Mountain View, CA, United States of America

Abigail Ward

USPTO Granted Patents = 1 

Average Co-Inventor Count = 14.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: **Abigail Ward: Pioneering Machine Learning in Industrial Control Systems**

Introduction

Abigail Ward, an innovative inventor located in Mountain View, California, has made significant strides in the field of machine learning and its application within industrial facilities. With an impressive portfolio that includes a patented technology, Ward is at the forefront of enhancing efficiency in data centers through her groundbreaking approaches.

Latest Patents

Ward holds one patent titled "Integrating machine learning into control systems for industrial facilities." This patent discloses methods, systems, apparatus, and computer program products designed for implementing machine learning within control systems. The technology involves receiving an industrial facility setting slate from a machine learning system and determining the optimal settings to adopt within the facility. Utilizing a neural network model, specifically a deep neural network trained through reinforcement learning, her invention aims to predict data settings that optimize the efficiency of data centers.

Career Highlights

As an inventor at Google Inc., Abigail Ward has positioned herself as a key figure in the integration of advanced technologies into traditional manufacturing and operational processes. Her dedication to enhancing industrial efficiency through innovative solutions reflects her commitment to advancing the field.

Collaborations

Throughout her career, Ward has collaborated with notable colleagues, including Jim Gao and Christopher Gamble. These partnerships have aimed at pushing the boundaries of technology and ensuring that machine learning capabilities are seamlessly integrated into operational systems.

Conclusion

Abigail Ward's contributions to the field of machine learning and industrial control systems are notable, as she continues to innovate and improve efficiency in data centers. Her dedication and expertise make her a significant figure in the advancement of modern industrial practices, paving the way for future innovations in the field.

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