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Samsung AI Forum 2019

Seoul, November 4 ~ 5

Samsung AI Forum is an academic event for the foremost minds of today’s world to come together
and share their views on the current and future development of Artificial Intelligence technology.

On-line pre-registration will open on September 24, 2019.
Samsung AI Forum is an academic event for the foremost minds of today’s world to come together and share their views on the current and future development of Artificial Intelligence technology.

On-line pre-registration will open on September 24, 2019.
Participants

Anyone with an interest in AI technology including
undergraduate and graduate students, university faculty
members, researchers, and members of the general public

Registration
Begins September 24 (Tue.), 2019
(Registration will close when the maximum capacity is reached)
Day 1

November 4 (Mon.)
Samsung Seocho Office

Organized by Samsung Advanced Institute of Technology>>

Day 2

Samsung Seoul R&D Campus

Organized by Samsung Research

Registration
Samsung AI Forum - Day 2

Begins September 24 (Tue.), 2019
(Registration will close when the maximum capacity is reached)
Apply

Schedule

Day 2
11.5(Tue) Tower AB/D, Seoul R&D Campus
Day 1 Schedule
09:00 ~ 09:10

Opening Remarks

Dong Jin Koh | President & CEO of Samsung Electronics

09:10 ~ 10:00

Keynote 1

Noah Smith | University of Washington>>

Rational Recurrences for Empirical Natural Language Processing

10:00 ~ 10:50

Keynote 2

Abhinav Gupta | Carnegie Mellon University>>

Supersizing and Empowering Visual and Robot Learning

10:50 ~ 11:40

Invited Talk 1

Vaishak Belle | University of Edinburgh>>

Symbolic Logic meets Machine Learning: Towards Transparent and Responsible AI

11:40 ~ 12:30

Invited Talk 2

Joan Bruna | New York University>>

Geometric Deep Learning for Forecasting and Semi-supervised Learning

12:30 ~ 14:00
Lunch & Poster Session
※The program details may be subject to change.
14:00 ~ 17:40

Break-Out Session

Track 1 | Vision & Image

Nuno Vasconcelos | University of California, San Diego>>

Reducing the Gap between Deep Learning and Human Cognition

Victor Lempitsky | Skoltech / SAIC-Moscow>>

Towards AI-based Photorealistic Telepresence

Michael Brown | York University / SAIC-Toronto>>

Rethinking the camera pipeline to improve photographic and scientific applications

Alex Schwing | University of Illinois at Urbana-Champaign>>

Learning to Anticipate

Track 2 | On-Device, IoT & Social

Nicholas Lane | Oxford University / SAIC-Cambridge>>

The Deep (Learning) Transformation of Mobile and Embedded Computing

Steve Liu | McGill University / SAIC-Montreal>>

When Machine Learning Meets Wi-Fi: Robust Device-Free Indoor Localization

Tommaso Melodia | Northeastern University>>

Where Deep Learning Meets Softwarization in 5G and IoT Systems

Alice Oh | KAIST>>

Conversation modeling for computational social science

17:40 ~ 17:50
Closing Remarks
Day 1 Schedule
Day 2
11.5(Tue) Tower B/D, Seoul R&D Campus
09:00 ~ 09:10

Opening Remarks

Dong Jin Koh | President & CEO of Samsung Electronics

09:10 ~ 10:00

Keynote 1

Noah Smith | University of Washington>>

Rational Recurrences for Empirical Natural Language Processing

10:00 ~ 10:50

Keynote 2

Abhinav Gupta | Carnegie Mellon University>>

Supersizing and Empowering Visual and Robot Learning

10:50 ~ 11:40

Invited Talk 1

Vaishak Belle | University of Edinburgh>>

Symbolic Logic meets Machine Learning: Towards Transparent and Responsible AI

11:40 ~ 12:30

Invited Talk 2

Joan Bruna | New York University>>

Geometric Deep Learning for Forecasting and Semi-supervised Learning

12:30 ~ 14:00
Lunch & Poster Session
14:00 ~ 17:40

Break-Out Session

Track 1 | Vision & Image

Nuno Vasconcelos | University of California, San Diego>>

Reducing the Gap between Deep Learning and Human Cognition

Victor Lempitsky | Skoltech / SAIC-Moscow>>

Towards AI-based Photorealistic Telepresence

Michael Brown | York University / SAIC-Toronto>>

Rethinking the camera pipeline to improve photographic and scientific applications

Alex Schwing | University of Illinois at Urbana-Champaign>>

Learning to Anticipate

Track 2 | On-Device, IoT & Social

Nicholas Lane | Oxford University / SAIC-Cambridge>>

The Deep (Learning) Transformation of Mobile and Embedded Computing

Steve Liu | McGill University / SAIC-Montreal>>

When Machine Learning Meets Wi-Fi: Robust Device-Free Indoor Localization

Tommaso Melodia | Northeastern University>>

Where Deep Learning Meets Softwarization in 5G and IoT Systems

Alice Oh | KAIST>>

Conversation modeling for computational social science

17:40 ~ 17:50
Closing Remarks
※The program details may be subject to change.

Location

  • Location

    Samsung Electronics Seoul R&D Campus, 56, Seongchon-gil, Seocho-gu, Seoul

    Contact

    aiforum.day2@samsung.com

  • Bus

    Samsung Electronics Seoul R&D Campus/ Nature Hill Complex 3, 4/ Entrance of Seongchon Village

    • Green Bus : 19, 3412, 4435
    • Blue Bus : 541, 542
    • Town Bus : Seocho 18, Seocho 18-1