An invited talk by Prof. Minh-Son Dao, Senior Researcher, National Institute of Information and Communications Technology (NICT), Japan, will be held on October 12, 2022, at Zoom (online). Prof. Minh-Son Dao will share some interesting ideas about Multimodal and Crossmodal AI for Smart Data Analysis.

Date: 12 Oct 2022
Time: 08:45 AM to 10:15 AM (JST)

Location:

https://zoom.us/j/7701243471?pwd=ZFcrcmNPbmxtRC9qbTlackc3bWdtZz09

CO-ORGANIZED BY:

IEEE Muroran Institute of Technology Student Branch

IEEE Sapporo Section Young Professionals (YP)

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

Topic: Multimodal and Crossmodal AI for Smart Data Analysis

Abstract:

Recently, multimodal and crossmodal AI techniques have attracted the attention of communities. The former aims to collect disjointed and heterogeneous data to compensate for complementary information to enhance robust prediction. The latter targets to utilize one modality to predict another modality by discovering the common attention sharing between them. Although both approaches share the same target: generate smart data from collected raw data, the former demands more modalities, while the latter aims to decrease the variety of modalities. This tutorial first discusses the role of multimodal and crossmodal AI in smart data analysis in general. Then, the tutorial introduces the multimodal and crossmodal AI framework (MMCRAI) to balance the abovementioned approaches and make it easy to scale into different domains. This framework is integrated into xDataPF (the cross-data platform https://www.xdata.nict.jp/). The tutorial discusses various applications built on this framework and xDataPF for environment- mobility risks and safety driving.