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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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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 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.
Learn about some of the recent work from MIT researchers and their colleagues on reducing greenhouse gas emissions in the building sector.
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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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
Climate Pathways Policy Center recognized for driving impactful climate solutions and fostering collaboration for a sustainable future.
The Climate Policy Center will connect current and future climate research to policy, measuring the impact and implications of a variety of technologies on the climate system as a whole.
