This inventor holds 2 USPTO granted patents. Top assignee: Wing Aviation LLC. Active years: 2023-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2026
Title: Krzysztof Choromanski: Innovator in Autonomous Vehicle Technology
Introduction
Krzysztof Choromanski is a prominent inventor based in Redwood City, CA. He has made significant contributions to the field of autonomous vehicle technology, particularly in the area of anomaly detection. With a total of 2 patents to his name, Choromanski is recognized for his innovative approaches to machine learning and data analysis.
Latest Patents
Choromanski's latest patents focus on "Unsupervised Anomaly Detection for Autonomous Vehicles." In these patents, he provides techniques for analyzing time series data to detect anomalies. The time series data is processed using a machine learning model that is trained in an unsupervised manner on large amounts of previous data. This allows for the creation of highly accurate models from novel data. The training of the machine learning model alternates between fitting optimization and trimming optimization, enabling the processing of large amounts of training data that includes untagged anomalous records. This innovative approach allows for the detection of anomalies within complex systems, including unmanned aerial vehicles. When anomalies are detected, commands can be transmitted to the monitored system to respond appropriately.
Career Highlights
Choromanski is currently employed at Wing Aviation LLC, where he continues to develop cutting-edge technologies in the field of autonomous systems. His work has positioned him as a key player in the advancement of safety and reliability in autonomous vehicles.
Collaborations
Some of his notable coworkers include Vikas Sindhwani and Brandon L. Jones, who contribute to the innovative environment at Wing Aviation LLC.
Conclusion
Krzysztof Choromanski is a leading inventor whose work in anomaly detection for autonomous vehicles is paving the way for safer and more reliable autonomous systems. His contributions to machine learning and data analysis are significant, and his patents reflect his commitment to innovation in this critical field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile