How photonics is revolutionizing convolutional neural networks

To address this escalating need for computing power, researchers have turned to photonics as a means to enhance convolutional neural networks. Why is photonic computing needed for convolutional neural networks? Convolutional neural networks are a class of artificial neural network that have revolutionized various fields, particularly computer vision tasks such as image recognition, object detection, and image segmentation. When convolutional neural networks are made deeper and have more trainable parameters, their performance tends to improve. Integrated photonic convolutional neural networks are a way to speed up the calculations in convolutional neural networks using special optical devices.