Psychology, Computer Science and Neuroscience have a history of shared questions and inter-related advances. Recently, new technology has enabled those fields to move from “toy” small-scale approaches to the study of language learning from raw sensory input and to do so at a large scale that constitutes daily life. The three primary goals of my research are 1) to quantify the statistical regularities in the real world, 2) to examine the underlying computational mechanisms operated on the statistical data, and 3) to apply the findings from basic science to real-world applications. In this talk, I will present several projects in my research lab to show that the advances in human learning and machine learning fields place us at the tipping point for powerful and consequential new insights into mechanisms of (and algorithms for) learning.
Event Date: 28/06/2023 Speaker: Prof. Chen YU (University of Texas at Austin) Hosted by: Faculty of Humanities
This talk begins with an overview of the interconnection between literature and philosophy in modern Chinese literature. Then, it probes into the three existentialist allegories in Fortress Besieged (1947), a philosophical novel written by Qian Zhongshu, a polyglot scholar of East-East comparative literature and philosophy. The novel’s overarching allegory, i.e., a fortress besieged, will be compared in juxtaposition with several philosophical allegories about the mutability and limitations of human life in Western philosophy. This talk concludes with a reflection on the seminal influence of this novel in contemporary Chinese society where “fortress besieged” has become an everyday word referring to one’s existential crisis. Event date: 9/2/2023 Speaker: Dr. Heidi Huang (Lingnan University) Hosted by: Confucius Institute of Hong Kong