ERC Consolidator Grant · 2024
Computing with Light and Sound
In contemporary times, intricate challenges, whether they pertain to climate dynamics or economic processes, necessitate the handling of big data and sophisticated intelligent systems. At the core of these systems are digital neural networks that can undergo training. Neural networks based on photonic connections can be an adequate alternative, as they come with a broad bandwidth, high processing speed, and integrability with existing electronic chips. However, so far optical neural networks are mostly based on fixed elements whose connections are difficult to reconfigure. In my project SOUND-PC, I aim at creating an alternative architecture to control the photonic siblings of neural…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.