This inventor holds 1 USPTO granted patent. Top assignee: Intel Corporation. Active years: 1993.
Company Filing History:
Years Active: 1993
Title: The Innovations of Raymond E. McNamee
Introduction
Raymond E. McNamee is a notable inventor based in Boring, Oregon. He has made significant contributions to the field of electronic networks, particularly in the training of neural networks. His work has implications for various applications in technology and artificial intelligence.
Latest Patents
Raymond E. McNamee holds a patent for a "Training system for neural networks and the like." This invention provides a means and method for training an electronic network of analog cells. The patent describes a generic universal programmer interface (GUPI) that enables the connection of an adaptor to a host computer via a personal computer personal programmer (PCPP) for training an ETANN chip. The adaptor plugs into the GUPI module, allowing users to connect either an ETANN chip or a Confidence Test Module (CTM). The invention includes various resources for training the ETANN, such as digital to analog conversion, analog to digital conversion, and neuron perturbation circuitry. Additionally, it encompasses host computer software necessary for controlling the operation of the adapter.
Career Highlights
Raymond E. McNamee is associated with Intel Corporation, a leading technology company known for its innovations in semiconductor manufacturing and computing technology. His work at Intel has allowed him to contribute to advancements in neural network training systems.
Collaborations
Throughout his career, McNamee has collaborated with notable colleagues, including Louis J. Johnson and Richard K. Helm. These collaborations have likely enriched his work and contributed to the development of innovative technologies.
Conclusion
Raymond E. McNamee's contributions to the field of neural networks and electronic systems highlight his innovative spirit and dedication to advancing technology. His patent for a training system exemplifies the potential for further developments in artificial intelligence and electronic networks.