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.
Laboratory for Information and Decisions Systems (LIDS)
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.
“I know what you bought at Chipotle”
A new algorithm offers insights into consumer spending by identifying what someone purchased from only the bill total.
Making smart thermostats more efficient
A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.
Method finds hidden warning signals in measurements collected over time
A new deep-learning algorithm could provide advanced notice when systems — from satellites to data centers — are falling out of whack.
Understanding how people make sense of information in the information age
Graduate student Manon Revel uses quantitative methodologies to investigate how advertising in online publications affects trust in journalism.
The real promise of synthetic data
MIT researchers release the Synthetic Data Vault, a set of open-source tools meant to expand data access without compromising privacy.