Company Filing History:
Years Active: 2020-2025
Title: Innovations of Suvedhahari Velusamy
Introduction
Suvedhahari Velusamy is a notable inventor based in Coimbatore, India. He has made significant contributions to the field of technology, particularly in the areas of machine learning and natural language processing. With a total of three patents to his name, Velusamy's work showcases his innovative approach to solving complex problems.
Latest Patents
One of Velusamy's latest patents is titled "Class prediction based on class accuracy of multiple models." This invention involves a method, computer program product, and computer system designed to predict the class of a given input to multiple models. The process utilizes class parameters of the models to maximize class accuracy. It includes a model ensemble process, a first threshold process, and a second threshold process to ensure accurate predictions.
Another significant patent is "Dynamic contraction and expansion of heuristic beam width based on predicted probabilities." This invention focuses on translating a source sentence into a target sentence using a beam search through an iterative process. Each iteration generates probability vectors and determines the best beam width using a fully connected neural network. This innovative approach enhances the efficiency of translation tasks.
Career Highlights
Suvedhahari Velusamy is currently employed at International Business Machines Corporation (IBM), where he continues to develop cutting-edge technologies. His work at IBM allows him to collaborate with other talented professionals in the field, further advancing his research and innovations.
Collaborations
Some of Velusamy's coworkers include Sathya Santhar and Kothagorla Lakshmana Rao. Their collaboration fosters a creative environment that encourages the exchange of ideas and enhances the development of innovative solutions.
Conclusion
Suvedhahari Velusamy's contributions to technology through his patents reflect his dedication to innovation and problem-solving. His work at IBM and collaborations with fellow professionals position him as a key figure in the advancement of machine learning and natural language processing.