Skip to content
Samsung AI Forum 2021

Samsung
AI Forum 2021 Samsung
AI Forum 2021
Samsung
AI Forum 2021

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

Samsung AI Forum 2021 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 6 - November 1

October 6 - November 1

October 6 - November 1

Date Date Date

November 1 (Mon.) 09:00 (KST, UST+9)

November 1 (Mon.) 09:00 (KST, UST+9)

November 1 (Mon.) 09:00 (KST, UST+9)

Speakers Speakers Speakers

Yoshua Bengio
Yoshua Bengio
Univ. of Montreal

Changkyu Choi
Changkyu Choi
Samsung

Kunle Olukotun
Kunle Olukotun
Stanford Univ.

Andrew Feldman
Andrew Feldman
Cerebras Systems

Young Sang Choi
Young Sang Choi
Samsung

Gerbrand Ceder
Gerbrand Ceder
UC Berkeley

Bryce Meredig
Bryce Meredig
Citrine Informatics

Jae-Joon Han
Jae-Joon Han
Samsung

Antonio Torralba
Antonio Torralba
MIT

Daniel Bibireata
Daniel Bibireata
LandingAI

Kathleen McKeown
Kathleen McKeown
Columbia Univ.

Program Program Program

09:00 - 09:05

Opening Remarks

Kinam Kim
Vice Chairman, Samsung Electronics
09:05 - 09:30

Keynote : GFlowNets for Scientific Discovery

Yoshua Bengio
University of Montreal
Session 1. Scalable & Sustainable AI Computing Session 1. Scalable & Sustainable AI Computing Session 1. Scalable & Sustainable AI Computing
09:30 - 09:35

Toward Energy-Efficient AI Computing

Changkyu Choi
Corporate SVP, Samsung Advanced Institute of Technology
09:35 - 09:55

Accelerating AI with Dataflow Computing

Kunle Olukotun
Stanford University
09:55 - 10:00

Wafer Scale AI, The Path To Efficient AI Compute

Andrew Feldman
Founder & CEO, Cerebras Systems
10:00 - 10:05

Q&A

Session 2. AI for Scientific Discovery Session 2. AI for Scientific Discovery Session 2. AI for Scientific Discovery
10:05 - 10:10

Expediting Materials Development and Predicting Pollution, AI for Science in Samsung

Young Sang Choi
Corporate VP, Samsung Advanced Institute of Technology
10:10 - 10:30

AI/ML in Materials Research and the Laboratory of the Future

Gerbrand Ceder
University of California, Berkeley
10:30 - 10:35

AI for Industrial Materials Design

Bryce Meredig
Founder & CSO, Citrine Informatics
10:35 - 10:40

Q&A

Session 3. Trustworthy Computer Vision Session 3. Trustworthy Computer Vision Session 3. Trustworthy Computer Vision
10:40 - 10:45

What Makes Computer Vision Trustworthy?

Jae-Joon Han
VP of Technology, Samsung Advanced Institute of Technology
10:45 - 11:05

Learning to See

Antonio Torralba
Massachusetts Institute of Technology
11:05 - 11:10

Avoiding Pitfalls When Building Deep Learning Vision Systems

Daniel Bibireata
VP, LandingAI
11:10 - 11:15

Q&A

11:15 - 11:25

Samsung AI Researcher of the Year

11:25 - 12:25

Panel Discussion

Moderator :
Youngsang Choi | Corporate VP, Samsung Advanced Institute of Technology
Panelists :
Yoshua Bengio | University of Montreal, Kunle Olukotun | Stanford University, Gerbrand Ceder | University of California, Berkeley, Antonio Torralba | Massachusetts Institute of Technology, Kathleen McKeown | Columbia University, Andrew Feldman | Founder & CEO, Cerebras Systems
12:25 - 12:30

Closing

Samsung AI Researcher 2021 Awardee Samsung AI Researcher 2021 Awardee Samsung AI Researcher 2021 Awardee

Phillip Isola
Phillip Isola
Massachusetts Institute of Technology

Recognized for high impact contributions to generative image modeling and image editing, as well as to understanding of image memorability and more recently to few-shot learning and domain adaptation.

Recognized for high impact contributions to generative image modeling and image editing, as well as to understanding of image memorability and more recently to few-shot learning and domain adaptation.

Recognized for high impact contributions to generative image modeling and image editing, as well as to understanding of image memorability and more recently to few-shot learning and domain adaptation.

Learn more

Judy Hoffman
Judy Hoffman
Georgia Institute of Technology

Recognized for influential works for the domain adaptation of deep neural networks, transferring knowledge obtained from one domain to another domain without catastrophic failure.

Recognized for influential works for the domain adaptation of deep neural networks, transferring knowledge obtained from one domain to another domain without catastrophic failure.

Recognized for influential works for the domain adaptation of deep neural networks, transferring knowledge obtained from one domain to another domain without catastrophic failure.

Learn more

Yarin Gal
Yarin Gal
University of Oxford

Recognized for novel research in natural language processeing bassed on strong theoretical foundations.

Recognized for novel research in natural language processeing bassed on strong theoretical foundations.

Recognized for novel research in natural language processeing bassed on strong theoretical foundations.

Learn more

Jacob Andreas
Jacob Andreas
Massachusetts Institute of Technology

Recognized for impactful works in the field of uncertainty in machine leraning such as bayesian deep learning.

Recognized for impactful works in the field of uncertainty in machine leraning such as bayesian deep learning.

Recognized for impactful works in the field of uncertainty in machine leraning such as bayesian deep learning.

Learn more

Diyi Yang
Diyi Yang
Georgia Institute of Technology

Recognized for high impact research on understanding/using natural language processing techniques in the context of social media and more general social interaction.

Recognized for high impact research on understanding/using natural language processing techniques in the context of social media and more general social interaction.

Recognized for high impact research on understanding/using natural language processing techniques in the context of social media and more general social interaction.

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