Dacula, GA, United States of America

Fraser Ian Lockwood

This inventor holds 1 USPTO granted patent. Top assignee: Optum, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Fraser Ian Lockwood. Retrieved from https://idiyas.com/inventor/fraser-ian-lockwood

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: Fraser Ian Lockwood and Multimodal Machine Learning Innovation.

Introduction

Fraser Ian Lockwood is an inventor associated with Dacula, Georgia, and Optum, Inc. His patent work concerns machine learning methods that combine textual and image-based information to interpret entities and support prediction-based actions.

Latest Patents

Lockwood is named on 1 patent: “Deep Model Integration Techniques for Machine Learning Entity Interpretation.” The patent describes a multimodal machine learning process that generates text-based intermediate representations from textual input, then uses those representations and input images to create image-based representations. The system combines these results into an entity summary and an image narrative summary, which can inform a prediction-based action.

Career Highlights

Lockwood’s listed patent reflects work on integrating multiple data types within machine learning models. The disclosed approach organizes text and image information into successive representations, with the aim of producing a more holistic interpretation of an entity.

Collaborations

Lockwood’s listed coworker is Ryan Michael Swan. The patent information provided identifies Optum, Inc. as Lockwood’s company.

Conclusion

Fraser Ian Lockwood’s patent highlights an approach to multimodal machine learning that combines textual and visual inputs to generate entity summaries and support prediction-based actions.

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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