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Inventing, building, and deploying wireless sensor technologies to address complex problems in society, industry, and ecology
Putting people and intelligent machines in a creative, symbiotic loop
Video has evolved from an esoteric production to the default means of online and broadcast communication. We accept a wrong or lengthy vide…
The goal of this project is to develop techniques to remove identifying information from wearable and phone data to protect patients’ priva…
Converting the patterns of nature and the human body into beneficial signals and energy
Advancing human wellbeing by developing new ways to communicate, understand, and respond to emotion
Extending expression, learning, and health through innovations in musical composition, performance, and participation
Promoting deeper learning and understanding in human networks
Exploring the essence of code as a creative medium
Looking beyond smart cities
Making the invisible visible–inside our bodies, around us, and beyond–for health, work, and connection
This robotic system uses radio frequency signals, computer vision, and complex reasoning to efficiently find items hidden under a pile.
#ZoomADay was a year long project exploring the creation and use of synthetic characters and deep fakes for use in online telepresence and …
Transforming data into knowledge
Changing storytelling, communication, and everyday life through sensing, understanding, and new interface technologies
FuseBot is a robotic system that can efficiently find and retrieve both RFID tagged and untagged target objects in line-of-sight, non-line-…
Algorithmic auditing has emerged as a key strategy to expose systematic biases embedded in software platforms, yet scholarship on the impac…
The Gender Shades project pilots an intersectional approach to inclusive product testing for AI.Algorithmic Bias PersistsGender Shades is a…
One of the principal benefits of counterfactual explanations is allowing users to explore "what-if" scenarios through what does not and can…
Automatic emotion recognition has become a well-established machine learning task in recent years. The sensitive and subjective nature of e…
In collaboration with Massachusetts General Hospital, we are conducting a clinical trial exploring objective methods for assessing depressi…
Research studies led by Dr. Shah in his laboratory have created new paradigms for using low-cost images captured using simple optical …
Photorythms: a computational art-based inquiry of portrait photographyPhotorythms investigates whether computational methods such as facial…
By predicting sparse shadow cues, our physics-inspired machine learning algorithm can reconstruct the underlying 3D scene. Abstract. W…
In photography, illuminating a subject directly using an on-camera flash can result in unflattering photos. To avoid this, photographers o…
Depending on the operational environment of an autonomous system, a great deal of perceptual uncertainty may be introduced to an object det…
Navigation for autonomous UAVS (unmanned aerial vehicles) is a complex problem and physical field testing of associated tasks introduces a …
Many tasks are not easily defined and/or too complex for supervised machine learning approaches. For these reasons, a technique known as&nb…
Technical summary: Future of clinical development is on the verge of a major transformation due to convergence of large new digital data so…
Research studies led by Dr. Shah, in collaboration with the United States Food and Drug Administration (FDA), have develope…
An exploration of how advances in deep learning and generative models can be used to help us synthesize our ideas.
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
Consider a small object sitting on a desk in your living room. The object is illuminated by light sources from all directions—this includes…
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…
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 con…
Boroushaki, Tara, et al. "Robotic Grasping of Fully-Occluded Objects using RF Perception." IEEE International Conference on Robotics and Automation (ICRA 2021).
MIT City Science is working with HafenCity University to develop CityScope for the neighborhood of Rothenburgsort in Hamburg, Germany. The …
Tangible Swarm is a tool that displays relevant information about a robotics system (e.g., multi-robot, swarm, etc.) in real time whil…
The WSJ covers research from the Signal Kinetics group and other labs, universities, and companies working on AI-enabled devices.
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 th…
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 u…
We built a low-cost and open source 405 nm imaging device to capture red fluorescence signatures associated with the oral biomarker porphyr…
General overview:Sepsis, a life-threatening complication of bacterial infection, leads to millions of worldwide deaths requires significant…
Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for health conditions. We report an automated…
We report a novel method that processes biomarker images collected at the point of care and uses machine learning algorithms to provide a f…
The full text of our paper is available here.Sometimes the thing that we want to see is hidden behind something else. A neighboring vehicl…
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.
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 for…
The relationship between news content and its presentation has been a long-studied problem in the communications domain. Often, channe…
City Science researchers are developing a slew of tangible and digital platforms dedicated to solving spatial design and urban planning cha…
Two-dimensional radiographs are commonly used for evaluating sub-surface hard structures of teeth, but they have low sensitivity for early …
The Electome: Where AI meets political journalismThe Electome project is a machine-driven mapping and analysis of public sphere content and…
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 th…