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Advancements in machine learning have recently enabled the hyper-realistic synthesis of prose, images, audio and video data, in what is ref…
Co-founded by Professor Rosalind Picard, Empatica develops medical-grade wearables and algorithms for health monitoring and diagnostics.
Al·che·my is the process of transformation, creation, and combination. It is in this conceptual space that we frame the convergence of huma…
Spoken language is an information-rich medium that combines words with various information about emotions, feelings, and excitation through…
“Us” aims to help people develop their sense of empathy. It uses machine learning to analyze interlocutors’ signals (e.g., choice of words,…
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…
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.
Imagine a personal AI agent that you can converse with naturally about your friends and family, helping you remember previous topics you’ve…
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…
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…
@artbhot is a Twitter bot that leverages stable diffusion technology to translate user tweets into images and animations. Access…
The goal of this project is to develop techniques to remove identifying information from wearable and phone data to protect patients’ priva…
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).
By Chelsea Barabas, Karthik Dinakar, and Colin DoyleTwenty-seven prominent researchers from MIT, Harvard, Princeton, NYU, …
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.
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
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
Neil Gaikwad from the Space Enabled research group is co-organizing the KDD Workshop on Humanitarian Mapping.
Reimagining human cooperation in the age of social media and artificial intelligence
Open Agriculture Initiative (OpenAg)
Creating technology for social change
Changing storytelling, communication, and everyday life through sensing, understanding, and new interface technologies
Designing for, with, and by nature
Researchers develop a comfortable, form-fitting fabric that recognizes its wearer’s activities, like walking, running, and jumping.
Neil Gaikwad, a PhD student in the Space Enabled research group, has been selected as one of the 2019 Facebook Fellows.
Neil Gaikwad, a PhD student at the Media Lab, has received the GSC Graduate Teaching Award, an Institute Award presented annually to one MI…
Named Human Rights & Technology Fellow by MIT Center for International Studies, and a Rising Star by UChicago Center for Data & Computing.
Personal Robots group head Cynthia Breazeal speaks with Marwa ElDiwiny on a recent episode of the IEEE RAS Soft Robotics podcast.
A Conversation with the Sun is an artistic exploration by acclaimed Thai auteur and artist Apichatpong Weerasethakul in collaboration…
Retrofitting is a technique used to move word vectors closer together or further apart in their space to reflect their relationships in a K…
We want to create immersive, personalized, and scalable digital experiences. In order to do that, we need to fundamentally rethink the way …
ConceptNet, or Open Mind Common Sense, is a long-standing project designed to help computers understand the meanings of words that people u…
Trying to catch up to a rapidly advancing technology, government agencies, industry, and academia are looking for guidance and best practic…
In this speculative project, we "flipped the script" on a widespread narrative regarding the use of algorithmic risk assessment for crimina…
Algorithmic auditing has emerged as a key strategy to expose systematic biases embedded in software platforms, yet scholarship on the impac…
The Gender Shades project pilots an intersectional approach to inclusive product testing for AI.Algorithmic Bias PersistsGender Shades is a…
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…
Thousands of children participate in MIT-developed artificial intelligence curriculum.
We live in a world of personified conversational assistants (agents). We interact with these agents in our daily lives such as smart speake…
One of the principal benefits of counterfactual explanations is allowing users to explore "what-if" scenarios through what does not and can…
Automatic emotion recognition has become a well-established machine learning task in recent years. The sensitive and subjective nature of e…
In the quest towards general artificial intelligence (AI), researchers have explored developing loss functions that act as intrinsic motiva…