Bengaluru, India

Anil Kumar Vuppala

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Software Ag, Inc.. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Anil Kumar Vuppala. Retrieved from https://idiyas.com/inventor/anil-kumar-vuppala

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Anil Kumar Vuppala: Innovator in Neural Network Training Datasets

Introduction

Anil Kumar Vuppala is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of artificial intelligence, particularly in the area of neural networks. His innovative work focuses on improving the efficiency of training datasets used in machine learning models.

Latest Patents

Anil Kumar Vuppala holds a patent for "Systems and methods of generating datasets for training neural networks." This patent describes a system that utilizes base images to create a large number of images featuring both non-defective and defective characteristics. The generated images serve as training data for models that predict defects in real-world images during manufacturing processes. He has 1 patent to his name.

Career Highlights

Anil is currently employed at Software AG, Inc., where he continues to develop innovative solutions in software and technology. His work has been instrumental in advancing the capabilities of neural networks and their applications in various industries.

Collaborations

Anil has collaborated with talented professionals such as Rainer Burkhardt and Tridivesh Jena. These collaborations have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Anil Kumar Vuppala is a prominent figure in the field of artificial intelligence, with a focus on enhancing neural network training datasets. His contributions are paving the way for advancements in predictive modeling and manufacturing processes.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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