Neuromorphic Photonic

Neuromorphic photonic computing aims to build brain-inspired computers using light instead of electricity, addressing limitations in speed and energy efficiency of traditional electronic AI. Current research focuses on developing and optimizing photonic implementations of spiking neural networks (SNNs) and convolutional neural networks (CNNs), exploring architectures like free-space optical networks and integrated photonic chips with various weight encoding schemes. This approach promises significant improvements in energy efficiency and computational speed for deep learning applications, potentially impacting fields ranging from image recognition to scientific computing.