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[Pre-registration] Artificial Intelligence Around Us: Understanding Edge AI and Future Technologies
2026.05.19 Views 16
Non-curricular Program by the Graduate School Innovation Team, Phase 4 BK21 Project
Artificial Intelligence Around Us: Understanding Edge AI and Future Technologies
-The 1st “Data Science in Practice” Forum-
“Data Science in Practice” is a special program featuring CEOs, CTOs, top experts, and developers from industry, education, and research communities driven by the advancement of data science.
To enhance graduate students’ understanding and engagement, this seminar invited graduate students from related fields.
The seminar is open to all members of the Korea University Seoul Campus.We look forward to your interest and participation.
This training will be conducted in Korean.

□ Course Content
| Session | Date | Note | Speakers |
|
1 |
13:00~14:00 (1 hour) |
Understanding Edge AI and On-Device AI Technologies
Understand the concept and importance of Edge AI, in which artificial intelligence operates directly on various devices such as smartphones, wearable devices, and home appliances, and explore the roles and key features of the hardware technologies that enable it. |
Sun-Kwon Kim |
|
2 |
14:00~15:00 (1 hour) |
The Concept of Federated Learning as a Privacy-Preserving Learning Method
This session introduces the fundamental principles of federated learning, which enables AI training without centrally collecting data, and explains key issues in practical applications, including data heterogeneity, security, and privacy protection. |
Seung-Min Yang |
|
3 |
15:00~15:30 (30 minutes) |
Technology Understanding, Discussion, and Networking Session | Sun-Kwon Kim, Seung-Min Yang |
■ Audience: All Members of Korea University Seoul Campus
■ Date: May 29, 2026 (Fri), 13:00–15:30 (2 hours 30 minutes)
■ Venue: Multimedia Room (B115), Hana Science Hall
■ Speakers
1) Sun-Kwon Kim (Ph.D. Candidate, Graduate School of Information Security, KAIST)
2) Seung-Min Yang (Ph.D. Candidate, Graduate School of Information Security, KAIST)
■ How to Apply
- Pre-registration via KUchive (by midnight, May 27, 2026 (Wed))
- On-site Registration
(※ Participants who complete pre-registration will receive event information via email and text message on May 28, 2026 (Thu))
■ Contact: Graduate School Innovation Team
- Tel. 02-3290-5238
- E-mail. graduate_BK21@korea.ac.kr
(Please note that phone and email inquiries may be limited during the afternoon of the program day. On-site inquiries are available.)

