human-machine interaction
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kids
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wearable computing
entertainment
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history
archives
economy
bioengineering
design
storytelling
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machine learning
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developing countries
prosthetics
interfaces
sensors
social media
human-computer interaction
social robotics
privacy
environment
wellbeing
imaging
space
computer science
civic media
urban planning
synthetic biology
civic technology
affective computing
transportation
communications
energy
computer vision
engineering
augmented reality
ethics
data visualization
neurobiology
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blockchain
banking and finance
biomechanics
3d printing
crowdsourcing
wiesner
prosthetic design
fashion
collective intelligence
systems
cryptocurrency
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open source
makers
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zero gravity
government
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language learning
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public health
nonverbal behavior
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physiology
internet of things
construction
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gesture interface
extended intelligence
long-term interaction
visualization
mapping
social networks
point of care
orthotic design
networking
ecology
ocean
bionics
holography
human augmentation
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neural interfacing and control
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pharmaceuticals
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interactive
climate change
mechanical engineering
autism research
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soft-tissue biomechanics
randomized experiment
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gis
academia
mechatronics
clinical trials
event
materials
natural language processing
voice
civic action
social change
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rfid
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exhibit
Our published research findings listed below share key examples for reducing dependence on specialized medical devices, biological &...
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 ...
The OpenAg™ Food Server is a shipping container-sized, controlled environment agriculture technology that can be built to utilize hydropo...
We have developed a wireless system that leverages the inexpensive RFID tags already on hundreds of billions of products to sense potent...
Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for health conditions. We report an automat...
In our published research findings we describe validation of novel machine learning architectures, with automated learning and prediction...
EngageME: Personalized machine learning and humanoid robots for measuring affect and engagement of children with autismEngageME is a proj...
The OpenAg™ Personal Food Computer is a tabletop-sized, controlled environment agriculture technology platform that uses robotic systems ...
Our social networks influence our sense of what's possible: we can't aspire to be cancer researchers, activists, or artificial intelligen...
A social robot modifies its behavior to change what you think about it!
The problem of ethical decision making presents a grand challenge for modern AI research. Arguably the main obstacle to automating ...
Pharmaceutical clinical development is on the verge of a major revolution due to the convergence of large new data sources, the computing...
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...
The view on Alzheimer’s Disease (AD) diagnosis has shifted towards a more dynamic process in which clinical and pathological markers evol...
Privacy-preserving mHealth application using Open Algorithm (OPAL) architecture to address urgent care challenges in Riyadh, Saudi Arabia.
In this project, we are motivated to address clinical trials issues using Blockchain technology. We propose, OPEN TrialChain, a privacy-p...
Achieving a safe privacy-preserving information sharing environment for individualized care using blockchain-based technology in multiple...
Algorithmic FairnessSociety increasingly relies on machine learning models for automated decision making. Yet, efficiency gains from auto...
Andorra and the City Science research group at the MIT Media Lab are taking on the challenge of turning Andorra into an “Internationally ...
Unconventional mixing of research fields introduces a new method to study human behavior using social robots.
HyperCubes is an augmented reality platform to help children understand computational concepts drawn from their physical surroundings, fr...
An Urban Decision-Support System Augmented by Artificial IntelligenceThe decision-making process in urban design and urban planning is ou...
City Science researchers are developing a slew of tangible and digital platforms dedicated to solving spatial design and urban planning c...
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...
Urban populations around the world are rapidly growing. To improve livability, urban residents must reduce dependency on fossil fuels and...
Swarms of robots will revolutionize many applications, from targeted material delivery to farming. However, the characteristics that make...
Emotional content is an important part of language. There are many use cases now showing that natural language processing is becoming an ...
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...
In the quest towards general artificial intelligence (AI), researchers have explored developing loss functions that act as intrinsic moti...
Could a social robot collaboratively exchange stories with children as a peer and help improve their linguistic and storytelling skills? ...
A learning framework for secure, decentralized, computationally efficient data and model sharing among multiple robot units installed at...
Predicting Urban Performance through Behavioral Patterns in Temporal Telecom DataThis study explores a novel method to analyze diverse be...
Realtime detection of social cues in children’s voicesIn everyday conversation, people use what are known as backchannels to signal to so...
Machine learning model outperforms human judgementOur computational trust model is capable of predicting—above human accuracy—the degree ...
We present Norman, world's first psychopath AI. Norman was inspired by the fact that the data used to teach a machine learning algorithm ...
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 SNAPSHOT study seeks to measure Sleep, Networks, Affect, Performance, Stress, and Health using Objective Techniques. It is an NIH-fun...
BayesDB is open-source AI software that lets any programmer answer data analysis questions in seconds or minutes with a level of rigor th...
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...
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. ...
Have you ever wondered what a friend would do if she was in your decision-making situation? Or thought about where a family mem...
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 (...
Emotion recognition modeled as a goal-directed process!
This project aims to bridge the current gap between controlled-environment agriculture and the computer vision and robotics fields. The i...
We show that using thin slices (< 1 minute) of facial expression and body language data, we can train a deep neural network to predict...
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...
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...
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...
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...
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...