MIT ups the ante in getting one AI to teach another ZDNet

Computers have gotten so good at recognizing images via machine learning, why not use that ability to teach the computer other things? That's the spirit of a new bit of research by Massachusetts Institute of Technology, which hooked up natural language processing to image recognition. MIT coordinated the activity of two machine learning systems, one for image recognition and another for speech parsing. Simultaneously, the image network learned to pick out the exact place in a picture where an object is, and the speech network picked out the exact moment in a sentence containing a word for that object in the picture. The two networks learned together, reinforcing one another until they converged on a joint answer that represents the union of the location of the object and the moment of the spoken word.