Wolfgang Lehrach

Title: Innovations of Wolfgang Lehrach

Introduction

Wolfgang Lehrach is a notable inventor based in Union City, CA, with a remarkable portfolio of seven patents. His work primarily focuses on advanced computational methods and systems that enhance the processing of multi-dimensional image data.

Latest Patents

Lehrach's latest patents include a "System and method for a recursive cortical network." This innovative method infers patterns in multi-dimensional image data by utilizing a recursive network of sub-networks. The process involves providing a parent feature node and at least two child feature nodes, configuring nodes with posterior distribution components, and propagating node activation through a hierarchical network. The output is a selection from the parent feature node to an inferred output. Another patent under the same title describes a system that includes a recursively architected network of sub-networks organized into hierarchical layers. This system features a parent feature node, pool node, parent-specific child feature node, and child feature node, all designed to enhance the activation and connection of nodes across different layers.

Career Highlights

Lehrach has made significant contributions to the field of computational networks through his innovative designs and methodologies. His work has implications for various applications, particularly in image processing and artificial intelligence.

Collaborations

Some of his notable coworkers include Dileep George and Kenneth Alan Kansky, who have collaborated with him on various projects at Vicarious Fpc, Inc.

Conclusion

Wolfgang Lehrach's contributions to the field of technology through his patents and innovative systems demonstrate his expertise and commitment to advancing computational methods. His work continues to influence the landscape of image data processing and artificial intelligence.