Jc Mao

Title: Jc Mao: Innovator in Predictive Modeling

Introduction

Jc Mao is a notable inventor based in Bellevue, WA (US). He has made significant contributions to the field of predictive modeling through his innovative patent. His work focuses on creating systems and methods that enhance the predictive capabilities of technology.

Latest Patents

Jc Mao holds a patent for "Automated predictive modeling and framework." This patent describes systems and methods for providing a predictive framework that comprises plural neural layers of adaptable, executable neurons. The neurons accept one or more input signals and produce an output signal that can be utilized by an upper-level neural layer. The encoding neural layer processes input signals with a 1:1 correspondence between an input signal and an encoding neuron. The objective function uses the output signals of the topmost neural layer to generate predictive results for a data set based on a specific objective.

Career Highlights

Jc Mao is currently associated with Microsoft Technology Licensing, LLC, where he applies his expertise in predictive modeling. His innovative approach has led to advancements in how technology can predict user interactions with content. His patent is a testament to his skills and dedication to the field.

Collaborations

Jc Mao has worked alongside talented individuals such as Ying Shan and Thomas Ryan Hoens. Their collaborative efforts contribute to the innovative environment at Microsoft Technology Licensing, LLC.

Conclusion

Jc Mao's contributions to predictive modeling through his patent demonstrate his commitment to innovation in technology. His work continues to influence the way predictive frameworks are developed and utilized in various applications.