Beyond the energy efficiency for large AI models, I will also discuss another advantage of optical computing: the ability to process optical data directly in the optical domain. I will provide an example of using a nonlinear photonic neural network for image sensing applications, achieving an 800-fold image compression ratio to bypass the optoelectronic conversion bottleneck. Finally, I will offer an outlook on how optical processing techniques can enhance imaging and sensing efficiency, particularly for quantum light.