Frank Schmidt

Title: Innovations of Frank Schmidt

Introduction

Frank Schmidt is a notable inventor based in Leonberg, Germany. He has made significant contributions to the field of technology, particularly in the area of sensor data classification and actuator activation. With a total of four patents to his name, Schmidt's work reflects a deep understanding of neural networks and their applications.

Latest Patents

One of Schmidt's latest patents is a method and device for classifying sensor data and for ascertaining an activation signal for activating an actuator. This innovative method provides an activation signal based on the output of a neural network, which includes a scaling layer. The scaling layer effectively maps an input signal to an output signal, ensuring that the mapping corresponds to a predefined value range. Another significant patent focuses on improving robustness against 'adversarial examples.' This computer-implemented method assesses the robustness of a smoothed classifier for classifying sensor signals. It involves determining probabilities that an input signal will be classified into specific classes, even when subjected to noise.

Career Highlights

Throughout his career, Frank Schmidt has worked with prominent organizations, including Robert Bosch GmbH and Carnegie Mellon University. His experience in these institutions has allowed him to refine his skills and contribute to groundbreaking research and development in his field.

Collaborations

Schmidt has collaborated with notable individuals such as Jeremy Zieg Kolter and Jeremiah M Cohen. These partnerships have further enhanced his work and expanded the impact of his inventions.

Conclusion

Frank Schmidt's innovative contributions to technology, particularly in sensor data classification and actuator activation, showcase his expertise and dedication to advancing the field. His patents reflect a commitment to improving the robustness and functionality of technological systems.