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asl
A.I. systems are shaped by the priorities and prejudices…of the people who design them, a phenomenon that I refer to as "the coded gaze."
This project depicts the design, deployment and operation of a Tangible Regulation Platform, a physical-technological apparatus made for th…
This is an open source geospatial exploration tool. Using various public APIs including Open Street Map and the United States Census, we ca…
MIT researchers have developed a system that can produce images of objects shrouded by fog so thick that human vision can’t penetrate it.
Seeing through dense, dynamic, and heterogeneous fog conditions. The technique, based on visible light, uses hardware that is similar to LI…
This project focused on pedestrian accessibility in collaboration with Singapore Centre for Liveable Cities. Researchers and planners came …
This project is part of a parallel research endeavor with GSK Manufacturing. By simulating how scientists at the Upper Providence site inte…
This project is the first of two projects in collaboration with GSK. We are developing a computational simulation that allows a human user …
We recently led a workshop in Saudi Arabia, with staff from the Riyadh Development Authority, to test a new version of our CityScope platfo…
The Storytelling project uses machine-based analytics to identify the qualities of engaging and marketable media. By developing models with…
Ira Winder and the Tactile Matrix won the award for best demonstration at the IEEE Future Technologies Conference.
A case study implemented by Inioluwa Raji under the guidance of Joy Buolamwini
All people are created equal, but in the eyes of the algorithm, not all faces are just yet.A new study from MIT and Microsoft res…
A new review of face recognition software found that, when identifying gender, the software is most accurate for men with light skin&n…
Examination of facial-analysis software shows error rate of 0.8 percent for light-skinned men, 34.7 percent for dark-skinned women.
New research out of MIT’s Media Lab is underscoring what other experts have reported or at least suspected before: facial recognition techn…
Developed by Ira Winder with the MIT Centre for Transportation and Logistics, the model seeks to use real population data and create a simu…
Facebook volunteers and work-at-home moms might be making city planning decisions, thanks to AI research conducted by MIT scientists. Resea…
Using computer vision to examine Google Street View, the researchers analyzed how streets and blocks have changed in five American cities.
Tested with five American cities, Streetchange quantifies the physical improvement or deterioration of neighborhoods.
A recently published paper in the Proceedings of the National Academy of Sciences (PNAS) looks at factors that predict neighborhood change.
Researchers have used machine learning to quantify the physical improvement or deterioration of neighborhoods in five American cities.
With over a billion people carrying camera-phones worldwide, we have a new opportunity to upgrade the classic bar code to encourage a flexi…
Paiva, Prada, W., (Eds.)., 4738, datePaiva, Prada, W., (Eds.)., 4738, datePaiva, Prada, W., (Eds.)., 4738, date