Computer Science and Artificial Intelligence Laboratory (CSAIL)
Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.
Stefanie Jegelka seeks to understand how machine-learning models behave, to help researchers build more robust models for applications in biology, computer vision, optimization, and more.
Seven faculty and alumni are among the winners of the prestigious honors for electrical engineers and computer scientists.
But the harm from a discriminatory AI system can be minimized if the advice it delivers is properly framed, an MIT team has shown.
With the selection of 16 inaugural postdocs, the program seeks to develop the next generation of faculty leaders and help guide the school toward a more diverse and inclusive culture.
This computational tool can generate an optimal design for a complex fluidic device such as a combustion engine or a hydraulic pump.
Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.
New technique significantly reduces training and inference time on extensive datasets to keep pace with fast-moving data in finance, social networks, and fraud detection in cryptocurrency.