art
health
human-machine interaction
artificial intelligence
learning
robotics
design
architecture
technology
consumer electronics
kids
music
wearable computing
politics
bioengineering
networks
data
human-computer interaction
entertainment
machine learning
sensors
economy
cognition
history
social science
environment
archives
space
storytelling
wellbeing
interfaces
computer science
covid19
prosthetics
developing countries
engineering
ethics
civic technology
privacy
biology
social robotics
public health
social media
alumni
communications
imaging
civic media
creativity
industry
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augmented reality
urban planning
community
neurobiology
computer vision
affective computing
virtual reality
energy
biotechnology
transportation
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data visualization
biomechanics
social change
government
data science
ocean
zero gravity
blockchain
startup
materials
social networks
genetics
manufacturing
3d printing
medicine
prosthetic design
agriculture
racial justice
gaming
banking and finance
fabrication
behavioral science
women
climate change
construction
diversity
fashion
cryptocurrency
security
cognitive science
neural interfacing and control
electrical engineering
open source
systems
bionics
crowdsourcing
marginalized communities
microfabrication
ecology
performance
internet of things
civic action
collective intelligence
makers
human augmentation
microbiology
extended intelligence
wiesner
autonomous vehicles
language learning
perception
natural language processing
interactive
nonverbal behavior
mapping
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physiology
physics
mechanical engineering
chemistry
water
primary healthcare
clinical science
nanoscience
holography
long-term interaction
gesture interface
sports and fitness
networking
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point of care
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soft-tissue biomechanics
orthotic design
autism research
member company
pharmaceuticals
rfid
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Co-founded by Professor Rosalind Picard, Empatica develops medical-grade wearables and algorithms for health monitoring and diagnostics.
Looking beyond smart cities
Inventing disruptive technologies for nanoelectronic devices and creating new paradigms for life-machine symbiosis
Exploring new forms of social justice through art
Inventing, building, and deploying wireless sensor technologies to address complex problems in society, industry, and ecology
Designing Systems for Cognitive Support
MIT–Chile Research Workshops is an initiative to bring Artificial Intelligence, Visualization, and Causality research through lectures, han…
Advancing justice in Earth's complex systems using designs enabled by space
Check out our publications in PNAS, a workshop at IJCAI, and pre-print on arXiv. Check out a video from the Election Misinfo…
Spoken language is an information-rich medium that combines words with various information about emotions, feelings, and excitation through…
P. Pataranutaporn* J. Leong*, V. Danry*, A. Lawson, P. Maes, M. Sra. 2022. *Co-first authorship ”AI-Generated Virtual Instructors Based on Liked or Admired People Can Improve Motivation and Foster Positive Emotions for Learning” to appear in FIE 2022, October 8-11, Uppsala, Sweden.
“Us” aims to help people develop their sense of empathy. It uses machine learning to analyze interlocutors’ signals (e.g., choice of words,…
A tool for exploring the Media Lab’s research and synthesizing new project ideas.
We explore how AI-systems can effectively assist human reasoning processes by building and evaluating combined human+AI information process…
Epilepsy is the fourth most common neurological disease globally. In the U.S., 1.2% of the national population reported active epilepsy in …
Many community organizations want to engage in conversations with their constituents but lack the support they need to analyze feedback. Mo…
Different approaches and models have been used to detect driver’s stress and affective states, using physiology, facial expression, and sel…
CommunityLM is a research program from MIT Center for Constructive Communication (CCC) and MIT Media Lab. We are devoted to developing soci…
Seamlessly coupling the worlds of bits and atoms by giving dynamic physical form to digital information and computation
Engineering at the limits of complexity with molecular-scale parts
Machine Learning Technology Readiness Levels (MLTRL) apply systems engineering principles to the development of machine learning algorithms.
