Archived
Project Research

GSK Places Initiative

This project is part of a parallel research endeavor with GSK Manufacturing. By simulating how scientists at the Upper Providence site in...
Archived
Archived
Project Research

GSK Manufacturing Initiative

This project is the first of two projects in collaboration with GSK. We are developing a computational simulation that allows a human use...
Archived
Archived
Project Research

CityScope Riyadh

We recently led a workshop in Saudi Arabia, with staff from the Riyadh Development Authority, to test a new version of our CityScope plat...
Archived
Project Research

The Story Learning Machine

The Storytelling project uses machine-based analytics to identify the qualities of engaging and marketable media. By developing models wi...
Post Research

"Bits and Bricks" Wins Best Demo Award at IEEE Future Technologies Conference

Ira Winder and the Tactile Matrix won the award for best demonstration at the IEEE Future Technologies Conference.
Article Research

Black Panther Face Scorecard: Wakandans under the Coded Gaze of AI

A case study implemented by Inioluwa Raji under the guidance of Joy Buolamwini
Project Research

Gender Shades

The Gender Shades project pilots an intersectional approach to inclusive product testing for AI.Algorithmic Bias PersistsGender Shades is...
Article Research

If you’re a darker-skinned woman, this is how often facial-recognition software decides you’re a man

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 r...
Article Research

Even when spotting gender, current face recognition tech works better for white dudes

A new review of face recognition software found that, when identifying gender, the software is most accurate for men with light skin...
Article Research

Joy Buolamwini: How does facial recognition software see skin color?
Article Research

Why facial recognition software has trouble recognizing people of color
Article Research

Study finds gender and skin-type bias in commercial artificial-intelligence systems

Examination of facial-analysis software shows error rate of 0.8 percent for light-skinned men, 34.7 percent for dark-skinned women.
Article Research

Facial recognition software is biased towards white men, researcher finds

New research out of MIT’s Media Lab is underscoring what other experts have reported or at least suspected before: facial recognition tec...
Project Research

Last Mile Logistics

Developed by Ira Winder with the MIT Centre for Transportation and Logistics, the model seeks to use real population data and create a si...
Article Research

MIT creates an AI to predict urban decay

Facebook volunteers and work-at-home moms might be making city planning decisions, thanks to AI research conducted by MIT scientists. Res...
Article Research

Computer vision shows how Brooklyn streets really are changing

Using computer vision to examine Google Street View, the researchers analyzed how streets and blocks have changed in five American cities.
Article Research

Mit Media Lab Uses Machine Learning to Analyze How Neighborhoods Improve

Tested with five American cities, Streetchange quantifies the physical improvement or deterioration of neighborhoods.
Article Research

Why Neighborhoods Get Better: Research Provides Insights That May Surprise You

A recently published paper in the Proceedings of the National Academy of Sciences (PNAS) looks at factors that predict neighborhood change.
Article Research

Why do some neighborhoods improve?

Researchers have used machine learning to quantify the physical improvement or deterioration of neighborhoods in five American cities.
Project Research

Bokode: Imperceptible Visual Tags for Camera-Based Interaction from a Distance

With over a billion people carrying camera-phones worldwide, we have a new opportunity to upgrade the classic bar code to encourage a fle...
Archived
Publication Research

Affective Computing and Intelligent Interaction

Paiva, Prada, W., (Eds.)., 4738, datePaiva, Prada, W., (Eds.)., 4738, datePaiva, Prada, W., (Eds.)., 4738, date