Daniel J Gebhardt

Title: The Innovative Contributions of Daniel J Gebhardt

Introduction

Daniel J Gebhardt is a notable inventor based in San Diego, CA. He has made significant contributions to the field of technology, particularly in machine learning and autonomous systems. With a total of 4 patents to his name, Gebhardt's work is at the forefront of innovation.

Latest Patents

One of Gebhardt's latest patents is titled "Machine learning based automated object recognition for unmanned autonomous vehicles." This invention involves a platform equipped with an image capture system connected to a controller that implements a neural network. The neural network is trained to associate visual features within an environment with a target object using a known set of input data examples and labels. The system captures input images from the environment, recognizes features that match the target object, and determines the geospatial position of the target object based on labeled input images. A class activation map is generated and communicated to a supervisory system for action.

Another significant patent is the "Asynchronous artificial neural network architecture." This invention describes an asynchronous convolutional neural network (CNN) that interprets a sequence of input data. A computational unit (CU) in the CNN receives an input value and calculates an activation value. A change detector (CD) associated with the CU detects significant differences in activation values, indicating changes in the input data sequence. If a significant change is detected, the activation value is supplied to subsequent CUs in the network.

Career Highlights

Daniel J Gebhardt works for the United States Navy, where he applies his expertise in developing advanced technologies. His role involves collaborating with various teams to enhance the capabilities of unmanned autonomous vehicles and machine learning systems.

Collaborations

Some of Gebhardt's notable coworkers include Benjamin J Migliori and Michael W Walton. Their collaborative efforts contribute to the innovative projects within the United States Navy.

Conclusion

Daniel J Gebhardt's contributions to technology through his patents and work with the United States Navy highlight his role as a leading inventor in the field. His innovative solutions in machine learning and autonomous systems continue to pave the way for advancements in technology.