San Jose, CA, United States of America

Abhinandan Kelgere Ramesh

USPTO Granted Patents = 4 

Average Co-Inventor Count = 4.5

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2021-2023

where 'Filed Patents' based on already Granted Patents

4 patents (USPTO):

Title: Innovations By Abhinandan Kelgere Ramesh in Machine Learning

Introduction: Abhinandan Kelgere Ramesh, an accomplished inventor based in San Jose, CA, has made significant contributions to the field of machine learning. With a total of four patents to his name, his work focuses on enhancing computer-implemented models through innovative methodologies. Currently, he is affiliated with the International Business Machines Corporation, commonly known as IBM.

Latest Patents: Abhinandan's latest patents showcase his expertise in developing advanced mechanisms for training computer models. One notable patent is on a computer model machine learning framework that relies on correlations of training data with performance trends. This invention includes mechanisms that perform multiple training instances using different datasets to generate various instances of a trained model. Furthermore, it analyzes differences and correlations between the instances, allowing for refined model performance.

Another significant patent by Abhinandan involves cognitive model tuning leveraging rich deep learning knowledge. This invention details a mechanism for conducting model training operations, where training data sets and hyperparameter information are recorded in a database. It also performs anomaly checks and generates recommendations for subsequent training operations based on previous results, ultimately enhancing model accuracy and effectiveness.

Career Highlights: Abhinandan has built a prominent career at IBM, where he continues to innovate in the machine learning domain. His work is characterized by his focus on integrating deep learning techniques with cognitive services, setting new benchmarks in model training and performance.

Collaborations: Throughout his career, Abhinandan has collaborated with talented individuals such as Ramani Ranjan Routray and Claire Abu-Assal. These partnerships have furthered his research and development efforts, highlighting the importance of teamwork in achieving groundbreaking innovations.

Conclusion: Abhinandan Kelgere Ramesh's contributions to machine learning are marked by his inventive spirit and commitment to advancing technology. With his four patents to date, he continues to pave the way for new methodologies that enhance the capabilities of computer-implemented models in the ever-evolving field of artificial intelligence.

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