Doorkeeper

RIKEN-AIP Distinguished Lectures on AI and Machine Learning

Thu, 25 May 2023 09:00 - Fri, 26 May 2023 15:30 JST
Online Link visible to participants
Register

Registration is closed

Get invited to future events

Free admission
-Passcode: mq7wwGhWc8 -Time Zone:JST -The seats are available on a first-come-first-served basis. -When the seats are fully booked, we may stop accepting applications. -Simultaneous interpretation will not be available.

Description

RIKEN AIP will hold an event, titled “RIKEN-AIP Distinguished Lectures on AI and Machine Learning” on May 25 - 26 as follows;

Date:
May 25, 2023; 9:00am - 12:10pm JST
May 26, 2023; 10:30am - 15:30pm JST

Venue: Online and Open Space at the RIKEN AIP Nihonbashi office*
* The Open Space; AIP researchers are only available. (Please register here.)

Program:
DAY 1 May 25, 2023
09:00-09:45 Speaker: Prof. Alice OH, Korea Advanced Institute of Science and Technology
Title: Toward multicultural NLP
09:45-10:30 Speaker: Prof. Zhi-Hua ZHOU, Nanjing University
Title: Abductive Learning

10:30-10:40 (Coffee Break)

10:40-11:25 Speaker: Dr. Hideyuki TOKUDA, National Institute of Information and Communications Technology
Title: Overview of NICT and Universal Communication Research Institute.
11:25-12:10 Speaker: Prof. David LESLIE, The Alan Turing Institute
Title: Scientific Discovery in the Age of Large Language Models

DAY 2 May 26, 2023
10:30-11:15 Speaker: Prof. Sethu VIJAYAKUMAR, The Alan Turing Institute/The University of Edinburgh
Title: Robotics and AI for Assisted Living: Shared Autonomy in Action
11:15-12:00 Speaker: Prof. Jennifer DY, Northeastern University
Title: Title: Learning Interpretable Models on Complex Medical Data

12:00-13:00 (Lunch Break)

13:00-13:45 Speaker: Prof. Itsuki NODA, Hokkaido University (Online)
Title: Multi-agent social simulation and its application
13:45-14:30 Speaker: Dr. Junichi TSUJII, National Institute of Advanced Industrial Science and Technology
Title: Overview of AIRC / AIST

14:30-14:45 (Coffee Break)

14:45-15:30 Prof. Klaus-Robert Müller, Technische Universität Berlin/ Korea University/ BIFOLD
Title: ML for the Sciences: towards novel insight


All participants are required to agree with the AIP Seminar Series Code of Conduct.
Please see the URL below.
https://aip.riken.jp/event-list/termsofparticipation/?lang=en

RIKEN AIP will expect adherence to this code throughout the event. We expect cooperation from all participants to help ensure a safe environment for everybody.


About this community

RIKEN AIP Public

RIKEN AIP Public

Public events of RIKEN Center for Advanced Intelligence Project (AIP)

Join community