This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Hewlett-Packard Development Company, L.p.. Active years: 2024-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024-2026
Title: Deangeli Gomes Neves: Innovator in Machine Learning and Image Rendering
Introduction
Deangeli Gomes Neves is a notable inventor based in Sao Paulo, Brazil. He has made significant contributions to the field of machine learning, particularly in the area of training models using rendered images. His innovative approach has the potential to enhance various applications in technology and artificial intelligence.
Latest Patents
Deangeli holds a patent for a method titled "Training using rendered images." This patent describes various methods for training machine learning models by utilizing rendered two-dimensional images of three-dimensional object models. The process involves randomly positioning 3D object models in a virtual space and rendering corresponding 2D images along with annotation images. This technique aims to improve the efficiency and accuracy of machine learning training processes.
Career Highlights
Deangeli Gomes Neves is currently employed at Hewlett-Packard Development Company, L.P. His work at this esteemed organization allows him to apply his innovative ideas and contribute to advancements in technology. His expertise in image rendering and machine learning has positioned him as a valuable asset in his field.
Collaborations
Some of Deangeli's coworkers include Qian Lin and Augusto Cavalcante Valente. Their collaboration fosters a creative environment that encourages innovation and the development of cutting-edge technologies.
Conclusion
Deangeli Gomes Neves is a pioneering inventor whose work in machine learning and image rendering is shaping the future of technology. His contributions are significant and reflect his commitment to advancing the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
