APNNS Advanced Forum Series: Deep Learning and Artificial Intelligence Winter School 2018

1 - 4 Feb 2018, KMUTT, Bangkok, Thailand

About


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), 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. 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 field of AI research.

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 Advanced Forum Series on Deep Learning and Artificial Intelligence (DLAI) Winter School is catered to all interested students, engineers, and researchers who may have some basic knowledge of machine learning and AI.

Due to the overwhelming response of registrants, the venue has been moved to the main campus of King Mongkut's University of Technology Thonburi (KMUTT), from the KX Building. The dates remains on February 1-4, 2018. The Joint Symposium on Computational Intelligence (JSCI), organized by the IEEE-CIS Thailand Chapter will be collocated with DLAI.

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 2 panel sessions which will cover many of the active current topics in DL and AI. In addition, there is an Industry Session by IBM on Workshop on AI, as well as an Industry Hackathon Session by Krung Thai Bank (KTB).

Time / Place Day 1 - 1 Feb.
LIB108
KMUTT Library
Day 2 - 2 Feb.
LIB108
KMUTT Library
Day 3 - 3 Feb.
Jumrud Cha-yapong Auditorium
CB2, KMUTT
Day 4 - 4 Feb.
Jumrud Cha-yapong Auditorium
CB2, KMUTT
8:30 - 9:00 Register @KMUTT Library Register @KMUTT Library Register @Jumrud Cha-yapong Auditorium Register @Jumrud Cha-yapong Auditorium
9:00 - 10:15 Brain-like Artificial Intelligence with Nikola Kasabov
[VIDEO]
Deep Learning and Human Audio-Visual Pathway with Soo-Young Lee
[VIDEO]
Hybrid Deep Learning for Anomaly Detection with Sung-Bae Cho
[VIDEO]
Randomized Algorithms in AIwith Irwin King
[VIDEO]
10:15 - 10:45 Coffee Break Coffee Break Coffee Break Coffee Break
10:45 - 12:00 Deep Learning in Spiking Neural Networks with Nikola Kasabov
[VIDEO]
Optimizing Hyper-parameters for Deep Learning Using Meta-heuristic Algorithms with Simon Fong
[VIDEO]
Deep Learning for Emotion and Top-down Attention with Soo-Young Lee
[VIDEO]
Understanding Brain Internal States with Soo-Young Lee
[VIDEO]
12:00 - 13:30 Lunch Lunch Lunch Lunch
13:30 - 14:45 Panel Session I: AI and Brain-like Learning Systemswith Nikola Kasabov, Soo-Young Lee, Gerard Saverimuthu, Weng-Kin Lai and Jonathan Chan
[VIDEO]
An ML Approach to Identify Natural Rubber Latex Quality with Weng-Kin Lai
[VIDEO]
Panel Session II: Advances in Deep Learningwith Soo-Young Lee, Simon Fong, Sung-Bae Cho, Kiyota Hashimoto and Jonathan Chan
[VIDEO]
Multi-armed Bandit in Learning Systemswith Irwin King
[VIDEO]
14:45 - 15:00 Coffee Break and Group Photo Coffee Break and Group Photo Coffee Break and Group Photo Coffee Break and Group Photo
15:00 - 17:00 Industry Session I: IBM PowerAI[VIDEO] Joint Symposium on Computational Intelligence (JSCI) [VIDEO] Industry Session II/Hackathon: Krung Thai Bank (KTB) and Deep Genomics Prospects and Challenges of Deep Learning with Sung-Bae Cho
[VIDEO]
18:00 - 19:30 Informal Dinner with Speakers Informal Dinner with Speakers Informal Dinner with Speakers

Speakers


Professor Soo-Young Lee

Soo-Young Lee

Professor of Electrical Engineering
Korea Advanced Institute of Science and Technology
Professor Nikola Kasabov

Nikola Kasabov

Professor of Computer Science and Director KEDRI
Auckland University of Technology
Professor Irwin King

Irwin King

Associate Dean (Education), Faculty of Engineering and Professor at the Department of Computer Science and Engineering
The Chinese University of Hong Kong
Associate Professor Simon James Fong

Simon James Fong

Associate Professor at Department of Computer and Information Science
Data Analytics and Collaborative Computing Laboratory
University of Macau, Taipa, Macau SAR
Professor Sung-Bae Cho

Sung-Bae Cho

Professor at Department of Computer Science
Yonsei University
Professor Weng-Kin Lai

Weng-Kin Lai

Associate Professor at Department of Electrical & Electronic Engineering
Tunku Abdul Rahman University College

Sponsors

Organizers

Location

King Mongkut's University of Technology Thonburi (KMUTT)
126 Pracha Uthit Rd., Bang Mod, Thung Khru, Bangkok 10140, Thailand.
Phone: +66 2470 8000, +66 2427 0039

KMUTT MAP

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