Article Research

Could humanlike behavior make smart devices more engaging? MIT researchers think so

A new study by researchers from the Personal Robots group and collaborators assesses how families interact with voice-user interfaces.
Research
Affective Computing

Advancing human wellbeing by developing new ways to communicate, understand, and respond to emotion
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 ...
Research
City Science

Looking beyond smart cities
Research
Social Machines

Promoting deeper learning and understanding in human networks
Research
Opera of the Future

Extending expression, learning, and health through innovations in musical composition, performance, and participation
Article Research

“Hey, Alexa! Are you trustworthy?”

The more social behaviors a voice-user interface exhibits, the more likely people are to trust it, engage with it, and think it competent.
Research
Fluid Interfaces

Designing Systems for Cognitive Support
Project Research

Research Area | Emergent Neural Networks to Redesign Clinical Testing of Medicines and Learning from Real World Evidence

Research studies led by Dr. Shah, in collaboration with the United States Food and Drug Administration (FDA),  have develo...
Project Research

Research Area | Application, Interpretability and Clinical Translation of Deep Learning Algorithms for Medical Images

Research studies led by Dr. Shah in his laboratory have created new paradigms for using low-cost images captured using simple optica...
Research
Health 0.0

Health 0.0
Project Research

AI Methods for Rapid Automated Staining and Destaining of Tissue Biopsies in Hospitals

General OverviewStaining of tissues sections using chemical and biological dyes has been used for over a century for visualizing various ...
Project Research

Self-Learning AI Model Learns from Patient Data to Design Novel Clinical Trials

Technical summaryUnstructured learning problems without well-defined rewards are unsuitable for current reinforcement learning (RL) appro...
Article Research

The promise and pitfalls of artificial intelligence explored at TEDxMIT event

MIT scientists discuss the future of AI with applications across many sectors, as a tool that can be both beneficial and harmful.
Publication Research

Multi-task Learning for Predicting Health, Stress, and Happiness

Jaques, N., Taylor, S., Nosakhare, E., Sano, A., Picard, R. In Proc. NIPS Workshop on ML in Health, Barcelona, Spain, December 2016. **BEST PAPER AWARD**
Publication Research

Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health

Taylor, S.*, Jaques, N.*, Nosakhare, E., Sano, A. and Picard, R., "Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health," in IEEE Transactions on Affective Computing, vol. PP, no. 99, pp. 1-1. doi: 10.1109/TAFFC.2017.2784832 *Both authors contributed equally. WINNER: BEST OF COLLECTION
Research
Signal Kinetics

Inventing, building, and deploying wireless sensor technologies to address complex problems in society, industry, and ecology
Research
Tangible Media

Seamlessly coupling the worlds of bits and atoms by giving dynamic physical form to digital information and computation
Research
Viral Communications

Creating scalable technologies that evolve with user inventiveness
Research
Sculpting Evolution

Cultivating wisdom through evolutionary and ecological engineering
Research
Personal Robots

Building intelligent personified technologies that collaborate with people to help them learn, thrive, and flourish.
Research
Molecular Machines

Engineering at the limits of complexity with molecular-scale parts
Research
Future Sketches

Exploring the essence of code as a creative medium
Research
Camera Culture

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

School Reviews

Parents often select schools by relying on subjective assessments shared by other parents—which are increasingly becoming available on sc...
Archived
Project Research

Experiments in Deepfakes: Creativity, Computation and Criticism

SynopsisThe class will cover a wide range of perspectives on deepfakes, from their historical ancestors through their philosophical under...
Archived
Article Research

EV Charge Point Operators Gain a New Tool for Siting Decisions

Jamie Schiel and Rohan Puri, who met in the Camera Culture group, talk to MIT Startup Exchange about their startup, Stable Auto.
Research
Space Enabled

Advancing justice in Earth's complex systems using designs enabled by space
Post Research

Neil Gaikwad recognized by MIT and University of Chicago

Named Human Rights & Technology Fellow by MIT Center for International Studies, and a Rising Star by UChicago Center for Data & Computing.
Publication Research

Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis

Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis. Nikhil Singh, Jeff Mentch, Jerry Ng, Matthew Beveridge, Iddo Drori; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 286-295
Article Research

Saving seaweed with machine learning

Charlene Xia is a Media Lab alum now pursuing a PhD in MIT Mechanical Engineering, combining her passions for food and sustainability.
Archived
Research
Open Ocean

Open Ocean
Article Research

A dispatch and routing platform to improve deliveries

Wise Systems has grown from an MIT class project to a company helping multinationals improve last-mile logistics.
Project Research

Commalla: Communication for All

​Interested in learning more about the Commalla project?  Fill out this form! 
Archived
Project Research

ELSA: Empathy learning, socially-aware agents

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...
Archived
Project Research

