Newswise — Distinguished scholars from around the world gathered at the HK Tech Forum on Data Science and AI (DSAI) from 26 to 27 July to address challenging issues in driving data science and AI technology for the benefit of society. The 2-day forum was jointly organised by the Hong Kong Institute for Advanced Study, Hong Kong Institute for Data Science (HKIDS), and School of Data Science (SDSC) of the City University of Hong Kong (CityU).
The DSAI Forum was the first in CityU’s HK Tech Forum series, which invited a host of world-leading scholars to promote collaboration in tackling long-standing scientific puzzles and challenging technology issues.
President Way Kuo of CityU extended a warm welcome to all the participants at the opening ceremony on 26 July. He said we need profound and deep research in data science and AI as we embrace the challenges and opportunities.
“It is an honour for us to host such a conference, which will give us an opportunity to engage with delegates on a topic of great interest and potential. Over the past decade, CityU has been one of the most progressive universities in the world. Our dynamism, energy and boldness in tackling difficult problems stand out among our many unique features,” he said.
The HK Tech Forum series at CityU was initiated by President Kuo. Under the theme “Empowering society for a better future”, it serves as a dynamic platform at CityU for examining innovative strategies and approaches to major challenges in science and technology, said Professor Xun-Li Wang, chief coordinator of the Forum series, and Head of the Department of Physics at CityU.
Professor Joe Qin Sizhao, Dean and Chair Professor of the SDSC and Director of the HKIDS, was the coordinator of the DSAI Forum. He said the aim of the two-day forum is to discuss new technological developments among world-leading DSAI scholars in Hong Kong and across the world.
The first day of the forum featured a plenary talk by the recipient of the Turing award Professor John Hopcroft, IBM Professor of Engineering and Applied Mathematics in Computer Science at Cornell University, US, on the topic “Math for the Big Data Revolution”.
In this inspiring talk, he explained the mathematical background needed to be successful in the information age. The size of data has become enormous. One needs significant mathematical tools to process and abstract information from big data collections, and processing larger and larger data sets will become common.
The second day of the forum featured another plenary speech by famed AI entrepreneur Dr Kai-Fu Lee, Chairman, and CEO of Sinovation Ventures. In his talk, titled “How AI will Transform Our World”, Dr Lee guided us through the most current breakthroughs in the fields of AI, automation and robotics, life sciences, new energy, quantum computing, and the cross-pollination possibilities across these disciplines.
World-renowned academic and industry leaders were invited to give keynote speeches at the Forum to address pressing issues and challenges, including Professor Yi Ma, University of California, Berkeley, US; Professor Dacheng Tao, JD Explore Academy; Professor Nick Sahinidis, Georgia Institute of Technology, US; and Professor Qiang Yang, Hong Kong University of Science and Technology, among others.
Topics discussed during the two-day forum include “CTRL: Closed-Loop Data Transcription via Rate Reduction”; “Scalable, Heterogeneity–Aware and Trustworthy Federated Learning”; “Data-driven Optimization”; and “Quantum Computing for Optimization and Machine Learning: …….