 Machine perception seeks “to enable man-made machines to perceive their environments by sensory means as human and animals do” (Nevatia 1982: 1). Standard cases of machine perception involve computers that are able to recognize speech, faces, or types of objects. Some types of machine perception are simply programmed into the device. For instance, some speech recognition devices (especially older ones) are simply programmed to recognize speech, and do not learn beyond what they have been programmed to do. Other types of machine perception involve “machine learning” where the device learns based on the inputs that it receives, often involving some kind of feedback.