Tacoma, WA, United States of America

Aneesh Shankar Hariharan

This inventor holds 1 USPTO granted patent. Top assignee: Revive Al, Inc.. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Aneesh Shankar Hariharan. Retrieved from https://idiyas.com/inventor/aneesh-shankar-hariharan

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Innovations by Aneesh Shankar Hariharan

Introduction

Aneesh Shankar Hariharan is an accomplished inventor based in Tacoma, WA (US). He has made significant contributions to the field of home improvement visualization through his innovative patent. His work focuses on utilizing neural networks to enhance the visualization process for home improvement projects.

Latest Patents

Aneesh holds a patent titled "Systems and methods for home improvement visualization." This patent describes a method of training a neural network specifically for home improvement visualization. The method includes receiving a set of annotated images of houses to train the neural network, augmenting these images to generate additional annotated images, processing both sets of images to train the neural network, refining the annotations by detecting edge elements in the images, and ultimately outputting a trained neural network. He has 1 patent to his name.

Career Highlights

Aneesh is currently employed at Revive AI, Inc., where he applies his expertise in artificial intelligence and machine learning to develop innovative solutions for home improvement. His work is instrumental in advancing the capabilities of visualization technologies in the industry.

Collaborations

Some of his notable coworkers include Devdatta Bhikaji Waghdhare and Petteri Mikkola, who contribute to the collaborative environment at Revive AI, Inc.

Conclusion

Aneesh Shankar Hariharan is a pioneering inventor whose work in home improvement visualization is shaping the future of the industry. His innovative approach to training neural networks demonstrates the potential of technology in enhancing everyday experiences.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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