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Crowdsourcing to better forecast drug approvals
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.
How smaller firms can integrate collaborative robots
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Integrating robots into a manufacturing system is often prohibitively expensive. A new approach could change that.
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
JuMP achieves a new milestone in the open source community
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The designation increases JuMP’s visibility and status, and helps it attract funding
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.
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