Company Filing History:
Years Active: 2021
Title: Jonathon W Donaldson: Innovator in Neuromorphic Computing
Introduction
Jonathon W Donaldson is a prominent inventor based in Albuquerque, NM (US). He has made significant contributions to the field of neuromorphic computing, particularly through his innovative patent. His work focuses on enhancing the efficiency and functionality of computing systems that mimic the neural structures of the human brain.
Latest Patents
Jonathon holds a patent for a "Neuromorphic computing architecture with dynamically accessible contexts." This patent describes various technologies related to allocating computing resources within a neuromorphic computing system. The invention identifies subgraphs of a neural algorithm graph that can be executed by the system. Each subgraph is executed by a group of neuron circuits in a serial manner. The output data generated from these executions is provided to the same or a second group of neuron circuits simultaneously or with timing data that indicates when the output was produced. This innovative approach allows for one or more processing operations to be performed based on the output data.
Career Highlights
Throughout his career, Jonathon has worked with notable organizations, including National Technology & Engineering Solutions of Sandia, LLC and Lewis Rhodes Labs, Inc. His experience in these companies has allowed him to develop and refine his expertise in neuromorphic computing and related technologies.
Collaborations
Jonathon has collaborated with esteemed colleagues such as James Bradley Aimone and John H Naegle. These partnerships have contributed to the advancement of his research and the successful development of his patent.
Conclusion
Jonathon W Donaldson is a key figure in the field of neuromorphic computing, with a focus on innovative architectures that enhance computing efficiency. His contributions through his patent and collaborations with industry professionals highlight his commitment to advancing technology in this exciting area.