Samsung
AI Forum 2026

2026. 9. 30 (Wed) 9:00 – 17:00 (KST)
Samsung Electronics Seocho Office (In-person)
Online Streaming

* In-person attendance is limited to invited guests and registered Samsung employees
whose attendance has been confirmed. Confirmation will be provided individually.

Program

08:00 - 09:00

Registration

09:00 - 09:05

Opening Remarks

Younghyun Jun | Vice Chairman & CEO, Samsung Electronics

09:05 - 10:05

Opening Keynote

Chatbots to Agentic Workflows

Transforming productivity with ChatGPT, Codex and frontier models

Richard Ho | VP, Head of Hardware, OpenAI

10:05 - 10:55

Keynote 1

From Individual Productivity to Enterprise Wide Impact

How to scale AI in production, measure outcomes, and deliver results for the customers of our customers

David Green | AI Technology Leader of APJ, AWS

10:55 - 11:05

Break

11:05 - 11:30

Keynote 2

Visual Reasoning:will be bigger than language reasoning

Introducing a sketch-based reasoning paradigm for high-performance robotics AI with smaller models

Ranjay Krishna | Professor, University of Washington

11:30 - 11:55

Keynote 3

Architectures for Agentic Intelligence

Architectural Innovations to Strengthen Agent Capabilities and Broaden Their Scope

Yoonhyung Kim | Corporate VP, Samsung Research, Samsung Electronics

11:55 - 12:25

Panel Discussion

The Convergence of Agentic AI and Physical AI

Future outlook and paths to real-world product applications

Moderator Juan Carlos Niebles | VP, Samsung Research, Samsung Electronics

12:25 - 14:00

Lunch Break

14:00 - 14:50

Session 1

Efficient AI

Toward Human-Level Efficiency in AI

An overview of the design principles behind Efficient AI and Samsung’s technical approach to delivering optimal user experiences in resource-constrained environments

Inchul Hwang | Corporate EVP, MX Business, Samsung Electronics

On-Device AI Platform of Samsung

Introducing the three core components of the On-device AI platform: PDE, AI models, and agent

Yunsu Lee | Corporate EVP, MX Business, Samsung Electronics

14:50 - 15:00

Break

15:00 - 15:50

Session 2

Physical AI

World Modelling: Promise & Perils

Introduce lenses to separate hype from reality in the fast-moving world models landscape, and discuss a roadmap to realise their promise through early outcomes from Samsung Research

Timothy Hospedales | VP, Samsung Research, Samsung Electronics

The Promise and Limitations of Robot Foundation Models for Massive Robot Scaling

Why robot foundation models have yet to reach their "ChatGPT moment," and how Samsung's new RX unit plans to break through

Kris Hauser | Head of Lab, RX Business Office, Samsung Electronics

15:50 - 16:00

Break

16:00 - 16:50

Session 3

Continual Learning

Self-evolving AI: AI That Learns and Improves Itself

This session introduces Self-evolving AI, a technology that continuously improves through accumulated usage experience, along with potential applications at Samsung Electronics

Kangwook Lee | Corporate VP, Samsung Research, Samsung Electronics

Personalizing AI without Forgetting

This talk covers three new techniques for trustworthy memory editing, efficient knowledge compilation, and forgetting-free continual learning

Juan Carlos Niebles | VP, Samsung Research, Samsung Electronics

16:50 - 17:00

Closing

14:00 - 14:50

Session 1

Business Value Creation Cases through External AX

The Dell AI Journey: A Blueprint for the AI-Native Enterprise

Ajaz Munsiff | CDO, APJ, Dell Technologies

14:50 - 15:00

Break

15:00 - 15:50

Session 2

Putting Claude to Work Safely

Designing trustworthy agent systems for engineering and R&D

Sangkeun Choe | Tech Lead, Anthropic

15:50 - 16:00

Break

16:00 - 16:50

Session 3

Toward AI-Native DS

Automation and Intelligence: The two axes driving the next leap in semiconductors

Jaejoon Han | Master, AX/PI Center, Samsung Electronics

16:50 - 17:00

Closing

Speakers

Younghyun Jun

Vice Chairman & CEO
Samsung Electronics

Opening Remarks

Richard Ho

VP, Head of Hardware
OpenAI

Opening Keynote

Richard Ho

VP, Head of Hardware
OpenAI

Areas of Expertise

AI accelerator design, large-scale GPU and AI clusters, and AI system architecture
Core member of multiple generations of Google TPU development and co-founder of 0-In Design Automation (acquired by Siemens EDA)

