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EyeQuant is a startup which isn’t too unusual in the fact that it deals with machine learning and artificial intelligence and has big-name clients like Google and Spotify. But the company’s current fascination—using machine learning to train their AI to recognize bad aesthetics and poor website design—takes it into uncharted waters. “We use machine learning and computational neuroscience to build predictive models of how humans look at web ites,” founder Fabian Stelzer told Co.Labs. “We focused on attention before but we are now branching out to more general things like why people prefer one image instead of another or what are the factors that drive trustworthiness of image.” And he’s betting that machines can be trained to detect web pages that most of us think are ugly.
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EyeQuant is a startup which isn’t too unusual in the fact that it deals with machine learning and artificial intelligence and has big-name clients like Google and Spotify. But the company’s current fascination—using machine learning to train their AI to recognize bad aesthetics and poor website design—takes it into uncharted waters. “We use machine learning and computational neuroscience to build predictive models of how humans look at web ites,” founder Fabian Stelzer told Co.Labs. “We focused on attention before but we are now branching out to more general things like why people prefer one image instead of another or what are the factors that drive trustworthiness of image.” And he’s betting that machines can be trained to detect web pages that most of us think are ugly.

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