Project Research

Research Area | Emergent Neural Networks for Ethical Clinical Development of Experimental Medicines and Leveraging Real World Evidence

Real World Data (RWD) and Real World Evidence (RWE) are playing an increasing role in healthcare decisions to support innovative use of E...
Project Research

Research Area | Unorthodox Deep Learning Models that Generate Low-cost Images for Disease Diagnosis and Personalized Medicine

My research reduces dependence on specialized medical imaging devices, biological and chemical processes and creates new paradigms for us...
Research
Health 0.0

Health 0.0
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City Science

Looking beyond smart cities
Project Research

Commalla: Communication for All

(Note: this project was previously referred to as ECHOS)Approximately 3.5 million people in the US have Autism Spectrum Disorder (ASD), o...
Research
Open Ocean

Open Ocean
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Fluid Interfaces

Designing systems for cognitive enhancement
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Future Sketches

Exploring the essence of code as a creative medium
Project Research

Theme | CityScope

City Science researchers are developing a slew of tangible and digital platforms dedicated to solving spatial design and urban planning c...
Project Research

Personalized Robot Storytelling Companion

Could a social robot collaboratively exchange stories with children as a peer and help improve their linguistic and storytelling skills? ...
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Social Machines

Promoting deeper learning and understanding in human networks
Publication Research

Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-Being

Nosakhare, E., Picard, R. W. Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-Being," ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’19), August 4–8, 2019, Anchorage, AK, USA. ACM, New York, NY, USA. https://doi.org/10.1145/3292500.3330738
Publication Research

Towards Assessing and Recommending Combinations of Behaviors for Improving Health and Well-Being

Nosakhare, E., and Picard. R. 2019. Toward Assessing and Recommending Combinations of Behaviors for Improving Health and Well-Being. ACM Trans. Comput. Healthcare 1, 1, Article 4 (December 2019), 29 pages.
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Affective Computing

Advance human wellbeing by developing new ways to communicate, understand, and respond to emotion
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Responsive Environments

Augmenting and mediating human experience, interaction, and perception with sensor networks
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Viral Communications

Creating scalable technologies that evolve with user inventiveness
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Object-Based Media

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

Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion
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Camera Culture

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

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 evo...
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...
Project Research

Theme | Mobility On-Demand

Urban populations around the world are rapidly growing. To improve livability, urban residents must reduce dependency on fossil fuels and...
Publication Research

Zero-Shot Transfer Learning to Enhance Communication for Minimally Verbal Individuals with Autism using Naturalistic Data

Narain, J.* & Johnson, K.T.*, Picard, R.W., Maes, P. "Zero-Shot Transfer Learning to Enhance Communication for Minimally Verbal Individuals with Autism using Naturalistic Data," NeurIPS Workshop on AI for Social Good, December 2019. (*equal contribution)
Project Research

Paper Dreams

Paper Dreams explores how human creativity can be supported by artificial intelligence.Prior research on AI and creativity has primarily ...
Project Research

INSPIRE

INSPIRE: Intelligence Never Seeks Perfection, Instead Requires Effort.Stories help us expand our sense of what's possible: by hearing fro...
Project Research

SuperGlue Kinesics

The relationship between news content and its presentation has been a long-studied problem in the communications domain. Often, chan...
Research
Lifelong Kindergarten

Engaging people in creative learning experiences
Project Research

Food Server

The OpenAg™ Food Server is a shipping container-sized, controlled environment agriculture technology that can be built to utilize hydropo...
Project Research

Personal Food Computer

The OpenAg™ Personal Food Computer is a tabletop-sized, controlled environment agriculture technology platform that uses robotic systems ...
Article Research

Students push to speed up artificial intelligence adoption in Latin America

To help the region catch up, students organize summit to bring Latin policymakers and researchers to MIT.
Project Research

Reversed Urbanism

Predicting Urban Performance through Behavioral Patterns in Temporal Telecom DataThis study explores a novel method to analyze diverse be...
Article Research

Machine learning shows no difference in angina symptoms between men and women

Finding could help overturn the prevailing notion that men and women experience angina differently.
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...
Research
Open Agriculture (OpenAg)

Open Agriculture Initiative (OpenAg)
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 ...
Archived
Project Research

Predicting Trust Between People

Machine learning model outperforms human judgementOur computational trust model is capable of predicting—above human accuracy—the degree ...
Archived
Archived
Project Research

Intentional Inference of Emotions

Emotion recognition modeled as a goal-directed process!
Archived
Archived
Project Research

