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asl
Invent new tangible and embodied interactions that inspire and engage people
Converting the patterns of nature and the human body into beneficial signals and energy
Making the invisible visible–inside our bodies, around us, and beyond–for health, work, and connection
Looking beyond smart cities
MIT City Science is working with HafenCity University to develop digital tools to enable more livable communities. In one project, the team…
Future Worlds | Design and action for the future we want to live in
Working with leading neuroscientist Richard Davidson and the Healthy Minds Institute, we are developing objective biomarkers to interpret a…
People and intelligent machines in a creative, symbiotic loop
Cultivating Creativity | Catalyzing a global movement enabling everyone to unlock and unleash their individual and collective creativity
Space Exploration Initiative
Inventing, building, and deploying wireless sensor technologies to address complex problems in society, industry, and ecology
Advancing human wellbeing by developing new ways to communicate, understand, and respond to emotion
Augmenting and mediating human experience, interaction, and perception with sensor networks
Connected Mind + Body | Revolutionizing the future of mental and physical wellbeing
This series of artwork repurposes the movement of light as the basis for sculpture, and investigate how architecture meets the natural worl…
Exploring the essence of code as a creative medium
Extending expression, learning, and health through innovations in musical composition, performance, and participation
Decentralized Society | Architecting the new internet for the good of the people
Tara Boroushaki, a PhD student in the Signal Kinetics group, explains how she's combined AR and wireless signals to find hidden objects.
Life with AI | Designing the future of smart systems to improve the human experience
City Science researchers are developing a slew of tangible and digital platforms dedicated to solving spatial design and urban planning cha…
McKinsey & Co. and LSM ask: Can we understand, and even predict, the relationship between video story content and audience consumption?
Photorythms: a computational art-based inquiry of portrait photographyPhotorythms investigates whether computational methods such as facial…
Although lidar is widely used for mapping the 3D geometry of surfaces, the technology has historically been challenged by specular, or mirr…
In photography, illuminating a subject directly using an on-camera flash can result in unflattering photos. To avoid this, photographers o…
Continuing the work of Liquid Movies, we introduce Liquid Learning, an extension for not simply recommending videos but encouraging people …
X-AR is an augmented reality (AR) system that gives humans "X-Ray Vision" X-AR is a new AR headset that enables users to see things th…
Many tasks are not easily defined and/or too complex for supervised machine learning approaches. For these reasons, a technique known as&nb…
Navigation for autonomous UAVS (unmanned aerial vehicles) is a complex problem and physical field testing of associated tasks introduces a …
Depending on the operational environment of an autonomous system, a great deal of perceptual uncertainty may be introduced to an object det…
By predicting sparse shadow cues, our physics-inspired machine learning algorithm can reconstruct the underlying 3D scene. Abstract. W…
FuseBot is a robotic system that can efficiently find and retrieve both RFID tagged and untagged target objects in line-of-sight, non-line-…
Recognizing and interpreting group behaviors is much more challenging than that of individual behaviors. Firstly, the system must perform w…
Press: - MIT News: Using reflections to see the world from new points of view- TechXplore, EuropaPress, La Nacion …
Physicist Sabine Hossenfelder discusses X-AR, the new research from the Media Lab’s Signal Kinetics group.
Using augmented reality, the X-AR system developed by the Signal Kinetics research group can guide users to find hidden objects.
Promoting deeper learning and understanding in human networks
Lu, C.*, Yu, Y.*, Karimireddy, S. P., Jordan, M. I., & Raskar, R. (2023). Federated Conformal Predictors for Distributed Uncertainty Quantification. Fortieth International Conference on Machine Learning (ICML 2023)
Video has evolved from an esoteric production to the default means of online and broadcast communication. We accept a wrong or lengthy vide…
A new computer vision system turns any shiny object into a camera of sorts, enabling an observer to see around corners or beyond obstruction
The device could help workers locate objects for fulfilling e-commerce orders or identify parts for assembling products.
Transforming data into knowledge
Be inspired by Rohit Prasad, SVP and Head Scientist, Alexa AI, Amazon, Tye Brady, Chief Technologist, Amazon Robotics, Dilip Kumar, VP, Phy…
We built a low-cost and open source 405 nm imaging device to capture red fluorescence signatures associated with the oral biomarker porphyr…
Two-dimensional radiographs are commonly used for evaluating sub-surface hard structures of teeth, but they have low sensitivity for early …
We report a novel method that processes biomarker images collected at the point of care and uses machine learning algorithms to provide a f…
Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for health conditions. We report an automated…
Technical summary: Future of clinical development is on the verge of a major transformation due to convergence of large new digital data so…
General overview:Sepsis, a life-threatening complication of bacterial infection, leads to millions of worldwide deaths requires significant…
Research studies led by Dr. Shah, in collaboration with the United States Food and Drug Administration (FDA), have develope…
Research studies led by Dr. Shah in his laboratory have created new paradigms for using low-cost images captured using simple optical …
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…
The goal of this project is to develop techniques to remove identifying information from wearable and phone data to protect patients’ priva…
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 …
Changing storytelling, communication, and everyday life through sensing, understanding, and new interface technologies
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…
An exploration of how advances in deep learning and generative models can be used to help us synthesize our ideas.