Jayashree Subrahmonia

Title: Innovations of Jayashree Subrahmonia

Introduction

Jayashree Subrahmonia is a prominent inventor based in San Jose, California. She has made significant contributions to the field of technology, particularly in the areas of machine learning and conversational trust systems. With a total of five patents to her name, her work continues to influence advancements in these domains.

Latest Patents

One of her latest patents is titled "Systems and methods to improve trust in conversations." This patent describes a system that utilizes machine learning models to quantify and enhance trust in conversations. The system comprises a non-transitory memory and a processor that executes instructions to analyze vocal and text features from audio samples, ultimately generating a predicted trust score.

Another notable patent is "Few-shot learning for multi-task recommendation systems." This invention focuses on generating recommendations based on a set of tuples that include entities and products. It employs an embedding module and a context integration module to create latent vectors, which are then used in a recommender network trained through few-shot learning.

Career Highlights

Jayashree Subrahmonia is currently employed at Accenture Global Solutions Limited, where she applies her expertise in machine learning and technology innovation. Her work at Accenture has allowed her to collaborate on various projects that push the boundaries of what is possible in the tech industry.

Collaborations

Some of her notable coworkers include Lan Guan and Guanglei Xiong. Their collaborative efforts contribute to the innovative environment at Accenture, fostering advancements in technology and research.

Conclusion

Jayashree Subrahmonia's contributions to the field of technology through her patents and work at Accenture highlight her role as a leading inventor. Her innovative approaches to machine learning and trust systems continue to pave the way for future advancements in these critical areas.