Science Magazine February 23, 2018
Researchers in Belgium have developed a machine learning a neural network algorithm. During training, software assesses its performance after each attempt, and feedback circulates through the millions of network connections to refine future computations. The first stage uses the text to create a “gist” of the video, the second stage takes both the gist and the text and produces a short video. During training, a second network acts as a “discriminator.” As it gets better, it becomes a harsher critic, and its feedback sets a higher bar for the generator network. Currently, the videos are only 32 frames long—lasting about 1 second, 64 by 64 pixels. Anything larger reduces accuracy. Programs that deeply understand the visual world could spin off useful applications in everything from refereeing to surveillance… read more.
Artificial intelligence is moving into movie production. ShareGrid/Unsplash