Matthew Morikawa

Title: Matthew Morikawa and Machine Learning for Print Preflight

Introduction

Matthew Morikawa is an inventor associated with Concord, California, and Kyocera Document Solutions Inc. His patent work focuses on applying machine learning to identify potential problems in print jobs before printing begins.

Latest Patents

The provided information lists one patent for Morikawa: Machine learning preflight printing system and methods. The invention describes a printing system with a preflight process that checks incoming print jobs for possible errors before printing. It uses a generative adversarial network, comprising generative and discriminatory neural networks. The generative network introduces errors into input data to train the discriminatory network to recognize print-job problems, while the discriminatory network backpropagates its output to train the generative network. Morikawa is credited with 1 patent in the supplied data.

Career Highlights

Morikawa is associated with Kyocera Document Solutions Inc., a company working in document and printing solutions. His listed invention applies neural-network training methods to preflight checks, aiming to help identify issues in print jobs before they reach the printing stage.

Collaborations

The supplied information identifies Javier A. Morales as Morikawa’s coworker. No further details about their specific collaboration or shared patent work were provided.

Conclusion

Matthew Morikawa’s listed patent combines machine learning and print-job preflight checks to address potential printing problems before production begins.