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Technical summary: Future of clinical development is on the verge of a major transformation due to convergence of large new digital data ...
Research studies led by Dr. Shah, in collaboration with the United States Food and Drug Administration (FDA), have develo...
Research studies led by Dr. Shah in his laboratory have created new paradigms for using low-cost images captured using simple optica...
General OverviewStaining of tissues sections using chemical and biological dyes has been used for over a century for visualizing various ...
Technical summaryUnstructured learning problems without well-defined rewards are unsuitable for current reinforcement learning (RL) appro...
Parents often select schools by relying on subjective assessments shared by other parents—which are increasingly becoming available on sc...
​Interested in learning more about the Commalla project? Fill out this form!
Swarms of robots will revolutionize many applications, from targeted material delivery to farming. However, the characteristics that make...
Andorra and the City Science research group at the MIT Media Lab are taking on the challenge of turning Andorra into an “Internationally ...
Retrofitting is a technique used to move word vectors closer together or further apart in their space to reflect their relationships in a...
OverviewPAL is a wearable platform for personalized, context-aware, and always-present user change. PAL has mu...
The goal of this project is to develop techniques to remove identifying information from wearable and phone data to protect patients’ pri...
One of the principal benefits of counterfactual explanations is allowing users to explore "what-if" scenarios through what does not and c...
The current system of scientific recognition and funding has significant bias towards work published in the top few percent of journ...
Appropriate and adaptive treatment plans are challenging in Parkinson’s disease for several reasons. parkinsAI models drug response...
Can robots find and grasp hidden objects?Robots are not capable of handling tasks as simple as restocking grocery store shelves as ...
Have you ever wondered what a friend would do if she was in your decision-making situation? Or thought about where a family mem...
In this work, we introduce FedML, an open research library and benchmark that facilitates the development of new 'federated learning algo...
dementAI is an open-source platform for modeling risk stratification of Alzheimer's dementia using spontaneous speech through ...
We propose an improved private count-mean-sketch data structure and show its applicability to differentially private contact tr...
General overview:Sepsis, a life-threatening complication of bacterial infection, leads to millions of worldwide deaths requires significa...
Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for health conditions. We report an automat...
We report a novel method that processes biomarker images collected at the point of care and uses machine learning algorithms to provide a...
Biomarker imaging provides non-invasive indicators of disease and is used by human experts to augment disease diagnosis. It is, however, ...
Dr. Shah was an invited speaker and a contributor at The National Cancer Policy Forum developed workshop series at the The National Acade...
Urban populations around the world are rapidly growing. To improve livability, urban residents must reduce dependency on fossil fuels and...
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...
Split Learning: Distributed deep learning without sharing raw data Project Page: https://splitlearning.github.io/Abstract: ...
We present a stochastic scheme for splitting the client data into privatized shares that are transmitted to the server in such settings. ...
In collaboration with Massachusetts General Hospital, we are conducting a clinical trial exploring objective methods for assessing depres...
We live in a world of personified conversational assistants (agents). We interact with these agents in our daily lives such as smart spea...
Predicting Urban Performance through Behavioral Patterns in Temporal Telecom DataThis study explores a novel method to analyze diverse be...
Algorithmic FairnessSociety increasingly relies on machine learning models for automated decision making. Yet, efficiency gains from auto...
The goal of this project is to apply machine learning methods to model the wellbeing of MIT undergraduate students. Extensive data is obt...
City Science researchers are developing a slew of tangible and digital platforms dedicated to solving spatial design and urban planning c...
The Mediated Atmosphere project envisions a smart office that is capable of dynamically transforming itself to enhance occupants' work ex...
Automatic emotion recognition has become a well-established machine learning task in recent years. The sensitive and subjective nature of...
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...
How do we raise conscientious consumers and designers of AI?Children today live in the age of artificial intelligence. On average, US chi...
Could a social robot collaboratively exchange stories with children as a peer and help improve their linguistic and storytelling skills? ...
​The view on Alzheimer’s Disease (AD) diagnosis has shifted towards a more dynamic process in which clinical and pathological markers evo...
Paper Dreams explores how human creativity can be supported by artificial intelligence.Prior research on AI and creativity has primarily ...
INSPIRE: Intelligence Never Seeks Perfection, Instead Requires Effort.Stories help us expand our sense of what's possible: by hearing fro...
Conversations between two individuals—whether between doctor and patient, mental health therapist and client, or between two people roman...
MoCho (short for "Mobility Choices") is a CityScope module focused on mobility choices and societal impacts. This tool helps pr...
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 Electome: Where AI meets political journalismThe Electome project is a machine-driven mapping and analysis of public sphere content a...
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...
How something is presented can be as important as the message itself.In the age of political polarization and election meddling, it is of...
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...
EngageME: Personalized machine learning and humanoid robots for measuring affect and engagement of children with autismEngageME is a proj...
​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...
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...
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...
The Gender Shades project pilots an intersectional approach to inclusive product testing for AI.Algorithmic Bias PersistsGender Shades is...
This project investigates a general method for improving the structure and quality of sequences generated by a recurrent neural network (...
ShapeBlocks is a play analytics observatory that tracks, remembers, and aids players in building traditional LEGO-style structures. As pl...