Cupertino, CA, United States of America

Walter A Talbott


Average Co-Inventor Count = 4.8

ph-index = 1


Company Filing History:


Years Active: 2021-2025

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2 patents (USPTO):Explore Patents

Title: Innovations by Walter A. Talbott

Introduction

Walter A. Talbott is an accomplished inventor based in Cupertino, CA. He has made significant contributions to the field of technology, particularly in the areas of facial recognition and transformer models. With a total of two patents to his name, Talbott's work reflects a commitment to advancing efficiency and effectiveness in computational processes.

Latest Patents

Talbott's latest patents include the "Attention-Free Transformer" and "Periocular Facial Recognition Switching." The Attention-Free Transformer patent discloses various implementations that incorporate a gating and pooling operation. This innovation allows the attention-free transformers to provide results comparable to or better than standard attention-based transformers, while also improving efficiency and reducing computational complexity in terms of space and time. The Periocular Facial Recognition Switching patent outlines a facial recognition authentication process that captures an image of a user using a device's camera. This process can operate either a full face or partial face recognition based on the amount of occlusion present in the captured image. The partial face recognition process is activated when certain features, such as the nose or mouth, are occluded.

Career Highlights

Walter A. Talbott is currently employed at Apple Inc., where he continues to innovate and contribute to cutting-edge technology. His work at Apple has positioned him as a key player in the development of advanced recognition systems and transformer models.

Collaborations

Talbott has collaborated with notable coworkers, including Joshua M. Susskind and Shuangfei Zhai. These collaborations have likely enriched his work and contributed to the success of his innovative projects.

Conclusion

Walter A. Talbott's contributions to technology through his patents demonstrate his expertise and commitment to innovation. His work in attention-free transformers and facial recognition systems is paving the way for more efficient and effective technological solutions.

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