tiny ML Asia 2021 Haochen Xie: An approach to dynamically integrate heterogenous AI

tinyML Asia 2021 An approach to dynamically integrate heterogenous AI components in a multimodal user authentication system use case Haochen XIE 謝 昊辰; ｺﾄｲ ｺｳｼﾝ, Project Leader, Team Dragon, AnchorZ Inc. n this talk, we will introduce our approach to a challenging task: to effectively and dynamically integrate multiple AIbacked components where each component varies in the kind of AI technologies it uses, in order to implement a single functionality continuous multimodal user authentication. In building our nextgeneration user authentication system DZ Security , we needed a way to effectively integrate multiple elemental authentication methods, such as facial recognization, voice recognization, touch pattern, etc. , that employ very different types of AI technologies, such as DNN, RNN, analytical regression, etc. , in a flexible and effective manner. We also needed the combination method to support an open set of element