Company Filing History:
Years Active: 2022
Title: Andrey Simanovsky: Innovator in Machine Learning and Anomaly Detection
Introduction
Andrey Simanovsky is a prominent inventor based in Sunnyvale, CA (US). He has made significant contributions to the field of machine learning and anomaly detection, holding a total of 3 patents. His work focuses on utilizing Internet protocol (IP) addresses and connection contexts to enhance machine learning models.
Latest Patents
One of Andrey's latest patents involves training a machine learning model using IP addresses and connection contexts. This invention includes an apparatus with a processor and a non-transitory computer-readable medium that stores machine-readable instructions. These instructions enable the processor to identify IP addresses and their associated connection attributes. The model learns to map these inputs to connection contexts, improving its predictive capabilities.
Another notable patent addresses the mapping between raw anomaly scores and transformed anomaly scores. This system determines mappings for raw anomaly scores in different ranges, allowing for effective anomaly detection in computing environments. By utilizing these mappings, the system can identify anomalous points with a specified probability, enhancing the reliability of anomaly detection processes.
Career Highlights
Andrey Simanovsky is currently employed at Micro Focus LLC, where he continues to innovate in the field of machine learning. His expertise in developing advanced algorithms has positioned him as a key player in his organization. His contributions have not only advanced the company's technological capabilities but have also influenced the broader field of data analysis.
Collaborations
Andrey collaborates with his coworker, Manish Marwah, to further enhance their projects and drive innovation within their team. Their combined expertise fosters a creative environment that leads to groundbreaking advancements in technology.
Conclusion
Andrey Simanovsky's work in machine learning and anomaly detection exemplifies the impact of innovative thinking in technology. His patents reflect a commitment to advancing the field and improving the efficiency of data processing systems.