MIT Deep Learning Algorithm Passes an Important First Test

MIT developed a deep learning algorithm capable of assessing physical interactions in videos and the sounds resulting from those interactions. The algorithm was then fed muted video clips of a drumstick hitting various objects and instructed to produce sound effects appropriate for each video. But the visual Turing Test is just one component of fully passing the Turing Test. MIT is currently developing an algorithm for passing the visual Turing Test, which is great for the machine learning community and is definitely a step towards having machines understand the consequences of interacting with different environments.