Next Meetup

RC/AI Car prep - WCC Electronics Lab
We hold regular Saturday morning meetings in the electronics and networking lab space at the Washtenaw Community College Technicial and Industrial Building. Come with your 1/10 scale RC car chassis. For new members, we suggest that you invest in hardware for a Donkey Car, We've got access to a variety of connectors, diagnostic equipment and workbench space to help you build out your chassis. We'll be working on aspects of a powered wheelchair project too. Right now Brad Atherton is working with the motors of the chair we have, but soon we'll be adding navigation, sensors and productivity features. And check out Tan Le's Emotiv EEG headset in this video. It's been adapted to powered wheelchair control:

Washtenaw Community College, Technical and Industrial Building, Room TI 145,

4800 East Huron River Drive · Ann Arbor, MI

What we're about

Visit Our Free ONLINE COURSES in IoT and AI at:

About Our Group..
With the rapid progress of artificial intelligence, urbanization and civilization on earth, urban computing is emerging as a concept where every sensor, device, person, vehicle, building, and street in the urban areas can be used as a component to probe city dynamics to further enable city-wide computing for serving people and their cities. Urban computing aims to enhance both human life and urban environment smartly through a recurrent process of sensing, mining, understanding, and improving. Urban computing also aims to deeply understand the nature and sciences behind the phenomenon occurring in urban spaces, using a variety of heterogeneous data sources, such as traffic flows, human mobility, geographic and map data, environment, energy consumption, populations, and economics, etc. Recently, real-world data reflecting city dynamics becomes widely available, including, e.g., users’ mobile phone signal, GPS traces of vehicles and people, ticketing data in public transportation systems, user-generated content (like tweets, micro-blog, check-ins, photos), data from transportation sensor networks (camera and loop sensors) and environment sensor networks (temperature and air quality), as well as data from the Internet of Things. As a result, we are ready to carry out real urban computing activities that lead to better and smarter cities. By better sensing and understanding the city dynamics we are more likely to design effective strategies and intelligent systems for improving urban lives.

We have a lot of courses and information which is available here.. With the redesign of it's hard to find.. It is still available here..

Why is this important ? Read Forrester's Report on Deep Learning..

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