This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2021.
Company Filing History:
Years Active: 2021
Title: Innovations of Taylor Phebus in Artificial Neural Networks
Introduction
Taylor Phebus is an accomplished inventor based in Austin, TX (US). He has made significant contributions to the field of artificial intelligence through his innovative work on neural network architectures. His expertise and creativity have led to the development of a unique patent that enhances the functionality of integrated circuits.
Latest Patents
Taylor Phebus holds a patent for an "Artificial neural network architecture based on lookup table." This invention involves an integrated circuit that includes multiple circuits designed to process input values and generate output based on probability density distributions. The architecture is structured to optimize the selection of candidate values and improve the efficiency of neural network operations.
Career Highlights
Currently, Taylor Phebus is employed at Amazon Technologies, Inc., where he continues to push the boundaries of technology. His work focuses on developing advanced solutions that leverage artificial intelligence to solve complex problems. With a strong foundation in engineering and technology, he has established himself as a key player in the innovation landscape.
Collaborations
Taylor collaborates with talented professionals in his field, including his coworker Asif Khan. Together, they work on projects that aim to advance the capabilities of artificial intelligence and machine learning technologies.
Conclusion
Taylor Phebus is a notable inventor whose work in artificial neural networks exemplifies the spirit of innovation. His contributions to the field are paving the way for future advancements in technology.
