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
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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
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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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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.
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This 2019 MIT Sloan case by Zeynep Ton and Katie Bach describes how the executive team at Mud Bay, a privately held pet store chain based in Olympia, Washington, implemented a good jobs strategy by offering better wages and benefits and seeking to recoup the costs by increasing sales growth and lowe...
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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.
MIT Sloan has hundreds of seminars every semester bringing in the world’s leading experts on topics from sustainability to finance. Find out more.
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In a new book about the history of Kendall Square from the MIT Press, author Robert Buderi chronicles the area's biggest successes in innovation.
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Matt Beane, SM ’14, PhD ’17, argues those using artificial intelligence will become incrementally de-skilled unless they are consciously upskilling at the same time.
Researchers at MIT Sloan have calculated the chances of catching coronavirus when aloft, though pandemic conditions keep shifting