Simsbury, CT, United States of America

Stephanie C Swain


Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2024

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Stephanie C. Swain: Innovator in Machine Learning Systems

Introduction: Stephanie C. Swain is a prominent inventor based in Simsbury, CT (US). She has made significant contributions to the field of machine learning, particularly in the area of automated database element processing and prediction output generation. Her innovative work has led to the development of a patented technology that enhances the efficiency of data processing systems.

Latest Patents: Stephanie holds a patent for "Machine learning systems for automated database element processing and prediction output generation." This invention involves a computer system that includes memory hardware configured to store a machine learning model, historical feature vector inputs, and computer-executable instructions. The processor hardware is designed to execute these instructions, which include training a first machine learning model to generate a title score output and a second model to generate a background score output. The system processes title and background feature vector inputs to determine the likelihood of an entity being a decision entity, ultimately automating the distribution of structured campaign data based on the generated scores. She has 1 patent to her name.

Career Highlights: Stephanie is currently employed at Cigna Intellectual Property, Inc., where she continues to innovate and develop advanced machine learning solutions. Her work has been instrumental in improving data processing methodologies within the organization.

Collaborations: Throughout her career, Stephanie has collaborated with notable colleagues, including David Fogarty and Robert E. Chudzik. These partnerships have fostered a creative environment that encourages the exchange of ideas and the advancement of technology.

Conclusion: Stephanie C. Swain is a trailblazer in the field of machine learning, with a focus on enhancing automated database processing systems. Her contributions are paving the way for future innovations in this rapidly evolving field.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…