LAB LOGA page on LabLog, a review site (not the lab's official page)
Cultural Intelligence Science Lab
Machine-translated · View original
A lab that uses mathematics and AI to uncover the evolution of artistic culture such as music and painting.
AboutAbout the lab
Using mathematics to uncover the intelligence and evolution that underlie artistic culture.
The Cultural Intelligence Science Lab mathematically elucidates the intelligence that underlies artistic culture and the mechanisms of cultural development, and studies information technology that helps cultural development.
It aims to build models that describe in a unified way everything from the intellectual activities of creators and audiences to the evolution of how knowledge is distributed within social groups.
Its work ranges from basic research in machine learning, evolutionary theory, and statistical physics to applied research such as technologies for analyzing and generating music, paintings, and literature.
The lab also conducts social experiments using systems such as automatic composition systems.
Key terms
- Automatic music transcription
- Technology in which a computer listens to the sound of a performance and automatically writes it out as a musical score
- Transcription by ear
- The task of listening to a recorded song and writing out its score or performance relying on hearing alone
- Statistical physics
- A field of physics that uses probability and statistics to explain the properties shown by large collections of objects
NewsLab news
A master's student received the Student Encouragement Award (Best Research Award) at the Music Informatics Research Group of the Information Processing Society of Japan
Associate Professor Eita Nakamura received the 22nd Best Paper Award from the Institute of Image Electronics Engineers of Japan
Recruitment of participants has begun for the KIKIGAKI Vocal Project
A master's student received a Student Encouragement Award at the Music Informatics Research Presentation Meeting of the Information Processing Society of Japan
An undergraduate student received a Student Encouragement Award at the 87th National Convention of the Information Processing Society of Japan
ResearchResearch themes
The Cultural Intelligence Science Lab aims to mathematically uncover the intelligence that underlies artistic culture such as music and painting, and the mechanisms by which culture develops. To this end, it builds models using machine learning, evolutionary theory, and statistical physics, and develops information technology such as automatic music transcription.
*Illustrative imageMusic information processing
The lab studies information technology for music, including automatic music transcription, music synchronization, automatic composition, automatic arrangement, automatic accompaniment, and piano fingering estimation.
*Illustrative imageModels and analysis of cultural evolution
Drawing on evolutionary dynamics and stochastic models of cultural evolution, the lab studies the analysis and prediction of how creative styles evolve, as well as the analysis of reference networks.
*Illustrative imageProject to train a transcription-by-ear AI
An AI automatically transcribes the main vocals of songs with accompaniment, and participants check and correct the results. The lab runs a project that uses the logs of those correction operations to train and improve the transcription-by-ear AI.
MembersFaculty
The members of the Cultural Intelligence Science Lab consist of faculty members, graduate students, and undergraduate students.As of 2026
- Associate ProfessorEita Nakamura
VoicesStudent voices
Ratings and reviews reflect the experiences of individual current or former students, not the lab's official views. Whether a lab has reviews, or how many, says nothing about the lab itself.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
Student ratings (0 students)
--
--
--
--
--
--
Student voices answer questions like these
- What's great about this lab?
- What did you learn after joining?
- What's the vibe, and what is the professor like?
- Who is this lab for?
- Where do graduates go?
Your experience can help younger students choose their lab. Your name won't be shown.
Write a lab reviewAnonymous · Your draft is saved if you stopRelatedLabs similar to Cultural Intelligence Science Lab
Human Information Science LabGraduate School of Information Science and Electrical Engineering, Division of Intelligent Science, Division of Intelligent Science, Division of Intelligent ScienceBiosensors, human informatics, biological information proces…
Machine Learning Theory LabGraduate School of Information Science and Electrical Engineering, Division of Intelligent Science, Division of Intelligent Science, Division of Intelligent ScienceComputational learning theory, online decision-making, and t…
Statistical Learning LabGraduate School of Information Science and Electrical Engineering, Division of Intelligent Science, Division of Intelligent Science, Division of Intelligent ScienceBioinformatics, cheminformatics, machine learning, statistic…
Natural Language Processing LabGraduate School of Information Science and Electrical Engineering, Division of Intelligent Science, Division of Intelligent Science, Division of Intelligent ScienceLarge language models, deep learning, natural language proce…The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
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: “Jacques-Louis David - Oath of the Horatii - Google Art Project” Anne-Louis Girodet / After Jacques-Louis David / Public domain (cropped)
- Music information processing: “Evaristo Baschenis - Musical Instruments - 49.1789 - Museum of Fine Arts” Evaristo Baschenis / Public domain (cropped)
- Models and analysis of cultural evolution: “Tsuglag Gyatso, the Third Pawo Rinpoche (c. ) - Google Art Project” 作者不詳 / Public domain (cropped)
- Project to train a transcription-by-ear AI: “Sulho Sipilä Interior, woman playing the piano 1931” (Sulho Vilhelmi Sipilä) / Public domain (cropped)
- Related lab (人間情報科学研究室): “NASA Medical Monitoring 4” NASA / Public domain (cropped)
- Related lab (機械学習理論研究室): “Decision Tree Anatomy” Lapollard / CC BY-SA 4.0 (cropped)
- Related lab (統計的学習研究室): “AI relation to Generative Models subset, venn diagram” The Original Benny C / CC BY-SA 4.0 (cropped)
- Related lab (自然言語処理研究室): “Search Engine Results Page (SERP) Graphic Illustration” Muhammad Rafizeldi / CC BY 4.0 (cropped)
About LabLog
LabLog is a lab review app for students only. Student members at each university interview students in labs and publish what they say. Student voices can only be read by students who sign up with a university email address. Operated by bestiee Inc.
Learn more about LabLog ↗Search engines and AI may reference the basic lab info and rating summaries on this page and the description of LabLog. Student voices are for student members only. Automated collection by programs (scraping, or input to or training of AI) is prohibited under Article 8 of the Terms of Service. If you need data for research or analysis, please contact us.