Seattle, WA, United States of America

Anant Patel

USPTO Granted Patents = 3 

 

Average Co-Inventor Count = 9.7

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2024

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3 patents (USPTO):Explore Patents

Title: Anant Patel: Innovator in Anomaly Detection Technologies

Introduction

Anant Patel is a prominent inventor based in Seattle, WA, known for his contributions to the field of machine learning and anomaly detection. With a total of three patents to his name, Patel has made significant strides in developing innovative techniques that enhance the capabilities of machine learning models.

Latest Patents

Patel's latest patents focus on feedback-based training for anomaly detection. One of his notable inventions, titled "Feedback-based training for anomaly detection," outlines techniques for selecting a scoring machine learning model based on a test metric. This model is applied to an unlabeled dataset to generate predictions and importance ranking scores for each dataset item. The process includes providing results through a graphical user interface, requesting feedback, and retraining the model based on verified results. Another patent, "Anomaly detection using feedback training," describes a method for training an anomaly detection machine learning model using feedback-based training. This method involves receiving requests for training, performing feedback-based training, and utilizing the retrained model for analysis.

Career Highlights

Anant Patel is currently employed at Amazon Technologies, Inc., where he continues to innovate and develop advanced machine learning solutions. His work has positioned him as a key player in the field of anomaly detection, contributing to the enhancement of data analysis techniques.

Collaborations

Patel collaborates with talented individuals such as Barath Balasubramanian and Niels Brouwers, who share his passion for advancing technology and improving machine learning methodologies.

Conclusion

Anant Patel's work in feedback-based training and anomaly detection showcases his commitment to innovation in machine learning. His patents reflect a deep understanding of the complexities involved in data analysis and the importance of feedback in training models. Through his contributions, Patel continues to influence the future of technology in significant ways.

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