Abstract
Format: Hybrid
Online Venue: Open to all registered participants. The seminar will be delivered via Zoom. The URL will be provided only to registered participants.
On-site Venue: For RIKEN members only. RIKEN AIP Nihonbashi Office Open Space
Talk Information
Date & Time: March 31 (Tue), 15:00–16:00
Speaker: Hiroki Matsutani (Professor, Department of Information and Computer Science, Faculty of Science and Engineering, Keio University)
Title: On-Device Learning for Edge AI: From Algorithms to Applications
Abstract:
We are working on on-device learning techniques that enable AI models to be trained and adapted directly on resource-constrained edge devices. Such on-device learning is particularly effective when there is a discrepancy between pre-collected training data and data observed in real-world environments. A key advantage is the ability to update models in situ to accommodate environmental changes and individual differences. In recent years, AI chips equipped with on-device learning capabilities have emerged, and commercialization and mass production are progressing. In this talk, we will introduce on-device learning from its underlying algorithms to practical application examples.
More Information
| Date | March 31, 2026 (Tue) 15:00 - 16:00 |
| URL | https://c5dc59ed978213830355fc8978.doorkeeper.jp/events/195942 |
