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AI and Society Series: 'Robotics and Embodiment' Online Seminar
AI and Society Series: 'Robotics and Embodiment' (Online Seminar)
in association withICCE, Goldsmiths, University of London
Held: Tuesday April 12, 2022
Focusing on robots, our third seminar explores the significance of the materiality of the body in the relationship between biology, AI and embodied knowledge.
Some of the computer scientists involved in robotics, such as Rolf Pfeifer and Josh Bongard, are inspired by biology and emphasise the significance of physical systems (the body) to better understand ‘intelligence’. They explore ‘how having a body affects intelligence’. This perspective on ‘embodied intelligence’ could resonate to some degree with the interdisciplinary field of body studies which considers ‘how the body shapes the way we think’ (Pfeifer & Bongard) or what the body can do. Common to biological inspired robotics and body studies is the challenge to ‘cognitivism’ along with the rejection of neuroreductionism. Embodiment in social sciences often implies a process of acquisition of tacit knowledge and techniques, which are often required through repetitive training and experience. This is ‘embodied knowledge.’ Embodied knowledge is a crucial prope
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Workshop Program
September 3, 2023
Meeting with Da Lat University
September 4, 2023
10:00-10:10:Opening section
10:10-11:00
Invited talk: Prof. Tomoko Matsui
Testing closeness of sequential data - analysis of COVID-19 evolution
Abstract: A practical algorithm for the analysis of sequential data closeness is introduced, based on the Markov chain tester. This algorithm has been applied to reported sequential data for COVID-19, enabling analysis of the disease's evolution during specific time periods (e.g., weekly, monthly).
Bio: TOMOKO MATSUI (Senior Member, IEEE) received the Ph.D. degree in computer science from the Tokyo Institute of Technology, Tokyo, Japan, in 1997. From 1988 to 2002, she was a Researcher in several NTT laboratories, focusing on speaker and speech recognition. From 1998 to 2002, she was a Senior Researcher with the Spoken Language Translation Research Laboratory, ATR, Kyoto, focusing on speech recognition. In 2001, she was an Invited Researcher with the Acoustic and Speech Research Department, Bell Laboratories, Murray Hill, NJ, USA, working on identifying effective confidence measures for verifying speech recognition results. She is currently a Professor with The Institute of Statistical Mathematics, Tokyo, working on statistical