neural Archives - European Conference on Integrated Optics

06/02/202406/02/2024

Multilevel reconfigurable nanophotonics with low-loss phase-change materials

Phase change materials (PCMs) are currently revolutionizing nanophotonics by providing ways to tune and reconfigure optical functionalities without any moving parts. Building on this phenomenon, the last decade has witnessed many exciting reports of novel devices exploiting PCMs such as for example beam-steering, tunable light emission, reflection and absorption, programmable metasurfaces and reconfigurable neural networks.

31/01/202231/01/2022

Silicon photonics neural networks in optical communications

Is the title of the presentation by invited speaker Lorenzo Pavesi, Full professor, Department of Physics, Università di Trento, Italy. s Professor of Experimental Physics at the Department of Physics of the University of Trento (Italy). Born the 21st of November 1961, he received his PhD in Physics in 1990 at the Ecole Polytechnique Federale of Lausanne (Switzerland). In 1990 he became Assistant Professor, an Associate Professor in 1999 and Full Professor in 2002 at the University of Trento.

26/01/202226/01/2022

Prospects and Applications of photonic neural networks

Is the title of the presentation by invited speaker Paul Prucnal, Professor of Electrical and Computer Engineering, Associated Faculty in the Princeton Institute of Materials (PRISM), Princeton University. Research in my group, the Lightwave Communications Laboratory, is focused on investigating ultrafast optical techniques with application to communication networks and signal processing. My graduate students and I are working on several exciting and innovative research projects, which benefit from close collaborations with government and industrial research laboratories.