  We review camera architecture in the age of artificial intelligence. Modern
cameras use physical components and software to capture, compress and display
image data. Over the past 5 years, deep learning solutions have become superior
to traditional algorithms for each of these functions. Deep learning enables
10-100x reduction in electrical sensor power per pixel, 10x improvement in
depth of field and dynamic range and 10-100x improvement in image pixel count.
Deep learning enables multiframe and multiaperture solutions that fundamentally
shift the goals of physical camera design. Here we review the state of the art
of deep learning in camera operations and consider the impact of AI on the
physical design of cameras.
