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Challenges in Machine Learning Research

Dept. of Computer Science (February 18, 2022)

SEMINAR SERIES : Distinguished Lecture Series

MAJOR SPEAKER : Sugiyama, Masashi
LENGTH : 72 min.
ACCESS : Open to all
SUMMARY : Artificial intelligence became an indispensable tool to advance science and industry, and machine learning is one of the main driving forces to boost this movement.

In this talk, I will first introduce the activities of the RIKEN Center for Advanced Intelligence Project (RIKEN-AIP): RIKEN is Japan's largest and most comprehensive research organization for basic and applied science, and AIP is working on advancing fundamental artificial intelligence technologies (machine learning, optimization, etc.), their applications in accelerating scientific research (cancer, material, etc.) and solving socially critical problems (natural disaster, elderly healthcare, etc.), and discuss social aspects of artificial intelligence (ethical guidelines, personal data management, etc.).

Then I will give an overview of our recent research achievements on reliable machine learning: In modern applications of machine learning, it becomes increasingly important to consider robustness against various factors such as data bias (caused by changing environments, privacy concerns, etc.) and insufficient and inaccurate information (due to weak supervision, label noise, etc.). We have developed theories and algorithms of machine learning to cope with such problems.  [Go to the full record in the library's catalogue]

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