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Researchers found that vision-language models, widely used to analyze medical images, do not understand negation words like 'no' and 'not.' This could cause them to fail unexpectedly when asked to ...
Our recent study examined whether front-of-pack food labels could help Kenyan consumers make better choices. We tested three ...
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Tech Xplore on MSNResearchers secretly used AI bots to study how AI can influence human opinionRecently, it emerged that a team of researchers at the University of Zurich had conducted a study to manipulate Reddit users ...
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Tech Xplore on MSNVision-language models can't handle queries with negation words, study showsImagine a radiologist examining a chest X-ray from a new patient. She notices the patient has swelling in the tissue but does ...
Their access to CalFresh sharply drops during the summer and fall after high school graduation as students move out, start ...
In a national survey of 501 college students, researchers at the University of Texas at Austin found that more than 40 ...
Researchers from the University of Texas at Austin estimated that as many as 43 percent of college students have some form of ...
A University of Idaho graduate student recalled an alleged “awkward” conversation and “peculiar” subsequent text she received ...
An engaging end-of-the-year project allows students to display their work in a digital setting and share it with authentic ...
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Live Science on MSNAI models can't tell time or read a calendar, study revealsChallenges in visual and spatial processing and a deficit in training data have revealed a surprising lack of timekeeping ...
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Dexerto on MSNViral study reveals most “emotionally triggering” text messageA new study revealed the most “emotionally triggering” text message you could receive, and the result has gone viral on ...
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