UoA Joint Research Forum 2023 will be held

UoA Joint Research Forum 2023　-30th Anniversary Commemorative Event-

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NEW! Click here to view the live on YouTube.

＜ Day 1 ＞ Sunday, October 1 https://youtu.be/fze4RRZpf6k

＜ Day 2 ＞ Monday, October 2 https://youtu.be/lF9X3dR0TB4

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On the Emergence, Reproduction, and Utilization of Intelligence　
-Roles of the University of Aizu in the New AI Era -

Recently, artificial general intelligence (AGI) such as ChatGPT has been a hot topic. Through keynote speeches and panel discussions, we will discuss what the UoA, which specializes in computer science and engineering, can do in the era of AGI from multiple perspectives such as new educational content, strategic research themes, and methods of contributing to society.

In the presentations of research results from the centers and clusters, we will introduce examples of industry-academia-government collaboration, joint research, and cases of regional development.

☆ Date: 9:00-17:30, Sunday, October 1 Part 1, Part 2, 9:30-15:00, Monday, October 2 Part 3

☆ Venue: The University of Aizu

Part 1（Graduate Student Poster Session /Introduction of the Graduate School, IEEE, and Other Academic Societies）
Area in front of the Administrative Liaison Office and Lecture Room S4, Research Quadrangles

Part 2（Keynote Speeches / Panel Discussion） Lecture Theater, Lecture Hall

Part 3（Research Center & Cluster Reports） Lecture Theater, Lecture Hall

　＊The forum will be streamed live on YouTube

　＊Simultaneous interpretation will only be available at the venue.

☆ Audience: Companies, researchers, teachers, students, and interested members of the general public

☆ Organizer: The University of Aizu, CAIST, AI Center, ARC-Space, UoA IEEE Student Branch

Program：

＜ Day 1 ＞ Sunday, October 1

Part 1: Graduate Student Achievements Presentation *Organizer: UoA IEEE Student Branch

9:00 - 12:00

○ Poster Session by graduate students - For more information, please visit the following web page. http://web-ext.u-aizu.ac.jp/conference/ieeeuoas/ ○ Introduction of the Graduate School, IEEE, and Other Academic Societies

Part 2: The Role of Universities in the AGI Era　[Keynote Speeches/Panel Discussion]

13:00 - 13:05	Opening Remarks ZHAO Qiangfu, Vice Chairperson of the Board of Executives, the University of Aizu
13:05 - 13:55	Keynote Speech 1 "Advancements in Semiconductor Technology and AI Computing" UCHIYAMA Kunio, Executive Director, AI Chip Design Center, The National Institute of Advanced Industrial Science and Technology (AIST)
13:55 - 14:05	Break
14:05 - 14:55	Keynote Speech２ "Novel IoT Techniques of Cutting-Edge ICT Techniques for Moon and Mars Explorers" MURATA Takeshi, Research Executive Director, ICT Testbed Research and Development Promotion Center, National Institute of Information and Communications Technology
14:55 - 15:45	Keynote Speech 3 "AI Development for EEG Diagnostic Support with Cloud System and its Operation Case Study" TANAKA Toshihisa, Professor, Department of Advanced Electrical and Electronic Engineering, Institute of Engineering, Tokyo University of Agriculture and Technology
15:45 - 15:55	Break
15:55 - 17:25	Panel Discussion "Industry-Academia-Government Collaboration in the AI Era" UCHIYAMA Kunio MURATA Takeshi 　TANAKA Toshihisa 　IZUMI Koichi（Senior Manager of Infotainment and Sound Business Units, ALPS ALPINE CO., LTD.） 　HISADA Masayuki（CEO, Aizu Computer Science Laboratories, Inc.） 　ISHIBASHI Shiro (Director of UBIC, the University of Aizu) Chair: Professor CHEN Wenxi
17:25 - 17:30	Closing Talk ISHIBASHI Shiro, Director of UBIC the University of Aizu

＜ Day 2 ＞ Monday, October 2

Part 3: Research Center & Cluster Achievements Presentation　[Research Center & Cluster Reports]

