This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. 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: Kaiyi Liu and Adaptive Energy Modeling for Cloud Computing.
Introduction
Kaiyi Liu is an inventor associated with Richmond Hill, CA. Her patent work addresses the challenge of estimating energy consumption in cloud computing systems, where system updates can change power-use patterns.
Latest Patents
Liu is named on 1 patent: “Adaptively Training a Machine Learning Model for Estimating Energy Consumption in a Cloud Computing System.” The invention describes detecting an update event, collecting energy-consumption data during a period after the event, and using that data to retrain a power-consumption model. The updated model is then stored in the cloud computing system.
Career Highlights
Liu is associated with International Business Machines Corporation. Her patent reflects the use of machine learning to adapt energy-consumption estimates as cloud systems change.
Collaborations
Liu’s listed coworkers include Eun Kyung Lee and Sunyanan Choochotkaew. Their shared association with the patent points to collaborative work on adaptive modeling for cloud computing.
Conclusion
Kaiyi Liu’s patent focuses on keeping cloud energy-consumption models responsive to system updates, supporting more adaptive power estimation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile