About the author
Dr. Philippe Guillemant is a research engineer at the French National Centre for Scientific Research (CNRS), holding an engineering degree from Ecole Centrale Paris and graduated in physics from Aix Marseille University (PhD and habilitation to supervise PhD students). He carries out interdisciplinary research based on computer engineering that is connecting theoretical physics, neurosciences, artificial intelligence and nonlinear dynamical systems.
As a researcher he authored or coauthored around 30 journal papers or conference proceedings and 4 international patents. His main contribution in science is an original proposition that space-time could be flexible, that he derived from its work in the domain of computational physics of information. This work consist in complex calculations using ultrafast algorithms, so as to characterize and quantify the explosion of multiverse branches into a billiard, from the hypothesis that the density of information in the universe is limited. One of the more interesting conclusions of his work is to highlight in a purely classical context that space-time needs six additional dimensions to be deterministic.
As an engineer he is the inventor of a new artificial vision technology based on neural networks using the original “fractal embedding” learning algorithm, that has been implemented into visual systems of humanoid and industrial robots. He received numerous awards, including the CNRS Cristal and the international award of industrial vision. He is the cofounder of 2 startups that marketed his technology and developed around 30 industrial vision systems. He also wrote 4 books popularizing science and various articles in general public reviews about the nature of time and consciousness.