This inventor holds 3 USPTO granted patents. Top assignee: USA as Represented by Secretary of the Navy. Active years: 2021-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021-2026
Title: Innovations of Steven Dennis in Machine Learning
Introduction
Steven Dennis is an innovative inventor based in Covington, LA (US). He has made significant contributions to the field of machine learning, particularly through his unique approach to human-assisted machine learning. His work aims to simplify the application of advanced machine learning and artificial intelligence (AI) for users without requiring a deep understanding of complex algorithms.
Latest Patents
Steven Dennis holds a patent for "Human-assisted machine learning through geometric manipulation and refinement." This patent outlines systems and methods for feature detection that allow users to apply advanced machine learning techniques intuitively. The embodiments of this patent provide easy access to a suite of machine learning algorithms, an intuitive interface for training AI to recognize image features, and real-time visualizations of training effectiveness. He has 1 patent to his name.
Career Highlights
Steven works for the United States as represented by the Secretary of the Navy. His role involves leveraging his expertise in machine learning to enhance various applications within the organization. His innovative approach has positioned him as a valuable asset in the field of AI and machine learning.
Collaborations
Steven has collaborated with notable coworkers, including Christopher J Michael and Samuel Irving. Their combined efforts contribute to the advancement of machine learning technologies and applications.
Conclusion
In summary, Steven Dennis is a pioneering inventor whose work in human-assisted machine learning is making advanced technologies more accessible. His contributions are shaping the future of AI and machine learning, demonstrating the potential for innovation in this rapidly evolving field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile