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TASC Subcommittee Group Update

2016 December 30
by Charles LaPierre and Amaya Webster

Last month the TASC members met for our quarterly meeting where we touched on the topics of speech recognition, emotion detection, virtual reality, drag and drop and the upcoming DIAGRAM Report. Most of the meeting, however, was spent discussing machine learning when Anh Bui, Vice President of Benetech Labs, asked, “if we have a large number of images, is it possible to get to the point where, through machine learning, images that contain math are automatically differentiated from the ones that don’t, and then taken down a path that would have them treated in a way that would make them accessible?” The group was excited at the prospect. Discussion quickly switched from “if” to “how”, with the focus being on how to build a large enough data set and what implementation would look like. If this is a topic you are interested in, make sure to read the next edition of our Digital Digest, where we will be diving deeper into machine learning and its potential uses for accessibility.

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