Pittsburgh, PA, United States of America

Aapo Kyrola


 


Average Co-Inventor Count = 8.0

ph-index = 2

Forward Citations = 65(Granted Patents)


Company Filing History:


Years Active: 2016-2017

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2 patents (USPTO):Explore Patents

Title: Aapo Kyrola: Innovator in Continuous Graph Update Technology

Introduction

Aapo Kyrola is a notable inventor based in Pittsburgh, PA (US). He has made significant contributions to the field of data processing and graph computation. With a total of 2 patents to his name, Kyrola is recognized for his innovative approaches to handling continuous streams of data.

Latest Patents

Kyrola's latest patents focus on a platform for continuous graph update and computation. This technology involves receiving a continuous stream of data, such as messages and tweets, through ingest nodes of a platform. The ingest nodes analyze the data to create transactions of graph updates, assign sequence numbers to these transactions, and distribute the updates to graph nodes. The graph nodes store these updates, while the ingest nodes report progress in a progress table. A snapshot can be taken based on this table, allowing for graph-mining computation. The platform is designed to tolerate failures and decay, and it supports incremental expansion to meet increasing update rates and computation needs.

Career Highlights

Aapo Kyrola is currently employed at Microsoft Technology Licensing, LLC. His work at Microsoft has allowed him to develop and refine his innovative technologies, contributing to advancements in data processing and graph computation.

Collaborations

Some of Kyrola's coworkers include Fan Yang and Xuetian Weng. Their collaboration has likely fostered an environment of innovation and creativity, leading to the development of cutting-edge technologies.

Conclusion

Aapo Kyrola is a prominent inventor whose work in continuous graph update technology has the potential to revolutionize data processing. His contributions to the field are significant, and his patents reflect a deep understanding of the challenges and needs in handling continuous data streams.

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