Company Filing History:
6 out of 54,750 
3 out of 32,513 
1 out of 1 Years Active: 2004-2025
Title: Inventor Spotlight: Mikael Bourges-Sevenier
Introduction
Mikael Bourges-Sevenier, an accomplished inventor based in Santa Clara, CA, holds an impressive portfolio of nine patents. His work primarily focuses on innovative methods and systems that enhance programming and machine learning, showcasing his contributions to advancing technology.
Latest Patents
Among his latest inventions is a patent titled "Methods and Apparatus for Intentional Programming for Heterogeneous Systems.” This invention discloses methodologies for intentional programming within heterogeneous systems. It highlights a non-transitory computer-readable storage medium containing instructions that guide processor circuitry to identify, translate, and execute code blocks based on their algorithmic purposes effectively.
Another significant patent is "Methods and Apparatus to Optimize Execution of a Machine Learning Model.” This invention offers systems and articles that optimize the execution of machine learning models. The apparatus consists of a quantizer, packer, blocker, fuser, and packager that collectively enhance the efficiency of machine learning model deployment by structuring data in a way that maximizes execution capabilities.
Career Highlights
Mikael has made substantial contributions to prominent technology companies throughout his career. He has worked at Intel Corporation and Google Inc., where he applied his innovative thinking to develop cutting-edge solutions. His experience in such esteemed firms has allowed him to influence the tech landscape significantly.
Collaborations
Throughout his career, Mikael has collaborated with notable professionals in the field, including Adam Herr and Justin E. Gottschlich. These partnerships have fostered the exchange of innovative ideas and have enhanced the development of his patented technologies.
Conclusion
Mikael Bourges-Sevenier stands out as a visionary inventor whose patents reflect a deep understanding of programming and machine learning. His work not only contributes to technological advancements but also demonstrates the potential of collaborative innovation in shaping the future of technology.