Mountain View, CA, United States of America

Hrishikesh Balkrishna Aradhye

USPTO Granted Patents = 43 

 

Average Co-Inventor Count = 2.9

ph-index = 14

Forward Citations = 993(Granted Patents)


Location History:

  • Redwood City, CA (US) (2007 - 2010)
  • Mountain View, CA (US) (2010 - 2020)
  • Santa Clara, CA (US) (2012 - 2022)

Company Filing History:


Years Active: 2007-2025

where 'Filed Patents' based on already Granted Patents

43 patents (USPTO):

Title: Hrishikesh Balkrishna Aradhye: A Pioneer in On-Device Machine Learning

Introduction

Hrishikesh Balkrishna Aradhye, based in Mountain View, CA, has made significant contributions to the field of machine learning, holding an impressive portfolio of 43 patents. His work is characterized by innovative approaches to on-device processing, which are crucial in the rapidly evolving technology landscape.

Latest Patents

Among his latest inventions, Hrishikesh has developed a cutting-edge on-device machine learning platform. This platform provides systems and methods that enhance on-device prediction, training, example collection, and other machine learning functionalities. A key feature of the platform is a context provider that securely injects contextual information into training examples and input data, facilitating accurate predictions and inferences. This innovative solution enables centralized training example collection, model training, and application of machine-learned models as a service to various clients.

Career Highlights

Hrishikesh has held pivotal positions in industry-leading organizations, notably Google Inc. and SRI International. His work in these companies has furthered the capabilities and applications of machine learning technologies.

Collaborations

Throughout his career, Hrishikesh has collaborated with notable professionals in the field, including Huazhong Ning and Wei Hua. These partnerships have likely contributed to the development and refinement of his groundbreaking inventions.

Conclusion

Hrishikesh Balkrishna Aradhye's contributions to on-device machine learning represent a significant advancement in the field. His extensive patent portfolio showcases his commitment to innovation and excellence in technology, making him a prominent figure among inventors in the tech industry.

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