Research — MIT Media Lab

We are an antidisciplinary research lab working to invent the future of

human-machine interaction
health
art
learning
artificial intelligence
architecture
robotics
consumer electronics
kids
music
networks
design
wearable computing
politics
entertainment
history
economy
cognition
bioengineering
archives
technology
social science
storytelling
machine learning
interfaces
data
sensors
developing countries
human-computer interaction
space
prosthetics
wellbeing
social robotics
computer science
engineering
environment
social media
ethics
civic media
privacy
imaging
civic technology
urban planning
synthetic biology
neurobiology
affective computing
augmented reality
communications
transportation
virtual reality
energy
data visualization
computer vision
biology
food
biotechnology
blockchain
agriculture
social change
3d printing
genetics
biomechanics
gaming
banking and finance
manufacturing
crowdsourcing
open source
systems
behavioral science
government
industry
cryptocurrency
public health
zero gravity
prosthetic design
wiesner
social networks
collective intelligence
fashion
community
makers
data science
ocean
performance
racial justice
language learning
ecology
internet of things
perception
nonverbal behavior
medicine
security
construction
neural interfacing and control
autonomous vehicles
extended intelligence
climate change
visualization
mapping
human augmentation
gesture interface
physiology
long-term interaction
civic action
networking
interactive
holography
point of care
orthotic design
bionics
trust
fabrication
pharmaceuticals
women
natural language processing
autism research
clinical science
hacking
mechanical engineering
startup
alumni
academia
sports and fitness
rfid
cognitive science
member company
open access
clinical trials
gender studies
member event
marginalized communities
trade
primary healthcare
soft-tissue biomechanics
voice
materials
chemistry
real estate
electrical engineering
randomized experiment
diversity
biomedical imaging
water
microbiology
gis
mechatronics
publishing
event
exhibit
cartography
metamaterials
installation

Machine learning shows no difference in angina symptoms between men and women

Finding could help overturn the prevailing notion that men and women experience angina differently.

SG Kinesics

The relationship between news content and its presentation has been a long-studied problem in the communications domain. Often, chan...

Research

City Science

Looking beyond smart cities

Project Research

PAL: a wearable on-device deep learning platform for personalized, context-aware, and closed-loop real-time support

OverviewPAL is a wearable platform for personalized, context-aware, and always-present user change. PAL has mu...

Exploring the essence of code as a creative medium

Research

Responsive Environments

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

Research

Social Machines

Promoting deeper learning and understanding in human networks

Research

Open Agriculture (OpenAg)

Open Agriculture Initiative (OpenAg)

Project Research

City Science Lab Andorra

Andorra and the City Science research group at the MIT Media Lab are taking on the challenge of turning Andorra into an “Internationally ...

Project Research

Theme | CityScope

City Science researchers are developing a slew of tangible and digital platforms dedicated to solving spatial design and urban planning c...

Project Research

INSPIRE

INSPIRE: Intelligence Never Seeks Perfection, Instead Requires Effort.Stories help us expand our sense of what's possible: by hearing fro...

Project Research

Theme | Mobility On-Demand

Urban populations around the world are rapidly growing. To improve livability, urban residents must reduce dependency on fossil fuels and...

Archived

Project Research

Predicting Trust Between People

Machine learning model outperforms human judgementOur computational trust model is capable of predicting—above human accuracy—the degree ...

Archived

Project Research

Intentional Inference of Emotions

Emotion recognition modeled as a goal-directed process!

Archived

Project Research

Human-Robot Trust

Unconventional mixing of research fields introduces a new method to study human behavior using social robots.

Archived

Project Research

Artificial listener with social intelligence

A social robot modifies its behavior to change what you think about it!

Archived

Research

Lifelong Kindergarten

Engaging people in creative learning experiences

Advance human wellbeing by developing new ways to communicate, understand, and respond to emotion

Research

Human Dynamics

Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion

Research

Civic Media

Creating technology for social change

Article Research

Detecting patients’ pain levels via their brain signals

System could help with diagnosing and treating noncommunicative patients.

Research

Health 0.0

Project Research

Deep Reinforcement Learning for Pain Management

Opioid therapy is the cornerstone of management of pain in the ICU. However, opioids present numerous side effects and are highly addicti...

Research

Camera Culture

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

Research

Molecular Machines

Engineering at the limits of complexity with molecular-scale parts

Project Research

Food Server

The OpenAg™ Food Server is a shipping container-sized, controlled environment agriculture technology that can be built to utilize hydropo...

Research

Ethics and Governance of Artificial Intelligence

Archived

Research

Collective Learning

Transforming data into knowledge

Research

Personal Robots

Building socially engaging robots and interactive technologies to help people live healthier lives, connect with others, and learn better

Publication Research

Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach

Rudovic, O., Zhang, M, Schuller, B., Picard, R. "Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach", In 2019 International Conference on Multimodal Interaction (ICMI ’19), October 14–18, 2019, Suzhou, China. ACM, New York, NY, USA.

Project Research

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 imag...

Project Research

Research Area | Medical Imaging Technologies Using Unorthodox Artificial Intelligence for Early Disease Diagnoses

Our published research findings listed below share key examples for reducing dependence on specialized medical devices, biological &...

