This inventor holds 1 USPTO granted patent. Top assignee: L3harris Technologies, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Michael Fischer: Innovator in Anomaly Detection
Introduction
Michael Fischer is an accomplished inventor based in Indiatlantic, Florida. He has made significant contributions to the field of data analysis and machine learning. His innovative work focuses on methods for recognizing anomalous data in distributed systems.
Latest Patents
Michael Fischer holds a patent titled "Methods of training variational autoencoders to recognize anomalous data in distributed systems." This patent describes a process where input image data, representative of devices and processes in a distributed system, is provided to an encoder of a variational autoencoder (VAE) on a processor. The input image data is compressed using a first plurality of weights with the encoder. A normal distribution of the compressed image data is created in a latent space of the VAE. The compressed image data is then decompressed using a second plurality of weights with a decoder of the VAE. The decompressed image data is optimized, and the weights are updated based on the loss detected in the optimized decompressed image data. This iterative process continues until the decompressed image data possesses substantially the same statistical properties as the input image data. Michael Fischer has 1 patent to his name.
Career Highlights
Michael Fischer is currently employed at L3Harris Technologies, Inc., where he applies his expertise in machine learning and data analysis. His work at L3Harris Technologies focuses on developing advanced technologies that enhance the capabilities of distributed systems.
Collaborations
Michael collaborates with various professionals in his field, including his coworker Kevin Fox. Their combined efforts contribute to the innovative projects at L3Harris Technologies.
Conclusion
Michael Fischer is a notable inventor whose work in anomaly detection through variational autoencoders is paving the way for advancements in distributed systems. His contributions are significant in the realm of data analysis and machine learning.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile