health
art
human-machine interaction
learning
artificial intelligence
robotics
architecture
consumer electronics
design
technology
kids
music
wearable computing
networks
politics
entertainment
bioengineering
economy
cognition
history
human-computer interaction
data
archives
machine learning
social science
storytelling
sensors
interfaces
space
environment
wellbeing
covid19
computer science
developing countries
prosthetics
engineering
privacy
social robotics
ethics
civic technology
social media
civic media
imaging
synthetic biology
communications
neurobiology
urban planning
public health
augmented reality
affective computing
virtual reality
biology
transportation
energy
community
biomechanics
data visualization
social change
biotechnology
computer vision
industry
ocean
3d printing
zero gravity
alumni
food
government
genetics
blockchain
racial justice
agriculture
manufacturing
medicine
gaming
data science
women
prosthetic design
construction
creativity
materials
social networks
fashion
open source
behavioral science
banking and finance
security
crowdsourcing
cryptocurrency
systems
collective intelligence
climate change
makers
wiesner
fabrication
internet of things
language learning
performance
neural interfacing and control
cognitive science
bionics
interactive
ecology
autonomous vehicles
perception
human augmentation
civic action
nonverbal behavior
mapping
extended intelligence
physiology
visualization
startup
diversity
physics
clinical science
holography
long-term interaction
gesture interface
networking
point of care
sports and fitness
autism research
orthotic design
marginalized communities
water
trust
natural language processing
electrical engineering
voice
microfabrication
hacking
mechanical engineering
nanoscience
pharmaceuticals
member company
primary healthcare
mechatronics
clinical trials
trade
academia
member event
open access
microbiology
gender studies
rfid
soft-tissue biomechanics
chemistry
real estate
randomized experiment
publishing
biomedical imaging
gis
event
exhibit
cartography
metamaterials
installation
code
Advancing justice in Earth's complex systems using designs enabled by space
Looking beyond smart cities
Promoting deeper learning and understanding in human networks
MAS.S64 Real-world Evaluation of Artificial Intelligence and Genome Editing Technologies - Fall 2020 Online CourseWhen: Tuesdays, 3-...
Neil Gaikwad from the Space Enabled research group is co-organizing the KDD Workshop on Humanitarian Mapping.
Technical summary: Future of clinical development is on the verge of a major transformation due to convergence of large new digital data ...
Research in our laboratory reduces dependence on specialized medical imaging devices, biological and chemical processes and creates new p...
Staining of tissues sections using chemical and biological dyes has been used for over a century for visualizing various tissue types and...
This study reports an end-to-end deep learning framework for virtual H&E staining, automatic classification, and localization of pros...
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
How do you spot a DeepFake? How good are DeepFake videos? How well can ordinary people tell the difference between a video manipulated by...
AlterEgo is a non-invasive, wearable, peripheral neural interface that allows humans to converse in natural language with mach...
Danielle Wood, Katlyn Turner, and Catherine D'Ignazio talk about The Abuse and Misogynoir Playbook.
Can robots find and grasp hidden objects?Robots are not capable of handling tasks as simple as restocking grocery store shelves as ...
Health 0.0
System uses penetrative radio frequency to pinpoint items, even when they’re hidden from view.
Advance human wellbeing by developing new ways to communicate, understand, and respond to emotion
MIT Center for Constructive Communication
Description: Designed for grant proposal and research publication student writers, this course presents a general overview as well as t...
Have you ever wondered what a friend would do if she was in your decision-making situation? Or thought about where a family mem...
Watch the interviews conducted by Career Girls with Labbers Randi Williams, Jaleesa Trapp, Marian Muthui, and Alexis Hope.
Designing systems for cognitive enhancement
This video interview is a part of Media Lab X.0: Anthology of Tomorrows.In 2020, first-year PhD students at the MIT Media Lab were t...
In this work, we introduce FedML, an open research library and benchmark that facilitates the development of new 'federated learning algo...
Former Labber Rana el Kaliouby, current CEO and co-founder of Affectiva, talks with Reid Hoffman during an episode of Masters of Scale.
This project was selected to represent MIT at the Microsoft Design Expo 2020 on ‘Healthier Futures.’ iNonymizeA tele-mental health p...
Randi Williams talks about her work. Her advice to girls is never to be afraid to make yourself heard; your ideas are essential.
Check out the project site here. The pursuit of justice in AI requires more than just tweaking the numbers. It requires us to “study up”...
