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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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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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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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Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.
Economist Anna Stansbury is joining MIT Sloan’s Work and Organization Studies Group as an Assistant Professor this September, and she will also be part of the faculty of the MIT Institute for Work and Employment Research (IWER).
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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
Read the Spring 2023 newsletter of the MIT Institute for Work and Employment Research
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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If U.S. workers could select the characteristics of a labor organization to represent them, what would they choose? That’s the question explored in an intriguing new journal article by Alexander Hertel-Fernandez of Columbia University’s School of International and Public Affairs, William Kimball of ...
