Los Angeles, CA, United States of America

Alexander Daniel Friedman


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Innovations of Alexander Daniel Friedman

Introduction

Alexander Daniel Friedman is an accomplished inventor based in Los Angeles, CA. He has made significant contributions to the field of color conversion technology, particularly through the use of neural networks. His innovative approach has led to the development of a patented system that enhances the accuracy and efficiency of color management in print jobs.

Latest Patents

Friedman's most notable patent is titled "Color conversion using neural networks." This patent describes a system that includes a processor and a non-transitory computer-readable medium. The system is designed to perform various functions, including obtaining a source profile and a destination profile associated with a print job. It generates a color conversion object that maps input colors from a source color space to output colors in a destination color space. Additionally, the system trains a neural network using the color conversion object to optimize the conversion process. This innovative technology has the potential to improve color accuracy in printing applications.

Career Highlights

Friedman is currently employed at Kyocera Document Solutions Inc., where he continues to work on advancements in printing technology. His expertise in neural networks and color management has positioned him as a valuable asset to the company. With a focus on innovation, Friedman is dedicated to enhancing the capabilities of printing systems.

Collaborations

Friedman collaborates with talented professionals in his field, including his coworker Michael M Chang. Together, they work on projects that push the boundaries of technology and improve the user experience in printing solutions.

Conclusion

Alexander Daniel Friedman is a pioneering inventor whose work in color conversion using neural networks has made a significant impact in the printing industry. His contributions continue to shape the future of color management technology.

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