Publication Research

Machine learning algorithms for classification of microcirculation images from septic and non-septic patients

Perikumar Javia, Rana A, Shapiro NI, Shah P. IEEE Xplore, Proceedings of 17th International Conference on Machine Learning and Applications (2018) (Conference acceptance rate: 14%). DOI: 10.1109/ICMLA.2018.00097

Publication Research

Computational histological staining and destaining of prostate core biopsy RGB images with generative adversarial neural networks

Aman Rana, Yauney G, Lowe A, Shah P. IEEE Xplore, Proceedings of 17th International Conference on Machine Learning and Applications (2018) (Conference acceptance rate: 14%). DOI: 10.1109/ICMLA.2018.00133

Project Research

Research Area | Novel Ethical, Secure and Explainable Artificial Intelligence based Digital Medicines and Treatments

We have described validation of novel machine learning architectures for designing faster, safer, and more efficacious digital medicines ...

Publication Research

Automated segmentation of gingival diseases from oral images

A. Rana, G. Yauney, L. C. Wong, O. Gupta, A. Muftu, P. Shah. IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT). IEEE (2017). DOI: 10.1109/HIC.2017.8227605

Publication Research

Convolutional neural network for combined classification of fluorescent biomarkers and expert annotations using white light images

G. Yauney, K. Angelino, D. A. Edlund, P. Shah. IEEE 17th International Conference on Bioinformatics and Bioengineering (2017). DOI: 10.1109/BIBE.2017.00-37

Project Research

Digital Clinical Trials with Novel Machine Learning and AI Architectures

Dr. Shah was an invited speaker and a contributor at The National Cancer Policy Forum developed workshop series at the The National Acade...

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 ...

Archived

Research

Advancing Wellbeing

Project Research

MoCho: Mobility choices and societal impacts

MoCho (short for "Mobility Choices") is a CityScope module focused on mobility choices and societal impacts. This tool helps pr...

Project Research

AI + Ethics Curriculum for Middle School

How do we raise conscientious consumers and designers of AI?Children today live in the age of artificial intelligence. On average, US chi...

Publication Research

What's your MoCho? Real-time Mode Choice Prediction Using Discrete Choice Models and a HCI Platform

Doorley, Ronan & Noyman, Ariel & Sakai, Yasushi & Larson, Kent. (2019). What's your MoCho? Real-time Mode Choice Prediction Using Discrete Choice Models and a HCI Platform. UrbComp SIGKDD 2019

Project Research

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 evo...

Project Research

The Deep Image of the City

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...

Article Research

Bristol-Myers Squibb turns to an AI startup to accelerate cancer research

Pratik Shah speaks on the challenges and opportunities for artificial intelligence and machine learning adoption in clinical development.

Article Research

AI-powered food computers designing new ways of growing crops

MIT initiative is producing climate recipes for tastier crops.

Research

Scalable Cooperation

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

Post Research

Generation AI: Teaching a new kind of tech savvy

This summer, the Personal Robots group will be hosting a week-long workshop at the MIT Media Lab to teach kids about AI and ethics!

Project Research

DeepMoji

Emotional content is an important part of language. There are many use cases now showing that natural language processing is becoming an ...

Post Research

Affective Computing researchers win Best Paper Award at IEEE BHI 2019

"Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks," by Terumi Umematsu, Akane Sano, Sara Taylor, an...

Publication Research

Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks

Umematsu, T., Sano, A., Taylor, S., and Picard, R. "Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks." IEEE International Conference on Biomedical and Health Informatics (BHI), Chicago, Illinois, May 2019. (BEST PAPER AWARD - 1st Prize)

Project Research

Machine learning shows no difference in angina symptoms between men and women

SG Kinesics

PAL: a wearable on-device deep learning platform for personalized, context-aware, and closed-loop real-time support

City Science Lab Andorra

Theme | CityScope

INSPIRE

Theme | Mobility On-Demand

Predicting Trust Between People

Intentional Inference of Emotions

Human-Robot Trust

Artificial listener with social intelligence

Detecting patients’ pain levels via their brain signals

Deep Reinforcement Learning for Pain Management

Food Server

Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach

Gobo

Research Area | Medical Imaging Technologies Using Unorthodox Artificial Intelligence for Early Disease Diagnoses

Machine learning algorithms for classification of microcirculation images from septic and non-septic patients

Computational histological staining and destaining of prostate core biopsy RGB images with generative adversarial neural networks

Research Area | Novel Ethical, Secure and Explainable Artificial Intelligence based Digital Medicines and Treatments

Automated segmentation of gingival diseases from oral images

Convolutional neural network for combined classification of fluorescent biomarkers and expert annotations using white light images

Digital Clinical Trials with Novel Machine Learning and AI Architectures

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

MoCho: Mobility choices and societal impacts

AI + Ethics Curriculum for Middle School

What's your MoCho? Real-time Mode Choice Prediction Using Discrete Choice Models and a HCI Platform

Personalized Machine Learning for Future Health

The Deep Image of the City

Bristol-Myers Squibb turns to an AI startup to accelerate cancer research

AI-powered food computers designing new ways of growing crops

Generation AI: Teaching a new kind of tech savvy

DeepMoji

Affective Computing researchers win Best Paper Award at IEEE BHI 2019

Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks

Improving wellbeing prediction performance using temporal machine learning models

SNAPSHOT Study

Personal Food Computer

VizML: A Machine Learning Approach to Visualization Recommendation

AI researchers want to study AI the same way social scientists study humans

Machine Behavior

Forget about artificial intelligence, extended intelligence is the future

Machine behaviour

Studying the behavior of AI

Big Ocean, Big Data

The Electome: Measuring responsiveness in the 2016 election

A voting-based system for ethical decision making

Predicting students' wellbeing from physiology, phone, mobility, and behavioral data

Learning via Social Awareness: Improving sketch representations with facial feedback

The Ripple Effect: You are more influential than you think

RoboChain: A secure data-sharing framework for human-robot interaction

Recurrent neural network in context-free next-location prediction