Menachem Stern

Title: Menachem Stern: Innovator in Physics-Based Machine Learning

Introduction

Menachem Stern is a notable inventor based in Philadelphia, PA (US). He has made significant contributions to the field of machine learning, particularly through his innovative patent that focuses on physics-based computation. His work is instrumental in advancing the capabilities of machine learning systems.

Latest Patents

Menachem Stern holds a patent titled "Coupled networks for physics-based machine learning." This patent describes a system that includes two networks, each with a plurality of identical edges and feedback circuitry. The system is designed to compare the voltage drop at a given edge of the first network with the voltage drop at the corresponding edge of the second network. In this setup, at least one corresponding node is designated for input and at least one for output. The first network's output node remains free, producing output voltage in response to the input voltage(s). In contrast, the second network's output node is clamped at voltage(s) closer to the desired value for the specified input voltage(s). The feedback circuitry plays a crucial role in comparing voltages across corresponding edges and adjusting their effective resistances to facilitate learning. Menachem Stern has 1 patent to his name.

Career Highlights

Menachem Stern is affiliated with the University of Pennsylvania, where he continues to contribute to research and innovation in machine learning. His work is characterized by a strong emphasis on integrating physics principles into computational models, which enhances the learning processes of machine learning systems.

Collaborations

Menachem has collaborated with notable colleagues such as Samuel Dillavou and Douglas Durian. Their combined expertise fosters a rich environment for innovation and research in their respective fields.

Conclusion

Menachem Stern's contributions to physics-based machine learning exemplify the intersection of technology and scientific principles. His innovative patent and collaborative efforts at the University of Pennsylvania highlight his commitment to advancing the field.