Hopkinton, MA, United States of America

Ayan Acharya

This inventor holds 1 USPTO granted patent. Top assignee: Intuit, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ayan Acharya. Retrieved from https://idiyas.com/inventor/ayan-acharya-qwm4vebe

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ayan Acharya: Innovator in Graph Neural Networks

Introduction

Ayan Acharya is a notable inventor based in Hopkinton, MA (US). He has made significant contributions to the field of categorization using advanced techniques involving graph neural networks and language models. His innovative approach has the potential to enhance the efficiency of classification systems across various applications.

Latest Patents

Ayan Acharya holds 1 patent for his work titled "Categorization with Graph Neural Network and Language Model." This patent outlines a method for categorization by a device, which includes receiving input information regarding multiple classification targets and categories. The process involves generating embeddings for the input information, determining similarity scores, and utilizing a graph neural network to classify the targets accordingly.

Career Highlights

Ayan Acharya is currently employed at Intuit, Inc., where he applies his expertise in machine learning and artificial intelligence. His work at Intuit focuses on developing innovative solutions that improve user experiences and streamline processes.

Collaborations

Ayan collaborates with talented individuals in his field, including his coworker Kaiwen Dong. Their combined efforts contribute to the advancement of technology and innovation within their organization.

Conclusion

Ayan Acharya's contributions to the field of categorization through graph neural networks exemplify the impact of innovative thinking in technology. His work not only enhances classification methods but also sets a foundation for future advancements in the industry.

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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