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Fluid Interfaces

Designing Systems for Cognitive Support
Project Research

AttentivU

There are currently  UROP openings for this project. AttentivU is  a  device, in the  form factor of a pair of gla…
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Space Enabled

Advancing justice in Earth's complex systems using designs enabled by space
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Affective Computing

Advancing human wellbeing by developing new ways to communicate, understand, and respond to emotion
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Opera of the Future

Extending expression, learning, and health through innovations in musical composition, performance, and participation
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Tangible Media

Seamlessly coupling the worlds of bits and atoms by giving dynamic physical form to digital information and computation
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Sculpting Evolution

Cultivating wisdom through evolutionary and ecological engineering
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MIT Center for Constructive Communication

MIT Center for Constructive Communication
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Social Machines

Promoting deeper learning and understanding in human networks
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Personal Robots

Building intelligent personified technologies that collaborate with people to help them learn, thrive, and flourish.
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Viral Communications

Creating scalable technologies that evolve with user inventiveness
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Signal Kinetics

Inventing, building, and deploying wireless sensor technologies to address complex problems in society, industry, and ecology
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Responsive Environments

Augmenting and mediating human experience, interaction, and perception with sensor networks
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Poetic Justice

Exploring new forms of social justice through art
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Molecular Machines

Engineering at the limits of complexity with molecular-scale parts
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Future Sketches

Exploring the essence of code as a creative medium
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City Science

Looking beyond smart cities
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Camera Culture

Making the invisible visible–inside our bodies, around us, and beyond–for health, work, and connection
Article Research

Robot overcomes uncertainty to retrieve buried objects

This robotic system uses radio frequency signals, computer vision, and complex reasoning to efficiently find items hidden under a pile.
Post Research

Data-driven Humanitarian Mapping and Policymaking, 1st Worksop at the ACM SIGKDD 2020

Neil Gaikwad from the Space Enabled research group is co-organizing the KDD Workshop on Humanitarian Mapping.
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Scalable Cooperation

Reimagining human cooperation in the age of social media and artificial intelligence
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Collective Learning

Transforming data into knowledge
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Open Ocean

Open Ocean
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Open Agriculture (OpenAg)

Open Agriculture Initiative (OpenAg)
Center for Civic Media
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Civic Media

Creating technology for social change
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Object-Based Media

Changing storytelling, communication, and everyday life through sensing, understanding, and new interface technologies
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3DKnITS: Three-dimensional Knitted Intelligent Textile Sensor

Three-dimensional Digital Knitting of Intelligent Textile Sensor for Activity Recognition and Biomechanical MonitoringWe present an ap…
Article Research

Smart textiles sense how their users are moving

Researchers develop a comfortable, form-fitting fabric that recognizes its wearer’s activities, like walking, running, and jumping.
Article Research

Making art through computation

Master’s student Chelsi Cocking combines her love for computer science and design in her research and outreach efforts at the Media Lab.
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Project Research

Big Ocean, Big Data

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 tha…
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Post Research

Neil Gaikwad recognized by MIT and University of Chicago

Named Human Rights & Technology Fellow by MIT Center for International Studies, and a Rising Star by UChicago Center for Data & Computing.
Article Research

Butlr's people-sensing platform is designed as Google Analytics for buildings

In Dezeen, learn more about Butlr, a spinoff co-founded by former Labbers Honghao Deng and Jiani Zeng.
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RetroGAN

Retrofitting is a technique used to move word vectors closer together or further apart in their space to reflect their relationships in a K…
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Actionable Auditing: Coordinated bias disclosure study

Algorithmic auditing has emerged as a key strategy to expose systematic biases embedded in software platforms, yet scholarship on the impac…
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Gender Shades

The Gender Shades project pilots an intersectional approach to inclusive product testing for AI.Algorithmic Bias PersistsGender Shades is a…
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Gobo

Your social media. Your rules.Gobo is an experiment, not a startup. We’re building it to change the conversation on social media and imagin…
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3 Voices: A Soft-Robotic Opera Transposing Singing Experience Across the Audience

3 Voices is an artistic research project that looks beyond conventional approaches of listening to music, and instead probes at the deeper …
Article Research

MIT Integrated Learning Initiative project focuses on focus

AttentivU smart glasses designed to help wearers tune into a task and tune out the world.
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Project Research

Migratable AI

We live in a world of personified conversational assistants (agents). We interact with these agents in our daily lives such as smart speake…
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DISSECT: Disentangled Simultaneous Explanationsvia Concept Traversals

One of the principal benefits of counterfactual explanations is allowing users to explore "what-if" scenarios through what does not and can…
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UncNet: Modeling uncertainty in deep learning for inherently subjective tasks

Automatic emotion recognition has become a well-established machine learning task in recent years. The sensitive and subjective nature of e…
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Learning via Social Awareness: Improving sketch representations with facial feedback

In the quest towards general artificial intelligence (AI), researchers have explored developing loss functions that act as intrinsic motiva…
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Personalized Machine Learning for Future Health

