Mountain View, CA, United States of America

Michael R Siracusa

USPTO Granted Patents = 21 

 

Average Co-Inventor Count = 6.6

ph-index = 5

Forward Citations = 268(Granted Patents)


Company Filing History:


Years Active: 2018-2024

where 'Filed Patents' based on already Granted Patents

21 patents (USPTO):

Title: Michael R. Siracusa: Innovator in Machine Learning and Neural Networks

Introduction: Michael R. Siracusa is a prominent inventor based in Mountain View, California, with a notable portfolio consisting of 21 patents. His work predominantly focuses on advancements in machine learning and neural network technologies, contributing significantly to the field through innovative solutions and technological advancements.

Latest Patents: Among his latest patents is an invention titled "Annotation Override Determination for a Neural Network." This technology introduces a dynamic task allocation system for neural network models, determining whether certain operations are best performed on a CPU or GPU based on the hardware capabilities of a target platform. It also intelligently assesses the architecture of neural networks, especially those with multiple layers, allowing for optimal performance.

Another patent, "Techniques for Machine Language Model Creation," offers methods and devices for creating machine learning models. The invention includes a variety of templates for application developers to utilize, facilitating the classification of diverse data types such as images, text, and sound. A user-friendly graphical interface enhances the selection process for training data and validation data, while also providing real-time performance metrics for machine learning models executed on mobile devices.

Career Highlights: Michael currently works at Apple Inc., where his expertise in machine learning and neural networks is leveraged for cutting-edge technology development. His commitment to innovation has established him as a key figure in the tech community, particularly in the realms of artificial intelligence and neural computation.

Collaborations: Throughout his career, Michael has collaborated with esteemed professionals, including Gaurav Kapoor and Daniel C. Gross. These collaborations have fostered an environment of creativity and ingenuity, enabling significant technological advancements in their projects.

Conclusion: Michael R. Siracusa’s contributions to machine learning and neural networks illustrate the pivotal role inventors play in shaping the technology landscape. His patents underline a commitment to improving the functionality and efficiency of complex systems. As technology continues to evolve, the impact of innovators like Michael will undoubtedly pave the way for future breakthroughs.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…