9:30 - 9:40	Opening Talk NAKAMURA Akihito, Director of CAIST, the University of Aizu
9:40 - 9:55	Joint Research Programs in ARC-Space as a COE of Archived Data Science for Lunar and Planetary Explorations ARC-Space DEMURA Hirohide/OKUDAIRA Kyoko
9:55 - 10:10	Cloud Robotics Systems including Cyber-Physical Systems and Online Judge ARC-Robot YAGUCHI Yuichi/NARUSE Keitaro
10:10 - 10:25	Nonvolatile Logic Circuit Technology and Its Application to IoT Devices ARC-IoT SUZUKI Daisuke/OKUYAMA Yuichi
10:25 - 10:35	Break
10:35 - 10:50	Toward the Realization of Image Recognition Technologies that Contribute to Human Life ARC-Vision TOMIOKA Yoichi/OKUYAMA Yuichi
10:50 - 11:05	Smart Design - A Human-Centered Adaptive Human-Computer Collaboration Smart Design TAKAHASHI Shigeo/NISHIDATE Yohei
11:05 - 11:20	Vehicular Satellite Communication Diagnosis and Optimization by Environmental Sensing and Learning Advanced Networking (ARC-Networking) LI Peng/SU Chunhua
11:20 - 11:35	Multi-Agent Simulation with Large Language Models for Media Effects Estimation ~ Collaboration with Hakuhodo DY Media Partners Data Science Engineering HASHIMOTO (ARC-DSE) Yasuhiro/OFUJI Kenta
11:35 - 12:05	Q&A
12:05 - 13:00	Lunch Break
13:00 - 13:15	The Future of Cybersecurity and AI: Evolution of Threats and Countermeasures Information Security (ARC-Security) NAKAMURA Akihito/SU Chunhua
13:15 - 13:30	Exploring Green Computing-Inspired Resilient Knowledge Discovery Solutions for Big Transportation Data Intelligent Transportation Systems (ARC-iTransportation) RAGE Uday Kiran/SAXENA Deepika
13:30 - 13:45	AI Model Development with the Help of LLMs Automatic AI System Design (ARC-AutoAI) WATANOBE Yutaka/MARKOV Konstantin
13:45 - 14:00	Exploring the Intersection of Optics, AI, and Medical Engineering Innovation Biomedical Information Engineering (ARC-BME) ZHU Xin/LU Guowei
14:00 - 14:15	Recent Progress in ARC-HPC High Performance Computing & Simulation (ARC-HPC) NAKASATO Naohito/ASAI Nobuyoshi
14:15 - 14:30	Activities of Satellite Data Utilization Cluster Satellite Data Utilization (ARC-SDU) OHTAKE Makiko/OGAWA Yoshiko
14:30 - 14:55	Q&A
14:55 - 15:00	Closing Remarks DEMURA Hirohide, Director of ARC-Space, the University of Aizu

▷ Participation is free of charge （Pre-registration required）

　　application form：https://forms.gle/3z9CxwWsiA79fXri7　

▷ This forum will be livestreamed on the University of Aizu's official YouTube channel.

However, please note that video will be in Japanese, and questions will not be taken from the live chat or comments section.

*We will announce the URL on this page at a later date.

Please subscribe to the University of Aizu's official YouTube channel and wait for further updates.　　　→ https://youtube.com/@univaizu

▷ UoA Joint Research Forum 2023 JointResearchForum2023_EN.pdf

*Additional information about the forum will also be announced on the University of Aizu's official social media accounts below.

X (Formerly Twitter)　https://twitter.com/univ_aizu

Facebook　　　　　　　https://www.facebook.com/univaizu/

Keynote Speech Outline

Keynote Speech 1 "Advancements in Semiconductor Technology and AI Computing" UCHIYAMA Kunio

Since the early 2010s, a new paradigm in chip development has been sought in the semiconductor field, with an awareness of the end of Moore's Law. In this context, a neural network proposed by the University of Toronto won a worldwide image recognition contest in 2012, triggering the third AI boom and that led to the practical application of AI in various industries. Thanks to the recent emergence of generative AI, the number of parameters in AI models continues to increase at a pace far beyond that of Moore's Law. For this reason, the development of AI chips to realize efficient AI processing has become a driver of cutting-edge semiconductor technology.
In light of these trends, this speech will provide an overview of recent developments and worldwide trends in semiconductor technology and AI computing. It will also introduce the initiatives of the AI Chip Design Center, which is jointly operated by AIST and the University of Tokyo to support AI chip development in Japan.

Keynote Speech 2 "Novel IoT Techniques of Cutting-Edge ICT Techniques for Moon and Mars Explorers" MURATA Takeshi

One of the characteristics of previous space missions, including lunar and planetary exploration, has been their enormous cost. For example, in satellite communications, the theme of this speech, components such as transponders and antennas are purpose-built systems. On the other hand, there is also a trend of countries pursuing low-cost satellite projects, as typified by small satellites. Because of their low cost, there are countless cases of developing countries launching their own small observation satellites. In the field of satellite communications as well, it is expected that using COTS communication components will become a major trend in the future. COTS (commercial off-the-shelf) is a term used in the aerospace industry, which has long suffered from chronic high costs because many components are either developed independently or specially ordered. It refers to the use of off-the-shelf commercial components with sufficient quality and functionality in order to speed up development and reduce costs. In other words, by introducing the TCP/IP protocol suite widely used in terrestrial communications to satellite communications, commercial communication systems can be adopted, leading to a significant reduction of the cost of communication systems. This speech will introduce IP-based satellite communications from the perspective of communication protocols.

Keynote Speech 3 "AI Development for EEG Diagnostic Support with Cloud System and its Operation Case Study" TANAKA Toshihisa

Various elemental technologies have been proposed for automatic EEG diagnostic support, but they are not widely used. In recent years, thanks to machine learning techniques such as deep learning, the accuracy of detecting biomarkers such as abnormal discharges and detecting seizures from long-term recorded EEG have remarkably improved. However, there are many problems to be solved, such as data collection and model development procedures. This speech will summarize the functions required for automatic diagnostic support of epileptic EEG and will clarify the path for development of technologies including AI. It will also introduce a technique for detecting epileptic spike waves using a method called the self-attention mechanism, as an example of machine learning development. Data is the key to developing machine learning algorithms, but the test data in each medical institution does not necessarily have a format suitable for developing diagnostic support algorithms. In addition, it is not practical to ask medical specialists to do labeling for algorithm development. Given those things, this speech will propose a system that can automatically format and label data in a usual diagnostic process, and describe a demonstration experiment. In addition, it will describe the prospects for future sustainable technology development.