Abstract: Systems and methods are provided for creating authentic baseline data from high-resolution and high-definition audio and video data and for using the authentic baseline data to determine if an unknown video is real or fake. A method, according to one implementation, includes examining a questionable video of a prominent individual, wherein the questionable video shows the prominent individual speaking. The method also includes detecting speech characteristics of the prominent individual from the questionable video and detecting bodily movements of the prominent individual from the questionable video while the prominent individual is speaking. Furthermore, the method includes comparing the detected speech characteristics and detected bodily movements with reliable baseline characteristics that are certified as authentic. Based on the comparing step, the method also includes tagging the questionable video as fake or real.

Abstract: A network switch divides incoming frame data into cells. Each of the cells include a source identification field. Depending upon bandwidth availability and upon cell priority, the cells are transmitted over a switch bus. The cells are then routed based upon the source identification field. The network switch determines bandwidth usage by monitoring the switch bus. Upon detection of a start-of-frame cell, the network switch increments a bandwidth counter. Upon detection of an end-of-frame cell, the network switch adds an entry to a decrement FIFO. After a switch bus latency period, the network switch removes the entry from the decrement FIFO and decrements the bandwidth counter.