Company Filing History:
Years Active: 2017-2022
Title: D Scott Phoenix: Innovator in Neural Network Technologies
Introduction
D Scott Phoenix is a prominent inventor based in Union City, CA (US). He has made significant contributions to the field of artificial intelligence, particularly in the development of advanced neural network systems. With a total of six patents to his name, Phoenix is recognized for his innovative approaches to machine learning and image data processing.
Latest Patents
Among his latest patents is the "System and method for a recursive cortical network." This invention outlines a method for inferring patterns in multi-dimensional image data by utilizing a recursive network of sub-networks. The process involves configuring nodes with posterior distribution components and propagating node activation through a hierarchical network structure. Another notable patent is the "System and method for teaching compositionality to convolutional neural networks." This system aims to enhance the learning capabilities of convolutional neural networks by training both unmasked and masked networks simultaneously, focusing on reducing both discriminative and compositional loss.
Career Highlights
D Scott Phoenix is currently associated with Vicarious FPC, Inc., where he continues to push the boundaries of neural network technology. His work has garnered attention for its potential applications in various fields, including computer vision and artificial intelligence.
Collaborations
Throughout his career, Phoenix has collaborated with notable colleagues such as Dileep George and Kenneth Alan Kansky. These partnerships have contributed to the advancement of innovative solutions in the realm of machine learning.
Conclusion
D Scott Phoenix stands out as a key figure in the development of neural network technologies. His patents reflect a deep understanding of complex systems and a commitment to advancing the field of artificial intelligence. His contributions are likely to have a lasting impact on the industry.
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