Pleasantville, NY, United States of America

Anupama Murthi


Average Co-Inventor Count = 5.6

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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3 patents (USPTO):

Title: Anupama Murthi: Innovator in Machine Learning

Introduction

Anupama Murthi is a notable inventor based in Pleasantville, NY (US). She has made significant contributions to the field of machine learning, holding a total of three patents. Her work focuses on enhancing the efficiency and effectiveness of large-scale machine learning experiments.

Latest Patents

Anupama's latest patents include a method for performing large-scale machine learning experiments. This innovative approach involves expanding input datasets by systematically generating several data set drift splits. The experimental jobs corresponding to these splits are executed to generate and process experimental results, which are then consolidated and clustered according to the generated splits. Another significant patent is a system for operationalizing high-level machine learning training enhancements from low-level primitives. This method inspects and transforms machine learning models by creating a partially specified task graph and performing dynamic expansions based on selected strategies.

Career Highlights

Anupama Murthi is currently employed at International Business Machines Corporation, commonly known as IBM. Her work at IBM has allowed her to push the boundaries of machine learning technology and contribute to advancements in the field.

Collaborations

Anupama has collaborated with several talented individuals, including her coworkers Evelyn Duesterwald and Punleuk Oum. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Anupama Murthi is a pioneering inventor whose work in machine learning continues to shape the industry. Her patents reflect her commitment to advancing technology and improving the processes involved in machine learning experiments.

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