Deep Learning Applied to Optical Physics.
Experimental Optical Table
The recent progress in Deep Learning methods has been contributing to a wide range of domains. This project focus on investigating Deep Learning and other machine learning methods to support optical physics applications.
This research project aims to identify and employ state-of-the-art pattern recognition methods to recognize optical and physical properties in image-based experiments. Moreover, make use of artificial intelligence to enhance experimental setups and propose novel experimental techniques.
Bruno A D Marques
Professor of Computer Science
Computer Graphics, Artificial Intelligence and Games.
