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2024/01/24
[活動宣傳] 2/1 日本學者訪台交流座談會
中心將於2024年2月1日下午2:00 - 4:00,於資工系德田館210會議室舉行演講座談會,
本次座談會很榮幸邀請到兩位日本人工智慧與機器人研究學者前來交流,歡迎中心成員們一起共襄盛舉參與討論。

講者一:川西康友博士(理化學研究所)
講題:Scene Understanding Research in RIKEN Guardian Robot Project
 
川西康友博士為日本理化研究所的研究員,主持 Multimodal Data Recognition Research Team實驗室。他的研究專長為機器人視覺,近年並負責一項大型陪伴機器人計畫 The Guardian Robot Project。本次演講中將分享該計畫的經驗與成果。
The Guardian Robot Project (GRP) promoted by RIKEN aims to develop autonomous robots that make people feel they have their own "mind." Towards realizing the robots, 6 laboratories are working together on AI and Robotics research. In this talk, I will introduce the project and our scene understanding research working in my laboratory.
Yasutomo Kawanishi is the team leader of the Multimodal Data Recognition Research Team at the RIKEN Guardian Robot Project (GRP). He is a visiting professor at Nara Institute of Science and Technology (NAIST). His main research areas are computer vision and pattern recognition.

講者二:正司哲朗博士(奈良大學)
講題:Digital Archaeology: AI in Identification of Bird Bones, and Digital Cultural Heritage
 
正司哲朗博士為奈良大學社會學系教授,研究專長為數位典藏、電腦視覺。他長期在蒙古對公元前2世紀至公元前18世紀的考古遺址進行數位典藏研究工作,並開發各種VMAR數位復原技術與展示系統。在本次演講座談中也將詳細分享他的經驗。
TETSUO SHOJI received his B.E. and Ph.D. degrees in Electronics and Informatics from Ryukoku University, Japan, in 1997 and 2003, respectively. He focused on researching digital archives of classics and rare books during his postdoctoral fellowship at Ryukoku University in 2003. From 2004 to 2008, he was a researcher and an appointed assistant professor at Kyoto University, Japan, in charge of developing educational information systems and media. Since 2008, he has been an associate professor and then a professor at the Department of Sociology, Nara University, Japan. His research interests include computer vision for cultural heritage recognition. He devoted himself to field studies in Mongolia for decades, constructing the digital archive from the Bronze Age to the Qing Dynasty period.

歡迎中心各位成員共襄盛舉,進行學術交流。
請有意願且能出席參與的成員,協助填寫表單報名,
報名連結:https://forms.gle/19GhvZFJ9Q288f2g7
若有任何問題,歡迎隨時來信來電詢問。謝謝!