Search results: Multi-Sigma
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
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...
Read more
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
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...
Read more
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
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...
Read more
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...
Read more
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...
Read more
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
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