Multi-Sigma Blog

Multi-Sigma Blog

Bringing the Power of AI to R&D

Articles on Multi-Sigma update information and tips on how to make the most of it.

The Future of Preparedness:How AI-Powered Multi-Sigma® Predicts the Threat of Tsunamis
Surrogate Model, Prediction and Optimization, 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...
Read More
Unlocking the Best Wake-Up with multiple AI: Optimizing Sleep Conditions through Multi-Sigma® AI Chain Analysis
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...
Read More
Using AI to Predict Global Warming Potential for Sustainable Refrigerant Design
Deep Learning, Factor Analysis

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...
Read More
Driving Innovation with AI Chain Analysis: Integrating Experimental Data for High-Performance MOF Development
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...
Read More
Exploration of next-generation solar cell materials using Multi-Sigma

Exploration of
next-generation solar cell materials using Multi-Sigma

Using the AI analysis platform Multi-Sigma®, we will construct a prediction model of formation energy and bandgap based on material descriptors. The models were linked fo...
Read More
Dimensionality Reduction (1): Principal Component Analysis

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...
Read More
Monte Carlo Simulation using AI
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...
Read More
[Efficient Condition Exploration] Bayesian Optimization using Multi-Sigma
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...
Read More
Virtual Experiments Using AI Chain Analysis to Support the Modularization and Systematization of Production Processes
Chain Analysis

Virtual Experiments Using AI Chain Analysis to Support the Modularization and Systematization of Production Processes

AIZOTH Inc. has developed an innovative AI chain analysis system, the first of its kind in the world. This internationally patented analysis system will be available on t...
Read More
Multi-Sigma: Simultaneously predicting multiple outputs and performing multi-objective optimization through inverse analysis.
AI-Driven Design of Experiments

Multi-Sigma: Simultaneously predicting multiple outputs and performing multi-objective optimization through inverse analysis.

The recent advancements in AI tools have been remarkable, leading to the emergence of numerous no-code applications for leveraging machine learning and deep learning, com...
Read More
Need help? Contact us! Contact Us
Try! Free trial Free trial