The concept of deep learning (DL) has been known in the neural network community for many years already. With the onset of more powerful computing facilities, especially the prevalence of graphical processing units (GPUs) and tensor processing units (TPUs), DL has been applied successfully and effectively in many state-of-the-art applications including computer vision, speech recognition, object detection, drug discovery, and so on. More recently, the techniques in DL/AI are leveraged for the current COVID-19 pandemic. DL basically uses deep neural network architecture with multiple layers to represent data with increasing abstraction and may be applied to supervised, unsupervised, as well as reinforcement learning. It is one of the fastest growing fields of AI research and current researches include deployment for COVID-19.
The Asia Pacific Neural Network Society (APNNS) is a professional society that promotes active interactions among researchers, scientists, and industry professionals who are working in Neural Network and related fields in the Asia Pacific region. APNNS was formalized as a legal entity in 2014, having evolved from the previous Asia Pacific Neural Network Assemby (APNNA) that was established back in 1993 in Nagoya, Japan, under the leadership of Professor Shun-Ichi Amari. More information about APNNS may be obtained at the Society website - www.apnns.org
The APNNS Education Forum series on Deep Learning and Artificial Intelligence Winter School 2020 (DLAI4) is catered to all interested students, engineers, researchers, executives and administrators who may have some basic knowledge of machine learning and AI. With the successful inaugural DLAI back on Feb 1-4, 2018, the second edition on Dec 10-13, 2018, and third edition on June 29 to July 3, we are pleased to be able to offer the 4th DLAI at this time. The venue is online due to the current pandemic and it will be held from November 18-22, 2020. DLAI4 is collocated with ICONIP2020, CSBio2020 and will feature Keynote and Invited Speakers from these two conferences as well as IEEE Distinguished Lecturers and other notable speakers.
As DLAI4 is a virtual event and collocating with ICONIP2020 and CSBio2020, it is offered free-of-charge to all registrants of these two conferences. All participants need to register online first. As there are limited seating available as an online event, priorities will be given to APNNS Members, IEEE-CIS/SMC/RAS Members, INNS Members, ICONIP2020 and CSBio2020 delegates and students.
The DLAI Winter School will cover many aspects of deep learning with several talks by world renowned researchers in form of lectures/tutorials/workshops and panel sessions which will cover the most active current topics in DL and AI and their applications.
Program
Tentative Schedule - All times are given in Bangkok time (UTC+7)
NOTES: Main Zoom session + 1 or more breakout rooms during breaks/lunch/networking
If the delegate would like to join a different breakout room, please move back to the main
room and send a private message to the ‘host’ to assign the delegate to join a
different breakout room.
Breakout Networking Rooms: APNNS/IEEE-CIS Thailand/IEEE-SMC
WA/IEEE-CIS-RASWA/NVIDIA/3BB/Hackathon/… offered at different times
Zoom will confirm all successful DLAI4 registrants via an email.
REGISTRATION
Thank you for your interesting.
Registration will be opened soon at Zoom.
Organizing Committee
Jonathan H. Chan, King Mongkut’s University of Technology Thonburi
(Chair)
Phayung Meesad, King Mongkut’s University of Technology North
Bangkok
Kitsuchart Pasupa, King Mongkut’s Institute of Technology
Ladkrabang
Kiyota Hashimoto, Prince of Songkla University
Kuntpong Woraratpanya, King Mongkut’s Institute of Technology
Ladkrabang
Sansanee Auephanwiriyakul, Chiang Mai University
Nipon Theera-Umpon, Chiang Mai University
Vajirasak Vanijja, King Mongkut’s University of Technology Thonburi
Vithida Chongsuphajaisiddhi, King Mongkut’s University of
Technology Thonburi
Thanyathorn Thanapattheerakul, Cohere
Jaturong Kongmanee, Michigan State University
Lance Fung, Murdoch University
Kevin Wong, Murdoch University
Ahmed Abu-Siada, Curtin University
Hannes Herrmann, Curtin University
Guanjin Wang, Murdoch University
Teddy Mantoro, Sampoerna University
Sponsors
Organizers
Location
All programs will be hosted online and the schedule given in Bangkok time (UTC+7)
