Yash Jayesh Dagli

Title: Yash Jayesh Dagli: Innovator in Memory Error Prediction Systems

Introduction

Yash Jayesh Dagli is an accomplished inventor based in Redmond, WA (US). He has made significant contributions to the field of memory error prediction systems, showcasing his innovative spirit and technical expertise.

Latest Patents

Yash holds a patent for a "Spatial-temporal memory uncorrectable error prediction system." This invention focuses on systems and methods that utilize a spatial-temporal transformer to predict memory errors. The system aggregates historical data, including error logs from data centers, by time windows. It generates a spatial representation of the errors and a set of micro features for each time window in an observation period. A memory feature vector is created for each time window by flattening the spatial representation and appending the corresponding set of micro features. The spatial-temporal transformer is trained by applying the memory feature vector for each time window to a transformer encoder. This training process is repeated for each observation period within a data collection period. During inference time, a similar process is performed to generate inference memory feature vectors for an inference observation period, which are then applied to the trained transformer to predict errors.

Career Highlights

Yash is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in technology. His work has positioned him as a key player in the field of memory error prediction.

Collaborations

Yash collaborates with talented individuals such as Zhexiong Liu and Cristopher D Benge, contributing to a dynamic and innovative work environment.

Conclusion

Yash Jayesh Dagli is a notable inventor whose work in memory error prediction systems exemplifies innovation and technical prowess. His contributions are paving the way for advancements in technology and data management.