In today’s digital age, computational tasks have become increasingly complex. This, in turn, has led to an exponential growth in the power consumed by digital computers. Thus, it is necessary to develop hardware resources that can perform large-scale computing in a fast and energy-efficient way.
Click here for original story, Deep learning-designed diffractive processor computes hundreds of transformations in parallel
Source: Phys.org