KAIST researchers solved a key challenge in the commercialization of physical AI by developing a new technology that enables AI to learn human judgment criteria on its own from just a few videos.
Professor Chang D. Yoo from the School of Electrical Engineering developed VOTP (Video-based Optimal TransPort Preference), a new technology that allows AI to learn human intentions and judgment criteria using just a few preference videos instead of thousands to tens of thousands of human evaluation data points.
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