• 日程10/18
  • 時間10:00-12:40
  • 場所301

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AI technology development needed for sustainable AI business expansion

Is it possible to get sustainable AI business expansion as it is? When we are trying to apply AI technologies, we face many problems, such as “Deep learning is black box and hard to understand for humans”, because it depends on learning data. AIST think “AI Engineering”, “Cooperative AI” and “Dependable AI” are the most important research directions to solve the problems. Is this session, we discuss the problems and technologies to solve them by inviting leading edge speakers/panelists.

  • 10:00-10:20
    AI Research Direction of AIST/AIRC
    • National Institute of Advanced Industrial Science and Technology (AIST) Fellow / Director of Artificial Intelligence Research Center
      Dr. Junichi Tsujii
  • 10:20-10:40
    Overcoming the Data Annotation Bottleneck
    • Bosch Center for Artificial Intelligence, Director
      Prof. Bjoern Andres
  • 10:40-11:00
    Quality of machine learning software: Product, Service and Platform
    • National Institute of Informatics , Professor
      Dr. Shin Nakajima
  • 11:00-11:20
    Challenges for solving real-world problems by integrating simulation and machine learning
    • Osaka University The Institute of Scientific and Industrial Research
      Prof. Takashi Washio
  • 11:20-11:40
    Towards Quality Assurance of Machine-learning-based Systems
    • Hitachi, Ltd.
      Dr. Hideto Ogawa
  • 11:40-12:40
    Panel Discussion “Future AI for Industry”
    • Moderator
      Dr. Yoshio Seo
    • Panelist
      Fujitsu Ltd
      Dr. Fumihiro Maruyama
    • Panelist
      NEC Corp.
      Dr. Naomi Honda
    • Panelist
      Hitachi, Ltd
      Dr. Yuichiro Nakagawa
    • Panelist
      Toyota InfoTechnology Center Co., Ltd
      Dr. Shintaro Fukushima
    • Panelist
      Panasonic Corp.
      Dr. Tamao Okamoto

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