Michael Herman

Title: The Innovative Mind of Michael Herman

Introduction

Michael Herman is a prominent inventor based in Sindelfingen, Germany. He has made significant contributions to the field of neural networks and artificial intelligence, holding a total of seven patents. His work focuses on creating methods that enhance the functionality and efficiency of neural networks in various applications.

Latest Patents

One of Michael Herman's latest patents is titled "Configuring a neural network for equivariant or invariant behavior." This method involves transforming measured data to induce output variables that exhibit invariant or equivariant behavior. The process includes setting up equations that link desired conditions with the architecture of the neural network. By solving these equations, a feature is obtained that characterizes the desired architecture and weight distribution of the neural network.

Another notable patent is "Physical environment interaction with an equivariant policy." This invention describes a computer-implemented method for interacting with a physical environment based on a policy that determines action probabilities from observable states. The policy utilizes a neural network to process inputs and apply a final layer that incorporates equivariant base weight matrices, ensuring that transformations of the input lead to corresponding action permutations.

Career Highlights

Michael has worked with renowned companies such as Robert Bosch GmbH and SAP SE. His experience in these organizations has allowed him to apply his innovative ideas in practical settings, contributing to advancements in technology and artificial intelligence.

Collaborations

Michael has collaborated with notable individuals in his field, including Benedikt Alt and Max Welling. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Michael Herman is a visionary inventor whose work in neural networks has the potential to revolutionize how machines interact with their environments. His patents reflect a deep understanding of complex systems and a commitment to innovation.