Deep Learning

Beyond the Solvent-Quality Trade-Off: How AI Chain Analysis Links Ink Formulation to Print Quality
Precise Optimization, Contribution Analysis, Chain Analysis, Gaussian Process Regression, Bayesian Analysis, Prediction and Optimization, Multi-Input Multi-Objective Analysis, Deep Learning

Beyond the Solvent-Quality Trade-Off: How AI Chain Analysis Links Ink Formulation to Print Quality

When you pick up a brightly printed bag of snacks at the supermarket, have you ever wondered how those vivid colors in the package were produced? For many years, printing...
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What AI Can Reveal About Dementia/Alzheimer’s Disease Risk from Brain Imaging and Simple Tests
Prediction and Optimization, Deep Learning, Contribution Analysis

What AI Can Reveal About Dementia/Alzheimer’s Disease Risk from Brain Imaging and Simple Tests

A quick cognitive screening test that takes only a few minutes, and brain-volume data automatically obtained from MRI scans: If these two pieces of information are brough...
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The AI-Discovered “Golden Ratio” of Tennis Racket Design How Multi-Sigma® Reveals the Design Formula Behind Winning Performance
Precise Optimization, Contribution Analysis, Prediction and Optimization, Multi-Input Multi-Objective Analysis, Deep Learning

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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Using AI to Predict Global Warming Potential for Sustainable Refrigerant Design
Deep Learning, Contribution 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...
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