3D printed all-optical diffractive deep neural network created at UCLA

Researchers from UCLA have used a 3D printer to create an artificial neural network able to analyze large volumes of data and identify objects at the speed of light. The system is called a diffractive deep neural network (D2NN). It uses the light scattered by an object to identify the object. UCLA researchers based the system on a deep learning-based … Continue reading