Project Prof. Yukie Nagai is going to give an Invited Talk at IJCAI

Project Prof. Yukie Nagai is going to give an Invited Talk at the International Joint Conference on Artificial Intelligence – Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI), which is one of the world’s largest AI conferences. Her talk title will be “Does Predictive Coding Provide a Unified Theory of Artificial Intelligence?” This year’s conference will be held online. Please […]

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Project Prof. Yukie Nagai is going to give a Plenary Talk at a world largest robotics conference called IROS

Project Prof. Yukie Nagai is going to give a Plenary Talk at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), which is one of the world’s largest robotics conferences. Her talk title will be “Cognitive Development in Humans and Robots: New Insights into Intelligence.” This year’s conference will be held on demand, and its registration is free. Please […]

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Three Special Issues are looking for paper submissions

The following special issues co-edited by Proj. Prof. Yukie Nagai are looking for submissions: Research Topic “Affective Shared Perception” in Frontiers in Integrative Neuroscience Research Topic “Human-Agent Interaction – Selected Papers from the 8th Edition of the HAI International Conference” in Frontiers in Robotics and AI Special Issue on Symbol Emergence in Robotics and Cognitive Systems in Advanced Robotics

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Project Prof. Nagai’s interview by Kodansha Bluebacks has been published

Project Prof. Nagai was interviewed by Kodansha Bluebacks. Our research activities at IRCN are introduced. 講談社ブルーバックス, “ロボットが教えてくれる「偏見のない世界」の作り方,” 2020年8月27日. [HP] WPIフォーラム, “ロボットが教えてくれる「偏見のない世界」の作り方(上),” 2020年8月27日. [HP] WPIフォーラム, “ロボットが教えてくれる「偏見のない世界」の作り方(下),” 2020年8月27日. [HP]

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Paper written by Dr. Stefan Heinrich has been accepted in SMC2020

A paper written by Dr. Stefan Heinrich has been accepted in the 2020 IEEE International Conference on Systems, Man, and Cybernetics. It proposes a novel mechanism to optimize time scales of a recurrent neural network through learning. Stefan Heinrich and Yukie Nagai, “Learning Timescales in Gated and Adaptive Continuous Time Recurrent Neural Networks,” in Proceedings of the 2020 IEEE International […]

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