Aydogan discusses the innovative intersection of optics and deep learning through the creation of optical neural networks. These networks utilize diffraction to process light, mimicking traditional neural networks but with a passive optical system designed via deep learning principles. The fascinating approach allows for classification tasks, such as recognizing handwritten digits, by guiding light through optimized layers that act like neurons.
