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Samsung AI Forum 2023

Samsung
AI Forum 2023
Samsung
AI Forum 2023

Samsung
AI Forum 2023

On-demand video On-demand video On-demand video

Samsung AI Forum 2023 Highlight Video

About the Forum About the Forum About the Forum

Participants Participants Participants

Anyone with an interest in AI technology including undergraduate and graduate students, university faculty members, researchers, and etc.

Anyone with an interest in AI technology including undergraduate and graduate students, university faculty members, researchers, and etc.

Anyone with an interest in AI technology including undergraduate and graduate students, university faculty members, researchers, and etc.

Registration Registration Registration

October 12 ~ November 7

October 12 ~ November 7

October 12 ~ November 7

Date Date Date

November 7 (Tue.) 10:00 (KST, UST+9)

November 7 (Tue.) 10:00 (KST, UST+9)

November 7 (Tue.) 10:00 (KST, UST+9)

Location Location Location

Suwon Convention Center

Suwon Convention Center

Suwon Convention Center

Speakers Speakers Speakers

Kye Hyun Kyung
Kye Hyun Kyung
Samsung Electronics

Yoshua Bengio
Yoshua Bengio
Montreal Univ.

Jim Keller
Jim Keller
Tenstorrent

Larry Zitnick
Larry Zitnick
Meta

Satoshi Matsuoka
Satoshi Matsuoka
RIKEN Center for
Computer Science

Kyunghyun Cho
Kyunghyun Cho
New York Univ.

Masato Motomura
Masato Motomura
Tokyo Univ.

Duane S. Boning
Duane S. Boning
MIT

Joo-Young Kim
Joo-Young Kim
KAIST, HyperAccel

Kimin Lee
Kimin Lee
KAIST

Zaid Kahn
Zaid Kahn
Microsoft

Young Sang Choi
Young Sang Choi
SAIT

Seungwon Lee
Seungwon Lee
SAIT

Jae-Joon Han
Jae-Joon Han
SAIT

Younghun Sung
Younghun Sung
SAIT

Jun Haeng Lee
Jun Haeng Lee
SAIT

Changkyu Choi
Changkyu Choi
SAIT

Eunsoo Shim
Eunsoo Shim
SAIT

Samsung AI Researcher 2023 Awardee Samsung AI Researcher 2023 Awardee Samsung AI Researcher 2023 Awardee

Jason D. Lee
Jason D. Lee

He published several influential papers in theory of deep learning, reinforcement learning, optimization, LLMs and AI safety including NeurIPS best student paper award.


He published several influential papers in theory of deep learning, reinforcement learning, optimization, LLMs and AI safety including NeurIPS best student paper award.


He published several influential papers in theory of deep learning, reinforcement learning, optimization, LLMs and AI safety including NeurIPS best student paper award.

Emma Pierson
Emma Pierson

She has made a number of society-shaking observations at the intersection of machine learning, society and healthcare. She has been doing interesting work on algorithmic fairness and ML for healthcare.


She has made a number of society-shaking observations at the intersection of machine learning, society and healthcare. She has been doing interesting work on algorithmic fairness and ML for healthcare.


She has made a number of society-shaking observations at the intersection of machine learning, society and healthcare. She has been doing interesting work on algorithmic fairness and ML for healthcare.

Xiang Ren
Xiang Ren

He published many papers in the field of NLP including 3 best paper awards (ACL, NAACL, and WWW). He is also researching on LLMs, neuro-symbolic reasoning and knowledge graphs.


He published many papers in the field of NLP including 3 best paper awards (ACL, NAACL, and WWW). He is also researching on LLMs, neuro-symbolic reasoning and knowledge graphs.


He published many papers in the field of NLP including 3 best paper awards (ACL, NAACL, and WWW). He is also researching on LLMs, neuro-symbolic reasoning and knowledge graphs.

Connor W. Coley
Connor W. Coley

He has pushed the boundaries of molecular/material design using advanced AI technologies and also along the way made contributions to AI itself. He has received many outstanding prizes and still fairly early in career.


He has pushed the boundaries of molecular/material design using advanced AI technologies and also along the way made contributions to AI itself. He has received many outstanding prizes and still fairly early in career.


He has pushed the boundaries of molecular/material design using advanced AI technologies and also along the way made contributions to AI itself. He has received many outstanding prizes and still fairly early in career.

Virginia Smith
Virginia Smith

She has made significant contributions to federated learning decentralizing data and training large scale models, as well as to a broader set of distributed and efficient learning and inference.


She has made significant contributions to federated learning decentralizing data and training large scale models, as well as to a broader set of distributed and efficient learning and inference.


She has made significant contributions to federated learning decentralizing data and training large scale models, as well as to a broader set of distributed and efficient learning and inference.

AI Forum Archives AI Forum Archives AI Forum Archives
  • Samsung AI Forum 2024
    Samsung AI Forum 2024
    November 4-5, 2024
    Suwon, Korea
  • Samsung AI Forum 2023
    Samsung AI Forum 2023
    November 7, 2023
    Suwon, Korea
  • Samsung AI Forum 2022
    Samsung AI Forum 2022
    November 8-9, 2022
    Seoul, Korea
  • Samsung AI Forum 2021
    Samsung AI Forum 2021
    November 1-2, 2021
    Live Stream
  • Samsung AI Forum 2020
    Samsung AI Forum 2020
    November 2-3, 2020
    Live Stream
  • Samsung AI Forum 2019
    Samsung AI Forum 2019
    November 4-5, 2019
    Seoul, Korea
  • Samsung AI Forum 2018
    Samsung AI Forum 2018
    September 12-13, 2018
    Seoul, Korea
  • Samsung AI Forum 2017
    Samsung AI Forum 2017
    October 19-20, 2017
    Seoul, Korea