New maps show airplane contrails over the U.S. dropped steeply in 2020
The computer-vision technique behind these maps could help avoid contrail production, reducing aviation’s climate impact.
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Laboratory for Information and Decision Systems (LIDS)
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Preparing global online learners for the clean energy transition
MIT Energy Initiative edX course asks students to rethink how we operate power systems.
Systems scientists find clues to why false news snowballs on social media
A new model shows that the more polarized and hyperconnected a social network is, the more likely misinformation will spread.
Machine learning speeds up vehicle routing
Strategy accelerates the best algorithmic solvers for large sets of cities.
Avoiding shortcut solutions in artificial intelligence
A new method forces a machine learning model to focus on more data when learning a task, which leads to more reliable predictions.
Making machine learning more useful to high-stakes decision makers
A visual analytics tool helps child welfare specialists understand machine learning predictions that can assist them in screening cases.
One giant leap for the mini cheetah
A new control system, demonstrated using MIT’s robotic mini cheetah, enables four-legged robots to jump across uneven terrain in real-time.
3 Questions: Kalyan Veeramachaneni on hurdles preventing fully automated machine learning
Researchers hope more user-friendly machine-learning systems will enable nonexperts to analyze big data — but can such systems ever be completely autonomous?
Making self-driving cars safer through keener robot perception
PhD student Heng Yang is developing algorithms to help driverless vehicles quickly and accurately assess their surroundings.
System trains drones to fly around obstacles at high speeds
New algorithm could enable fast, nimble drones for time-critical operations such as search and rescue.
Sertac Karaman named director of the Laboratory for Information and Decision Systems
Associate professor of aeronautics and astronautics will head MIT’s longest continuously-running lab.
Collaborators in climate action
Symposium highlights ambitious goals of MIT–industry research targeting technologies to reduce greenhouse gas emissions.
One-stop machine learning platform turns health care data into insights
Cardea software system aims to bring the power of prediction to hospitals by streamlining complex machine learning processes.
Four MIT researchers elected to the National Academy of Engineering for 2021
New members have made advances in computer vision, autonomous aerospace vehicles, electric power system analysis and control, and power electronics technology.
Examining the world through signals and systems
Assistant Professor Cathy Wu aims to help autonomous vehicles fulfill their promise by better understanding how to integrate them into the transportation system.