People and computers perceive the world differently, which can lead AI to make mistakes no human would. Researchers are working on how to bring human and AI vision into alignment.
Tech Xplore on MSN
Improving AI models' ability to explain their predictions
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
The team's automated reasoning research aims to build algorithms that allow computers to perform logical reasoning. The output of these algorithms is traditionally binary: satisfiable or unsatisfiable ...
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