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Matsuo-Iwasawa Lab
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The lab takes on the challenge of creating intelligence, with a focus on deep learning.

AboutAbout the lab
Nurturing the pioneers of our time and sending them out into the world
The Matsuo-Iwasawa Lab conducts basic and applied research in artificial intelligence, centered on deep learning.
With the mission of "creating intelligence," the lab works on world models, large language models, robotics, and brain-inspired AI.
Beyond research, the lab builds an ecosystem around the technology, including education, social implementation through joint research with companies, and support for starting a company.
The lab also offers courses on topics such as deep learning and large language models.
Key terms
- Deep Learning
- A machine learning method that learns features from large amounts of data using neural networks with many stacked layers
- World Model
- A model that an AI holds internally of how its surrounding environment works and how the environment changes when the AI acts
- Large Language Model
- An AI that learns from large amounts of text and can read and write text like a human
NewsLab news
Paper accepted at IEEE/WIC WI-IAT 2026
Paper accepted by Neurocomputing
Paper accepted by Advanced Intelligent Systems
Paper accepted at EMNLP 2026
Paper accepted by TMLR
ResearchResearch themes
The lab conducts a wide range of basic and applied research in artificial intelligence, centered on deep learning. By building intelligence from an engineering approach, it aims to uncover how human intelligence works.
*Illustrative imageWorld Models
Research on building world models that capture the structure of an environment from diverse information and can adapt to unfamiliar environments. The lab has established an endowed chair and is also advancing the application and implementation of world models in robotics.
*Illustrative imageNext-Generation Neural Networks
The lab aims to develop new models and learning algorithms that go beyond the limits of current deep learning. Its work includes NeuroAI and mechanisms that enable neural networks to create neural networks on their own.
*Illustrative imageArtificial Intelligence Inspired by the Brain
Research that draws on findings from neuroscience to uncover the information representations, mechanisms, and algorithms that underlie computation in the brain. The lab also aims to connect the resulting insights to its research on world models and robotics.
*Illustrative imageRobotics
Research that approaches the question "What is intelligence?" through physical robots. Robot arms, simulators, and various sensors can be used in combination, and there is a dedicated floor for testing robots in the real world.
MembersFaculty
The members of the Matsuo-Iwasawa Lab consist of faculty, researchers, board members, staff, collaborating researchers, and doctoral, master's, and undergraduate students.As of 2026
- ProfessorYutaka MatsuoPublications ↗
- Associate ProfessorYusuke Iwasawa
- Project Associate ProfessorKan HatakeyamaPublications ↗
- Project Associate ProfessorShinpei KatoPublications ↗
- Project LecturerMasahiro Suzuki
- Project LecturerMasanori Koyama
- Project LecturerKohei HayashiPublications ↗
- Project LecturerZihui Li
- Project LecturerYaonan ZhuPublications ↗
- Project LecturerTaiki MiyanishiPublications ↗
- Project Assistant ProfessorPaavo ParmasPublications ↗
- Project Assistant ProfessorTatsuya MatsushimaPublications ↗
- Project Assistant ProfessorEdison Marrese-Taylor
- Project Assistant ProfessorMakoto KawanoPublications ↗
- Project Assistant ProfessorYoshimasa TawatsujiPublications ↗
- Project Assistant ProfessorTakeshi Kojima
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: “Deep-dream-white-noise-0036” MartinThoma / CC0 (cropped)
- World Models: “"Punktewolke" Berlin Vertikale Vermessung des Hauptbahnhofs ( )” DLR German Aerospace Center / CC BY 2.0 (cropped)
- Next-Generation Neural Networks: “Deep Learning” Sven Behnke / CC BY-SA 4.0 (cropped)
- Artificial Intelligence Inspired by the Brain: “Cortical neurons” Luisa Demarchi, Ilaria Bertocchi, Alessandra Oberto / CC BY-SA 4.0 (cropped)
- Robotics: “Cognitive Service Robot Cosero” Sven Behnke / CC BY-SA 4.0 (cropped)
- Related lab (大澤研究室): “Wikidata in the Linked Open Data cloud” Thomas Shafee / CC BY 4.0 (cropped)
- Related lab (鳥海研究室): “Social Network Visualization” Martin Grandjean / CC BY-SA 4.0 (cropped)
- Related lab (川崎研究室): “OverviewAPMTerminalsMV2” Zandcee / CC BY-SA 3.0 (cropped)
- Related lab (和泉研究室): “Scramble from above, SHIBUYA SKY ( ) (cropped)” Sei F from Tokyo, Japan / CC BY-SA 2.0 (cropped)
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