

MORE ABOUT OUR TALKS
THE YIN AND YANG OF A.I. IN THE LEGAL INDUSTRY — A REPLACEMENT OR JUST A DISRUPTION?
Foster YIM (Barrister-in-law)
2:00 p.m. - 3:00 p.m.
As a firm believer of constant changes (YI) or the Hegelian Dialectic, Foster believes that, with big data, artificial intelligence would be the future. But what does it mean? Rather than shouting an empty slogan, in this talk, Foster will share his views on: (1) What A.I. can / cannot do to the legal industry? (2) What are the opportunities and threats? (3) How should one position himself / herself in this 4th Industrial Revolution?
*This talk is fully supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project Reference No.: UGC/IDS14/16).

TRENDS IN TECHNOLOGY FOR TRANSLATORS:
DEEP LEARNING AND AUTOMATIC TRANSLATION
Sai-cheong SIU
(Associate Professor, School of Translation;
Director, Deep Learning Research and Application Centre)
3:15 p.m. - 4:00 p.m.
This talk aims to highlight innovations in translation technology in the age of artificial intelligence. Key topics include (1) an overview of state-of-the-art tools for translators, (2) an introduction to A.I., deep learning and neural machine translation, and (3) smart ways of using automatic translation systems.
*This talk is fully supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project Reference No.: UGC/IDS14/16).


ABOUT US
Deep Learning Research and Application Centre
The Deep Learning Research & Application Centre (DLC) was established in 2017 with funding support from the Research Grants Council. We aim to popularize deep learning and apply the technology to projects in diverse fields, as well as providing a cloud computing environment for nurturing specialists. As of today, we are the first and only deep learning research centre in Hong Kong.
The DLC is dedicated to supporting the University in its vision as a leading private university recognised for excellence in teaching, learning and research. We will continue to work closely with our fellow academics, external partners and professionals to explore exciting research opportunities for deep learning and realise its full potential across domains.

GET IN TOUCH
Room H001, Old Hall, The Hang Seng University of Hong Kong, Hang Shin Link, Siu Lek Yuen, Shatin, N.T., Hong Kong
(852) 3963 5632