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Computational Intelligence and Multimedia Lab
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A lab covering a wide range of topics, from drones and smart agriculture to recommendation technology.

AboutAbout the lab
Building a super-infrastructure for multimedia.
The Computational Intelligence and Multimedia Lab studies how to use media such as text, images, and sound, along with the devices that handle them, to fundamentally improve people's lives.
Its work includes airframe design and image sensing for agricultural and disaster-response drones, next-generation learning support, recommendation for smart devices, and super-resolution technology.
Computational intelligence is listed among its research keywords, and the lab also values research on discrete mathematics, which underlies it.
The lab's website says that anyone interested is welcome to visit at any time.
Key terms
- Computational Intelligence
- A field that includes artificial intelligence, neural networks, fuzzy systems, genetic algorithms, chaos, and more.
- UAV
- An abbreviation of Unmanned Aerial Vehicle, the English name for a small unmanned aircraft.
- Discrete Mathematics
- A branch of mathematics that forms the foundation of computer science. It is one of the research subjects the lab values.
ResearchResearch themes
The lab aims to fundamentally improve people's lives by using the various kinds of media that circulate on the internet, as well as the devices that produce and consume them. From both an industrial perspective and a perspective spanning practical applications to basic theory, it studies a wide range of topics including drones, smart agriculture, and information recommendation, and it also places importance on discrete mathematics.
*Illustrative imageArtificial Intelligence, Computational Intelligence, and Generative AI
This theme covers artificial intelligence, computational intelligence, and generative AI. Its introduction begins by listing terms such as artificial intelligence, big data, and IoT.
*Illustrative imageSmart Agriculture (Infinite Farm)
This theme features the "Infinite Farm," which creates fields in virtual space to collect data. Its introduction begins by noting that soaring rice prices are straining household budgets and receiving major news coverage.
*Illustrative imageDrones and Smart Robotics
This theme features work on mounting ultra-high-definition cameras on unmanned aerial vehicles (UAVs). Its introduction mentions terms such as crops and mines.
*Illustrative imageTechnology as a Bridge to Humans
Under the title "Making Drones More Familiar," this theme addresses the potential of drones and the psychological distance people feel from them.
MembersFaculty
The members of the Computational Intelligence and Multimedia Lab consist of a Professor, administrative assistants, research fellows, and doctoral, master's, and undergraduate students.As of 2026
- ProfessorHajime Nobuhara
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: “Research Drone Flies Over Mars Hill (PIA26676)” NASA Jet Propulsion Laboratory / NASA/JPL-Caltech / Public domain (cropped)
- Artificial Intelligence, Computational Intelligence, and Generative AI: “Pleiades supercomputer racks 2” Oleg Alexandrov / CC BY-SA 4.0 (cropped)
- Smart Agriculture (Infinite Farm): “Two farmers driving a tractor towing a raft loaded with green rice sheaves in a paddy field of Vang Vieng Laos” Basile Morin / CC BY-SA 4.0 (cropped)
- Drones and Smart Robotics: “Drone Camera 01” Snehrashmi / CC BY-SA 4.0 (cropped)
- Technology as a Bridge to Humans: “Flying drone 04” daSupremo / CC BY-SA 4.0 (cropped)
- Related lab (知覚拡張システム研究室): “Wearing AR Glasses” Maxibu / CC BY-SA 4.0 (cropped)
- Related lab (森田直樹研究室): “High performance computing (HPC) data center ( )” ENERGY.GOV / Public domain (cropped)
- Related lab (バーチャルリアリティ研究室): “KAT Walk Omni-directional VR Treadmill” Tim Sheerman-Chase / CC BY 2.0 (cropped)
- Related lab (機械知能研究室): “Unraveling AI Complexity - A Comparative View of AI, Machine Learning, Deep Learning, and Generative AI” PopovaZhuhadar / CC BY-SA 4.0 (cropped)
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