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The SOUND-PC project aims to develop a novel architecture for optical neural networks using light-sound interactions. This approach seeks to create highly reconfigurable computing systems that can process information in various domains, potentially advancing the field of quantum neural networks.
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…
GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER
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