4th Nobel Turing Challenge Initiative Workshop
Dates: February 13-14, 2024
Location: Nihonbashi Life Science HUB (LINK-J), Tokyo, Japan
Speakers/Program
Keynote
Shane GU, Google DeepMind, Research Scientist
Tetsuya Ogata, Waseda University, Professor
Eran Segal, Weizmann Institute of Science, Professor
Day 1
Tuesday, February 13, 2024
Doors Open at 9:30 AM
10:00 - 10:15 Welcome Note
Hiroaki KITANO
10:15 - 11:00 Keynote #1: Passive to Active Intelligence in Symbolic to Spatial World: From Armchair Reasoning to Experimentation
Shane GU, Google DeepMind, Research Scientist
Session 1: AI for Biological Discovery
11:00 - 11:20 Introduction to AI for Scientific Discovery in Biology
Jun SEITA, RIKEN, Team Leader
11:20 - 11:40 Towards an AI-based solution of protein structure prediction problem
Zhang YANG, National University of Singapore, Professor
11:40 - 12:00 Digitalization-driven Transformative Organic Synthesis (Digi-TOS)
Takashi Ohshima, Kyushu University, Professor
12:00 - 12:20 Language Models as Catalysts in Biomedicine: Navigating Automation, Curation, and Reproducibility in Research
Sucheendra KUMAR PALANIAPPAN, The Systems Biology Institute, Senior Scientist
12:20 - 12:40 Using the dynamics of discovery: Generating scientific hypotheses leveraging sequences of prior insights
Tarek BESOLD, Sony AI, Senior Research Scientist
12:40 - 13:00 Round Table
Session 2: AI for Material Discovery and Beyond
14:00 - 14:20 RIKEN's AI for Science project: TRIP-AGIS
Makoto TAIJI, RIKEN, Deputy Director
14:20 - 14:40 Towards Automated Research
Wataru KUMAGAI, The University of Tokyo, Assistant Professor
14:40 - 15:00 From AI and Robotics toward Generative Design of Materials
Kedar HIPPALGAONKAR, Nanyang Technological University, Associate Professor
15:00 - 15:20 Autonomous synthesis of solid materials using machine learning and robots
Taro HITOSUGI, The University of Tokyo, Professor
15:20 - 15:40 Accelerated Material Discovery
Seiji TAKEDA, IBM Research, Principal Research Scientist and Team Lead
15:40 - 16:00 Round Table
16:00 - 16:10 Break
16:10 - 16:20 Link-J Host Announcement
Session 3: Robotics for Scientific Discovery
16:20 - 16:40 Robotics and AI accelerates remote automated life science
Tohru NATSUME, Robotic Biology Institute Inc., Director, National Institute of Advanced Industrial Science and Technology, Prime Senior Researcher
16:40 - 17:00 AI-Driven Robot Manipulators for Lab Automation
Weiwei WAN, Osaka University, Associate Professor
17:00 - 17:45 Keynote#2: Bridging the Gap: AI's Transition to Real-World Tasks
Tetsuya OGATA, Waseda University, Professor
17:45 - 18:05 Round Table
18:05 - 18:30 Flash Talks for the Poster Session
18:30 - 20:30 Poster Session and Reception
Day 2
Wednesday, February 14, 2024
Doors Open at 9:30 AM
Session 4: Artificial Intelligence and Human Intelligence
10:00 - 10:20 Brain-Machine Interfaces, Artificial Intelligence, and Consciousness
Ryota KANAI, Araya Inc., Founder & CEO
10:20 - 10:40 The worldview of manga "The Gene of AI"
Kyuri YAMADA, Manga Artist, the author of “AI no Idenshi (The Gene of AI)”
10:40 - 11:00 Extracting human understanding from mass algorithmic comparison: Case studies in time-series analysis
Ben FULCHER, School of Physics, The University of Sydney, Senior Lecturer
11:00 - 11:20 The Robot Scientist Genesis
Ross KING, Chalmers University of Technology, Professor at Data Science and AI, The University of Cambridge, Professor
11:20 - 11:40 Round Table
11:40 - 12:25 Keynote#3: Foundation AI models for personalized medicine based on deep human phenotyping
Eran SEGAL, Weizmann Institute of Science, Professor
12:25 - 12:40 Closing Remark
Hiroaki KITANO
Location
Nihonbashi Life Science HUB → Google map
Directly connected from Mitsukoshimae Station on the Tokyo Metro Ginza and Hanzomon Lines
Directly connected from Shin-Nihombashi Station on the JR Sobu Line
A nine-minute walk from the southern exit of Kanda Station on the JR Yamanote, Keihin Tohoku and Chuo Rapid Lines
A nine-minute walk from the Nihombashi exit of Tokyo Station on the JR Yamanote, Keihin Tohoku and Chuo Rapid Lines