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Scalable Cooperation

Reimagining human cooperation in the age of social media and artificial intelligence

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Open Ocean

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Open Agriculture (OpenAg)

Open Agriculture Initiative (OpenAg)

Center for Civic Media

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Civic Media

Creating technology for social change

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Object-Based Media

Changing storytelling, communication, and everyday life through sensing, understanding, and new interface technologies

Smart textiles sense how their users are moving

Researchers develop a comfortable, form-fitting fabric that recognizes its wearer’s activities, like walking, running, and jumping.

Making art through computation

Master’s student Chelsi Cocking combines her love for computer science and design in her research and outreach efforts at the Media Lab.

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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 tha…

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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.

Butlr's people-sensing platform is designed as Google Analytics for buildings

In Dezeen, learn more about Butlr, a spinoff co-founded by former Labbers Honghao Deng and Jiani Zeng.

RetroGAN

Retrofitting is a technique used to move word vectors closer together or further apart in their space to reflect their relationships in a K…

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Actionable Auditing: Coordinated bias disclosure study

Algorithmic auditing has emerged as a key strategy to expose systematic biases embedded in software platforms, yet scholarship on the impac…

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Gender Shades

The Gender Shades project pilots an intersectional approach to inclusive product testing for AI.Algorithmic Bias PersistsGender Shades is a…

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Gobo

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…

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MIT Integrated Learning Initiative project focuses on focus

AttentivU smart glasses designed to help wearers tune into a task and tune out the world.

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Migratable AI

We live in a world of personified conversational assistants (agents). We interact with these agents in our daily lives such as smart speake…

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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 can…

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UncNet: Modeling uncertainty in deep learning for inherently subjective tasks

Automatic emotion recognition has become a well-established machine learning task in recent years. The sensitive and subjective nature of e…

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Learning via Social Awareness: Improving sketch representations with facial feedback

In the quest towards general artificial intelligence (AI), researchers have explored developing loss functions that act as intrinsic motiva…

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Personalized Machine Learning for Future Health

The view on Alzheimer’s Disease (AD) diagnosis has shifted towards a more dynamic process in which clinical and pathological markers evolv…

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Improving RNN Sequence Generation with RL

This project investigates a general method for improving the structure and quality of sequences generated by a recurrent neural network (RN…

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Behavioral Indications of Depression Severity

In collaboration with Massachusetts General Hospital, we are conducting a clinical trial exploring objective methods for assessing depressi…

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Predicting Bonding in Conversations

We show that using thin slices (< 1 minute) of facial expression and body language data, we can train a deep neural network to predict w…

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Personalized Machine Learning for Autism Therapy

EngageME: Personalized machine learning and humanoid robots for measuring affect and engagement of children with autismEngageME is a projec…

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Predicting students' wellbeing from physiology, phone, mobility, and behavioral data

The goal of this project is to apply machine learning methods to model the wellbeing of MIT undergraduate students. Extensive data is obtai…

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Are You Better Than a Machine at Spotting a Deepfake?

New research shows that detecting digital fakes generated by machine learning might be a job best done with humans still in the loop.

RAISE

The Big Conversation - Machine Yearning

Cynthia Breazeal is featured in The Big Conversation: Machine Yearning, part of a conversation series running at the Sundance Film Festival.

A guide to cyberarts: From bots to glitch, an annotated glossary for an age of augmented reality

Check out this list of cyberart projects compiled by The Boston Globe, which includes work by alum Alexander Reben and Prof. Ekene Ijeoma.

Deploying machine learning to improve mental health

MIT scientist Rosalind Picard collaborates with clinicians to develop tools for mental health care delivery.

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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, 3-4 …

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.

“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.

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.

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**

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

School Reviews

Parents often select schools by relying on subjective assessments shared by other parents—which are increasingly becoming available on scho…

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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 underpi…

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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.

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

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.

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.

Commalla: Communication for All

Interested in learning more about the Commalla project? Fill out this form!

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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 o…

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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).

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.

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TuringBox: Democratizing the study of AI

TuringBox is a platform that makes it easier for social and behavioral scientists to study Artificial Intelligence algorithms. It…

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Ethics and Governance of Artificial Intelligence

BayesDB

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

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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.

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 mult…

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 journal…

parkinsAI

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

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

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)