Ayako Amma

Title: Ayako Amma: Innovator in Machine Learning

Introduction

Ayako Amma is a prominent inventor based in Tokyo-to, Japan. She has made significant contributions to the field of machine learning, particularly in developing methods for classifying input images. Her innovative approach has garnered attention in both academic and industrial circles.

Latest Patents

Ayako Amma holds 1 patent for her invention titled "Learning method and processing apparatus regarding machine learning model classifying input image." This patent describes a method by one or more computers for learning a machine learning model that classifies an input image into known classes and an unknown class. The method involves acquiring a set of features from a plurality of samples of training data, calculating a loss function based on these features, and learning the machine learning model to minimize the loss function. The loss function is designed to include both a first and a second loss function, each configured to respond to specific distance metrics.

Career Highlights

Throughout her career, Ayako Amma has worked with notable organizations, including Toyota Motor Corporation and The University of Tokyo. Her experience in these institutions has allowed her to apply her research in practical settings, bridging the gap between theory and application.

Collaborations

Ayako has collaborated with esteemed colleagues such as Kai Katsumata and Hideki Nakayama. These partnerships have further enriched her work and contributed to advancements in machine learning technologies.

Conclusion

Ayako Amma's contributions to machine learning exemplify her innovative spirit and dedication to advancing technology. Her work continues to influence the field and inspire future generations of inventors.