Palo Alto, CA, United States of America

Patrick F Riley

This inventor holds 22 USPTO granted patents and 2 published patent applications and 1 EPO patent, primarily in Neural Network Applications. Top assignees: Google Inc., Other. Active years: 1991-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Patrick F Riley. Retrieved from https://idiyas.com/inventor/patrick-f-riley

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

USPTO Granted Patents = 22 

% Patents Active = 72.7

 

Average Co-Inventor Count = 2.6

ph-index = 8

Forward Citations = 130(Granted Patents)


Location History:

  • Willoughby, OH (US) (1991)
  • Palo Alto, CA (US) (2010 - 2014)
  • Sunnyvale, CA (US) (2013 - 2016)
  • Los Altos, CA (US) (2019 - 2024)

Company Filing History:


Years Active: 1991-2025

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Areas of Expertise:
Neural Network
Aptamer Data
Graph Data
Search Engines
Customized Summaries
Query Re-Issue
Search Results
Data Processing
Dynamic Specification
Annotations
Behavior Customization
Artificial Bait
22 patents (USPTO):Explore Patents

Title: Innovations by Inventor Patrick F. Riley in Neural Networks

Introduction

Patrick F. Riley is an accomplished inventor based in Palo Alto, California, with a remarkable portfolio of 20 patents to his name. His expertise lies in the development of advanced neural network technologies that significantly contribute to data processing in various fields.

Latest Patents

Among Riley's latest innovations are two groundbreaking patents:

1. **Neural Network for Processing Graph Data**

This invention involves methods, systems, and apparatus, including computer programs encoded on computer storage media, aimed at enhancing the processing of graph data. It addresses how to receive graph data representing an input graph and generate order-invariant features using a neural network comprising multiple subnetworks for data representation.

2. **Neural Network for Processing Aptamer Data**

This patent focuses on methods for processing data that define the sequence of an aptamer, which is crucial in understanding molecular interactions. The innovation employs a neural network to predict the binding strength of aptamers to specific target molecules, enhancing the capabilities in biochemistry and molecular biology.

Career Highlights

Patrick F. Riley is currently affiliated with Google Inc., where he applies his knowledge of neural networks to solve complex problems. His work at Google has positioned him as a key contributor to advancements in artificial intelligence and data processing techniques.

Collaborations

Throughout his career, Riley has collaborated with esteemed colleagues such as Ramanathan V. Guha and Corin Anderson. These collaborations have fostered an environment of innovation, leading to the development of cutting-edge technologies in the artificial intelligence sector.

Conclusion

With his extensive experience and contributions to the field of neural networks, Patrick F. Riley continues to push the boundaries of technology. His patents not only reflect his ingenuity but also have the potential to revolutionize how data is processed in various applications, making him a significant figure in the landscape of modern inventions.

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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