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Making the invisible visible–inside our bodies, around us, and beyond–for health, work, and connection
An exploration of how advances in deep learning and generative models can be used to help us synthesize our ideas.
Looking beyond smart cities
Advancing human wellbeing by developing new ways to communicate, understand, and respond to emotion
Consider a small object sitting on a desk in your living room. The object is illuminated by light sources from all directions—this includ...
Inventing, building, and deploying wireless sensor technologies to address complex problems in society, industry, and ecology
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...
Tara Boroushaki, Isaac Perper, Mergen Nachin, Alberto Rodriguez, Fadel Adib. "RFusion: Robotic Grasping via RF-Visual Sensing and Learning." ACM Conference on Embedded Networked Sensor Systems 2021.
RFusion is a robotic system that can search for and retrieve items in line-of-sight, non-line-of-sight, and fully occluded settings. It c...
Boroushaki, Tara, et al. "Robotic Grasping of Fully-Occluded Objects using RF Perception." IEEE International Conference on Robotics and Automation (ICRA 2021).
Promoting deeper learning and understanding in human networks
MIT City Science is working with HafenCity University to develop CityScope for the neighborhood of Rothenburgsort in Hamburg, Germany. Th...
Tangible Swarm is a tool that displays relevant information about a robotics system (e.g., multi-robot, swarm, etc.) in real time wh...
The WSJ covers research from the Signal Kinetics group and other labs, universities, and companies working on AI-enabled devices.
Real World Data (RWD) and Real World Evidence (RWE) are playing an increasing role in healthcare decisions to support innovative use of E...
Research in our laboratory reduces dependence on specialized medical imaging devices, biological and chemical processes and creates new p...
Health 0.0
#ZoomADay was a year long project exploring the creation and use of synthetic characters and deep fakes for use in online telepresence an...
The goal of this project is to develop techniques to remove identifying information from wearable and phone data to protect patients’ pri...
One of the principal benefits of counterfactual explanations is allowing users to explore "what-if" scenarios through what does not and c...
Technical summary: Future of clinical development is on the verge of a major transformation due to convergence of large new digital data ...
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
Can robots find and grasp hidden objects?Robots are not capable of handling tasks as simple as restocking grocery store shelves as ...
System uses penetrative radio frequency to pinpoint items, even when they’re hidden from view.
Camera Culture head Ramesh Raskar talks to Rashmi Mohan about his interdisciplinary research and entrepreneurial endeavors.
View the main City Science Andorra project profile.Research in dynamic tools, mix users (citizens, workers) amenities, services, and land...
We built a low-cost and open source 405 nm imaging device to capture red fluorescence signatures associated with the oral biomarker porph...
General overview:Sepsis, a life-threatening complication of bacterial infection, leads to millions of worldwide deaths requires significa...
Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for health conditions. We report an automat...
We report a novel method that processes biomarker images collected at the point of care and uses machine learning algorithms to provide a...
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...
Henley, C., Maeda, T., Swedish, T., & Raskar, R. (2020). Imaging Behind Occluders Using Two-Bounce Light. Computer Vision – ECCV 2020 Lecture Notes in Computer Science, 573-588. doi:10.1007/978-3-030-58526-6_34
The startup OpenSpace is using 360-degree cameras and computer vision to create comprehensive digital replicas of construction sites.
In collaboration with Massachusetts General Hospital, we are conducting a clinical trial exploring objective methods for assessing depres...
Changing storytelling, communication, and everyday life through sensing, understanding, and new interface technologies
Transforming data into knowledge
Computer vision uncovers predictors of physical urban change
www.ajl.orgAn unseen force is rising—helping to determine who is hired, granted a loan, or even how long someone spends in prison. This f...
The relationship between news content and its presentation has been a long-studied problem in the communications domain. Often, chan...
City Science researchers are developing a slew of tangible and digital platforms dedicated to solving spatial design and urban planning c...
Automatic emotion recognition has become a well-established machine learning task in recent years. The sensitive and subjective nature of...
Two-dimensional radiographs are commonly used for evaluating sub-surface hard structures of teeth, but they have low sensitivity for earl...
The Electome: Where AI meets political journalismThe Electome project is a machine-driven mapping and analysis of public sphere content a...
A.I. systems are shaped by the priorities and prejudices…of the people who design them, a phenomenon that I refer to as "the coded gaze."
This project depicts the design, deployment and operation of a Tangible Regulation Platform, a physical-technological apparatus made for ...
Algorithmic auditing has emerged as a key strategy to expose systematic biases embedded in software platforms, yet scholarship on the imp...
This is an open source geospatial exploration tool. Using various public APIs including Open Street Map and the United States Census, we ...
MIT researchers have developed a system that can produce images of objects shrouded by fog so thick that human vision can’t penetrate it.
Seeing through dense, dynamic, and heterogeneous fog conditions. The technique, based on visible light, uses hardware that is similar to ...
This project focused on pedestrian accessibility in collaboration with Singapore Centre for Liveable Cities. Researchers and planners cam...
This project is part of a parallel research endeavor with GSK Manufacturing. By simulating how scientists at the Upper Providence site in...
This project is the first of two projects in collaboration with GSK. We are developing a computational simulation that allows a human use...
We recently led a workshop in Saudi Arabia, with staff from the Riyadh Development Authority, to test a new version of our CityScope plat...
The Storytelling project uses machine-based analytics to identify the qualities of engaging and marketable media. By developing models wi...
Ira Winder and the Tactile Matrix won the award for best demonstration at the IEEE Future Technologies Conference.
A case study implemented by Inioluwa Raji under the guidance of Joy Buolamwini
The Gender Shades project pilots an intersectional approach to inclusive product testing for AI.Algorithmic Bias PersistsGender Shades is...
All people are created equal, but in the eyes of the algorithm, not all faces are just yet.A new study from MIT and Microsoft r...
A new review of face recognition software found that, when identifying gender, the software is most accurate for men with light skin...