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[Discussion] Discussion of machine learning outside of text/image domains

It seems like a lot of high-impact machine learning research has recently involved work in image or text domains (or perhaps this is mostly what I’m exposed to because I read a lot of deep network papers). Are people here familiar with high-impact work/papers outside of these domains? Do you think the work in these areas is actually less frequent or impactful, or is that perhaps a perceptual bias due to the popularity of things like deep network approaches?

submitted by /u/Trailqul
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.