New AI tool generates realistic satellite images of future flooding
The method could help communities visualize and prepare for approaching storms.
The method could help communities visualize and prepare for approaching storms.
Director of the MIT Humanitarian Supply Chain Lab, within the Center for Transportation and Logistics, honored for “leading the way ... to help disaster survivors in their own backyards and around the world.”
A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.
TorNet, a public artificial intelligence dataset, could help models reveal when and why tornadoes form, improving forecasters' ability to issue warnings.
The new approach “nudges” existing climate simulations closer to future reality.
The sustainable and cost-saving structure could dissipate more than 95 percent of incoming wave energy using a small fraction of the material normally needed.
An analysis of the 2011 nuclear accident reveals a need for more preparation, training, and protocols for responding to low-probability accidents.
Using New York as a test case, the model predicts flooding at the level experienced during Hurricane Sandy will occur roughly every 30 years by the end of this century.
As Canada’s wildfires continue to be felt downwind, MIT experts weigh in on what to expect in the coming months, with wildfire season underway.
Students, faculty, and staff have responded quickly in the wake of the disaster.
Miho Mazereeuw, an architect of built and natural environments, looks for new ways to get people ready for natural disasters.
Lincoln Laboratory’s Agile MicroSat will be the first small satellite to demonstrate long-duration, low-altitude flight with autonomous maneuvering.
Failing to consider neighborhood texture in hurricane-related wind loss models may undervalue stronger construction by over 80 percent.
MIT Refugee Action Hub event convene learners, activists, and educators from around the world in storytelling and collaboration.
A life-detecting radar, a microscale motor, and a quantum network architecture are among this year's most innovative new technologies.