Description
In an unprecedented collaborative effort, the World Premier International Research Center for Neurointelligence (WPI-IRCN) at the University of Tokyo and the Tianqiao & Chrissy Chen Institute (Chen Institute) are proud to present an innovative course designed to explore the frontier where natural and artificial intelligence converge. It delves into critical areas such as intrinsic dynamics, network architectures, prediction, plasticity and criticality, as well as multi-agent learning and neuromodulation, highlighting the potential for cross-disciplinary innovation in understanding cognitive processes.
Participants will benefit from a rich program featuring lab tours at leading research facilities, global networking opportunities, collaborative writing for a special issue on neurointelligence, and interactions with world-class speakers. This course is designed to inspire a diverse cohort of students, researchers, and professionals to engage deeply with the latest research and contribute to the evolving field of neurointelligence, fostering a global community committed to advancing our understanding of cognitive systems.
About IRCN: Launched in 2017, the World Premier International Research Center for Neurointelligence (WPI-IRCN) at the University of Tokyo has advanced scientific progress at the interface of developmental neurobiology, clinical neuroscience, and computation toward next generation A.I. Through synergistic collaborations they seek to establish a new field of “Neurointelligence” in science and society.
Course Details
- Dates: July 16 (Tues)-19 (Fri), 2024
- Venue: TBD (Inside UTokyo Hongo Campus )
- Host: International Research Center for Neurointelligence (WPI-IRCN) and Tianqiao & Chrissy Chen Institute
- Language: English
- Application (Required by March 22, 2024): Application Form. See below for detailed instructions. For enquiries, please contact: course_at_ircn.jp (replace “_at_” with @)
Speakers
- Eva Dyer (Georgia Institute of Technology)
- Pawel Herman (KTH Royal Institute of Technology)
- Dmitry Krotov (MIT-IBM Watson AI Lab)
- Simon Schultz (Imperial College London)
- Taro Toyoizumi (Riken Center for Brain Science)
- Naoshige Uchida (Harvard University)
- Leila Wehbe (Carnegie Mellon University)
- Kazuyuki Aihara (WPI-IRCN, The University of Tokyo)
- Zenas Chao (WPI-IRCN, The University of Tokyo)
- Shin Ishii (Kyoto University / WPI-IRCN, The University of Tokyo)
- Yasuo Kuniyoshi (Graduate of School of Information Science and Technology / WPI-IRCN, The University of Tokyo)
- Yukie Nagai (WPI-IRCN, The University of Tokyo)
- Kenichi Ohki (WPI-IRCN, The University of Tokyo)
- Takamitsu Watanabe (WPI-IRCN, The University of Tokyo)