Search results: Multi-Sigma

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...
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Multi-objective optimization of an advanced Lorenz cycle (ALC) using a surrogate model based on Multi-Sigma®

Multi-objective optimization of an advanced Lorenz cycle (ALC) using a surrogate model based on Multi-Sigma®

Background In pursuit of a carbon-neutral society, the development of highly efficient thermal energy conversion technologies for both heating and cooling is becoming inc...
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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...
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Multi-Objective Optimization of MEMS Sensor Manufacturing Process with Multi-Sigma®

Multi-Objective Optimization of MEMS Sensor Manufacturing Process with Multi-Sigma®

We used the AI analysis platform, Multi-Sigma®, to predict and analyze factors and optimize the manufacturing of high-performance MEMS sensors 1. Prediction of performanc...
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[Efficient Condition Exploration] Bayesian Optimization using Multi-Sigma
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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Multi-Sigma: Simultaneously predicting multiple outputs and performing multi-objective optimization through inverse analysis.
AI Experimental Design Method

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...
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Multi-Sigma development story
Precise Optimization

Multi-Sigma development story

Motivation for Multi-Sigma development Thank you for reading this blog. Today, I'd like to share with you the motivation behind my development of Multi-Sigma. For 18 year...
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Using AI to Predict Global Warming Potential for Sustainable Refrigerant Design
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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Driving Innovation with AI Chain Analysis: Integrating Experimental Data for High-Performance MOF Development
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

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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