Researchers are exploring the development of neuromorphic photonic computing systems, which utilize electro-optic analog memory and other technologies to enhance processing capabilities. These systems appear to involve the use of various materials and components, including lithium niobate and silicon photonic circuits, to achieve high-speed and energy-efficient computing. The technology is being investigated for applications in areas such as deep learning and neural network processing.