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...
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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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Gaussian Process Regression
[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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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...
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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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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
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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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...
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