Blockchain: A new framework for robotic swarm systems

Swarms of robots will revolutionize many applications, from targeted material delivery to farming. However, the characteristics that make...
Publication Research

Robotic Grasping of Fully-Occluded Objects using RF Perception

Boroushaki, Tara, et al. "Robotic Grasping of Fully-Occluded Objects using RF Perception." IEEE International Conference on Robotics and Automation (ICRA 2021).
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 ...
Article Research

India's first AI art solo opens in Kolkata

In this new show, AI artist Harshit Agrawal uses machine intelligence to talk about social justice and empathy.
Research
MIT Center for Constructive Communication

MIT Center for Constructive Communication
Archived
Project Research

Big Ocean, Big Data

More ocean data has been collected in the last two years than in all previous years combined, and we are on a path to continue to break t...
Archived
Research
Responsive Environments

Augmenting and mediating human experience, interaction, and perception with sensor networks
Archived
Project Research

TuringBox: Democratizing the study of AI

TuringBox is a platform that makes it easier for social and behavioral scientists to study Artificial Intelligence algorithms. ...
Archived
Archived
Research
Ethics and Governance of Artificial Intelligence

Ethics and Governance of Artificial Intelligence
Project Research

RetroGAN

Retrofitting is a technique used to move word vectors closer together or further apart in their space to reflect their relationships in a...
Project Research

BayesDB

BayesDB is open-source AI software that lets any programmer answer data analysis questions in seconds or minutes with a level of rigor th...
Archived
Article Research

A robot that finds your lost stuff and more AI-enabled gadgets to come

The WSJ covers research from the Signal Kinetics group and other labs, universities, and companies working on AI-enabled devices.
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...
Project Research

Privacy-Preserving Depressive Symptoms Estimation

The goal of this project is to develop techniques to remove identifying information from wearable and phone data to protect patients’ pri...
Project Research

DISSECT: Disentangled Simultaneous Explanationsvia Concept Traversals

One of the principal benefits of counterfactual explanations is allowing users to explore "what-if" scenarios through what does not and c...
Project Research

Scaling Science: Using Data to Find “Hidden Gem” Research

The current system of scientific recognition and funding has significant bias towards work published in the top few percent of journ...
Project Research

parkinsAI

Appropriate and adaptive treatment plans are challenging in Parkinson’s disease for several reasons.  parkinsAI models drug response...
Publication Research

Diverse data selection via combinatorial quasi-concavity of distance covariance: A polynomial time global minimax algorithm

Diverse data selection via combinatorial quasi-concavity of distance covariance: A polynomial time global minimax algorithm, Praneeth Vepakomma, Yulia Kempner
Publication Research

FedML: A Research Library and Benchmark for Federated Machine Learning

Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Xiao Zeng, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Xinghua Zhu, Jianzong Wang, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram and Salman Avestimehr. "FedML: A Research Library and Benchmark for Federated Machine Learning." NeurIPS-SpicyFL 2020. (Baidu Best Paper Award)
Post Research

MAS.S64. Real-world Evaluation of Artificial Intelligence and Genome Editing Technologies

MAS.S64 Real-world Evaluation of Artificial Intelligence and Genome Editing Technologies - Fall 2020 Online CourseWhen: Tuesdays, 3-...
Post Research

Data-driven Humanitarian Mapping, KDD 2020

Neil Gaikwad from the Space Enabled research group is co-organizing the KDD Workshop on Humanitarian Mapping.
Project Research

RF-Grasp: Robotic Grasping of Hidden Objects

 Can robots find and grasp hidden objects?Robots are not capable of handling tasks as simple as restocking grocery store shelves as ...
Article Research

Supercomputers help researchers speed drug discovery for Covid-19

An MIT research team is using supercomputers to help develop a drug to treat the disease caused by the novel coronavirus.
Project Research

Augmented Eternity and Swappable Identities

Have you ever wondered what a friend would do if she was in your decision-making situation? Or thought about where a family mem...
Article Research

Study shows online school reviews reflect school demographics more than effectiveness

Language analysis reveals possible reinforcement of race- and income-based achievement gap.
Project Research

FedML: A Research Library and Benchmark for Federated Machine Learning

In this work, we introduce FedML, an open research library and benchmark that facilitates the development of new 'federated learning algo...
Project Research

dementAI

 dementAI is an open-source platform for modeling risk stratification of Alzheimer's dementia using spontaneous speech through ...
Archived
Project Research

SeqCLR: Self-supervised learning of features for time-series data

Interpreting human electroencephalogram (EEG) is a challenging task and requires years of medical training. We present a framework for le...
Archived
Project Research

DAMS: Differentially Private Sketching Data Structures

We propose an improved private count-mean-sketch data structure and show its applicability to differentially private contact tr...
Center for Civic Media
Archived
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