Education

Ph.D. in Computer Engineering, Stanford University

David Green

AI Technology Leader of APJ
AWS

Keynote

David Green

AI Technology Leader of APJ
AWS

Areas of Expertise

Agentic AI, Generative AI, Enterprise AI and Cloud Architecture, and AI Commercialization

Career

Principal Product Solutions Architect and Enterprise Solutions Architect at AWS
Formerly responsible for infrastructure at Technicolor
Senior technology leader with over 10 years of experience at AWS, driving the adoption and scaling of Agentic AI across enterprises in the APJ region

Ranjay Krishna

Professor, University of Washington

Keynote

Ranjay Krishna

Professor, University of Washington

Areas of Expertise

Computer vision, natural language processing, robotics
Served as director of the multimodal and embedded AI team at Allen Institute (Ai2) and visiting professor at Google and Apple Research. NSF Career Award ('26), MIT Tech Review 35 under 35 Asia Pacific ('25) selected

Career

Professor, University of Washington (2022-present)
Member of Technical Staff, Microsoft AI (2026-present)

Education

Ph.D. in Computer Science, Stanford University
B.S. in Electrical and Computer Engineering / Computer Science, Cornell University

Yoonhyung Kim

Corporate VP, Samsung Research
Samsung Electronics

Keynote

Yoonhyung Kim

Corporate VP, Samsung Research
Samsung Electronics

Areas of Expertise & Experience

Natural Language Processing (NLP), Machine Learning, Efficient Training and Deployment of Large-Scale Models, LLM Self-Adaptation and Continual Learning
Associate Professor of Electrical Engineering and Computer Science, MIT
2026 Sloan Research Fellow

Education

Ph.D. in Computer Science, Harvard University
B.A. in Mathematical Economics, Cornell University

Juan Carlos Niebles

VP, Samsung Research
Samsung Electronics

Moderator

Juan Carlos Niebles

VP, Samsung Research
Samsung Electronics

Areas of Expertise and Experience

Computer vision, machine learning, multimodal AI, and autonomous agents
Adjunct Professor of Computer Science at Stanford University
Served as Research Director at Salesforce AI Research and Senior Researcher at the Stanford AI Lab; member of the AI Index Steering Committee; served as Area Chair for CVPR, ICCV, and ECCV. Recipient of the Microsoft Research Faculty Fellowship and Google Research Award.

Education

Ph.D. in Electrical Engineering, Princeton University
B.S. in Electronics Engineering, Universidad del Norte

Inchul Hwang

Corporate EVP, MX Business
Samsung Electronics

Session

Inchul Hwang

Corporate EVP, MX Business
Samsung Electronics

Areas of Expertise and Experience

Leading speech and language AI development for Galaxy AI and Bixby at Samsung Electronics' MX Business
Developing and optimizing LLMs, translation and interpretation, speech recognition and synthesis, NLP, and AI agent technologies for Galaxy devices across MX and Samsung Research

Education

Ph.D. in Computer Science, KAIST
B.S. in Computer Science, KAIST

Yunsu Lee

Corporate EVP, MX Business
Samsung Electronics

Session

Yunsu Lee

Corporate EVP, MX Business
Samsung Electronics

Areas of Expertise

On-device AI platform development that integrates user data (Personal Data Engine), understands context through on-device AI models, and connects it to real-world experiences through an agent platform

Education

Ph.D. in Computer Science, University of Maryland, Baltimore County
B.S. in Electrical Engineering and Control, Seoul National University

Timothy Hospedales

VP, Samsung Research
Samsung Electronics

Session

Timothy Hospedales

VP, Samsung Research
Samsung Electronics

Areas of Expertise and Experience

Machine learning, computer vision, and vision-language
Professor at Edinburgh University
IEEE Fellow, Alan Turing Institute Fellow, PAMI Associate Editor, CVPR·ICCV·ECCV·NeurIPS·ICML·ICLR Area Chair, AAAI·BMVC Program Chair

Education

Ph.D. in Neuroinformatics, University of Edinburgh
B.S. in Computer Science, University of Cambridge

Kris Hauser

Head of Lab, RX Business Office, Samsung Electronics

Session

Kris Hauser

Head of Lab, RX Business Office, Samsung Electronics

Areas of Expertise and Experience

Open-world robotics, robot motion planning and control, and semi-autonomous systems
Professor at University of Illinois at Urbana-Champaign
Served as an advisor to Waymo, Google’s self-driving subsidiary, from 2019 to 2023. NSF CAREER Award, IEEE Humanoids 2015 Best Paper Award, Stanford Graduate Fellowship, and Siebel Scholar Fellowship.

