Princeton, NJ, United States of America

Arijit Ray


Average Co-Inventor Count = 4.3

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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3 patents (USPTO):Explore Patents

Title: Arijit Ray: Innovator in Artificial Intelligence

Introduction

Arijit Ray is a prominent inventor based in Princeton, NJ (US). He has made significant contributions to the field of artificial intelligence, holding a total of 3 patents. His work focuses on enhancing AI behavior and user content generation through innovative methodologies.

Latest Patents

One of Arijit Ray's latest patents is titled "Error-based explanations for artificial intelligence behavior." This invention involves a computing system that utilizes an AI model to analyze images and output results. The system assigns error scores to image features and generates an error map to visually indicate these scores. This process allows for improved understanding of AI behavior.

Another notable patent is "User targeted content generation using multimodal embeddings." This invention outlines a method for determining user-content associations by creating an embedding space for multimodal content. It involves generating user vector representations and embedding them with modality vector representations to enhance user-preferred content delivery.

Career Highlights

Arijit Ray is currently employed at SRI International, where he continues to develop innovative solutions in artificial intelligence. His work has garnered attention for its potential applications in various industries, particularly in enhancing user experiences through AI.

Collaborations

Arijit collaborates with talented individuals such as Yi Yao and Giedrius T Burachas. Their combined expertise contributes to the advancement of AI technologies and the development of groundbreaking inventions.

Conclusion

Arijit Ray is a distinguished inventor whose work in artificial intelligence is paving the way for future innovations. His patents reflect a commitment to improving AI behavior and user engagement, making significant strides in the field.

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