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Image recognition

A new study by Guenevere Chen, an assistant professor in the UTSA Department of Electrical and Computer Engineering, and her former doctoral student, Qi Xia, reveals an oversight in AI image recognition tools. The researchers identified and exploited an alpha channel attack on images by developing AlphaDog.

Researchers Uncover Critical Flaw in AI Image Recognition Tools

Categories Physics & Mathematics, Technology
Of these two images labeled “get water”, the image on from the poorer household on the left (monthly income $39) received a lower CLIP score (0.21) compared to the image form the wealthier household on the right (monthly income $751; CLIP score 0.25). Image credit: Dollar Street, The Gapminder Foundation

Biases in large image-text AI model favor wealthier, Western perspectives

Categories Social Sciences, Technology
MIT neuroscientists have found that computational models of hearing and vision can build up their own idiosyncratic “invariances” — meaning that they respond the same way to stimuli with very different features.

Study: Deep neural networks don’t see the world the way we do

Categories Brain & Behavior, Technology

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