Benjamin Killeen

Title: Benjamin Killeen: Innovator in Convolutional Neural Networks

Introduction

Benjamin Killeen is a notable inventor based in St. Louis, MO (US). He has made significant contributions to the field of artificial intelligence, particularly in the efficient processing of convolutional neural networks (CNNs). His innovative approach utilizes analog-memory-based hardware to enhance computational efficiency.

Latest Patents

Killeen holds a patent for "Efficient processing of convolutional neural network layers using analog-memory-based hardware." This patent outlines a computer-implemented method for implementing a CNN using a crosspoint array. The method involves configuring the crosspoint array to correspond with a convolution layer in the CNN by storing convolution kernels in crosspoint devices. It also details how computations for the CNN are performed by transmitting voltage pulses corresponding to input data, ultimately outputting an electric current that represents multiplication operations at the crosspoint devices.

Career Highlights

Throughout his career, Benjamin Killeen has worked with prestigious organizations, including IBM and the University of Chicago. His experience in these institutions has allowed him to collaborate with leading experts in the field of technology and research.

Collaborations

One of Killeen's notable collaborators is Geoffrey W. Burr. Their partnership has contributed to advancements in the field of convolutional neural networks and analog computing.

Conclusion

Benjamin Killeen's work in the realm of convolutional neural networks showcases his innovative spirit and dedication to advancing technology. His contributions are paving the way for more efficient computational methods in artificial intelligence.