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Student Learning Hub: Introduction to Online Recommendation Systems: From Predict-Sort Architecture to Real-Time Feature Service
This session introduces how modern online recommendation systems, like TikTok shop, deliver personalized content in real time. I’ll walk through the overall system architecture and then focus on the predict-sort
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Urban Tech Summit 2025 – Adaptive Intelligence: Activating Urban AI
Verizon Executive Education Center 2 West Loop Road, NYC, NYHear from leading experts on how urban tech can help cities do more with less as they deal with uncertainty and prepare for future shocks. Cornell Tech’s Urban Tech Summit
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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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C2SMART Career Panel
Join us for a Career Panel featuring NYU's Dr. Jingqin Gao & Holly Chase, Suzana Duran of Disney, and Michael Wilson of ARUP. The student-moderated panel will explore career trajectories,
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CUE Distinguished Seminar Series: Simulating the Physical and the Connected: Neural Models for Structures and Networks
C2SMART Center Viz Lab 6 Metrotech Center, Room 460, BrooklynAdvances in machine learning are transforming how we model and design engineered systems, from industrial components to large-scale infrastructure networks. This seminar presents recent developments in physics-based neural networks and
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Student Learning Hub: Building a Scalable Multithreaded Processing System on AWS Cloud
This lecture introduces the design and implementation of a serverless multithreaded processing system using AWS Step Functions, AWS Lambda, and Amazon S3. The session covers how to orchestrate parallel tasks,
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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
