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Machine Intelligence Lab
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The lab studies machine learning and reinforcement learning that let machines adapt to people.
AboutAbout the lab
Realizing technology in which machines adapt to people.
The Machine Intelligence Lab studies technology that lets "machines adapt to people" rather than "people adapt to machines."
The lab focuses on the software that controls systems, and is strong in machine learning, a field within artificial intelligence.
Machine learning is a technology that trains machines using data so that they behave in ways that are useful to people.
Rather than having machines learn everything, the lab's policy is to actively incorporate premises and knowledge that are already known, and it approaches the work from both theoretical and applied sides.
Key terms
- Machine learning
- Machine learning: an artificial intelligence technology that trains machines using data so that they behave in ways that are useful to people.
- Reinforcement learning
- Reinforcement learning: a learning framework in which a learner proactively learns appropriate behavior through trial and error.
- Reward
- Reward: a signal that tells the learner "that was good." In reinforcement learning, this is the only thing the designer designs.
ResearchResearch themes
The Machine Intelligence Lab studies the software that controls systems as a technology for letting "machines adapt to people." Building on technologies from information fields such as artificial intelligence and machine learning, the lab explores new forms of machine intelligence.
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MembersFaculty
The Machine Intelligence Lab's members include faculty and doctoral, master's, and undergraduate students.As of 2026
- Associate ProfessorTakeshi Shibuya
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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: “Unraveling AI Complexity - A Comparative View of AI, Machine Learning, Deep Learning, and Generative AI” PopovaZhuhadar / CC BY-SA 4.0 (cropped)
- Theory and applications of reinforcement learning: “Feature Learning Diagram” Fgpacini / CC BY-SA 4.0 (cropped)
- Related lab (脳情報システム研究室): “Juggling Balls (81706016)” Richard Leonard / CC BY 2.0 (cropped)
- Related lab (人工知能研究室): “Shipboard Autonomous Firefighting Robot test aboard USS Shadwell (LSD-15) in November 2014” U.S. Navy photo by John F. Williams / Public domain (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 (神経情報科学研究室): “Young blonde white girl sleeping on the side” Alexandre Bernier Marceau / CC BY-SA 4.0 (cropped)
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