Miklós Sándor Béky

Title: Miklós Sándor Béky: Innovator in Cybersecurity and Machine Learning

Introduction

Miklós Sándor Béky is a notable inventor based in Budapest, Hungary. He has made significant contributions to the field of cybersecurity through his innovative approaches to machine learning. His work focuses on enhancing the capabilities of systems designed to perform complex computational tasks.

Latest Patents

Miklós holds 1 patent for his invention titled "Methods and apparatus for augmenting training data using large language models." This patent describes a process where a processor receives natural language data for executing a specific cybersecurity task. The processor utilizes a first machine learning model to infer a template query from the natural language data. It then receives user input to finalize the query, which is used as input for a system designed to perform the identified task. Additionally, the processor generates supplemental training data to improve the performance of the machine learning models involved.

Career Highlights

Miklós is currently employed at Sophos Limited, a company recognized for its advanced cybersecurity solutions. His role involves leveraging machine learning techniques to enhance the effectiveness of cybersecurity measures. His innovative work has positioned him as a key figure in the intersection of cybersecurity and artificial intelligence.

Collaborations

Miklós has collaborated with notable colleagues in his field, including Younghoo Lee and Joshua Daniel Saxe. These collaborations have further enriched his research and development efforts, contributing to advancements in cybersecurity technologies.

Conclusion

Miklós Sándor Béky's contributions to the field of cybersecurity through his innovative patent and collaborative efforts highlight his role as a significant inventor. His work continues to influence the development of machine learning applications in cybersecurity.