We will discuss different applications and techniques to estimate demand for municipal services, with speakers talking about machine perception and satellite images, as well as a brief tutorial on using Alex Krizhevsky's cuda-convnet (https://github.com/dnouri/cuda-convnet).
As usual, we will try to encourage audience participation and interaction as much as possible.
Modeling urban capacity with public data: Realizing universal Pre-K education in New York City by Richard Dunks (http://www.linkedin.com/in/richarddunks)
Neural networks for machine perception by Ilya Sutskever (http://www.linkedin.com/pub/ilya-sutskever/18/786/459)
Estimate building count in satellite images by Roy Hyunjin Han (http://www.linkedin.com/pub/roy-hyunjin-han/12/516/a28/)
Socialize (7:30pm - 7:45pm)
Learn (7:45pm - 8:30pm)
Discuss (8:30pm - 9:00pm)