Location History:
- Plombières les Dijon, FR (2019)
- Plombieres les Dijon, FR (2017 - 2021)
Company Filing History:
Years Active: 2017-2021
Title: Michel Paindavoine: Innovator in Neural Network Implementation
Introduction
Michel Paindavoine is a notable inventor based in Plombières-les-Dijon, France. He has made significant contributions to the field of electronic circuits, particularly in the implementation of neural networks. With a total of three patents to his name, Paindavoine's work focuses on enhancing the processing of various signals, including multidimensional signals such as images.
Latest Patents
One of his latest patents is an electronic circuit capable of implementing a neural network. This innovative design allows for the efficient processing of signals through a complete processing chain using neural networks. The circuit features a series of neuro-blocks organized in branches, which are connected to a broadcasting bus. Additionally, it includes a routing unit that manages data routing and broadcasting, as well as a transformation module that converts input data into serial coded data. Another significant patent involves a method for coding a real signal into a quantized signal. This method includes steps for converting real samples into digital representations and coding the modified distances of significant bits.
Career Highlights
Throughout his career, Michel Paindavoine has worked with esteemed organizations, including the Commissariat à l'énergie atomique et aux énergies alternatives. His expertise in electronic circuits and neural networks has positioned him as a key figure in the advancement of signal processing technologies.
Collaborations
Paindavoine has collaborated with notable professionals in his field, including Marc Duranton and Hong-Phuc Trinh. These collaborations have contributed to the development of innovative solutions in electronic circuit design.
Conclusion
Michel Paindavoine's contributions to the field of neural networks and electronic circuits demonstrate his commitment to innovation and technological advancement. His patents reflect a deep understanding of signal processing, paving the way for future developments in this area.