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.

Integrating robots into a manufacturing system is often prohibitively expensive. A new approach could change that.

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.

Generative artificial intelligence can help designers come up with new ideas, according to a new study.

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.

‘Those ad-hoc interactions are what people miss in today’s work-from-home environment.’

Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.