This inventor holds 1 USPTO granted patent. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Years Active: 2024
Title: Rajat Jaiswal - Innovator in Neural Network Training
Introduction
Rajat Jaiswal is a prominent inventor based in Mumbai, India. He has made significant contributions to the field of artificial intelligence, particularly in the area of neural networks. His innovative approach to entity detection has garnered attention in the tech community.
Latest Patents
Rajat Jaiswal holds a patent for a "Method and system for training neural network for entity detection." This patent describes a system and method for training a neural network to detect at least one entity in a document, allowing for the derivation of relevant inferences. The method involves obtaining at least one document, processing it through a detection module to identify a widget entity, and classifying the entity as active or inactive based on its detected state. The classified widget entity is then transformed into a machine-readable format. Additionally, the document is processed through an extraction module to detect a text entity near the classified widget entity, generating a training pair for the neural network. This innovative method enhances the efficiency of entity detection in various applications.
Career Highlights
Throughout his career, Rajat has focused on advancing the capabilities of neural networks. His work has been instrumental in improving the accuracy and efficiency of entity detection systems. With a strong foundation in technology and innovation, he continues to push the boundaries of what is possible in artificial intelligence.
Collaborations
Rajat has collaborated with notable professionals in the field, including Reghu Hariharan and Jeevan Prakash. These collaborations have enriched his work and contributed to the development of cutting-edge technologies.
Conclusion
Rajat Jaiswal is a visionary inventor whose work in neural network training has the potential to transform the way entities are detected in documents. His innovative patent reflects his commitment to advancing technology and improving artificial intelligence applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile