NASA
NASA

NASA

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Computer science and technology Data Electric grid machine learning MIT Schwarzman College of Computing NASA Networks Research School of Engineering Software Transportation

Learning how to predict rare kinds of failures

Researchers are developing algorithms to predict failures when automation meets the real world in areas like air traffic scheduling or autonomous vehicles.

Alumni/ae Artificial Intelligence Bioengineering and biotechnology Biology Brain and cognitive sciences Chemical engineering Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data DNA EAPS Mechanical engineering NASA Profile RNA School of Engineering School of Science Staff Whitehead Institute

At the core of problem-solving

Stuart Levine ’97, director of MIT’s BioMicro Center, keeps departmental researchers at the forefront of systems biology.

Aeronautical and astronautical engineering Artificial Intelligence Climate change computer-vision Disaster response EAPS Earth and atmospheric sciences Environment Hurricanes Imaging machine learning Media Lab NASA Research Satellites School of Engineering School of Science Science communications Weather

New AI tool generates realistic satellite images of future flooding

The method could help communities visualize and prepare for approaching storms.

Algorithms Analytics apps Artificial Intelligence Climate change Collaboration Computer science and technology Data Digital technology Education, teaching, academics Environment Global Human-computer interaction Internet K-12 education machine learning Media Lab MIT Schwarzman College of Computing NASA Office of Open Learning Open access Programming social media Space, astronomy and planetary science Special events and guest speakers STEM education Technology and society

“They can see themselves shaping the world they live in”

Developed by MIT RAISE, the Day of AI curriculum empowers K-12 students to collaborate on local and global challenges using AI.

Algorithms Artificial Intelligence Climate change Computer modeling Data Lincoln Laboratory machine learning NASA Research Satellites Weather Weather modeling

Using deep learning to image the Earth’s planetary boundary layer

Lincoln Laboratory researchers are using AI to get a better picture of the atmospheric layer closest to Earth’s surface. Their techniques could improve weather and drought prediction.

Artificial Intelligence Autonomous vehicles Computer science and technology Data Drones IDSS Laboratory for Information and Decision Systems (LIDS) machine learning Mechanical engineering MIT Schwarzman College of Computing NASA Physics Research Robotics Robots School of Engineering

A simpler method for learning to control a robot

Researchers develop a machine-learning technique that can efficiently learn to control a robot, leading to better performance with fewer data.