Natural disasters
Natural disasters

Natural disasters

Artificial Intelligence Civil and environmental engineering Climate Computer science and technology Earth and atmospheric sciences machine learning Natural disasters Profile Research School of Engineering Staff Technology and society Weather

Decoding the Arctic to predict winter weather

With the help of AI, MIT Research Scientist Judah Cohen is reshaping subseasonal forecasting, with the goal of extending the lead time for predicting impactful weather.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Autonomous vehicles computer-vision Disaster response Laboratory for Information and Decision Systems (LIDS) Lincoln Laboratory machine learning MIT Schwarzman College of Computing Natural disasters Research Robotics School of Engineering

Helping robots zero in on the objects that matter

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.

Artificial Intelligence Climate Climate change Computer modeling Data EAPS machine learning Natural disasters Policy Research School of Science Weather modeling

Making climate models relevant for local decision-makers

A new downscaling method leverages machine learning to speed up climate model simulations at finer resolutions, making them usable on local levels.

Algorithms Artificial Intelligence Climate change Data Disaster response Lincoln Laboratory machine learning Natural disasters Radar Research Technology and society Weather Weather modeling

An AI dataset carves new paths to tornado detection

TorNet, a public artificial intelligence dataset, could help models reveal when and why tornadoes form, improving forecasters’ ability to issue warnings.

Algorithms Artificial Intelligence Climate Climate change Computer modeling Defense Advanced Research Projects Agency (DARPA) Disaster response Earth and atmospheric sciences Environment Fluid dynamics Hurricanes machine learning Mechanical engineering Natural disasters Planetary science Research School of Engineering Weather

MIT-derived algorithm helps forecast the frequency of extreme weather

The new approach “nudges” existing climate simulations closer to future reality.