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A combination of AI and humans works best in tasks where humans outperform AI and in those that involve creating content.
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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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Generative artificial intelligence can help designers come up with new ideas, according to a new study.
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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Integrating robots into a manufacturing system is often prohibitively expensive. A new approach could change that.
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‘Those ad-hoc interactions are what people miss in today’s work-from-home environment.’
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The initiative is open to individuals, businesses and groups with the goal of developing a diverse, global community of problem solvers.
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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
