Toronto, Canada

Gordon Gibson

USPTO Granted Patents = 3 


Average Co-Inventor Count = 2.3

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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3 patents (USPTO):Explore Patents

Title: Innovations by Gordon Gibson

Introduction

Gordon Gibson is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of technology, particularly in the area of multilingual intent prediction and intent classification systems. With a total of 3 patents to his name, Gibson continues to push the boundaries of innovation.

Latest Patents

Gordon Gibson's latest patents include "Systems and methods for multilingual intent prediction." This method involves receiving a user query, generating first embedding data for the query via a language-agnostic machine learning embedding model, and predicting the first intent of the user query based on the generated data. Another significant patent is the "Method and system for generating an intent classifier." This patent outlines methods and systems for training an intent classifier using a question-intent tuple dataset, which comprises data samples that include questions, intents, and tasks. The process involves fine-tuning a pre-trained language model to generate embeddings for training input data, ultimately leading to the development of an intent classification model.

Career Highlights

Gordon Gibson is currently employed at Ada Support Inc., where he applies his expertise in machine learning and natural language processing. His work focuses on enhancing user interactions through advanced intent prediction systems. His innovative approaches have positioned him as a key player in the tech industry.

Collaborations

Gordon collaborates with talented individuals such as Salman Mohammed and Jerome Solis. Together, they work on various projects that aim to improve the efficiency and accuracy of intent prediction technologies.

Conclusion

Gordon Gibson's contributions to the field of technology through his patents and collaborative efforts highlight his role as an influential inventor. His work continues to shape the future of multilingual intent prediction and classification systems.

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