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.
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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A panel of practitioners explores how to solve worker shortages and offers three best practices for success.
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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
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The designation increases JuMP’s visibility and status, and helps it attract funding
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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.
Join us for a conversation with MIT Sloan Professor Zeynep Ton drawing on insights from her latest book, 'The Case for Good Jobs." The event will take place on Thurs. Feb. 29, 2024, at the MIT Sloan School.
Join us a for a panel discussion with five MIT Sloan alumni in people-focused careers.