Getting Started with Android Development

Virtual Event Virtual Event

Instructor: Matthew Maggio, Software Engineer Hands-on exercise: Yes Level: No prior experience required. Schedule:  April 22, 2022 | 1:00 PM – 2:00 PM ET Mobile development can seem overwhelming at first, however Google’s

Data & Driving: Mobileye on Urban Mobility

Virtual 6 MetroTech Center, Brooklyn, NY, United States
Virtual Event Hybrid Event

Bus Stop Chatter is a new series from C2SMART which brings transportation students into conversation with some of today's leading mobility companies to discuss innovation, disruption, and possibility in today's smart cities. In this installment, we will be joined by Laura Fox, General Manager at Lyft's CitiBike program, to discuss the role of shared mobility systems, from bikes to taxis, in driving the evolution of smart cities and urban mobility. Laura will share updates and highlights from Lyft's micromobility programming, and discuss bike safety with C2SMART student Suzana Duran Bernardes, followed by an audience Q&A.

NYCDOT Smart Routing Hackathon

CUNY School of Law 2 Ct Square W, Queens, NY, United States
Virtual Event Hybrid Event

Traffic accidents are among the leading causes of death for people aged 5–35 worldwide, causing transport externalities and thus unsustainability. At the same time, the introduction of almost fully connected and automated vehicles (CAVs) (levels 3–4 of SAE) is already a reality. Although CAVs go in the direction of smart mobility, their sustainability is still questionable because their deployment in open traffic introduces unexplored risks. The seminar will present how virtual reality and simulation are being used as a tool to replace naturalistic observations in the real-world and their pros and cons, in three different research projects on CAVs safety among which is a European Research Council Grant.

Chatting with ChatGPT: Exploring the Advancements in AI Language Models

Virtual 6 MetroTech Center, Brooklyn, NY, United States

Instructor: Fan Zuo, New York University Schedule: Friday March 10, 11:00am-12:00pm Description:  In this course, you will learn about ChatGPT, a state-of-the-art language model developed by OpenAI. You will gain

Unlock the Power of Graph Neural Networks: Understanding the Fundamentals and Knowing When to Implement

Virtual 6 MetroTech Center, Brooklyn, NY, United States

Graph Neural Networks (GNNs) are a powerful tool for analyzing and processing graph-structured data. This course covers the basics of GNNs, including graph convolutional networks, graph attention networks and graph wavelet networks, including how they work and how to implement them. The session aims to provide a solid understanding of GNN modeling for machine learning practitioners, data scientists, and anyone interested in AI advancements.

5th Women in Transportation Panel Discussion and Networking Event

C2SMART Center Viz Lab 6 Metrotech Center, Room 460, Brooklyn
Virtual Event Hybrid Event

The C2SMART Center and the NYU chapter of the Institute of Transportation Engineers (ITE) are excited to host our annual Women in Transportation Panel Discussion, including an opportunity for attendees to network and socialize. This year's panel boasts three amazing women working in the transportation industry who will share their perspectives and experiences.

Unleash Your Creativity with Unity 3D Simulation and Transportation Network Modeling

Virtual 6 MetroTech Center, Brooklyn, NY, United States

In this hands-on course, you’ll learn how to use Unity 3D to build 3D models of road networks. You’ll start with the basics of Unity 3D, including its interface, GameObjects, components, and scripting. From there, you’ll dive into building 3D models of road networks, covering elements such as roads, buildings, and terrain.

Stairway Towards Systematic Review: Utilizing Rayyan Software & PRISMA Guidelines

Virtual 6 MetroTech Center, Brooklyn, NY, United States

This course covers the basics of graph neural networks (GNNs), including graph  convolutional networks, graph attention networks and graph wavelet networks. The  session aims to provide a solid understanding of GNN modeling for machine  learning practitioners, data scientists, and anyone interested in AI advancements.