• Search Search
  • User Login
  • Nav Nav
Search
  • News + Updates
  • Research
  • About
  • Graduate Program
  • People
  • Events
  • Videos
  • Member Portal
We are an interdisciplinary research lab working to invent the future of
  • health

  • art

  • human-machine interaction

  • learning

  • artificial intelligence

  • robotics

  • architecture

  • design

  • technology

  • consumer electronics

  • kids

  • music

  • wearable computing

  • networks

  • politics

  • bioengineering

  • entertainment

  • cognition

  • economy

  • human-computer interaction

  • data

  • machine learning

  • history

  • archives

  • social science

  • storytelling

  • sensors

  • interfaces

  • wellbeing

  • space

  • environment

  • covid19

  • computer science

  • developing countries

  • prosthetics

  • engineering

  • privacy

  • social robotics

  • ethics

  • civic technology

  • social media

  • civic media

  • imaging

  • public health

  • communications

  • synthetic biology

  • urban planning

  • augmented reality

  • neurobiology

  • biology

  • affective computing

  • virtual reality

  • computer vision

  • transportation

  • community

  • industry

  • energy

  • biomechanics

  • data visualization

  • social change

  • food

  • alumni

  • government

  • biotechnology

  • zero gravity

  • ocean

  • 3d printing

  • creativity

  • racial justice

  • medicine

  • agriculture

  • blockchain

  • genetics

  • manufacturing

  • data science

  • gaming

  • prosthetic design

  • women

  • behavioral science

  • construction

  • fashion

  • materials

  • social networks

  • banking and finance

  • open source

  • systems

  • cryptocurrency

  • security

  • crowdsourcing

  • climate change

  • diversity

  • collective intelligence

  • fabrication

  • makers

  • wiesner

  • language learning

  • cognitive science

  • internet of things

  • bionics

  • extended intelligence

  • performance

  • neural interfacing and control

  • perception

  • human augmentation

  • startup

  • interactive

  • autonomous vehicles

  • natural language processing

  • ecology

  • civic action

  • marginalized communities

  • nonverbal behavior

  • mapping

  • physiology

  • visualization

  • clinical science

  • physics

  • holography

  • long-term interaction

  • gesture interface

  • microfabrication

  • mechanical engineering

  • networking

  • trust

  • point of care

  • orthotic design

  • water

  • sports and fitness

  • autism research

  • primary healthcare

  • electrical engineering

  • voice

  • microbiology

  • hacking

  • member company

  • pharmaceuticals

  • rfid

  • nanoscience

  • clinical trials

  • mechatronics

  • trade

  • academia

  • member event

  • open access

  • gender studies

  • soft-tissue biomechanics

  • code

  • chemistry

  • real estate

  • randomized experiment

  • publishing

  • biomedical imaging

  • gis

  • event

  • exhibit

  • cartography

  • metamaterials

  • installation

  • Groups
  • Projects
  • Publications
  • Centers
  • Initiatives
More Close
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...

in City Science
Nina Lutz · J. Ira Winder +1 more
#computer vision #augmented reality #open source +1 more
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...

in City Science
J. Ira Winder · Nina Lutz +1 more
#computer vision #augmented reality #open source +1 more
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...

in City Science
J. Ira Winder · Mohammad Hadhrawi +1 more
#computer vision #augmented reality #open source +1 more
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...

in Social Machines
Eric Chu · Deb Roy +3 more
#computer vision #artificial intelligence #entertainment +3 more
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.

Dec. 2, 2017
in City Science
#computer vision #augmented reality #open source +1 more
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

via Medium · May 13, 2018
in Center for Civic Media · Civic Media
#computer vision #artificial intelligence #civic media
Project Research

Gender Shades

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

in Civic Media · Center for Civic Media
#design #computer vision #art +16 more
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...

via Quartz · Feb. 13, 2018
in Center for Civic Media · Civic Media
#computer vision #artificial intelligence #civic media +2 more
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...

via Gizmodo · Feb. 12, 2018
in Center for Civic Media · Civic Media
#computer vision #artificial intelligence #civic media +3 more
Article Research

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

via TED Radio Hour · Jan. 26, 2018
in Center for Civic Media · Civic Media
#computer vision #artificial intelligence #civic media +2 more
Article Research

Why facial recognition software has trouble recognizing people of color

via Marketplace · Feb. 13, 2018
in Center for Civic Media · Civic Media
#computer vision #artificial intelligence #civic media +2 more
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.

via MIT News · Feb. 12, 2018
in Center for Civic Media · Civic Media
#computer vision #artificial intelligence #civic media +3 more
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...

via The Verge · Feb. 11, 2018
in Center for Civic Media · Civic Media
#computer vision #artificial intelligence #civic media +4 more
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...

in City Science
Kent Larson · J. Ira Winder
#computer vision #architecture #augmented reality +7 more
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...

via The Next Web · July 14, 2017
in Camera Culture · Collective Learning
#computer vision #civic technology #urban planning +1 more
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.

via Technical.ly Brooklyn · July 10, 2017
in Camera Culture · Collective Learning
#computer vision #civic technology #urban planning +1 more
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.

via Digital Trends · July 13, 2017
in Camera Culture · Collective Learning
#computer vision #civic technology #urban planning +1 more
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.

via Forbes · July 13, 2017
in Camera Culture · Collective Learning
#computer vision #civic technology #urban planning +1 more
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.

via MIT News · July 6, 2017
in Camera Culture · Collective Learning
#computer vision #civic technology #urban planning +1 more
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...

in Camera Culture
Ramesh Raskar · Nikhil Naik
#computer vision #sensors #imaging +1 more
Archived
Publication Research

Affective Computing and Intelligent Interaction

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

#user modeling #feature selection #social response +27 more

  • News + Updates
  • Research
  • About
  • Graduate Program
  • People
  • Events
  • Videos
  • Member Portal

More ways to explore

  • Videos
  • Publications
  • Job Opportunities
  • Contact

Massachusetts Institute of Technology
School of Architecture + Planning

Accessibility
Donate to the Lab