay more attention to emphasize multi-disciplinary collaborative and cross, but not only some single discipline construction. We should turn the separation of vertical disciplines into scientific research with cross and collaboration, and then explore innovations under the open environment.