Company Filing History:
Years Active: 2021-2023
Title: The Innovations of Kilian Müller: A Pioneer in Optical Data Machine Learning
Introduction
Kilian Müller is an inventive force based in Paris, France, known for his contributions to the field of machine learning through optical data. With a total of three patents to his name, he has been instrumental in developing advanced systems that harness the power of optical technology in innovative ways.
Latest Patents
Müller’s latest patents showcase his commitment to enhancing machine learning methodologies. One notable patent describes a method and system for machine learning using optical data. This system incorporates an optical source and an adjustable spatial light modulator, allowing it to capture various optical signals. These signals are transmitted through a medium and processed using a controller that trains an electronic model based on synthetic gradients derived from the optical signals.
Another significant patent focuses on the stabilization of interferometric systems, which includes a light source for emitting coherent light and a spatial light modulator to produce a spatially modulated beam. This stabilized system can adapt to variations in environmental parameters, ensuring accurate detection of interference patterns.
Career Highlights
Throughout his career, Müller has contributed his expertise to several companies. Notably, he has worked with Light-On, LLC and Lighton Sas, where his innovations have pushed the boundaries of optical technology and machine learning.
Collaborations
Müller has also collaborated with notable individuals in the field, including Gustave Pariente and Igor Carron. These partnerships have enabled him to expand his research and tackle complex problems in optical systems and data processing.
Conclusion
Kilian Müller continues to be a prominent figure in the realm of innovation, particularly in the application of optical data for machine learning. His patents not only reflect his ingenuity but also pave the way for future advancements in technology, making significant contributions to both academia and industry.