Engineers have 3D printed a physical artificial neural network that can analyze large volumes of data and identify objects at the actual speed of light. Developed at the UCLA Samueli School of Engineering the “diffractive deep neural network” uses the light bouncing from the object itself to identify that object in as little time as…
The post Diffractive Deep Neural Network Identifies Objects at Speed of Light appeared first on The Robot Report.
阅读原文