Company Filing History:
Years Active: 2020-2022
Title: Innovations by Ajaykrishnan Jayagopal
Introduction
Ajaykrishnan Jayagopal is an accomplished inventor based in Mumbai, India. He has made significant contributions to the field of machine learning and user interface design. With a total of 2 patents, his work focuses on enhancing the saliency prediction of content elements.
Latest Patents
Ajaykrishnan's latest patents include "Saliency prediction for informational documents" and "Saliency prediction for a mobile user interface." The first patent describes a content saliency network that utilizes a machine-learned neural network to predict the saliency of elements within a content item. This method involves determining a set of elements in draft content, computing pixel-level vectors, and generating an element-level saliency map based on saliency scores. The second patent similarly employs a content saliency network to predict saliency in a user interface, focusing on computing context vectors and generating saliency maps for UI elements.
Career Highlights
Ajaykrishnan currently works at Adobe, Inc., where he continues to innovate in the realm of content saliency and user experience. His expertise in machine learning has positioned him as a valuable asset in the tech industry.
Collaborations
Some of his notable coworkers include Prakhar Gupta and Sourav Pal, who contribute to the collaborative environment at Adobe.
Conclusion
Ajaykrishnan Jayagopal's work in saliency prediction showcases his innovative spirit and dedication to improving user interactions with technology. His contributions are paving the way for advancements in machine learning applications.