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mai₂ Lab (Machine Intuition and Mathematical Reasoning Lab)
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The lab explores machine intuition and mathematical reasoning.
AboutAbout the lab
Exploring how humans and machines understand, reason, and compute.
mai₂ Lab (Machine Intuition and Mathematical Reasoning Lab) studies the question of whether humans and machines understand, reason about, and compute the same problem in different ways.
The lab explores this question from both sides: machine intuition and mathematical reasoning.
In addition to research on computer algebra using Transformers, the lab works on learning computation through deep learning, analyzing the basis for the decisions of image recognition AI, weather forecasting, and more.
The lab was launched in April 2025, when Associate Professor Kera joined the Institute for Advanced Academic Research at Chiba University.
Key terms
- Computer algebra
- A field of mathematics that computes with expressions such as polynomials as symbols, keeping them as formulas rather than converting them into numbers.
- Transformer
- A type of deep learning model that is good at capturing relationships within sequential data such as text.
- Deep learning
- A machine learning method that automatically learns rules from data using neural networks stacked in many layers.
NewsLab news
A paper by a PhD student was accepted to CVPR 2026 and selected as a Highlight
A paper by Associate Professor Kera was accepted to NeurIPS 2025
A PhD student received the Young Researcher Award at IWACIII 2025
A paper by Associate Professor Kera was accepted to ISSAC 2025
A paper by a PhD student was accepted to the International Journal of Advanced Robotic Systems
ResearchResearch themes
Do humans and machines understand, reason about, and compute the same problem in different ways? The lab explores this question from both sides: machine intuition and mathematical reasoning.
*Illustrative imageLearning Computation Patterns with Deep Learning
Just as computational tools have expanded the range of human calculation, this theme explores how far deep learning can extend "computation" itself. It targets calculations such as arithmetic and algebra.
*Illustrative imageVisualizing the Basis for Image Recognition AI Decisions
The lab visualizes and analyzes what image recognition AI looked at to reach its decision, using measures from game theory.
*Illustrative imageMatching Objects That Are Similar but Different
The lab works on human-like, high-level matching that links objects that are not identical but correspond to each other, such as a cheetah and a husky, or a photograph and an illustration.
*Illustrative imageWeather Intervention to Mitigate Torrential Downpours
The lab works on improving the accuracy of weather forecasting with deep learning, and on methods to manipulate weather fields in a physically plausible way in order to reduce damage from heavy rain.
MembersFaculty
The members of mai₂ Lab consist of faculty, project researchers, PhD, master's, and undergraduate students, and a secretary.As of 2026
- Associate ProfessorHiroshi Kera
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: “Rear of rack at NERSC data center” Derrick Coetzee from Berkeley, CA, USA / CC0 (cropped)
- Learning Computation Patterns with Deep Learning: “Abacus Kit” Manju Thilagavathi / CC0 (cropped)
- Visualizing the Basis for Image Recognition AI Decisions: “BalticServers data center” BalticServers.com / CC BY-SA 3.0 (cropped)
- Matching Objects That Are Similar but Different: “Jigsaw puzzle in progress” Balise42 / CC BY-SA 4.0 (cropped)
- Weather Intervention to Mitigate Torrential Downpours: “Cumulonimbus cloud over the Sundarbans, West Bengal, India 02” Kingshuk Mondal / CC BY 4.0 (cropped)
- Related lab (石山研究室): “NCCS Discover Supercomputer (GSFC )” NASA Goddard Space Flight Center / NASA/GSFC/Bill Hrybyk / Public domain (cropped)
- Related lab (須鎗・森研究室): “139 Server Room 01” Indrajit Das / CC BY-SA 3.0 (cropped)
- Related lab (関屋・グエン研究室): “Telecommunications towers of Bukit Nyabau, Bintulu” Wee Hong / CC BY-SA 4.0 (cropped)
- Related lab (小室研究室): “Cell Tower in Stykkishólmur” Kevin Kandlbinder / CC BY 4.0 (cropped)
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