In this speculative project, we "flipped the script" on a widespread narrative regarding the use of algorithmic risk assessment for crimi...
Enhancing human physical capability
At Open Learning Talks, Cynthia Breazeal and Eric Klopfer discuss artificial intelligence education.
Neil Gaikwad, a PhD student in the Space Enabled research group, has been selected as one of the 2019 Facebook Fellows.
dementAI is an open-source platform for modeling risk stratification of Alzheimer's dementia using spontaneous speech through ...
Interpreting human electroencephalogram (EEG) is a challenging task and requires years of medical training. We present a framework for le...
We propose an improved private count-mean-sketch data structure and show its applicability to differentially private contact tr...
Nature profiles researchers from a variety of different fields, including the Lab’s own Cynthia Breazeal, who are shaping the future of AI.
Middle school students reimagine the YouTube platform. Students consider the stakeholders in YouTube, the goal of the recommendation algo...
Real World Data (RWD) and Real World Evidence (RWE) are playing an increasing role in healthcare decisions to support innovative use of E...
Technical summaryUnstructured learning problems without well-defined rewards are unsuitable for current reinforcement learning (RL) appro...
Building intelligent personified technologies that collaborate with people to help them learn, thrive, and flourish.
“Us” aims to help people develop their sense of empathy. It uses machine learning to analyze interlocutors’ signals (e.g., tone of voice,...
Read about Fluid Interfaces head Pattie Maes, who has been featured in Forbes's "Women in AI to Watch."
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
In October, MIT hosted the kickoff for Massachusetts STEM Week, which included a keynote by Cynthia Breazeal.
General overview:Sepsis, a life-threatening complication of bacterial infection, leads to millions of worldwide deaths requires significa...
General OverviewStaining of tissues sections using chemical and biological dyes has been used for over a century for visualizing various ...
Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for health conditions. We report an automat...
Dr. Shah was an invited speaker and a contributor at The National Cancer Policy Forum developed workshop series at the The National Acade...
Extending expression, learning, and health through innovations in musical composition, performance, and participation
By Carolyn “CC” Song, High School Senior and Personal Robots Intern “What do you want to be when you grow up?”
The “HIDW Young Talent” exhibition addressed three topics: Manufacturing of Tomorrow, Future Craft, and City Catalyst.
Engaging people in creative learning experiences
Urban populations around the world are rapidly growing. To improve livability, urban residents must reduce dependency on fossil fuels and...
InspirationSleep is a forgotten country of the mind. A vast majority of our technologies are built for our waking state, even though a th...
Making the invisible visible–inside our bodies, around us, and beyond–for health, work, and connection
OverviewPAL is a wearable platform for personalized, context-aware, and always-present user change. PAL has mu...
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...
Exploring the essence of code as a creative medium
Creating scalable technologies that evolve with user inventiveness
The full text of our paper is available here.Sometimes the thing that we want to see is hidden behind something else. A neighboring vehi...
Papers from SafePaths: https://github.com/PrivateKit/PrivacyDocumentsSafe Paths is an MIT-led, free, open source technology tha...
We present a stochastic scheme for splitting the client data into privatized shares that are transmitted to the server in such settings. ...
Skip Norm is a new and flexible building block for Deep Learning that serves as a skip connection and normalization block simultaneously....
Neil Gaikwad, a PhD student in the Media Lab's Space Enabled research group, has received the GSC Graduate Teaching Award, an Institute A...
Vepakomma, P., Balla, J., Raskar, R., "Splintering with distributions: A stochastic decoy scheme for private computation." 6 Jul 2020.
Humans can accurately sense the position, speed, and torque of their limbs, even with their eyes shut. This sense, known as proprioceptio...
Seamlessly coupling the worlds of bits and atoms by giving dynamic physical form to digital information and computation
@article{sarawgi2020multimodal, title={Multimodal Inductive Transfer Learning for Detection of Alzheimer's Dementia and its Severity}, author={Sarawgi, Utkarsh and Zulfikar, Wazeer and Soliman, Nouran and Maes, Pattie}, journal={arXiv preprint arXiv:2009.00700}, year={2020} }
@misc{sarawgi2020uncertaintyaware, title={Uncertainty-Aware Multi-Modal Ensembling for Severity Prediction of Alzheimer's Dementia}, author={Utkarsh Sarawgi and Wazeer Zulfikar and Rishab Khincha and Pattie Maes}, year={2020}, eprint={2010.01440}, archivePrefix={arXiv}, primaryClass={cs.LG} }