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asl
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.
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).
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.
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…
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…
This is an open source geospatial exploration tool. Using various public APIs including Open Street Map and the United States Census, we ca…
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 LI…
This project focused on pedestrian accessibility in collaboration with Singapore Centre for Liveable Cities. Researchers and planners came …
This project is part of a parallel research endeavor with GSK Manufacturing. By simulating how scientists at the Upper Providence site inte…
This project is the first of two projects in collaboration with GSK. We are developing a computational simulation that allows a human user …
We recently led a workshop in Saudi Arabia, with staff from the Riyadh Development Authority, to test a new version of our CityScope platfo…
The Storytelling project uses machine-based analytics to identify the qualities of engaging and marketable media. By developing models with…
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
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 res…
A new review of face recognition software found that, when identifying gender, the software is most accurate for men with light skin&n…
Examination of facial-analysis software shows error rate of 0.8 percent for light-skinned men, 34.7 percent for dark-skinned women.
New research out of MIT’s Media Lab is underscoring what other experts have reported or at least suspected before: facial recognition techn…
Developed by Ira Winder with the MIT Centre for Transportation and Logistics, the model seeks to use real population data and create a simu…
Facebook volunteers and work-at-home moms might be making city planning decisions, thanks to AI research conducted by MIT scientists. Resea…
Using computer vision to examine Google Street View, the researchers analyzed how streets and blocks have changed in five American cities.
Tested with five American cities, Streetchange quantifies the physical improvement or deterioration of neighborhoods.
A recently published paper in the Proceedings of the National Academy of Sciences (PNAS) looks at factors that predict neighborhood change.
Researchers have used machine learning to quantify the physical improvement or deterioration of neighborhoods in five American cities.
With over a billion people carrying camera-phones worldwide, we have a new opportunity to upgrade the classic bar code to encourage a flexi…
Paiva, Prada, W., (Eds.)., 4738, datePaiva, Prada, W., (Eds.)., 4738, datePaiva, Prada, W., (Eds.)., 4738, date