This inventor holds 1 USPTO granted patent. 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: Ritu Singh: Innovator in Machine Learning
Introduction
Ritu Singh is a prominent inventor based in San Jose, California. She has made significant contributions to the field of machine learning, particularly in the area of unidirectional associations among terms and documents. Her innovative approach has the potential to enhance data management and analysis.
Latest Patents
Ritu Singh holds a patent for her invention titled "Discover unidirectional associations among terms or documents." This patent describes a method that trains a machine learning model using reference entries from a dataset. During the training process, the model learns a first set of unidirectional associations between these reference entries. Subsequently, the model can input a user dataset and generate a second set of unidirectional associations. This method builds a hierarchical relationship of the user dataset based on the second set of associations, allowing for effective management of the dataset.
Career Highlights
Ritu Singh is currently employed at International Business Machines Corporation, commonly known as IBM. Her work at IBM focuses on advancing machine learning technologies and their applications in various industries. She has demonstrated a strong commitment to innovation and research throughout her career.
Collaborations
Ritu collaborates with talented individuals such as Rakesh Ranjan and Simao Liu. These collaborations enhance her research and contribute to the development of cutting-edge technologies in the field.
Conclusion
Ritu Singh is a remarkable inventor whose work in machine learning is paving the way for new advancements in data management. Her patent and contributions to IBM highlight her dedication to innovation and the impact of her research on the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
