A new tool brings the benefits of AI programming to a much broader class of problems.
More than $1 million in funding available to selected Solver teams and fellows.
Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.
A new experiential learning opportunity challenges undergraduates across the Greater Boston area to apply their AI skills to a range of industry projects.
New fellows are working on health records, robot control, pandemic preparedness, brain injuries, and more.
MIT researchers developed and studied a customized AI training program for users with varied backgrounds, which could be delivered across large organizations.
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.
Built on recent advances in machine learning, the model predicts how well individuals will produce and comprehend sentences.
But the harm from a discriminatory AI system can be minimized if the advice it delivers is properly framed, an MIT team has shown.
CAST Visiting Artist Andreas Refsgaard engages the MIT community in the ethics and play of creative coding.