Vihar Sharoff

Title: Innovations of Vihar Sharoff in Deep Learning Architecture

Introduction

Vihar Sharoff is an innovative inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of deep learning, particularly in the area of adverse media screening. His work focuses on developing systems and methods that enhance the accuracy and efficiency of media analysis.

Latest Patents

Vihar Sharoff holds a patent for a "Deep learning architecture for adverse media screening." This patent describes systems, methods, and apparatus that generate a dynamic data stream from news reports acquired from various media channels in different formats. The architecture employs geometric clustering algorithms to group reports into a coherence graph, which incorporates fact-checking sources. A graph neural network is utilized to determine the coherence between news claims and fact-checking sources, as well as between similar reports. The network outputs a legitimacy score for each report, allowing credible reports to be flagged and retrieved during customer screenings. This innovative approach can trigger customer account closure protocols based on the materiality of credible reports.

Career Highlights

Vihar Sharoff is currently associated with Bank of America Corporation, where he applies his expertise in deep learning and media analysis. His work at the bank involves leveraging advanced technologies to improve decision-making processes and enhance customer experiences.

Collaborations

Due to space constraints, the collaborations section will be omitted.

Conclusion

Vihar Sharoff's contributions to deep learning architecture represent a significant advancement in adverse media screening. His innovative patent and work at Bank of America Corporation highlight his commitment to improving media analysis through technology.