Garrett Thomas Botkin

Title: Innovations of Garrett Thomas Botkin

Introduction

Garrett Thomas Botkin is an accomplished inventor based in Charlotte, NC (US). He has made significant contributions to the field of technology, particularly in the areas of security and neural networks. With a total of three patents to his name, Botkin's work showcases his innovative approach to solving complex problems.

Latest Patents

One of Botkin's latest patents is titled "Steganographic modification detection and mitigation for enhanced enterprise security." This invention focuses on the detection and mitigation of steganographic modifications embedded in images. The computing platform involved can modify bits of color components in pixels, rendering these modifications ineffective. Additionally, it can execute images with steganographic modifications to identify such images and compare them with stored images to ensure security.

Another notable patent is "Knowledge persistent and structurally dynamic neural network." This method involves applying a neural network to solve problems defined by input information. The neural network consists of multiple levels, including input, manager, worker, and output levels. This innovative approach allows for efficient problem-solving by delegating tasks among different components of the network.

Career Highlights

Garrett Thomas Botkin is currently employed at Bank of America Corporation, where he continues to develop and implement his innovative ideas. His work at the bank allows him to apply his inventions in real-world scenarios, contributing to advancements in technology and security.

Collaborations

Throughout his career, Botkin has collaborated with talented individuals such as Matthew Bruce Murray and Dustin Paul Stocks. These collaborations have likely enriched his work and led to further innovations in his field.

Conclusion

Garrett Thomas Botkin is a notable inventor whose work in steganography and neural networks has made a significant impact in technology. His contributions continue to enhance security measures and problem-solving capabilities in various applications.