Dr Simon See
Director and Chief Solution Architect
NVIDIA AI Technology Centre, NVIDIA

Recently, Deep Learning which is a subset of Artificial Intelligence has made great progress. The accuracy of computer vision, automatic speech recognition, image processing and language translation using deep learning have already surpassed human capability.
However, these technologies required huge amounts of data to train. The size of the neural network has grown a few orders in term of size. In order to achieve higher level artificial intelligence, we need to develop algorithms that can be trained with much smaller data sizes or simulated models. In this talk, Dr Simon See discusses the state of art AI algorithm, applications and how simulation is being used for Artificial General Intelligence.
Bio
Dr Simon See is currently the Solution Architecture and Engineering Director and Chief Solution Architect for Nvidia AI Technology Center. He is also a Professor and Chief Scientific Computing Officer at Shanghai Jiao Tong University, Professor in Beijing University of Posts and Telecommunications (BUPT), and Professor in Universitas Indonesia (UI). He is being conferred as a Distinguished Fudan Scholar in September 2018 by Fudan University, Shanghai, China. Previously Dr See is also the Chief Scientific Computing Advisor for BGI (China) and has a position in Nanyang Technological University (Singapore) and King-Mong Kung University of Technology (Thailand). Dr See is currently involved in a number of smart city projects, especially in Singapore and China. His research interests are in the area of High-Performance Computing, Big Data, Artificial Intelligence, Machine Learning, Computational Science, Applied Mathematics and Simulation Methodology. Dr See is also leading some of the AI initiatives in the Asia Pacific. He is a Steering Committee member of NSCC’s flagship High Performance Computing Conference Supercomputing Asia (SCA) since March 2018. He has published over 200 papers in these areas and has won various awards.
Dr See is also the member of SIAM, IEEE, and IET. He is also the committee member of more than 50 conferences.
Dr See graduated from the University of Salford (UK) with a Ph.D. in electrical engineering and numerical analysis in 1993. Prior to joining NVIDIA, Dr See worked for SGI, DSO National Lab. of Singapore, IBM, International Simulation Ltd (UK), Sun Microsystems and Oracle. He is also providing consultancy to a number of national research and supercomputing centers.