​The view on Alzheimer’s Disease (AD) diagnosis has shifted towards a more dynamic process in which clinical and pathological markers evolv…
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Improving RNN Sequence Generation with RL

This project investigates a general method for improving the structure and quality of sequences generated by a recurrent neural network (RN…
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Behavioral Indications of Depression Severity

In collaboration with Massachusetts General Hospital, we are conducting a clinical trial exploring objective methods for assessing depressi…
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Predicting Bonding in Conversations

We show that using thin slices (< 1 minute) of facial expression and body language data, we can train a deep neural network to predict w…
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Personalized Machine Learning for Autism Therapy

EngageME: Personalized machine learning and humanoid robots for measuring affect and engagement of children with autismEngageME is a projec…
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Predicting students' wellbeing from physiology, phone, mobility, and behavioral data

The goal of this project is to apply machine learning methods to model the wellbeing of MIT undergraduate students. Extensive data is obtai…
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Project Research

Research Area | Application, Interpretability and Clinical Translation of Deep Learning Algorithms for Medical Images

Research studies led by Dr. Shah in his laboratory have created new paradigms for using low-cost images captured using simple optical …
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Health 0.0

Health 0.0
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Voice Privacy Preservation

Spoken language is an information-rich medium that combines words with various information about emotions, feelings, and excitation through…
Project Research

Detect DeepFakes: How to counteract misinformation created by AI

Check out our publications in PNAS, a workshop at IJCAI, and pre-print on arXiv. How do you spot a DeepFake? How good are DeepFak…
Article Research

Are You Better Than a Machine at Spotting a Deepfake?

New research shows that detecting digital fakes generated by machine learning might be a job best done with humans still in the loop.
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RAISE

RAISE
Article Research

The Big Conversation - Machine Yearning

Cynthia Breazeal is featured in The Big Conversation: Machine Yearning, part of a conversation series running at the Sundance Film Festival.
Article Research

A guide to cyberarts: From bots to glitch, an annotated glossary for an age of augmented reality

Check out this list of cyberart projects compiled by The Boston Globe, which includes work by alum Alexander Reben and Prof. Ekene Ijeoma.
Article Research

Deploying machine learning to improve mental health

MIT scientist Rosalind Picard collaborates with clinicians to develop tools for mental health care delivery.
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MAS.S64. Real-world Evaluation of Artificial Intelligence and Genome Editing Technologies

MAS.S64 Real-world Evaluation of Artificial Intelligence and Genome Editing Technologies - Fall 2020 Online CourseWhen: Tuesdays, 3-4 …
Article Research

Could humanlike behavior make smart devices more engaging? MIT researchers think so

A new study by researchers from the Personal Robots group and collaborators assesses how families interact with voice-user interfaces.
Project Research

Artificial Intelligence and Machine Learning in Clinical Development: A Translational Perspective

Technical summary: Future of clinical development is on the verge of a major transformation due to convergence of large new digital data so…
Article Research

“Hey, Alexa! Are you trustworthy?”

The more social behaviors a voice-user interface exhibits, the more likely people are to trust it, engage with it, and think it competent.
Project Research

Research Area | Emergent Neural Networks to Redesign Clinical Testing of Medicines and Learning from Real World Evidence

Research studies led by Dr. Shah, in collaboration with the United States Food and Drug Administration (FDA),  have develope…
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AI Methods for Rapid Automated Staining and Destaining of Tissue Biopsies in Hospitals

General OverviewStaining of tissues sections using chemical and biological dyes has been used for over a century for visualizing various ti…
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Self-Learning AI Model Learns from Patient Data to Design Novel Clinical Trials

Technical summaryUnstructured learning problems without well-defined rewards are unsuitable for current reinforcement learning (RL) approac…
Article Research

The promise and pitfalls of artificial intelligence explored at TEDxMIT event

MIT scientists discuss the future of AI with applications across many sectors, as a tool that can be both beneficial and harmful.
Publication Research

Multi-task Learning for Predicting Health, Stress, and Happiness

Jaques, N., Taylor, S., Nosakhare, E., Sano, A., Picard, R. In Proc. NIPS Workshop on ML in Health, Barcelona, Spain, December 2016. **BEST PAPER AWARD**
Publication Research

Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health

Taylor, S.*, Jaques, N.*, Nosakhare, E., Sano, A. and Picard, R., "Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health," in IEEE Transactions on Affective Computing, vol. PP, no. 99, pp. 1-1. doi: 10.1109/TAFFC.2017.2784832 *Both authors contributed equally. WINNER: BEST OF COLLECTION
Project Research

School Reviews

Parents often select schools by relying on subjective assessments shared by other parents—which are increasingly becoming available on scho…
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Experiments in Deepfakes: Creativity, Computation and Criticism

SynopsisThe class will cover a wide range of perspectives on deepfakes, from their historical ancestors through their philosophical underpi…
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