9 events found.
Seminars
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New York Reinforcement Learning Workshop (NYRL)
Join leading researchers from academia and industry for the inaugural NYRL Workshop. Connect, collaborate, and explore the latest advances in reinforcement learning with the vibrant New York metropolitan RL community.
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2025 Sustainable Cities Summit: Day 2
Kimmel Center Room 914, 60 Washington Square South, New York, NY, United StatesWe are proud to support the second annual Sustainable Cities Summit in partnership with Climate Group and NYC Climate Week. This event brings together various experts from multiple organizations to
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NYU Tandon and Verizon present: AI and You
Pfizer Auditorium 5 MetroTech, Brooklyn, NY, United StatesJoin NYU Tandon and Verizon at an event to learn about AI and how it is involved in your everyday lives. Speakers include: Emily Black, Joseph Chow, Rumi Chunara, Emilia
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Author Talk: A Conversation with Michael M. Greenburg
Dibner Library 5 MetroTech, Brooklyn, NY, United StatesThis Thursday is the NYU Press Author Talk with Mr. Michael Greenburg. The book focuses on William LeMessurier, the structural engineer who discovered a fatal flaw in his building’s design
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Seminar: Self-driving Vehicles as Transit in US Settings: Complementing Buses and Trains with Demand-responsive SAVs
ABSTRACT: Shared autonomous vehicles (SAVs) can deliver door-to-door (D2D), first-mile last-mile (FMLM) and dynamic ride-sharing (DRS or pooled-ride) services in many cities today. This 3-part presentation explores potential improvements in
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Seminar: Inverse Learning and Intervention of Transportation Network Equilibrium
C2SMART Center Viz Lab 6 Metrotech Center, Room 460, BrooklynAbstract: By 2035, nearly half of all new vehicles in the United States will be connected, generating unprecedented volumes of mobility data. Leveraging emerging connected mobility data, this talk establishes
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Seminar: AI-empowered Digital Twin for Traffic Safety Analysis
C2SMART Center Viz Lab 6 Metrotech Center, Room 460, BrooklynAbstract: Traffic safety research faces the paradox of rarity—the most critical crashes occur so infrequently that passive methods relying on historical records cannot accurately estimate traffic risks. This talk first