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Cultural Intelligence Science Lab
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A lab that mathematically elucidates the intelligence behind arts and culture and the mechanisms by which culture develops.
AboutAbout the lab
Unraveling the evolution of arts and culture through mathematics
The Cultural Intelligence Science Lab studies, mathematically, the intelligence that underlies arts and culture and the mechanisms by which culture develops.
Building on machine learning, evolutionary theory, and statistical physics, it researches technologies for analyzing and generating music, painting, literature, and more.
The lab also conducts social experiments using systems such as automatic music composition systems.
It works to produce people who have expertise in informatics and physics and who can research and develop artificial intelligence technologies from the perspective of social development.
Key terms
- Automatic music transcription
- Technology that automatically writes a performance out as a musical score
- Cultural evolution
- A view that treats the process by which culture, such as the styles of artworks, changes over time as evolution
- By-ear transcription AI
- AI that automatically produces candidate scores or MIDI from a recording of a performance it has listened to
NewsLab news
A master's student receives the Student Encouragement Award (Best Research Award) at a research meeting of the Information Processing Society of Japan (IPSJ)
Associate Professor Nakamura receives the 22nd Best Paper Award from the Institute of Image Electronics Engineers of Japan
A master's student receives the Student Encouragement Award at the IPSJ Music Informatics Research Meeting
An undergraduate student receives the Student Encouragement Award at the 87th National Convention of IPSJ
Associate Professor Nakamura joins Kyushu University
ResearchResearch themes
The lab studies, mathematically, the intelligence underlying arts and culture and the mechanisms by which culture develops, and researches information technologies that contribute to cultural development. It aims to describe everything, from the intellectual activities of creators and audiences to the evolution of how knowledge is distributed within social groups, with a single model.
*Illustrative imageMusic information processing
The lab researches information technologies that handle music, including automatic transcription, which writes performances out as musical scores, as well as automatic composition, automatic arrangement, automatic accompaniment, music synchronization, and piano fingering estimation.
*Illustrative imageModels of the evolution of arts and culture
The lab analyzes the evolution of creative styles using evolutionary dynamics and stochastic models of cultural evolution. It also works on predicting evolution and on reference network analysis.
*Illustrative imageA project to train a by-ear transcription AI
In the KIKIGAKI project run by the lab, an AI automatically transcribes the main vocal of a song, and participants check and correct the result. The corrections and the record of operations are used to train and improve the by-ear transcription AI.
MembersFaculty
The members of the Cultural Intelligence Science Lab consist of faculty, graduate students, and undergraduate students.As of 2026
- Associate ProfessorEita Nakamura
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Anthem of Kamchatka Krai (orchestra and choir sheet music)” Lyrics: Boris Savvovich Dubrovin (ru) Music: Evgeniy Ivanovich Morozov (ru) / Public domain (cropped)
- Music information processing: “Aspects of music illustration” The original uploader was Hyacinth at English Wikipedia. / CC BY-SA 3.0 (cropped)
- Models of the evolution of arts and culture: “Mona Lisa, by Leonardo da Vinci, from C2RMF retouched” Leonardo da Vinci / Public domain (cropped)
- A project to train a by-ear transcription AI: “C'est pour rire ! - polka (pour piano) - Rodolphe Berger ; (ill. par) Clérice Frères - btv1b of 8)” Berger, Rodolphe ( ). Compositeur / Public domain (cropped)
- Related lab (Intelligent Modeling Lab): “Geodesic grid MPAS ocean simulation vorticity 4096x4096” Jinrong Xie / CC BY-SA 4.0 (cropped)
- Related lab (Cognitive Science Lab): “'Let the Games Begin' Soldiers Train on Virtual Driving Simulator DVIDS106870” Spc. Elayseah Woodard-Hinton / Public domain (cropped)
- Related lab (Statistical Learning Lab): “Bioinformatics Division, National Institute of Biotechnology (NIB) laboratory” Ishtiaquebioinfo / CC BY-SA 4.0 (cropped)
- Related lab (Mathematical Systems Lab): “An UAV displayed by Vyomik drones at Amaravati Drone summit (01)” iMahesh / CC BY-SA 4.0 (cropped)
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