To date, two Media Lab projects have received RAPID grants for work related to the Covid-19 pandemic.
Recognizing individuals who demonstrate a real commitment to building a diverse and inclusive tech community and making a Better World
These awards recognize outstanding achievement and innovation in the field.
June 3, 2020
These are public talks via webcast every Wednesday at 10am. Safe Paths—an MIT-led, free, open source technology that enabl...
May 27, 2020
This award is given out annually by the MIT Graduate Student Council and presented at the Awards Convocation ceremony.
May 6, 2020
Ramesh Raskar gives an update on his nonprofit’s progression in developing the Safe Paths mobile app and Safe Places web tool.
Ramesh Raskar details these tools and discusses the advantages and disadvantages of different contact tracing methods.
Your phone soon might know if you have spent time near someone with the COVID-19 virus.
Researchers are racing to achieve the benefits of location-tracking without the surveillance.
To help explain how this works is Ramesh Raskar, an associate professor at MIT’s Media Lab.
The app is designed to let people discover if they've crossed paths with someone who's been infected with COVID-19.
A multinational team develops new tools to slow the spread of pandemics.
A system that enables smartphones to transmit “chirps” to nearby devices could notify people if they have been near an infected person.
Private Kit: Safe Paths shares information about your movements in a privacy-preserving way—and could let health officials tackle COVID-19.
China, South Korea used smartphone apps to monitor people with the disease. Americans have different views of privacy and data collection.
The Media Lab community brings creativity, expertise, and research to the pandemic
The MIT Media Lab, a hallowed digital playground and research center into media technologies, is celebrating its 25th anniversary. We'll ...
"The research is…unique in its approach to enable seeing through dense fog for self-driving cars and augmented driving."
On May 11, 2019 Ramesh Raskar was the doctoral hooding ceremony keynote speaker at UNC Chapel Hill Commencement. He shared the ...
MIT Media Lab fosters innovation with its motto of 'imagine and realise.'
Guy Satat defends his dissertation on April 9, 2019.
MIT Media Lab professor Ramesh Raskar talks about how his high-tech inventions and initiatives can help solve real-world problems.
The 2019 Forbes 30 Under 30 list includes at least three members of the Media Lab community.
Technique can capture a scene at multiple depths with one shutter click—no zoom lens needed
Media Tyler PhD students among 14 collegiate inventors awarded the 2018 Lemelson-MIT Student Prize
Guy Satat and Tyler Clites won in the "Drive It!" and "Cure It!" categories, respectively
Developed by MIT researchers, the technology could be a boon for drivers and driverless cars
New 3D camera research from the Media Lab’s Camera Culture group was selected for the Best Papers Special Issue of the ICCV.
He is passionate about developing imaging technologies that solve great challenges in society, science, and health
Spatial resolution, spectral contrast, and occlusion are three major bottlenecks in current imaging technologies for...
Part of a suite of portable projects for eyecare, CATRA is a new way to detect and quantify cataracts. CATRA is a compact eyepiece attach...
Out of (Line of) Sight, But Not Out of View. The Camera Culture group at the Media Lab has created CORNAR: Looking around Corners with Fe...
eyeMITRA allows anyone to easily and non-invasively explore the back of the eye, opening possibilities for new assessments of eye health ...
Technique could lead to cameras that can handle light of any intensity, audio that doesn’t skip or pop.
Computational method improves the resolution of time-of-flight depth sensors 1,000-fold.
Tested with five American cities, Streetchange quantifies the physical improvement or deterioration of neighborhoods.
View past newsletters to get updates on group research, awards, and initiatives:
Machine learning is helping urbanists confirm–or disprove–long-standing theories about cities.
MIT researchers have developed a system that can produce images of objects shrouded by fog so thick that human vision can’t penetrate it.
When a group of forensic dentistry experts set out in 2016 to investigate what may have caused some peculiar holes in a T. rex jaw, they ...
One day, you're a terrible killing and eating machine. Flash forward 65 million years, and you're being conquered by a $150 gaming access...
Ramesh Raskar receives award at ACM SIGGRAPH 2017Raskar, who directs the Camera Culture research group at the MIT Media Lab, is this...
Streetchange uses computer vision and Google Street View to understand urban transformations over time.
The point isn’t to create a new startup, the point is to create a culture of innovation.By Tobi AmosMIT Media Lab
Facebook volunteers and work-at-home moms might be making city planning decisions, thanks to AI research conducted by MIT scientists. Res...
Researchers have used machine learning to quantify the physical improvement or deterioration of neighborhoods in five American cities.
Using computer vision to examine Google Street View, the researchers analyzed how streets and blocks have changed in five American cities.
A recently published paper in the Proceedings of the National Academy of Sciences (PNAS) looks at factors that predict neighborhood change.
System with $150 worth of hardware offers alternative to 3-D scanners that cost 200 times as much
MIT Media Lab researchers have created a quick, simple, and inexpensive way to use mobile phones to measure refractive errors of the eye,...
A conversation with Ramesh Raskar was published as an Impact Spotlight by the Lemelson Foundation. An excerpt is below.  ...