Better fact-checking for fake news
New research reveals biases in fake news datasets and improves the use of automatic detectors.
Reproducing paintings that make an impression
CSAIL’s new RePaint system aims to faithfully recreate your favorite paintings using deep learning and 3-D printing.
Building AI systems that make fair decisions
Harini Suresh, a PhD student at MIT CSAIL, studies how to make machine learning algorithms more understandable and less biased.
Summit discusses impact of machines on jobs, productivity, and the global economy
Two-day “AI and the Future of Work” summit at MIT focused on the artificial intelligence revolution and the workplace.
Teleoperating robots with virtual reality
A virtual reality system from the Computer Science and Artificial Intelligence Laboratory could make it easier for factory workers to telecommute.
Using machine learning to improve patient care
New CSAIL research employs many types of medical data, including electronic health records, to predict outcomes in hospitals.
Drones that drive
CSAIL team’s system of quadcopters that fly and drive suggest another approach to developing flying cars.
Danielle Olson: Building empathy through computer science and art
CSAIL PhD student creates immersive media to help users understand each other’s backgrounds and feelings.