Education

Ph.D. in Computer Science, Stanford University
B.S. in Computer Science, Stanford University

Kangwook Lee

Corporate VP, Samsung Research
Samsung Electronics

Session

Kangwook Lee

Corporate VP, Samsung Research
Samsung Electronics

Areas of Expertise and Experience

Expert in natural language processing and information retrieval who led development of Samsung Gauss, Samsung Electronics’ foundation model
Currently researching self-evolving AI at Nova AI Lab, an organization reporting directly to the DX Division CTO

Education

Ph.D. in Computer Science, KAIST
B.S. in Computer Science, Handong Global University

Juan Carlos Niebles

VP, Samsung Research
Samsung Electronics

Session

Juan Carlos Niebles

VP, Samsung Research
Samsung Electronics

Areas of Expertise and Experience

Computer vision, machine learning, multimodal AI, and autonomous agents
Adjunct Professor of Computer Science at Stanford University
Served as Research Director at Salesforce AI Research and Senior Researcher at the Stanford AI Lab; member of the AI Index Steering Committee; served as Area Chair for CVPR, ICCV, and ECCV. Recipient of the Microsoft Research Faculty Fellowship and Google Research Award.

Education

Ph.D. in Electrical Engineering, Princeton University
B.S. in Electronics Engineering, Universidad del Norte

Ajaz Munsiff

CDO, APJ
Dell Technologies

Session

Ajaz Munsiff

CDO, APJ
Dell Technologies

Areas of Expertise

Enterprise AI, Digital Transformation, CIO Strategy, and Customer Zero–driven AI Innovation

Career

30+ years of international IT industry experience, working with four CIOs across Dell and EMC IT and advising CxOs across APJC on AI and digital transformation through Dell’s Customer Zero program

Sangkeun Choe

Tech Lead
Anthropic

Session

Sangkeun Choe

Tech Lead
Anthropic

Areas of Expertise

Data-Centric AI, Influence-Function-Based Data Valuation and Attribution, and AI Interpretability
LLM Data Valuation (2024), NeurIPS 2023, ICLR 2023 Oral, and OSDI 2021 Best Paper Award

Education

Ph.D. in Computer Science, Carnegie Mellon University
B.S. in Electrical and Computer Engineering and Mathematics, Seoul National University

Jaejoon Han

Master, AX/PI Center
Samsung Electronics

Session

Jaejoon Han

Master, AX/PI Center
Samsung Electronics

Areas of Expertise

Domain-Specific Large Multimodal Models, Agentic AI, Computer Vision

Professional Experience

'19: Master, Samsung Advanced Institute of Technology (SAIT), Samsung Electronics
'20–'24: Head of Computer Vision Lab, SAIT, Samsung Electronics
'25: Head of Core Algorithm Lab, SAIT, Samsung Electronics
'26–Present: Master, Generative AI Team, AX/PI Center, Samsung Electronics

Education

Ph.D. in Electrical Engineering, Purdue University
M.S. in Electrical Engineering, University of Southern California
B.S. in Electrical Engineering, Yonsei University

Location

Samsung Electronics Seocho Office

5F, Samsung Electronics Seocho Office, 11 Seocho-daero 74-gil, Seocho District, Seoul

40 m from Gangnam Station Exit 8

2026. 9. 30 (Wed) 09:00 - 17:00

View Map →

SamsungAI Forum 2026

The Agentic Shift:From Intelligence to Impact

Program

Registration

Opening Remarks

Chatbots to Agentic Workflows

From Individual Productivity to Enterprise Wide Impact

Break

Visual Reasoning:will be bigger than language reasoning

Architectures for Agentic Intelligence

The Convergence of Agentic AI and Physical AI

Lunch Break

Efficient AI

Toward Human-Level Efficiency in AI

On-Device AI Platform of Samsung

Break

Physical AI

World Modelling: Promise & Perils

The Promise and Limitations of Robot Foundation Models for Massive Robot Scaling

Break

Continual Learning

Self-evolving AI: AI That Learns and Improves Itself

Personalizing AI without Forgetting

Closing

Business Value Creation Cases through External AX

Break

Putting Claude to Work Safely

Break

Toward AI-Native DS

Closing

Speakers

Younghyun Jun

Richard Ho

David Green

Ranjay Krishna

Yoonhyung Kim

Juan Carlos Niebles

Inchul Hwang

Yunsu Lee

Timothy Hospedales

Kris Hauser

Kangwook Lee

Juan Carlos Niebles

Ajaz Munsiff

Sangkeun Choe

Jaejoon Han

Location

Samsung Electronics Seocho Office

Samsung
AI Forum 2026

The Agentic Shift:
From Intelligence to Impact