Company Filing History:
Years Active: 2025
Title: Innovations by Christopher Cade Daniel
Introduction
Christopher Cade Daniel is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of machine learning, particularly in optimizing the training process across multiple devices. His innovative approach has the potential to enhance the efficiency of machine learning applications.
Latest Patents
Christopher Cade Daniel holds a patent for "Automatic partitioning of machine learning models for training across multiple devices." This patent describes a method for partitioning a machine learning model to facilitate training across various processing devices. The process involves specifying a number of partitions for the model and determining an optimization parameter. Based on these specifications, different partitions are identified for training, and a schedule for executing the training job is generated accordingly. This innovation aims to streamline the training process and improve performance.
Career Highlights
Christopher is currently employed at Amazon Technologies, Inc., where he continues to work on cutting-edge technologies in machine learning. His expertise in this area has positioned him as a valuable asset to his team and the company.
Collaborations
Some of his notable coworkers include Can Karakus and Rahul Raghavendra Huilgol. Their collaborative efforts contribute to the advancement of technology within their projects.
Conclusion
Christopher Cade Daniel's work in automatic partitioning of machine learning models showcases his innovative spirit and dedication to improving technology. His contributions are paving the way for more efficient machine learning processes in the industry.