banking and finance
internet of things
sports and fitness
Creating technology for social change
Open Agriculture Initiative (OpenAg)
Can social robots collaboratively exchange stories with children as a peer and help improve their linguistic and storytelling skills? Teg...
Ethics and Governance of Artificial Intelligence
Reimagining the way society organizes, cooperates, and governs itself
Engineering at the limits of complexity with molecular-scale parts
Understanding and empowering human networks
Emotional content is an important part of language. There are many use cases now that natural language processing is becoming an increasi...
Advancing wellbeing using new ways to communicate, understand, and respond to emotion
Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion
Creating scalable technologies that evolve with user inventiveness
Building socially engaging robots and interactive technologies to help people live healthier lives, connect with others, and learn better
Making the invisible visible–inside our bodies, around us, and beyond–for health, work, and connection
“The idea is that we’re trying to democratize climate."
OpenAg is committed to changing the way the world thinks about farming and food—and we need your help! As an open source project, we beli...
The OpenAg™ Personal Food Computer is a tabletop-sized, controlled environment agriculture technology platform that uses robotic systems ...
Facebook volunteers and work-at-home moms might be making city planning decisions, thanks to AI research conducted by MIT scientists. Res...
Object Classification through Scattering Media with Deep LearningA method for classifying objects hidden behind a scattering layer w...
BayesDB is open-source AI software that lets any programmer answer data analysis questions in seconds or minutes with a level of rigor th...
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.
Guy Satat, Matthew Tancik, Otkrist Gupta, Barmak Heshmat, and Ramesh Raskar, "Object classification through scattering media with deep learning on time resolved measurement," Opt. Express 25, 17466-17479 (2017)
Social robots take an active role in the inference process by producing social cues to elicit nonverbal responses from children to better...
Researchers have used machine learning to quantify the physical improvement or deterioration of neighborhoods in five American cities.
Computer vision uncovers predictors of physical urban change
Technological advances in the past decade have allowed us to take a close look at the proteomes of living organisms. As a result, more th...
Apple CEO Tim Cook meets with head of the Affective Computing group Rosalind Picard
What do children think about machines that think?
Creating “swappable identities” for a bot, allowing a user to pose questions to an assortment of AI personae.
Have you ever wondered what would a friend do if she was in your decision-making situation? Or thought about where a family member might ...
Transforming data into knowledge
This project aims to bridge the current gap between controlled-environment agriculture and the computer vision and robotics fields. The i...
Vast regions of the world are unmapped by commercial services, and communities living there are digitally invisible. Visible Communities...
Machine Learning and Humanoid Robots for Measuring Engagement of Children with AutismEngageME is a project aimed at building a new techno...
The well-known "small-world" phenomenon indicates that an individual can be connected with any other in the world through a limited numbe...
The Electome: Where AI Meets Political JournalismThe Electome project is a machine-driven mapping and analysis of public sphere content a...
This project aims to show a different picture of the data behind the news, looking at how we analyze, represent, and interact with it.&nb...
The OpenAg™ Food Data Center will be the industrial-scale version of the Food Computer. These warehouse-sized units may one day serve as ...
The OpenAg™ Food Server is a shipping container-sized, controlled environment agriculture technology that can be built to utilize hydropo...
FlipFeed is a Google Chrome Extension that enables Twitter users to replace their own feed with that of another real Twitter user. Powere...
The Storytelling project uses machine-based analytics to identify the qualities of engaging and marketable media. By developing models wi...
For centuries, across geographies, religions, and cultures, people try to innovate ways of scaring each other. Creating a visceral emotio...
The goal of this project is to apply machine learning methods to model the wellbeing of MIT undergraduate students. Extensive data is obt...
ShapeBlocks is a play analytics observatory that tracks, remembers, and aids players in building traditional LEGO-style structures. As pl...
We show that using thin slices (< 1 minute) of facial expression and body language data, we can train a deep neural network to predict...
Location prediction is a critical building block in many location-based services and transportation management. This project explores the...
Consider each of our individual voices as a flashlight to illuminate how we project ourselves in society and how much sonic space we give...
The heatmap below can be used by an intelligent virtual agent to synthesize appropriate facial expressions during a conversation. The fig...