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Inoe Lab
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The lab reads information through probabilistic models to build the foundation for creating intelligence.
AboutAbout the lab
Building intelligence, starting from its foundations.
The Inoe Lab's ultimate goal is to create intelligence artificially.
Because many hurdles remain before it can be given human-level generality, the lab is currently working on more fundamental problems.
The lab believes that processing information according to probabilistic models, and in particular handling high-dimensional distributions efficiently, is an essential foundation for realizing intelligence.
The lab believes these techniques and insights will prove powerful not only in speech and image processing but also in bioinformatics, such as the regulatory mechanisms of gene expression.
Key terms
- High-dimensional distribution
- How the values of many variables tend to be scattered when they are considered together. It becomes harder to handle as the number of variables grows.
- Graphical model
- A probabilistic model that expresses the relationships among many variables as a diagram of points connected by lines.
- Compressed sensing
- A method that recovers the original signal or image from a small amount of observed data, using prior knowledge as a clue.
NewsLab news
An open lab for lab assignment in the 2025 academic year was held in September
A student from the lab received a Poster Award in the graduate course "Special Exercise B"
ResearchResearch themes
The lab's ultimate aim is to create intelligence artificially. As the foundation for this, it works on processing information according to probabilistic models, in particular on handling high-dimensional distributions efficiently.
*Illustrative imageStructure estimation of graphical models
Using data that changes over time, such as readings from temperature, humidity, and pressure sensors attached to industrial machinery, the lab estimates the relationships among the sensors. Once the structure is known, it helps with anomaly detection, which finds current and future anomalies.
*Illustrative imageObject tracking with depth sensors
An object does not always look the same, because its pose changes, it deforms, or part of it is occluded. Using data from RGB-D sensors, the lab develops real-time tracking methods that are robust to such changes.
*Illustrative imageMRI image reconstruction
MRI scans take a long time and are a burden on patients. By using multiple coils and compressed sensing, the lab reconstructs clear images from a small amount of observed data, aiming to shorten scan time.
*Illustrative imageCT image reconstruction
X-ray CT examinations involve radiation exposure, so the dose used needs to be reduced. The lab aims to reduce the number of directions from which X-rays are applied and, using compressed sensing, obtain images of the same quality as those obtained with a sufficient number of directions.
MembersFaculty
The members of the Inoe Lab consist of faculty and contract researchers.As of 2023
- ProfessorMasato Inoe
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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: “Tabuleiros de Galton (antes e depois)” Exhibit made by Estes Objethos Atelier, photo by Rodrigo Tetsuo Argenton / CC BY-SA 4.0 (cropped)
- Structure estimation of graphical models: “Spider web Luc Viatour” Luc Viatour / CC BY-SA 3.0 (cropped)
- Object tracking with depth sensors: “Austin Texas LiDAR Point Cloud (Highway 183)” Rebecca equator / CC BY-SA 4.0 (cropped)
- MRI image reconstruction: “MRI brain sagittal section” everyone's idle / CC BY-SA 2.0 (cropped)
- CT image reconstruction: “CT Scanner (NIH BioArt )” NIAID Ryan Kissinger / Public domain (cropped)
- Related lab (Murata Lab): “BalticServers data center” BalticServers.com / CC BY-SA 3.0 (cropped)
- Related lab (Amasawa Lab): “Traditional Japanese wrapping cloth,huroshiki,katori-city,japan” katorisi / CC BY 3.0 (cropped)
- Related lab (Iwasaki Lab): “Cyanobacteria 029” Lamiot / CC BY-SA 3.0 (cropped)
- Related lab (Okubo Lab): “Lithium-Ion Cell cylindric” RudolfSimon / CC BY-SA 3.0 (cropped)
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