APNNS Education Forum Series: Deep Learning and Artificial Intelligence Summer School 2020 (DLAI3)
29 June - 3 July 2020, Bangkok, Thailand + AoE
LIVE
NEWS
[1 Jul 2020] The talk by Prof. Akira Hirose has been rescheduled for Thu 2 Jul at 1.00 to 2.00
pm BKK time (UTC+7) instead.
Our apologies for those who were expecting it to be on Wed 1 Jul.
[29 Jun 2020] Program schedule is updated with an additional Industry
Talk by NVIDIA on Thu 2 Jul from 4-5 pm. All times are given in Bangkok time (UTC/GMT+7)
[27 Jun 2020] We are using the Zoom platform (primarily) for the event, with backup using
Microsoft Teams.
In order to ensure an orderly event and for security reasons, we have decided to require all
delegates to have a Zoom account and need to
register in the Zoom system beforehand. (Exceptions are for Teams users on a case-by-case
basis.)
[27 Jun 2020] If you have registered earlier via Google Forms but have not received a
confirmation, or have not confirmed your participation yet,
please click here
to confirm.
[27 Jun 2020] Program schedule is now confirmed! All times are given in
Bangkok time (UTC/GMT+7)
[24 Jun 2020] Tentative program is now posted!
[21 Jun 2020] Tentative Schedule will be posted soon, and confirmation email with instructions
on how to join DLAI3 will be sent shortly afterwards
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 Summer School
2020 (DLAI3) 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, and the second edition on Dec 10-13, 2018, we are pleased to be able to offer
the 3rd
DLAI this year. The venue is online due to the current pandemic and it will be held from June 29 to
July 3, 2020. We will
feature
NVIDIA Deep Learning Institute (DLI) Workshops as well on the first two days.
As DLAI3 is a virtual event, it is offered free-of-charge to all academics. Non-academics can attend
the NVIDIA DLI Workshops for certification at a deeply-discounted nominal cost that is payable to
NVIDIA DLI.
All other sessions are also free-of-charge to non-academics.
However, there are limited seating available as an online event, priorities will be given to APNNS
Members,
IEEE-CIS/SMC/RAS Members, INNS Members, and students.
The DLAI Summer 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.
The participants are invited to join in hackathon sessions with specific provided datasets.
Program
Confirmed 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
The Deep Learning and Artificial Intelligence Summer School 2020 (DLAI3)
29 June - 3 July, 2020, Bangkok, Thailand
Registration is now closed.
We will confirm all successful DLAI3 registrants via an email.
(Details for the NVIDIA DLI Workshop registration will be provided in the notification
email.)
REGISTRATION
Thank you for your interesting.
The registration will be opened soon.
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
Vajirasak Vanijja, King Mongkut’s University of Technology Thonburi
Vithida Chongsuphajaisiddhi, King Mongkut’s University of
Technology Thonburi
Thanyathorn Thanapattheerakul, King Mongkut’s University of
Technology Thonburi
Lance Fung, Murdoch University
Kevin Wong, Murdoch University
Ahmed Abu-Siada, Curtin University
Hannes Herrmann, Curtin University
Guanjin Wang, Murdoch University
Sponsors
Organizers
Location
All programs will be hosted online and the schedule given in Bangkok time (UTC+7)
