This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: International Business Machines Corporation. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Ramesh G Srinivasan: Innovator in Language Processing Technologies
Introduction
Ramesh G Srinivasan is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of language processing, particularly in addressing ambiguities in language content. His innovative approach has led to the development of methods and systems that enhance the understanding of ambiguous sentences.
Latest Patents
Ramesh holds a patent titled "Methods and systems for improving language processing for ambiguous instances." This patent outlines embodiments for analyzing language content by identifying ambiguous sentences. The process involves selecting a first word and a second word within the ambiguous sentence, determining at least one synonym outlier for each word, and generating a phrase that utilizes these synonyms. This innovative method aims to establish context for the ambiguous sentence based on the generated phrase. Ramesh has 1 patent to his name.
Career Highlights
Ramesh is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM focuses on advancing technologies that improve language processing capabilities. His expertise in this area has positioned him as a valuable asset to the company.
Collaborations
Ramesh has collaborated with several talented individuals in his field, including Samir Katti and Mohan Nagraj Dani. These collaborations have fostered an environment of innovation and creativity, contributing to the development of cutting-edge technologies.
Conclusion
Ramesh G Srinivasan is a distinguished inventor whose work in language processing has the potential to transform how we understand and interpret ambiguous language. His contributions to the field are noteworthy, and his ongoing work at IBM continues to push the boundaries of innovation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
