Seattle, WA, United States of America

Jasmine Grace Schlichting


Average Co-Inventor Count = 18.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: **Innovations of Jasmine Grace Schlichting: A Pioneer in Memory Failure Prediction**

Introduction

Jasmine Grace Schlichting, based in Seattle, WA, is an innovative inventor whose work contributes to advancing technology in error prediction systems. Her singular patent focuses on training and utilizing a memory failure prediction model that enhances the reliability of systems by forecasting uncorrectable errors.

Latest Patents

Jasmine's patent, titled "Training and using a memory failure prediction model," describes a method for predicting uncorrectable error (UE) events based on telemetry error data. This method involves generating UE state labels from the telemetry data and extracting statistical features that enable the training of a predictive model. By employing this model on a new set of telemetry data, Jasmine's approach allows for the anticipation of potential UE events, thereby enabling preventative measures to be taken to safeguard system memory integrity.

Career Highlights

Jasmine is currently associated with Microsoft Technology Licensing, LLC, where she applies her expertise in memory systems to develop solutions that improve overall system performance. Her role involves leveraging her knowledge to create innovative applications that have significant implications in the field of technology.

Collaborations

In her professional journey, Jasmine collaborates with esteemed colleague Bhuvan Malladihalli Shashidhara. This partnership reflects a commitment to innovation and problem-solving within the realm of memory failure prediction, combining their skills for groundbreaking advancements.

Conclusion

Jasmine Grace Schlichting's contributions to memory failure prediction mark her as a significant figure in the tech industry. With her innovative patent and collaborative efforts, she is paving the way for enhanced memory reliability and operational efficiency in technology systems. Her work exemplifies the importance of foresight in preventing system failures and illustrates the potential for innovation to shape the future of technology.

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