Artificial Intelligence

Optical imaging technology forms the foundation of computer vision, enabling computers to understand and interpret digital images and videos. Computer vision systems utilize optical cameras, LiDAR, and other devices to capture visual information, and employ techniques such as image processing, pattern recognition, and deep learning for tasks like object detection, object recognition, and behavior analysis.

Optical sensors play a vital role in artificial intelligence. For instance, photodiodes and phototransistors are optical sensors used to detect light intensity and frequency, facilitating applications such as optical communication and optical scanning.

Optical neural networks leverage the properties of light for parallel computing, offering advantages such as high speed and low energy consumption. By integrating optical components with artificial neural networks, calculations can be performed at the optical signal processing level, thereby accelerating the training and inference processes of neural networks.

Optical computing utilizes optical devices for information processing and computation, featuring strong parallelism and high transmission speeds. Optical computing technologies can be applied to solve complex optimization problems, simulate large-scale systems, and more.

Optical communication technology provides high-speed, high-capacity data transmission, which can be utilized to build distributed artificial intelligence systems and cloud computing platforms. Additionally, optical storage technology offers high-density, high-speed data storage solutions for storing large-scale datasets and model parameters.