Celestine Duenner

Title: Celestine Duenner - Innovator in Machine Learning

Introduction

Celestine Duenner is a prominent inventor based in Wettswil, Switzerland. She has made significant contributions to the field of machine learning, holding a total of seven patents. Her work focuses on enhancing the efficiency and effectiveness of machine learning models.

Latest Patents

Among her latest patents is the innovative method for parallel training of machine learning models. This patent describes a system where computing tasks can be assigned to multiple workers, allowing for dynamic partitioning of training data. This approach ensures that different subsets of training data are utilized over time, optimizing the training process. Another notable patent involves methods for implementing training of machine learning models in processing systems. This method includes a core module for generic optimization and defines derivative modules for computing first and second derivatives, enhancing the training operation.

Career Highlights

Celestine Duenner is currently employed at International Business Machines Corporation (IBM), where she continues to push the boundaries of technology. Her work has been instrumental in advancing machine learning applications in various processing systems.

Collaborations

Throughout her career, Celestine has collaborated with esteemed colleagues, including Thomas P Parnell and Charalampos Pozidis. These collaborations have further enriched her research and development efforts in the field.

Conclusion

Celestine Duenner's innovative spirit and dedication to machine