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 neurosciences, artificial intelligence and non linear dynamical systems.
He is the inventor of a new artificial vision technology based on neural networks using the original “fractal embedding” learning algorithm, that is implemented into visual systems of humanoid and industrial robots (Uracode). As an engineer he received numerous awards, including the CNRS Cristal and the international award of industrial vision. He is the cofounder of 2 startups that market his technology and developed around 30 industrial vision systems. As a researcher he also authored or coauthored around 30 journal papers or conference proceedings and 4 international patents. He also wrote 3 books popularizing science and various articles in general public reviews about the nature of time and consciousness. For a few years he has done computing research in fundamental physics of information, trying to characterize and quantify the explosion of multiverse branches into a billiard, using ultrafast algorithms, so as to revise our vision of time, space-time and dimensions.