Instructors/Speakers Prof. Shiguang Shan Institute of Computing Technology (ICT) Chinese Academy of Sciences (CAS) Abstract AI needs to see the world as human beings in order to complete its missions smoothly. In the last 5 years, Computer Vision has made remarkable progress by leveraging ABC engines: Algorithms, Big-data, and Computing. In this talk, I will firstly introduce the recent progress in computer vision, which are mainly achieved by deep learning from big-data on GPU. Then, I will analyze that the ABC methodology is not enough to develop a seeing AI. We need learning algorithms that can learn from more complex data conditions, which is called by me X-data driven methods with X-data standing for small data, noisy data, weakly supervised ...

Instructors/Speakers Prof. Qing LI City University of Hong Kong Abstract The publicly available data such as the massive and dynamically updated news and social media data streams (a.k.a. big data) covers the various aspects of social activities, personal views and expressions, which points to the importance of understanding and discovering the knowledge patterns underlying the big data, and the need of developing methodologies and techniques to discover real-world events from such big data, to manage and to analyze the discovered events in an efficient and elegant way. In this talk we introduce techniques of discovering events from the multi-modal big data and building an event cube model to support event queries and analysis, by addressing the tasks of data cleansing, ...

Instructors/Speakers Prof. Yanchun ZHANG Victoria University, Austria Fudan University, China Abstract Due to the recent development or maturation of database, data storage, data capturing, and sensor technologies, huge medical and health data have been generated at hospitals and medical organizations at unprecedented speed. Those data are a very valuable resource for improving health delivery, health care and decision making and better risk analysis and diagnosis. Health care and medical service is now becoming more data-intensive and evidence-based since electronic health records are used to track individuals' and communities' health information (particularly changes). These substantially motivate and advance the emergence and the progress of data-centric health data and knowledge management research and practice. In this talk, we will introduce several innovative ...

Instructors/Speakers Dr. Abhay KOTECHA Division of Structural Biology University of Oxford Abstract The physical properties of viral capsids are major determinants of vaccine efficacy for picornaviruses which impact on human and animal health. Current vaccines are produced from inactivated virus. Inactivation often reduces the stability of the virus capsid, causing a problem for Foot and Mouth Disease Virus (FMDV) where certain serotypes fall apart into pentameric assemblies below pH 6.5 or at temperatures above 37°C, destroying their effectiveness in eliciting a protective immune response. As a result, vaccines require a cold chain for storage and animals need to be frequently immunised. Globally there are seven FMDV serotypes: O, A, Asia1, C and SAT-1, -2 and -3, contributing to a dynamic ...