Company Filing History:
Years Active: 2022-2024
Title: Frances Peijin Guo - Innovator in Machine-Learned Event Detection
Introduction
Frances Peijin Guo is a prominent inventor based in San Jose, CA, known for her significant contributions to the field of machine-learned event detection systems. With a total of two patents to her name, she has established herself as a skilled innovator, merging technology with practical applications for enhanced data processing and event management.
Latest Patents
Guo's latest patents focus on a machine-learned model-based event detection system. The embodiments described involve the use of a multitude of sensor devices to generate and process sensor data. The system is capable of detecting events or precursors to events based on this data, classifying them into specific event categories. The technology involves accessing an object model linked to the detected event, which outlines a procedure for the event detection system to apply to the sensor data. The result is a streamlined flow of data to a server system, enabling advanced analysis and visualization based on the input from the sensor networks.
Career Highlights
Throughout her career, Frances has worked with notable organizations, including Samsara Networks and Samsara Inc., where she has made impactful strides in tech innovations. Her role has allowed her to pioneer developments in the field, utilizing her expertise in machine learning and data systems to drive the company's technological advancements forward.
Collaborations
In her journey as an inventor, Frances has collaborated with talented professionals, including Saleh ElHattab and Brian Tuan. These partnerships have contributed to her innovative work and have fostered a dynamic environment for creativity and problem-solving in the tech industry.
Conclusion
Frances Peijin Guo stands out as an influential figure in the realm of machine learning and event detection systems. Her patents signify a commitment to innovation and the practical applications of technology, cementing her place as a leading inventor in her field. With ongoing developments and collaborations, she continues to shape the future of data processing and event management.