Human-Robot Trust

Unconventional mixing of research fields introduces a new method to study human behavior using social robots.
Archived
Archived
Project Research

Artificial listener with social intelligence

A social robot modifies its behavior to change what you think about it!
Archived
Project Research

Lensing: Cardiolinguistics for Atypical Angina

Conversations between two individuals—whether between doctor and patient, mental health therapist and client, or between two people roman...
Research
Civic Media

Creating technology for social change
Article Research

Detecting patients’ pain levels via their brain signals

System could help with diagnosing and treating noncommunicative patients.
Project Research

Deep Reinforcement Learning for Pain Management

Opioid therapy is the cornerstone of management of pain in the ICU. However, opioids present numerous side effects and are highly addicti...
Research
Molecular Machines

Engineering at the limits of complexity with molecular-scale parts
Research
Ethics and Governance of Artificial Intelligence

Ethics and Governance of Artificial Intelligence
Archived
Research
Collective Learning

Transforming data into knowledge
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Personal Robots

Building socially engaging robots and interactive technologies to help people live healthier lives, connect with others, and learn better
Publication Research

Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach

Rudovic, O., Zhang, M, Schuller, B., Picard, R. "Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach", In 2019 International Conference on Multimodal Interaction (ICMI ’19), October 14–18, 2019, Suzhou, China. ACM, New York, NY, USA.
Project Research

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 imag...
Publication Research

Machine learning algorithms for classification of microcirculation images from septic and non-septic patients

Perikumar Javia, Rana A, Shapiro NI, Shah P. IEEE Xplore, Proceedings of 17th International Conference on Machine Learning and Applications (2018) (Conference acceptance rate: 14%). DOI: 10.1109/ICMLA.2018.00097
Publication Research

Computational histological staining and destaining of prostate core biopsy RGB images with generative adversarial neural networks

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
Publication Research

Automated segmentation of gingival diseases from oral images

A. Rana, G. Yauney, L. C. Wong, O. Gupta, A. Muftu, P. Shah. IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT). IEEE (2017). DOI: 10.1109/HIC.2017.8227605
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
Project Research

Digital Clinical Trials with Novel Machine Learning and AI Architectures

Dr. Shah was an invited speaker and a contributor at The National Cancer Policy Forum developed workshop series at the The National Acade...
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 ...
Archived
Research
Advancing Wellbeing

Advancing Wellbeing
Project Research

MoCho: Mobility choices and societal impacts

MoCho (short for "Mobility Choices") is a CityScope module focused on mobility choices and societal impacts. This tool helps pr...
Project Research

AI + Ethics Curriculum for Middle School

How do we raise conscientious consumers and designers of AI?Children today live in the age of artificial intelligence. On average, US chi...
Publication Research

What's your MoCho? Real-time Mode Choice Prediction Using Discrete Choice Models and a HCI Platform

Doorley, Ronan & Noyman, Ariel & Sakai, Yasushi & Larson, Kent. (2019). What's your MoCho? Real-time Mode Choice Prediction Using Discrete Choice Models and a HCI Platform. UrbComp SIGKDD 2019
Project Research

The Deep Image of the City

How do you image a city that doesn't exist? DeepScope is a novel platform for interactive, real-time, and setup-less urban design vi...
Article Research

Bristol-Myers Squibb turns to an AI startup to accelerate cancer research

Pratik Shah speaks on the challenges and opportunities for artificial intelligence and machine learning adoption in clinical development.
Article Research

AI-powered food computers designing new ways of growing crops

MIT initiative is producing climate recipes for tastier crops.
Research
Scalable Cooperation

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

Generation AI: Teaching a new kind of tech savvy

This summer, the Personal Robots group will be hosting a week-long workshop at the MIT Media Lab to teach kids about AI and ethics!
Project Research

DeepMoji

Emotional content is an important part of language. There are many use cases now showing that natural language processing is becoming an ...
Post Research

Affective Computing researchers win Best Paper Award at IEEE BHI 2019

"Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks," by Terumi Umematsu, Akane Sano, Sara Taylor, an...
Publication Research

Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks

Umematsu, T., Sano, A., Taylor, S., and Picard, R. "Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks." IEEE International Conference on Biomedical and Health Informatics (BHI), Chicago, Illinois, May 2019. (BEST PAPER AWARD - 1st Prize)
Project Research

Improving wellbeing prediction performance using temporal machine learning models

This project aims to improve the prediction accuracy of wellbeing (stress, mood, and health levels) using temporal machine learning model...