banking and finance
internet of things
neural interfacing and control
point of care
sports and fitness
natural language processing
Andorra and the City Science research group at the MIT Media Lab are taking on the challenge of turning Andorra into an “Internationally ...
City Science researchers are developing a slew of tangible and digital platforms dedicated to solving spatial design and urban planning c...
Habit change is the future of health care, self-care, and self-change. GoalsCreate an evidence-based and context-aware platform for ...
INSPIRE: Intelligence Never Seeks Perfection, Instead Requires Effort.Stories help us expand our sense of what's possible: by hearing fro...
Urban populations around the world are rapidly growing. To improve livability, urban residents must reduce dependency on fossil fuels and...
Opioid therapy is the cornerstone of management of pain in the ICU. However, opioids present numerous side effects and are highly addicti...
The OpenAg™ Food Server is a shipping container-sized, controlled environment agriculture technology that can be built to utilize hydropo...
Your social media. Your rules.Gobo is an experiment, not a startup. We’re building it to change the conversation on social media and imag...
Our published research findings listed below share key examples for reducing dependence on specialized medical devices, biological &...
We have described validation of novel machine learning architectures for designing faster, safer, and more efficacious digital medicines ...
Dr. Shah was an invited speaker and a contributor at The National Cancer Policy Forum developed workshop series at the The National Acade...
Technical summary: Future of clinical development is on the verge of a major transformation due to convergence of large new digital data ...
MoCho (short for "Mobility Choices") is a CityScope module focused on mobility choices and societal impacts. This tool helps pr...
How do we raise conscientious consumers and designers of AI?Children today live in the age of artificial intelligence. On average, US chi...
The view on Alzheimer’s Disease (AD) diagnosis has shifted towards a more dynamic process in which clinical and pathological markers evo...
How do you image a city that doesn't exist? DeepScope is a novel platform for interactive, real-time, and setup-less urban design vi...
Emotional content is an important part of language. There are many use cases now showing that natural language processing is becoming an ...
This project aims to improve the prediction accuracy of wellbeing (stress, mood, and health levels) using temporal machine learning model...
The SNAPSHOT study seeks to measure Sleep, Networks, Affect, Performance, Stress, and Health using Objective Techniques. It is an NIH-fun...
The OpenAg™ Personal Food Computer is a tabletop-sized, controlled environment agriculture technology platform that uses robotic systems ...
Visualization recommender systems aim to lower the barrier to exploring basic visualizations by automatically generating results for anal...
Machines powered by artificial intelligence (AI) increasingly mediate our social, cultural, economic, and ...
More ocean data has been collected in the last two years than in all previous years combined, and we are on a path to continue to break t...
The Electome: Where AI meets political journalismThe Electome project is a machine-driven mapping and analysis of public sphere content a...
The problem of ethical decision making presents a grand challenge for modern AI research. Arguably the main obstacle to automating ...
The goal of this project is to apply machine learning methods to model the wellbeing of MIT undergraduate students. Extensive data is obt...
In the quest towards general artificial intelligence (AI), researchers have explored developing loss functions that act as intrinsic moti...
The well-known "small-world" phenomenon indicates that an individual can be connected with any other in the world through a limited numbe...
A learning framework for secure, decentralized, computationally efficient data and model sharing among multiple robot units installed at...
Location prediction is a critical building block in many location-based services and transportation management. This project explores the...
Swarms of robots will revolutionize many applications, from targeted material delivery to farming. However, the characteristics that make...
Have you ever wondered what a friend would do if she was in your decision-making situation? Or thought about where a family mem...
How something is presented can be as important as the message itself.In the age of political polarization and election meddling, it is of...
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...
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...
This project aims to bridge the current gap between controlled-environment agriculture and the computer vision and robotics fields. The i...
Predicting Urban Performance through Behavioral Patterns in Temporal Telecom DataThis study explores a novel method to analyze diverse be...
EngageME: Personalized machine learning and humanoid robots for measuring affect and engagement of children with autismEngageME is a proj...
We present Norman, world's first psychopath AI. Norman was inspired by the fact that the data used to teach a machine learning algorithm ...
We have developed a wireless system that leverages the inexpensive RFID tags already on hundreds of billions of products to sense potent...
Algorithmic auditing has emerged as a key strategy to expose systematic biases embedded in software platforms, yet scholarship on the imp...
We show that using thin slices (< 1 minute) of facial expression and body language data, we can train a deep neural network to predict...
Could a social robot collaboratively exchange stories with children as a peer and help improve their linguistic and storytelling skills? ...
Algorithmic FairnessSociety increasingly relies on machine learning models for automated decision making. Yet, efficiency gains from auto...
General overview:Sepsis, a life-threatening complication of bacterial infection, leads to millions of worldwide deaths requires significa...
General OverviewStaining of tissues sections using chemical and biological dyes has been used for over a century for visualizing various ...
Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for health conditions. We report an automat...
Technical summaryUnstructured learning problems without well-defined rewards are unsuitable for current reinforcement learning (RL) appro...
Object Classification through Scattering Media with Deep LearningA method for classifying objects hidden behind a scattering layer w...
An Urban Decision-Support System Augmented by Artificial IntelligenceThe decision-making process in urban design and urban planning is ou...
Biomarker imaging provides non-invasive indicators of disease and is used by human experts to augment disease diagnosis. It is, however, ...
We report a novel method that processes biomarker images collected at the point of care and uses machine learning algorithms to provide a...
The Mediated Atmosphere project envisions a smart office that is capable of dynamically transforming itself to enhance occupants' work ex...
The Storytelling project uses machine-based analytics to identify the qualities of engaging and marketable media. By developing models wi...
Realtime detection of social cues in children’s voicesIn everyday conversation, people use what are known as backchannels to signal to so...
BayesDB is open-source AI software that lets any programmer answer data analysis questions in seconds or minutes with a level of rigor th...
The Gender Shades project pilots an intersectional approach to inclusive product testing for AI.Algorithmic Bias PersistsGender Shades is...
TuringBox is a platform that makes it easier for social and behavioral scientists to study Artificial Intelligence algorithms. ...
Project website: shelley.ai Human-AI collaborated stories: stories.shelley.ai Follow @shelley_ai to collaborate ...
This project investigates a general method for improving the structure and quality of sequences generated by a recurrent neural network (...
Computer vision uncovers predictors of physical urban change
FlipFeed is a Google Chrome Extension that enables Twitter users to replace their own feed with that of another real Twitter user. Powere...
For centuries, across geographies, religions, and cultures, people try to innovate ways of scaring each other. Creating a visceral emotio...
ShapeBlocks is a play analytics observatory that tracks, remembers, and aids players in building traditional LEGO-style structures. As pl...
Consider each of our individual voices as a flashlight to illuminate how we project ourselves in society and how much sonic space we give...