Instructors play an important role in shaping learners' attitudes and motivation levels, which in turn impacts their cognitive task perform…
Imagine a personal AI agent that you can converse with naturally about your friends and family, helping you remember previous topics you’ve…
Enhancing human physical capability
In an effort to design alternatives to opinion-based discourse at scale online that exploded with polarization, toxicity, and misinformatio…
Three-dimensional Digital Knitting of Intelligent Textile Sensor for Activity Recognition and Biomechanical MonitoringWe present an ap…
Communication skills are critical for all. We design and develop systems to help people with communication issues, eg more empa…
Health 0.0
Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for health conditions. We report an automated…
Technical summary: Future of clinical development is on the verge of a major transformation due to convergence of large new digital data so…
General overview:Sepsis, a life-threatening complication of bacterial infection, leads to millions of worldwide deaths requires significant…
General OverviewStaining of tissues sections using chemical and biological dyes has been used for over a century for visualizing various ti…
Dr. Shah was an invited speaker and a contributor at The National Cancer Policy Forum developed workshop series at the The National Academi…
Technical summaryUnstructured learning problems without well-defined rewards are unsuitable for current reinforcement learning (RL) approac…
Staining of tissues sections using chemical and biological dyes has been used for over a century for visualizing various tissue types and m…
Research studies led by Dr. Shah, in collaboration with the United States Food and Drug Administration (FDA), have develope…
Research studies led by Dr. Shah in his laboratory have created new paradigms for using low-cost images captured using simple optical …
Hang Jiang, Doug Beeferman, Brandon Roy, and Deb Roy. 2022. CommunityLM: Probing Partisan Worldviews from Language Models. In Proceedings of the 29th International Conference on Computational Linguistics (COLING), pages 6818–6826, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
The full text of our paper is available here.Sometimes the thing that we want to see is hidden behind something else. A neighboring vehicl…
Liquid News aims to help people better understand and interact with the news by leveraging machine-learning-based analysis and semantic nav…
@artbhot is a Twitter bot that leverages stable diffusion technology to translate user tweets into images and animations. Access…
People and intelligent machines in a creative, symbiotic loop
Building intelligent personified technologies that collaborate with people to help them learn, thrive, and flourish.
The goal of this project is to develop techniques to remove identifying information from wearable and phone data to protect patients’ priva…
Augmenting and mediating human experience, interaction, and perception with sensor networks
The honorees will be included in the October 2022 print issue of Fast Company Magazine.
Groh, Matthew, Aruna Sankaranarayanan, Andrew Lippman, and Rosalind Picard. "Human detection of political deepfakes across transcripts, audio, and video." arXiv preprint arXiv:2202.12883 (2022).
Groh, Matthew. "Identifying the Context Shift between Test Benchmarks and Production Data." arXiv preprint arXiv:2207.01059 (2022).
Engaging people in creative learning experiences
Community-scale Ocean Profiling Sensor Node
By Chelsea Barabas, Karthik Dinakar, and Colin DoyleTwenty-seven prominent researchers from MIT, Harvard, Princeton, NYU, …
Advancing human wellbeing by developing new ways to communicate, understand, and respond to emotion
Low-cost, modular, open source, and portable bio reactor.
MIT uses affective computing in efforts to improve human mental health.
Rico Medina, Andres. “Socio-Environmental Sensor Networks for Community Sensing.” Massachusetts Institute of Technology, MIT, 2022.
Extending expression, learning, and health through innovations in musical composition, performance, and participation
Cultivating wisdom through evolutionary and ecological engineering
Audio-visual data set containing around 21.6 hours of parent-child interaction during story reading.The DAMI-P2C dataset consists of audio-…
MIT Center for Constructive Communication
Promoting deeper learning and understanding in human networks
Exploring the essence of code as a creative medium
Making the invisible visible–inside our bodies, around us, and beyond–for health, work, and connection
On KCRW's Life Examined, Rosalind Picard talks about the potential for technology to help people understand emotions and improve wellbeing.
Affective Computing PhD student Matt Groh and other experts offer a few recommendations to help people recognize falsehoods online.
Mental Machine: Labour in the Self Economy, 2022, is a live performance by Kawita Vatanajyankur made in collaboration with Pat Patara…
Williams, R., Ali, S., Devasia, N. et al. AI + Ethics Curricula for Middle School Youth: Lessons Learned from Three Project-Based Curricula. Int J Artif Intell Educ (2022). https://doi.org/10.1007/s40593-022-00298-y
Chameleon is a wall-mounted sensor system that uses machine learning to classify building activity.We present the system as an alternative …
Neil Gaikwad from the Space Enabled research group is co-organizing the KDD Workshop on Humanitarian Mapping.