Palo Alto, CA, United States of America

Anatoly D Adamov


Average Co-Inventor Count = 5.7

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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5 patents (USPTO):

Title: Inventor Profile: Anatoly D Adamov

Introduction: Anatoly D Adamov is a distinguished inventor based in Palo Alto, CA, renowned for his contributions to machine learning technologies. With a total of four patents to his name, Adamov's work emphasizes the importance of dynamic adaptability in machine learning systems.

Latest Patents: One of Adamov's most recent patents is titled "Automated input-data monitoring to dynamically adapt machine-learning techniques." This innovation presents systems and methods for triggering updates to a machine-learning model when it detects significant differences between a newly collected input data set and the training input data set originally used to train the model. The patent describes methodologies for assessing these distributions and determining when they are sufficiently different. In such cases, the improvement of the machine-learning model could involve morphing the weights utilized by the model or retraining the model entirely.

Career Highlights: Throughout his career, Anatoly has made significant strides in the technology sector, particularly during his tenure at Apple Inc. His contributions have been instrumental in advancing the capabilities of machine learning systems, enabling more responsive and intelligent software applications.

Collaborations: Adamov has collaborated with notable professionals in the industry, including Moises Goldszmidt and Juan Carlos Garcia. Together, they have worked on cutting-edge projects that highlight the evolving landscape of technology and innovation.

Conclusion: Anatoly D Adamov's work embodies the spirit of innovation in the field of machine learning. His numerous patents and collaborations mark him as a significant figure in the technological landscape, particularly in adapting machine learning techniques to better respond to new data. With a strong focus on enhancing systems for dynamic adaptability, Adamov continues to push the boundaries of what is possible in this ever-evolving field.

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