This inventor holds 2 USPTO granted patents and 3 published patent applications. Top assignee: Robert Bosch. Active years: 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: 2026
Title: Innovations of Marcus Gualtieri in Machine Learning Management
Introduction
Marcus Gualtieri is an accomplished inventor based in Fremont, CA (US). He has made significant contributions to the field of cloud computing and machine learning. His innovative work focuses on optimizing the management of machine learning inference in edge-cloud systems.
Latest Patents
Marcus holds a patent for "Intelligent management of machine learning inference in edge-cloud systems." This patent describes a system and method for managing a cloud computing system. The system receives queries from various edge devices, which include sensor data. During a current time period, prediction data is generated using cloud machine learning models based on this sensor data. Additionally, system state data is produced, indicating the current state of the environment defined by the cloud computing system and the edge devices. A machine learning system then generates policy data by optimizing the expected return of a reward concerning specific actions based on the system state data. The cloud computing system subsequently performs the recommended action derived from the policy data.
Career Highlights
Marcus Gualtieri is currently employed at Robert Bosch, where he applies his expertise in machine learning and cloud computing. His work has been instrumental in advancing the capabilities of edge-cloud systems.
Collaborations
Some of Marcus's notable coworkers include Sharath Gopal and Baolin Li, who contribute to the innovative environment at Robert Bosch.
Conclusion
Marcus Gualtieri's contributions to machine learning and cloud computing exemplify the impact of innovative thinking in technology. His patent and work at Robert Bosch highlight the importance of optimizing cloud systems for better performance and efficiency.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
