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.

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.

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 and his research group

Memming Park (far left standing) and members of his research group and coma project team