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TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20270314T030000 RDATE:20271107T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20280312T030000 RDATE:20281105T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20290311T030000 RDATE:20291104T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20300310T030000 RDATE:20301103T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20310309T030000 RDATE:20311102T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20320314T030000 RDATE:20321107T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20330313T030000 RDATE:20331106T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20340312T030000 RDATE:20341105T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20350311T030000 RDATE:20351104T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20360309T030000 RDATE:20361102T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20370308T030000 RDATE:20371101T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:fce3b10b5005a3d70d4a7516b50bd670 CATEGORIES:RuCCS Colloquia:Fall 2019 CREATED:20190919T110439 SUMMARY:"Generative Modeling of Space, Time, and Objects: A First Step to Endowing Common Sense to Machines", Sungjin Ahn (RUTGERS, Assistant Prof., Dept of Comp. Sci.) LOCATION:Busch Campus\, Psych 105 DESCRIPTION:
Abstract: Human intelligence is based on the ability to b uild the model of the world in our brain. Learning such world model is most ly unsupervised or self-supervised process. To obtain human-level gene ral intelligence, an artificial agent should also be able to build the mode l of its environment. However, contemporary AI based on deep learning is la cking this ability and heavily relies on supervised pattern associatio n. As a result, it misses one of the most critical abilities: common sense. In this talk, I present how an artificial agent can build the world model and its structured representation in an unsupervised fashion. In parti cular, I focus on how to model and represent space, time, and objects, the most critical aspects of the physical world. The presented models are based on probabilistic generative latent-variable modeling and thus ca n be used in AI as the engine for future imagination. I also discuss how th is world model can be incorporated to an artificial agent in order to enabl e model-based reinforcement learning
DTSTAMP:20240329T063947 DTSTART;TZID=America/New_York:20191119T130000 DTEND;TZID=America/New_York:20191119T143000 SEQUENCE:0 TRANSP:OPAQUE END:VEVENT END:VCALENDAR