Skip to: →Outline, →Schedule, →Series Contents, →Certification, →Lecturer, →Registration
Outline
The top lecture program provides opportunity to study advanced area of research. Currently, lecture program on “Real Progressive AI research in the world” is available. The lecturer of this program is world-famous professor in AI. Inviting such renowned lecturer, participants have a good opportunity to take the lecture.
Schedule and Series Contents
This top lecture program is based on 6 sessions.
Session 1: Artificial Intelligence: History and Deep Learning
- In this lecture, we start from the definition on intelligence, artificial intelligence and agents. Then briefly overview the history of artificial intelligence. The recent advance of deep learning technology is explained.
Session 2: Multiagent Systems: Theory and Practice
- This lecture present the definition of multiagency systems, and then go though theories including game theories, and describe practical applications.
Session 3: Mechanism Design: Mechanism of Google Adwords
- This lecture present the theoretical framework on mechanism design and the will present the mechanism of google Adwords, which is one of the most significant mechanism for Google.
Session 4: Automated Negotiations
- This lecture presents the ideas and systems on automated negotiation where agents autonomously negotiate on behalf of their users.
Session 5: ChatGPT: Large Language Model
- This lecture presents the brief history of LLMs and the details of Transformer. Also ChatGPT is introduced.
Session 6: Collective Intelligence: Agents that Facilitate Crowd Discussion
- This final lecture presents the basic notion on collective intelligence. Then, we present the recent result of our JST CREST project on agents that facilitate crowd discussion.
Fee
Registration fee to attend the session as audience is determined based on the size of contract.
- Full (6 sessions): This is a package of 6 series.
- General 30-40USD, Student 20-30USD
- Half (3 sessions): This is a package of 3 series. If you have a plan to attend 4 or more lecture series, we recommend you to purchase Full Series Plan.
- General 20-30USD, Student 15-20USD
- One session: This plan is charged per participation. If you have a plan to attend 2 or more lecture series, we recommend you to purchase Half Series Plan or Full Series Plan.
- General 15-20USD, Student 10-15USD
Certification
Type of certification is categorized based on the achivement.
- Certificate of Excellence
- Certification of Achievement
- Certification of Participation
How to apply
IIAI receives an application from study program/school of the university. Individual application is not accepted.
- Step 1: Please contact us through the contact form.
- Step 2: Interviewing about the condition and preference
- Step 3: Scheduling the lecture series
- Step 4: Payment through credit card or bank transfer
Past series
Schedule in 2023 program
Series 1: May 25 (Thu), 2023: 18:00-20:00 (GMT +7) @ Online + Bina Nusantara University, Jakarta
Series 2: May 29 (Mon), 2023: 15:30-17:30 (GMT +8) @ Online + Samarinda
Series 3: May 31 (Wed), 2023: 13:30-15:30 (GMT +8) @ Online + Banjarmasin
Series 4: June 21 (Wed), 2023: 13:30-15:30 (GMT +8) @ Online + Makassar
Series 5: June 22 (Thu), 2023: 14:30-16:30 (GMT +7) @ Online + Lampung
Series 6: August 30 (Wed), 2023: 13:30-15:30 (GMT +8) @ Online + Bali
Lecture
Prof. Takayuki Ito, Ph.D.
Kyoto University, Japan *
Dr. Takayuki ITO is Professor of Kyoto University. He received the B.E., M.E, and Doctor of Engineering from the Nagoya Institute of Technology in 1995, 1997, and 2000, respectively. From 1999 to 2001, he was a research fellow of the Japan Society for the Promotion of Science (JSPS). From 2000 to 2001, he was a visiting researcher at USC/ISI (University of Southern California/Information Sciences Institute). From April 2001 to March 2003, he was an associate professor of Japan Advanced Institute of Science and Technology (JAIST). From April 2004 to March 2013, he was an associate professor of Nagoya Institute of Technology. From April 2014 to September 2020, he was a professor of Nagoya Institute of Technology. From October 2020, he is a professor of Kyoto University. From 2005 to 2006, he is a visiting researcher at Division of Engineering and Applied Science, Harvard University and a visiting researcher at the Center for Coordination Science, MIT Sloan School of Management. From 2008 to 2010, he was a visiting researcher at the Center for Collective Intelligence, MIT Sloan School of Management. From 2017 to 2018, he is a invited researcher of Artificial Intelligence Center of AIST, JAPAN. From March 5, 2019, he is the CTO of AgreeBit, inc. He is a board member of IFAAMAS, Executive Committee Member of IEEE Computer Society Technical Committee on Intelligent Informatics, the PC-chair of AAMAS2013, PRIMA2009, the Local Arrangements Chair of IJCAI-PRICAI2020, General-Chair of PRIMA2014, and was a SPC/PC member in many top-level conferences (IJCAI, AAMAS, ECAI, AAAI, etc). He received the JSAI (Japan Society for Artificial Intelligence) Contribution Award, the JSAI Achievement Award, the JSPS Prize, 2014, the Prize for Science and Technology (Research Category), The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science, and Technology, 2013, the Young Scientists’ Prize, The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science, and Technology, 2007, the Nagao Special Research Award of the Information Processing Society of Japan, 2007, the Best Paper Award of AAMAS2006, the 2005 Best Paper Award from Japan Society for Software Science and Technology, the Best Paper Award in the 66th annual conference of 66th Information Processing Society of Japan, and the Super Creator Award of 2004 IPA Exploratory Software Creation Projects. He is Principle Investigator of the Japan Cabinet Funding Program for Next Generation World-Leading Researchers (NEXT Program). Further, he has several companies, which are handling web-based systems and enterprise distributed systems. His main research interests include multi-agent systems, intelligent agents, collective intelligence, group decision support system, etc.
*Kyoto University is at #33 place in the world in QS ranking 2022.
