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Hyper-Distributed Intelligent Learning Lab
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A lab that analyzes big data in real time with AI that cooperates and evolves by itself.
AboutAbout the lab
Science and technology innovation through hyper-distributed, self-evolving AI.
The Hyper-Distributed Intelligent Learning Lab (Matsubara Lab) aims to create science and technology innovation through hyper-distributed, self-evolving AI.
The lab envisions various terminals, equipment, and devices repeatedly working together and evolving themselves to capture complex natural and social phenomena from big data.
It aims to develop advanced AI technology that analyzes, learns from, and predicts the captured phenomena in real time, and optimizes future social activities as a whole.
In the Faculty of Engineering and the Graduate School of Information Science, it is also introduced under the name Sakurai-Matsubara Lab of the Intelligent Data Science Division.
Key terms
- Big data
- A large and diverse collection of data. Here, it is the material for capturing natural and social phenomena.
- Self-evolving AI
- The kind of AI this lab aims for, in which terminals and equipment repeatedly cooperate and evolve themselves.
- Global optimization
- Adjusting things so that the whole, rather than each individual part, reaches the best state.
ResearchResearch themes
The lab aims to create AI in which various terminals, equipment, and devices repeatedly cooperate and evolve themselves. It aims to develop technology that captures natural and social phenomena from big data and analyzes, learns from, and predicts them in real time.
View More ↗MembersFaculty
- ProfessorYasuko Matsubara
- Project Associate ProfessorZheng Chen
- Project Assistant ProfessorSheng Hu
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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).
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