Contribution Analysis, Prediction and Optimization, Multi-Input Multi-Objective Analysis, Deep Learning, Precise Optimization
The AI-Discovered “Golden Ratio” of Tennis Racket Design
How Multi-Sigma® Reveals the Design Formula Behind Winning Performance
Introduction: The “best racket” might be your worst match Let us begin with a simple question. If you picked up the racket that Federer himself relies on, would you sudde...
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Time-series Data, Marketing Analysis
Sales Prediction and Contribution Analysis Based on Retail Sales Time Series Data
This blog article focuses on an analysis using a well-known retail sales time series dataset publicly available through an online data analysis platform. Across the retai...
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Precise Optimization
A Data-Driven Future:
AI Opening the Door to Personalized Medicine for Chronic Low Back Pain
In medicine, the ideal of providing “the right treatment for each individual” has long been held up as a goal worth pursuing. In practice, however, achieving that goal ha...
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Prediction and Optimization, Surrogate Model, Time-series Data
The Future of Preparedness:How AI-Powered Multi-Sigma® Predicts the Threat of Tsunamis
On July 30, 2025, televisions across the globe are filled with urgent news. A massive magnitude 8.8 earthquake has struck off the coast of Russia's Kamchatka Peninsula. A...
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Chain Analysis
Unlocking the Best Wake-Up with multiple AI: Optimizing Sleep Conditions through Multi-Sigma® AI Chain Analysis
“Despite sleeping well last night, I still feel unfocused today...” “Could my difficulty concentrating be linked to the way I slept?” Sleep plays a crucial role in determ...
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Contribution Analysis, Deep Learning
Using AI to Predict Global Warming Potential for Sustainable Refrigerant Design
Climate change has become one of the most pressing challenges of our time. Synthetic refrigerants used in cooling systems, such as air conditioning and refrigeration, con...
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Precise Optimization, Chain Analysis
Driving Innovation with AI Chain Analysis: Integrating Experimental Data for High-Performance MOF Development
Driving Innovation with AI Chain Analysis: Integrating Experimental Data for High-Performance MOF Development Introduction: Revealing the Whole Picture Through AI Chain M...
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Dimensionality Reduction (1): Principal Component Analysis
Introduction This article explains the concept of dimensionality reduction techniques. Specifically, we introduce a method called Principal Component Analysis (PCA) to pe...
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Monte Carlo Simulation
Monte Carlo Simulation using AI
Monte Carlo simulation is a powerful technique for estimating possible outcomes in systems with random input variables. In complex environments where an explicit objectiv...
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![[Efficient Condition Exploration] Bayesian Optimization using Multi-Sigma](https://aizoth.com/wp-content/uploads/2025/01/AdobeStock_1504228108-1024x574-1.jpeg)
Gaussian Process Regression, Bayesian Analysis
[Efficient Condition Exploration] Bayesian Optimization using Multi-Sigma
Have you ever experienced something like this?“I created a sales forecast, but I have no idea how reliable it is...”“I want to find the optimal manufacturing conditions f...
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