This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Optum Services (Ireland) Limited. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: David Belton: Innovator in Machine Learning Frameworks
Introduction
David Belton is a notable inventor based in Dublin, Ireland. He has made significant contributions to the field of machine learning, particularly through his innovative patent. His work focuses on enhancing prediction techniques using advanced graph-based methodologies.
Latest Patents
David holds a patent for a "Hybrid graph-based prediction machine learning framework." This invention discloses various techniques for determining a graph-based prediction that relies on a cross-entity relationship graph data object. The hybrid framework is designed to generate predictions based on a comprehensive representation of the graph data, utilizing output data from both a graph convolutional neural machine learning model and an image-based graph convolutional neural network model. This patent showcases his expertise in integrating complex data structures for improved predictive analytics.
Career Highlights
David is currently employed at Optum Services (Ireland) Limited, where he applies his knowledge and skills in machine learning. His role involves developing innovative solutions that leverage data to enhance decision-making processes. With a focus on cutting-edge technology, he continues to push the boundaries of what is possible in the realm of artificial intelligence.
Collaborations
David collaborates with talented professionals in his field, including Conor Breen and Peter Cogan. Their combined expertise fosters an environment of innovation and creativity, leading to the development of groundbreaking technologies.
Conclusion
David Belton is a pioneering inventor whose work in machine learning frameworks is shaping the future of predictive analytics. His contributions are invaluable to the industry, and his innovative spirit continues to inspire others in the field.