A Georgia Tech CS professor is a co-author of a new OpenAI study that examines why large language models struggle to say, 'I don't know.' An Adobe Stock AI-generated image of Socrates, sculpted in ...

ABSTRACT: This study explores a comprehensive statistical model for analyzing rental apartment prices per square meter in Munich, Germany. The research investigates key quantitative and qualitative ...

ABSTRACT: This study explores a comprehensive statistical model for analyzing rental apartment prices per square meter in Munich, Germany. The research investigates key quantitative and qualitative ...

The analysis of multi-environment trials (MET) data in plant breeding and agricultural research is inherently challenging, with conventional ANOVA-based methods exhibiting limitations as the ...

This project implements a linear neural network to recognize digits from the MNIST dataset. MNIST (Modified National Institute of Standards and Technology) is a widely used dataset for training and ...

This lesson will be more of a code-along, where you'll walk through a multiple linear regression model using both statsmodels and scikit-learn. Recall the initial regression model presented. It ...

A variety of linear models are available to represent common active electronic devices such as transistors and vacuum tubes. Devices operating under large-signal conditions often require nonlinear ...

Jessica Bradley explores the key differences between a linear economy and a circular economy, and looks at the latest business innovations in circularity. In recent years, there’s been growing ...

Department of Chemical Engineering, University of Louisiana, Lafayette, Louisiana 70504, United States Energy Institute of Louisiana, University of Louisiana, Lafayette, Louisiana 70504, United States ...

From a young age, I collected role models. In school, as a teenager, I tried to channel Beyoncé. In the working world, after my first big promotion in retail operations, I paid close attention to our ...