Scottsdale, AZ, United States of America

Anthony J Moliterno

This inventor holds 1 USPTO granted patent. Top assignee: Early Warning Services, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Anthony J Moliterno. Retrieved from https://idiyas.com/inventor/anthony-j-moliterno

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Anthony J Moliterno: Innovator in Machine Learning Target Factory

Introduction

Anthony J Moliterno is an accomplished inventor based in Scottsdale, AZ. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the efficiency of machine learning models by utilizing a unique method of operating a target factory.

Latest Patents

Moliterno holds a patent for a method of operating a machine learning target factory. This patent outlines a process that includes generating a plurality of machine learning targets and storing them on a network-attached database. The method also involves receiving requests for these targets and providing them to computing devices that house machine learning models. This innovation is crucial for improving the performance and accuracy of machine learning applications.

Career Highlights

Anthony J Moliterno is currently associated with Early Warning Services, LLC. His role in the company allows him to apply his expertise in machine learning and contribute to the development of advanced technologies. His patent reflects his commitment to pushing the boundaries of what is possible in the realm of artificial intelligence.

Collaborations

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Conclusion

Anthony J Moliterno is a notable inventor whose work in machine learning has the potential to transform the industry. His innovative approach to operating a target factory demonstrates his dedication to advancing technology.

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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