Mick Fandrich

Title: Mick Fandrich: Innovator in Neural Network Classifiers

Introduction

Mick Fandrich is a notable inventor based in Folsom, CA (US). He has made significant contributions to the field of neural networks, particularly through his innovative patent. His work focuses on enhancing hardware capabilities for neural network classifiers, making them more efficient and practical.

Latest Patents

Mick Fandrich holds a patent for "Hardware enhancements to radial basis function with restricted coulomb energy learning and/or K-nearest neighbor based neural network classifiers." This patent describes embodiments for a hardware-based neural network integrated circuit classifier that incorporates natively implemented Radial Basis functions, Restricted Coulomb Energy function, and/or kNN. This innovation aims to improve the handling of a broader group of parallel algorithms.

Career Highlights

Mick is currently associated with In2h2, where he applies his expertise in neural networks. His work has been instrumental in advancing the capabilities of integrated circuit classifiers, contributing to the evolution of machine learning technologies.

Collaborations

Mick has collaborated with notable colleagues such as Bruce Kent McCormick and Bill H Nagel. Their combined efforts have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Mick Fandrich's contributions to the field of neural networks and his innovative patent highlight his role as a significant inventor. His work continues to influence advancements in machine learning and integrated circuit design.