An invited talk co-organized by IEEE Sapporo Section YP will be held on May 25, 2022.

Date: 15:00-16:30 (JST)

Location: Y203, Education & Research Building No. 7, Muroran Institute of Technology, 27-1 Mizumoto-cho, Muroran, Hokkaido, 0508585 Japan


IEEE Muroran Institute of Technology Student Branch

IEEE Sapporo Section Young Professionals (YP)

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

Speaker: Takashi Morita, Assistant Professor, Osaka University

Topic: Toward biological discoveries through the eyes of AI


Development of deep learning methods in the past decade significantly improved machine learning performance in various fields. Exploitation of deep learning has also been explored in scientific research. In this talk, I will review applications of deep learning to biological analyses, mainly focusing on behavioral/ecological studies. Biological applications are categorized into two types based on their goals. On the one hand, a number of machine learning applications aim to replace and automate manual tasks of researchers to save their time and/or scale up the analysis. On the other hand, there have been attempts to make scientific discoveries through the eyes of AI that complement human researchers‘ insights, to which I direct specific attention in this talk. While the former applications are accomplished by naively adopting canonical supervised machine learning, researchers heading toward the latter goal utilize unsupervised or weakly supervised models to reduce humans’ bias and reveal AI’s novel viewpoints via visualization techniques.