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10 big data blunders to avoid
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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.
Using data science to forecast clinical trial outcomes
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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
Robots could give humans ‘superpowers’
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In a new book, MIT roboticist Daniela Rus looks at the powers and limitations of robots and how humans can work with them to unlock new capabilities.
Artificial intelligence is now everyone’s business
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AI is a tool to get things done. To use it properly and generate value, organizations need the right capabilities — including a good understanding of data.
Solving Food and Agriculture Challenges
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Professors Retsef Levi and Karen Zheng discussed their work in addressing food and agriculture issues across the globe at MIT Sloan Reunion 2023.
Highlights from MIT Sloan Reunion 2023
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Over 1,300 Sloanies and their guests returned to campus in early June to attend MIT Sloan Reunion 2023.
Making Property Assessments as Simple as Snapping a Picture
The technology of MIT alumni-founded Hosta AI creates detailed property assessments from photos.
Helping Companies Deploy AI Models More Responsibly
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.