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Advancing justice in Earth's complex systems using designs enabled by space
​Mental Machine: Labour in the Self Economy, 2022, is a live performance by Kawita Vatanajyankur made in collaboration with Pat Patara…
Reimagining human cooperation in the age of social media and artificial intelligence
Neil Gaikwad, a PhD student in the Space Enabled research group, has been selected as one of the 2019 Facebook Fellows.
Looking beyond smart cities
Advancing human wellbeing by developing new ways to communicate, understand, and respond to emotion
Designing Systems for Cognitive Support
One of the principal benefits of counterfactual explanations is allowing users to explore "what-if" scenarios through what does not and c...
Automatic emotion recognition has become a well-established machine learning task in recent years. The sensitive and subjective nature of...
In collaboration with Massachusetts General Hospital, we are conducting a clinical trial exploring objective methods for assessing depres...
Health 0.0
Technical summary: Future of clinical development is on the verge of a major transformation due to convergence of large new digital data ...
Staining of tissues sections using chemical and biological dyes has been used for over a century for visualizing various tissue types and...
Cultivating wisdom through evolutionary and ecological engineering
Building intelligent personified technologies that collaborate with people to help them learn, thrive, and flourish.
What is ELSA?ELSA is an AI-powered chatbot that acts as an empathetic companion, encouraging users to talk about their day through a form...
The goal of this project is to develop techniques to remove identifying information from wearable and phone data to protect patients’ pri...
Akram Bayat, Connor Anderson and Pratik Shah. "Automated end-to-end deep learning framework for classification and tumor localization from native nonstained pathology images," Proc. SPIE 11596, Medical Imaging 2021: Image Processing, 115960A (15 February 2021); doi: 10.1117/12.2582303
inSight is a brain decoding system. It uses generative models (BigGAN and MusicVAE) to stimulate the brain with synthetic, but natu...
General overview:Sepsis, a life-threatening complication of bacterial infection, leads to millions of worldwide deaths requires significa...
Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion
Revealing insights into the human condition and repairing brain disorders via novel tools for mapping and fixing brain computations
Wearable Wisdom: An Intelligent Audio-Based System for Mediating Wisdom and AdviceHaving good mentors and role models is important for pe...
This work is being continued through The Dalai Lama Center for Ethics and Transformative Values at MIT.This project will suppor...
We should challenge the cult of Singularity. AI won't take over the world.
NeverMind is an interface and application designed to support human memory. We combine the memory palace memorization method with augment...
Faculty from across the Institute tapped to lead new initiative in human and machine intelligence.
Cynthia Breazeal, MIT associate professor of media arts and sciences, describes her research on social and emotional intelligence.
Oscar Rosello, Marc Exposito, and Pattie Maes. 2016. NeverMind: Using Augmented Reality for Memorization. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology (UIST '16 Adjunct). ACM, New York, NY, USA, 215-216.