banking and finance
internet of things
sports and fitness
Creating scalable technologies that evolve with user inventiveness
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 ...
Looking beyond smart cities
Building socially engaging robots and interactive technologies to help people live healthier lives, connect with others, and learn better
Reimagining human cooperation in the age of social media and artificial intelligence
This course will pursue a cross-disciplinary investigation of the development and deployment of the opaque complex adaptive systems that ...
Take control of your social feed.Gobo is a social media aggregator with filters you control. You can use Gobo to control what’s edited ou...
Making the invisible visible–inside our bodies, around us, and beyond–for health, work, and connection
Open Agriculture Initiative (OpenAg)
Creating technology for social change
CityMatrix is an urban decision support system augmented by artificial intelligence.
Advancing wellbeing using new ways to communicate, understand, and respond to emotion
“Shelley” is an artificial intelligence bot who writes stories inspired by a subreddit of aspiring horror writers.
Project website: shelley.aiHuman-AI collaborated stories: stories.shelley.aiFollow @shelley_ai to collaborate with Shelley...
Sometimes the scariest place to be is your own mind. Or Reddit at night.Shelley is an AI program that generates the beginnings of horror ...
Shelley's artificial neural network takes turns with humans in collaborative storytelling.
Transforming data into knowledge
With its increasingly humanlike design, artificial intelligence gives many people the creeps—though usually not intentionally. But a new ...
An artificial intelligence is creating worlds where possessed dolls and other creatures chase after frightened, helpless h...
With Shelley, the world’s first artificial intelligence-human horror story collaboration, MIT researchers aim for goosebumps.
Introducing Shelley: the world’s first AI-human horror story collaboration
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...
This project investigates a general method for improving the structure and quality of sequences generated by a recurrent neural network (...
Jaquesn, N., Gu, S., Turner, R., and Eck, D. International Conference on Learning Representations (ICLR) workshop, Toulon, France, April 2017
Vast regions of the world are unmapped by commercial services, and communities living there are digitally invisible. Visible Communities...
A social robot modifies its behavior to change what you think about it!
Emotion recognition modeled as a goal-directed process!
Jaques, N., Taylor, S., Nosakhare, E., Sano, A., Picard, R. In Proc. NIPS Workshop on ML in Health, Barcelona, Spain, December 2016.
Jin Joo Lee. Modeling the Dynamics of Nonverbal Behavior on Interpersonal Trust for Human-Robot Interactions. Masters Thesis, Massachusetts Institute of Technology, 2011.
JJ Lee, WB Knox, JB Wormwood, C Breazeal, D DeSteno (2013). Computationally Modeling Interpersonal Trust. Frontiers in Psychology.
Machine learning model outperforms human judgement!
Jin Joo Lee. A Bayesian Theory of Mind Approach to Nonverbal Communication for Human-Robot Interactions.
PhD Thesis, Massachusetts Institute of Technology, 2017.
Realtime detection of social cues in children’s voices!
Unconventional mixing of research fields introduces a new method to study human behavior using social robots.
Collecting real world data to understand social interactions!
Jaques, N., Taylor, S., Sano, A., and Picard, R. International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, Texas, October 2017
Jaques, N., Rudovic, O., Taylor, S., Sano, A., and Picard, R. Proceedings of Machine Learning Research, 48, 17-33. August 2017.
Tan, Flora. Algorithmically Supported Moderation in Children’s Online Communities. Thesis. Massachusetts Institute of Technology, 2017.
The problem of ethical decision making presents a grand challenge for modern AI research. Arguably the main obstacle to automating ...
Emotional content is an important part of language. There are many use cases now showing that natural language processing is becoming an ...
The OpenAg™ Food Server is a shipping container-sized, controlled environment agriculture technology that can be built to utilize hydropo...
The OpenAg™ Personal Food Computer is a tabletop-sized, controlled environment agriculture technology platform that uses robotic systems ...
Ritesh Noothigattu, Snehalkumar 'Neil' S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia
This project aims to bridge the current gap between controlled-environment agriculture and the computer vision and robotics fields. The i...
Media Lab researchers win three of six categories in inaugural contest.
Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion
Understanding and empowering human networks
An interface for smashing filter bubbles, Panorama is built to allow open, transparent, and collaborative exploration of news from a...
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)
Can social robots collaboratively exchange stories with children as a peer and help improve their linguistic and storytelling skills? Teg...
We show that using thin slices (< 1 minute) of facial expression and body language data, we can train a deep neural network to predict...
Ethics and Governance of Artificial Intelligence
Engineering at the limits of complexity with molecular-scale parts
“The idea is that we’re trying to democratize climate."
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.
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.