Researchers launched an in-house Data Science and Artificial Intelligence (DSAI) challenge to beat MIT’s machine-learning models for predicting clinical trial outcomes. The results are now available.
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Integrating robots into a manufacturing system is often prohibitively expensive. A new approach could change that.
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Machine learning is a powerful form of artificial intelligence that is affecting every industry. Here’s what you need to know about its potential and limitations and how it’s being used.
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Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.
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MIT Sloan and CSAIL researchers apply artificial intelligence techniques to one of the largest datasets of clinical trial outcomes to handicap the drug and device approval process
MassRobotics, a nonprofit founded by several MIT alumni, is advancing an industry that will play an increasingly important role in our lives.
MIT spinout Verta, founded by Manasi Vartak, SM ’14, PhD ’18, offers tools to help companies introduce, monitor, and manage machine-learning models safely and at scale.
CSAIL is committed to pioneering new approaches to computing that will bring about positive changes in the way people around the globe live, play, and work.
The technology of MIT alumni-founded Hosta AI creates detailed property assessments from photos.
In collaboration with MIT CSAIL, the MIT MIMO Symposium May 9 will address AI. The theme is Accelerate Impact.
