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]
This video is presented here with the permission of the speakers.
Any downloading, storage, reproduction, and redistribution are strictly prohibited
without the prior permission of the respective speakers.
Go to Full Disclaimer.
This video is archived and disseminated for educational purposes only. It is presented here with the permission of the speakers, who have mandated the means of dissemination.
Statements of fact and opinions expressed are those of the inditextual participants. The HKBU and its Library assume no responsibility for the accuracy, validity, or completeness of the information presented.
Any downloading, storage, reproduction, and redistribution, in part or in whole, are strictly prohibited without the prior permission of the respective speakers. Please strictly observe the copyright law.