A critical next step in AI system development is applying common-sense knowledge to infer and react to a situation as a human would. When people communicate with each other, they don’t need to explicitly say everything about a situation to decide what an appropriate action would be. Humans can understand what is inferred, even when details are left out. Stony Brook researchers are leading a collaborative project to teach AI systems to make such interpretations.
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Stony Brook Department of Computer Science Professor Xiaojun Bi and his collaborators won Best Paper at ACM Symposium on User Interface Software and Technology (UIST 2019) a premier conference in the technical Human Computer Interaction community. The award-winning paper, entitled TipText: Eyes-Free Text Entry on a Fingertip Keyboard, covers their invention of this new text entry system. Only one percent of submissions to UIST 2019 were selected to receive Best Paper awards. |
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I. Memming Park, Stony Brook’s 2019 Discovery Prize winner, built his first artificial neural network when he was in middle school. That long-held interest in how the brain works influenced his award-winning research titled, “Personalized Landscape of Unconsciousness.”
Memming Park (far left standing) and members of his research group and coma project team |
