Oklahoma City, OK, United States of America

Thomas Wayne Hancock


Average Co-Inventor Count = 10.6

ph-index = 1


Company Filing History:


Years Active: 2025

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: **Thomas Wayne Hancock: Innovator of Trust in Digital Interactions**

Introduction

Thomas Wayne Hancock is an accomplished inventor based in Oklahoma City, OK. With two patents to his name, he has made significant contributions to the fields of machine learning and digital interactions. His innovative approach focuses on enhancing the trustworthiness of audio and visual representations in digital environments.

Latest Patents

Hancock's latest patents emphasize the application of technology to improve trust in communications. The first patent, "Systems and methods to automate trust delivery," outlines a system that utilizes machine-learning networks to create trustworthy audio and face mesh corresponding to input text. This system generates a digital avatar capable of producing a synthesized audio representation and a corresponding face mesh, thereby enhancing user trust in digital interactions.

His second notable patent is titled "Systems and methods to improve trust in conversations with deep learning models." This innovation centers on utilizing deep learning to quantify and enhance trust in conversations. It includes a deep-learning network that processes audio samples to generate and refine trust scores, effectively allowing users to assess the reliability of digital interactions.

Career Highlights

Thomas Wayne Hancock is currently affiliated with Accenture Global Solutions Limited, where he leverages his expertise to foster advancements in technology. His work involves exploring the intersection of trust and technology to create more intuitive digital experiences. Hancock's focus on machine learning and deep learning has rendered him a key figure in developing systems that prioritize user trust.

Collaborations

In his professional journey, Hancock has collaborated with talented colleagues, including Neeraj D Vadhan and Anwitha Paruchuri. Together, they contribute to innovative projects that address the challenges of trust in the digital domain. These collaborations enhance the efficacy and reach of their inventions, paving the way for greater advancements in the field.

Conclusion

Thomas Wayne Hancock's contributions to the realms of machine learning and digital trust have set new precedents in enhancing user experiences. Through his inventions, he continues to play a pivotal role in shaping the future of digital interactions, ensuring they are not only efficient but also trustworthy.

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