Miriam Silver

Title: The Innovative Contributions of Miriam Silver

Introduction

Miriam Silver is a notable inventor based in New York, NY (US). She has made significant strides in the field of cyber-security through her innovative patent. Her work focuses on enhancing the understanding and prediction of cyber-security attacks using advanced machine learning techniques.

Latest Patents

Miriam Silver holds a patent titled "Generating predicted end-to-end cyber-security attack characteristics via bifurcated machine learning-based processing of multi-modal data systems and methods." This patent describes systems and methods for generating predicted end-to-end cyber-security attack characteristics. The system accesses multi-modal data indicating a set of security information related to a computing system. It generates a set of extracted characteristics indicating a cyber-security attack on the computing system via a supervised machine learning model. The system then revises these characteristics using an unsupervised machine learning model, ultimately providing a graphical representation of the revised set of extracted characteristics.

Career Highlights

Miriam Silver is currently employed at Citibank, N.A., where she applies her expertise in cyber-security. Her innovative approach to machine learning and data processing has positioned her as a key player in her field. With her patent, she contributes to the ongoing efforts to enhance cyber-security measures in computing systems.

Collaborations

Miriam has collaborated with notable colleagues such as William Franklin Cameron and Pramod Goyal. Their combined expertise fosters a productive environment for innovation and development in cyber-security.

Conclusion

Miriam Silver's contributions to the field of cyber-security through her innovative patent demonstrate her commitment to advancing technology. Her work not only enhances security measures but also showcases the potential of machine learning in predicting cyber threats.