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Machine Learning, Data Mining, and AI Lab
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The lab conducts research on machine learning, data mining, and AI.
AboutAbout the lab
Researching AI through machine learning and data mining.
The Machine Learning, Data Mining, and AI Lab conducts research on machine learning, data mining, and AI.
As one example, the lab uncovers human thought patterns and biases by studying "bad explanatory texts about data," a tricky kind of misinformation.
The lab also works on recommendation systems that suggest products and other items, anomaly detection from images and video, and autonomous mobile robots.
On the lab's website, it is presented under the name "Suzuki Lab."
Key terms
- Data mining
- A technology for finding useful rules and trends in large amounts of data
- Recommendation
- A mechanism that suggests products and other items tailored to each user
- Deep reinforcement learning
- A method that uses deep learning to teach a system how to choose actions based on the results of trial and error
NewsLab news
View More ↗ResearchResearch themes
The lab conducts research on machine learning, data mining, and AI. Its topics include analysis of explanatory texts containing misinformation, recommendation, anomaly detection from images and video, and autonomous mobile robots.
*Illustrative imageAnalyzing Explanatory Texts Containing Misinformation
The lab uncovers human thought patterns and biases by studying "bad explanatory texts about data," a tricky kind of misinformation. The research aims to build AI that "understands higher-level meaning."
*Illustrative imageRecommendation
On recommendation, which suggests products and other items to users, the lab is working on research that integrates linear, deep learning, and LLM approaches.
*Illustrative imageAnomaly Detection in Images and Video
The lab works on anomaly detection from images and video. Its research topics include detection of unusual facial expressions and anomaly detection for monitoring and watching over people.
*Illustrative imageLearning and Discovery in Autonomous Robots
The lab studies autonomous mobile robots that observe data on their own and make discoveries and learn from them. It also works on representation learning for deep reinforcement learning.
MembersFaculty
The members of the Suzuki Lab consist of faculty members and doctoral, master's, and undergraduate students.As of 2026
- ProfessorEinoshin Suzuki
- Assistant ProfessorTetsu Matsukawa
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: “Korean Robot” ApexInfinity Games / CC0 (cropped)
- Analyzing Explanatory Texts Containing Misinformation: “Recognizing fake news & misinformation” Kozak005 / CC BY-SA 4.0 (cropped)
- Recommendation: “Woman shops online with a small shopping cart and cash in a modern office setting during the afternoon” Shixart1985 / CC BY 2.0 (cropped)
- Anomaly Detection in Images and Video: “Bahnhofsplatz Wiesbaden Panomera®-Kamera” Bernd Schwabe in Hannover / CC BY-SA 4.0 (cropped)
- Learning and Discovery in Autonomous Robots: “Vector3DHD autonomous robot and EnZone wireless charging” PattyK33 / CC BY-SA 4.0 (cropped)
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データ・インタラクション研究室): “APRENDIZAJE SIGNIFICATIVO” SAMMYTQM / CC BY-SA 4.0 (cropped)
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