Aaron Boswell

Title: Aaron Boswell: Innovator in Anomalous Source Detection

Introduction

Aaron Boswell is a notable inventor based in Draper, UT (US). He has made significant contributions to the field of data evaluation through his innovative patent. His work primarily focuses on the evaluation of text data using advanced machine learning techniques.

Latest Patents

Aaron Boswell holds a patent titled "Anomalous source detection in high-dimensional sequence data." This patent describes devices and techniques for evaluating text data using large n-grams. In his invention, a first vector is generated for first text data, where each element indicates whether the first text data includes a respective n-gram from a corpus of text data. The invention also involves determining first label data that indicates a user's connection to a computer-implemented service more than a threshold number of times during a past time period. A machine learning model is then trained based on the first vector and label data to determine probabilities associated with n-grams.

Career Highlights

Aaron is currently employed at Amazon Technologies, Inc., where he continues to innovate and develop new technologies. His work has positioned him as a key player in the field of data analysis and machine learning.

Collaborations

Aaron has collaborated with talented individuals such as Brendan Cruz Colon and Jason L Thalken, contributing to a dynamic work environment that fosters innovation.

Conclusion

Aaron Boswell's contributions to the field of data evaluation through his patent demonstrate his expertise and commitment to advancing technology. His work at Amazon Technologies, Inc. continues to influence the landscape of machine learning and data analysis.