This inventor holds 1 USPTO granted patent. Top assignee: University System of Maryland. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Innovations of Anthony Robert Mautino in Integrated Circuit Designs
Introduction
Anthony Robert Mautino is an accomplished inventor based in Damascus, MD (US). He has made significant contributions to the field of integrated circuit designs, particularly in the areas of reservoir computing and machine learning. His innovative work has the potential to enhance the efficiency and effectiveness of signal processing.
Latest Patents
Mautino holds a patent for an integrated circuit device designed for reservoir computing. This device features a weighted input layer, an unweighted, asynchronous internal recurrent neural network composed of nodes with binary weighting, and a weighted output layer. The weighting of output signals is executed using predetermined weighted sums stored in memory. The application-specific integrated circuit (ASIC) embodiments may include programmable nodes, allowing for flexibility in design. The characteristics of the reservoir can be adjusted to enable rapid processing and pattern recognition of signals at relatively high rates. He has 1 patent to his name.
Career Highlights
Mautino is affiliated with the University System of Maryland, where he continues to advance his research and development in integrated circuit technologies. His work is pivotal in bridging the gap between theoretical concepts and practical applications in machine learning.
Collaborations
Mautino has collaborated with notable colleagues such as Peter Megson and Alessandro Restelli. Their combined expertise contributes to the innovative projects they undertake.
Conclusion
Anthony Robert Mautino's contributions to integrated circuit designs exemplify the intersection of technology and innovation. His work in reservoir computing and machine learning is paving the way for future advancements in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
