Company Filing History:
Years Active: 2021-2022
Title: Rachel Brill: Innovator in Machine Learning and Data Slicing
Introduction
Rachel Brill is a prominent inventor based in Haifa, Israel. She has made significant contributions to the field of machine learning and data processing. With a total of 5 patents to her name, Rachel is recognized for her innovative approaches to enhancing machine learning performance.
Latest Patents
Among her latest patents is a groundbreaking method titled "Automated data slicing based on an artificial neural network." This invention involves a method, apparatus, and computer program product designed for automated data slicing using an Artificial Neural Network (ANN). The process includes obtaining an ANN configured to predict data instances, determining an attribute vector from the ANN's nodes, and computing performance measurements for various data slices. Another notable patent is "Data slicing for machine learning performance testing and improvement." This method focuses on identifying and improving under-performance in machine learning models by slicing data based on a functional model that represents system requirements.
Career Highlights
Rachel Brill is currently employed at International Business Machines Corporation, commonly known as IBM. Her work at IBM has allowed her to explore and develop innovative solutions in the realm of machine learning and data analysis.
Collaborations
Rachel has collaborated with notable colleagues, including Andrew C Hicks and Dale E Blue, contributing to a dynamic and innovative work environment.
Conclusion
Rachel Brill's contributions to machine learning and data slicing exemplify her role as a leading inventor in her field. Her innovative patents and work at IBM continue to influence advancements in technology and data processing.