In-Memory Content Classification and Control

Systems, methods and apparatuses to classify and/or control content passing through a memory device. For example, a portion of a media stream received from a content source can be buffered in a memory device a predetermined time before presentation. An artificial neural network (ANN) in the memory device can identify a region in the buffered portion and analyze the region to determine a classification of content in the region. Within the memory device, the content in the region can be transformed according to a preference specified for the classification. For example, unwanted or objectionable content can be masked, distorted, skipped, replaced, and/or filtered. A modified version of the portion is generated from transforming the content in the region as output for presentation.