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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: \n \nAbstract: Hu man intelligence is based on the ability to build the model of the world in our brain. Learning such world model is mostly unsupervised or self-superv ised process. To obtain human-level general intelligence, an artificial age nt should also be able to build the model of its environment. However, cont emporary AI based on deep learning is lacking this ability and heavily reli es on supervised pattern association. As a result, it misses one of the mos t critical abilities: common sense. In this talk, I present how an artifici al agent can build the world model and its structured representation in an unsupervised fashion. In particular, 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 can be used in AI as the engine for future imagination. I also discuss how this world model can be incorporated to an artificial age nt in order to enable model-based reinforcement learning\n \n X-ALT-DESC;FMTTYPE=text/html:
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:20240328T224743 DTSTART;TZID=America/New_York:20191119T130000 DTEND;TZID=America/New_York:20191119T143000 SEQUENCE:0 TRANSP:OPAQUE END:VEVENT END:VCALENDAR