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Ichise Lab
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An artificial intelligence lab that extracts knowledge from large amounts of information, consolidates it, and puts it to use.
AboutAbout the lab
Expanding human thought with computers
The Ichise Lab studies artificial intelligence with learning as its key.
The lab aims to have computers, on behalf of humans, extract the necessary knowledge from the flood of information, consolidate it, and make it usable.
In this way, the lab hopes to open up a world where computers can expand not only human memory but also human thought.
Recently, the lab has received awards for work such as a recommender system that uses knowledge graphs to explain its recommendations and research on detecting errors in large language models.
Key terms
- Knowledge graph
- Knowledge data that a computer can handle, representing people, things, and events as points (nodes) and the relationships between them as connecting lines
- Large language model
- An AI mechanism that learns from large amounts of text and can generate text that reads as if a person wrote it
- Ontology
- A system that organizes the things and concepts of a field and the relationships between them, defined so that computers can handle them
NewsLab news
A master's student and a faculty member received an Excellence Award at the IDR User Forum 2025
Research on hotel recommendation received the Information Processing Society of Japan (IPSJ) Computer Science Domain Encouragement Award
Research on a hotel recommendation system received the Outstanding Interactive Award, among others
Joint research on causal inference in finance received the Best Poster Award at an international machine learning conference
Research on detecting errors in large language models received the Best Paper Award at an international conference
ResearchResearch themes
To process the knowledge that humans and machines handle, the lab approaches research from the perspective of “learning.” It divides learning into the processes of discovering knowledge, integrating multiple pieces of knowledge, and using the integrated knowledge, and works on technologies that have computers carry out each of them.
*Illustrative imageKnowledge Discovery
This research is about having computers carry out the process of finding knowledge from a given phenomenon. So far, the lab has worked on technologies that find useful knowledge from research literature and hospital medical information.
*Illustrative imageKnowledge Integration
This research is about the process of consolidating multiple pieces of acquired knowledge. So far, the lab has worked on technologies that integrate different kinds of information, such as ontologies, so that they are semantically consistent.
*Illustrative imageKnowledge Utilization
This research is about the process of using integrated knowledge. So far, the lab has studied game-style learning materials for career design education that use knowledge representing researchers' activities, as well as technologies that use knowledge from people's experiences.
MembersFaculty
The members of the Ichise Lab are faculty members, doctoral, master's, and undergraduate students, and research students.As of 2026
- ProfessorRyutaro IchisePublications ↗
- Assistant ProfessorZiwei XuPublications ↗
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: “Bookshelves of red-covered journals” PeaceSeekers / CC BY 4.0 (cropped)
- Knowledge Discovery: “Racks Amravati Data Center” PiDatacenters / CC BY-SA 4.0 (cropped)
- Knowledge Integration: “Bookshelves in Faculty of Arts Library, Chulalongkorn University” Geonuch / CC BY-SA 4.0 (cropped)
- Knowledge Utilization: “A four-player game of the board game Azul” Gábor Zehetmayer / CC0 (cropped)
- Related lab (中田研究室): “Train headway diagram ja” Tam0031 / CC BY-SA 3.0 (cropped)
- Related lab (魚住研究室): “Tablets pills medicine medical waste” Pöllö / CC BY 3.0 (cropped)
- Related lab (小林研究室): “Aerial photograph of the Port of Miami Container Port” James R. Tourtellotte / Public domain (cropped)
- Related lab (河﨑研究室): “Go” Dietmar Rabich / CC BY-SA 4.0 (cropped)
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