At the plenary session, Prof. Tsu-Jae King LIU(UC Berkeley) opened the stage with an engaging lecture on next generation semiconductors and a new computing paradigm which could overcome the limits of Moore’s Law. Following Prof. LIU, Prof. Gerbrand CEDER(UC Berkeley) gave an in-depth lecture on the development of Li ion batteries and presented an outlook for alternative energy storage technology.
Tsu-Jae King LIU, University of California, Berkeley
A New Paradigm for Advancing Computing Beyond the Limits of Moore's Law
Gerbrand CEDER, University of California, Berkeley
Progress in Li-ion Energy Storage and Alternative Technologies
“Session 1: For the AI, By the AI,” began with a lecture by Prof. Gu-Yeon WEI (Harvard) on recent researches on semiconductor innovation, an issue that is indispensable in the advancement of machine learning. Prof. Kyongsu YI (SNU) discussed recent research and future agendas on the realization of autonomous driving in complex urban environments. Prof. Kyogu LEE (SNU) introduced his research on AI music algorithms and presented an “AI musician."
WEI Gu-Yeon, Harvard University
Machine Learning at Scale
YI Kyongsu, Seoul National University
Autonomous Driving in Urban Environments: Our Approaches and Recent Developments
LEE Kyogu, Seoul National University
Machine Musicianship: When AI Meets Music
“Session 2: Future Battery Technology,” kicked off with a lecture by Prof. Jang Wook CHOI (SNU), who introduced a management system which can monitor real-time battery status by measuring the entropy of battery materials. Prof. Kisuk KANG (SNU) talked about the development of new battery material based on study of biological energy transduction.
CHOI Jang Wook, Seoul National University
Toward Seeing Battery Materials in Real Time
KANG Kisuk, Seoul National University
Design of Battery Materials from Interdisciplinary Approach