An invited talk by Prof. Song Guo, Full Professor, The Hong Kong Polytechnic University, China, will be held on October 21, 2022, in Room R205, Education & Research Building No. 8, Muroran Institute of Technology, 27-1 Mizumoto-cho, Muroran, Hokkaido, 0508585 Japan. Prof. Song Guo will share some interesting ideas about Neural-enhanced Edge Perception Systems.

Date: 21 Oct 2022
Time: 04:15 PM to 05:45 PM (JST)

Location: Room R205, Education & Research Building No. 8, Muroran Institute of Technology, 27-1 Mizumoto-cho, Muroran, Hokkaido, 0508585 Japan.

CO-ORGANIZED BY:

IEEE Sapporo Section Young Professionals (YP)

IEEE Muroran Institute of Technology Student Branch

Emerging Networks and Systems Laboratory (ENeS), Muroran Institute of Technology

Topic: Neural-enhanced Edge Perception Systems

Abstract:

As to paving the last mile of enabling intelligent applications on ubiquitous edge devices, it is necessary to deploy the entire lifecycle (ecosystem) of data generation, representation extraction and model consumption near the user side, with the support of diverse machine learning techniques. This emerging scenario promotes the rise of Neural-enhanced Edge Perception (NEP) system, which handles the end-to-end processing procedure by synthetically optimizing the key components of large-scale learning paradigm, hardware-adaptive neural architecture and communication-efficient cross-device interaction. As a fundamental infrastructure to bring edge intelligence to the production environment, the NEP system offers great advantages in terms of multi-modality knowledge fusion, lightweight on-device analysis, real-time streaming processing and perfect rate-distortion balance on distributed collaborative devices. This talk gives a comprehensive inspection of implementing high-performance NEP systems, covering the realistic design challenges, possible solutions and promising research opportunities.