Speech Title: KnowNet: A Large Knowledge
Model
Abstract:
With the rise of Artificial Intelligence, we are fortunate to witness
the transition from achieving machine’s automation to achieving
machine’s autonomy. On one hand, the success of Artificial Intelligence
is guaranteed by the availability of big data which is the result of the
formation of large systems that are interconnected by various networks.
On the other hand, the importance of Artificial Intelligence is due to
the urgent demand for self-intelligence by robots and machines of
tomorrow. Interestingly, the critical step toward achieving machine’s
self-intelligence is the ability of designing large knowledge models
instead of improving existing databases. In this invited talk, I will
share with the audience our research works which aim at providing a
general guiding principle for the design of a large knowledge model
under the new paradigm of AI 3.0. The published research findings could
be found inside 1) Xie M., *Jayakumar K. S. and *Chia H. F., 2004,
Meaning-centric Framework for Natural Text/Scene Understanding by
Robots, International Journal of Humanoid Robotics, Vol. 1, No. 2, pp.
375-407, and 2) Xie M., 2024, Top-down Design of Human-like Teachable
Mind, Special Issue in Celebrating IJHR’s 20th Year Anniversary,
International Journal of Humanoid Robotics.
Biography: Xie Ming received the
B.Eng degree in control and automation engineering from East-China
Institute of Textile Technology (now, under the name of Donghua
University, Shanghai, China). Subsequently, as a recipient of the
nation's prestigious overseas scholarship of Chinese government, he has
completed the postgraduate studies and doctorate research works, and has
received the Master degree from the University of Valenciennes (France)
in 1986 as well as the PhD degree from the University of Rennes (France)
in 1989. Since 1986, he has worked as Research Assistant at IRISA-INRIA
Rennes, Expert Engineer at INRIA Sophia-Antipolis, Lecturer/Senior
Lecturer/Associate Professor of Nanyang Technological University, Fellow
of Singapore-MIT Alliance (SMA) (Affiliated with Innovation in
Manufacturing Systems and Technology Program), Guest Professor of
Huazhong University of Science and Technology (2002, 2006), Professor
awarded by China's Jiangsu Provincial Government (2014), and Dean of
College of Electrical Engineering and Control Science at Nanjing Tech
University (2014-2016). He was the General Chair of 2007 International
Conference on Climbing and Walking Robots (CLAWAR), the General Chair of
2009 International Conference on Intelligent Robotics and Applications
(ICIRA), the Co-founder of the International Journal of Humanoid
Robotics (SCI/SCIE indexed), Co-founder of Singapore-China Association
for Advancement of Science and Technology, Co-founder of Robotics
Society of Singapore. He has taught the courses such as Robotics,
Artificial Intelligence, Applied Machine Vision, Measurement and Sensing
Systems, Microprocessor Systems, and University Physics. In terms of
scientific research, he has authored three books in English, two books
in Chinese, and two edited books in English. He has published several
book chapters, over 10 patents of invention, over 40 research papers in
scientific journals and over 100 research papers in international
conferences. He was the recipient of one best conference paper award
from World Automation Congress, the recipient of one best conference
paper award from CLAWAR, the recipient of one outstanding paper award
from International Journal of Industrial Robot, the recipient of one
Gold Prize (S$8K) from CrayQuest, the recipient of one Grand Champion
Prize (S$15K) from CrayQuest, the recipient of one A-Star's Best
Research Idea Prize (S$5K), the recipient of one Silver Medal from
Dragon Design Foundation.