Company Filing History:
Years Active: 2025
Title: Hunter Buckhorn - Innovator in Machine Learning for Construction Drawings
Introduction
Hunter Buckhorn is a notable inventor based in Santa Barbara, California. He has made significant contributions to the field of machine learning, particularly in the context of construction project documentation. His innovative approach focuses on enhancing the identification of drawing attributes through advanced computational techniques.
Latest Patents
Hunter Buckhorn holds a patent for a groundbreaking invention titled "Machine-learning-based identification of drawing attributes." This patent describes a computing system designed to access a drawing associated with a construction project. The system identifies candidate textual elements that may represent the title of the drawing. For each candidate, it determines a dataset of values for data variables that could predict whether the candidate is indeed the title. The machine-learning model evaluates these datasets and outputs scores indicating the likelihood of each candidate being the title. Ultimately, the system selects one candidate as the title based on these scores.
Career Highlights
Hunter is currently employed at Pro-Core Technologies Limited, where he applies his expertise in machine learning to develop innovative solutions for the construction industry. His work has positioned him as a key player in the intersection of technology and construction, driving advancements that improve efficiency and accuracy in project documentation.
Collaborations
Throughout his career, Hunter has collaborated with talented individuals such as Patavee Meemeng and Gagik Hacobian. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.
Conclusion
Hunter Buckhorn's contributions to machine learning in construction are paving the way for more efficient project management and documentation processes. His innovative patent showcases the potential of technology to transform traditional practices in the industry.