Company Filing History:
2 out of 40,927 
1 out of 99 Years Active: 2024-2025
Title: Innovations of Inventor Kai-Yuan Ting
Introduction
Kai-Yuan Ting is a notable inventor based in Hsinchu, Taiwan. He has made significant contributions to the field of semiconductor design and machine learning. With a total of 2 patents, his work focuses on enhancing the efficiency of machine learning applications through innovative methodologies.
Latest Patents
Kai-Yuan Ting's latest patents include a system and method for ESL modeling of machine learning. This invention involves a non-transitory computer-readable storage medium encoded with instructions for designing semiconductor devices using electronic system level (ESL) modeling. The process allows for the retrieval of source code to execute various operations of a machine learning algorithm. It classifies operations into slow and fast groups based on the time required to complete each operation. The invention also defines a neural network to execute slow group operations and generates an ESL platform for evaluating semiconductor designs based on the trained neural network configuration.
Another patent by Ting outlines a method that includes receiving source code for executing operations associated with a machine learning algorithm. This method classifies each operation into fast and slow operation groups, defines a neuron network for executing slow operations, and maps the neuron network to an initial machine learning hardware configuration. The method culminates in executing slow operations on the hardware configuration and finalizing it to successfully execute at least one test data set.
Career Highlights
Throughout his career, Kai-Yuan Ting has worked with prominent companies in the semiconductor industry, including Taiwan Semiconductor Manufacturing Company Ltd. and TSMC Nanjing Company, Limited. His experience in these organizations has contributed to his expertise in semiconductor design and machine learning applications.
Collaborations
Some of his notable coworkers include Sandeep Kumar Goel and Tze-Chiang Huang. Their collaboration has likely fostered innovative ideas and advancements in their respective fields.
Conclusion
Kai-Yuan Ting's contributions to the field of semiconductor design and machine learning are noteworthy. His innovative patents and career highlights reflect his dedication to advancing technology in these areas.