Company Filing History:
Years Active: 2017-2023
Title: Innovations by Inventor Ming Jin
Introduction
Ming Jin is a prominent inventor based in Irvine, California, known for his contributions to the field of machine learning and data analysis. With a total of seven patents to his name, he has made significant strides in developing systems that enhance the efficiency and security of data processing.
Latest Patents
One of Ming Jin's latest patents is a machine learning model for the analysis of instruction sequences. This innovative system classifies instruction sequences using a trained machine learning model that detects interdependencies among tokens within the sequence. The operations include processing the instruction sequence and providing a classification based on these interdependencies. Another notable patent focuses on isolating data for analysis to prevent malicious attacks. This system determines whether a file is safe for processing in a primary operating environment by utilizing a machine learning model in an isolated operating environment. If the file is deemed safe, it is processed; if not, it is blocked from processing.
Career Highlights
Ming Jin currently works at Cylance Inc., a company recognized for its advanced cybersecurity solutions. His work at Cylance has allowed him to apply his expertise in machine learning to develop innovative technologies that protect against cyber threats.
Collaborations
Ming collaborates with talented individuals such as Matthew Wolff and Ryan Permeh, who contribute to the innovative environment at Cylance Inc. Their combined efforts enhance the company's ability to deliver cutting-edge solutions in cybersecurity.
Conclusion
Ming Jin's contributions to machine learning and data security through his patents reflect his commitment to innovation. His work continues to influence the field and provides valuable advancements in technology.