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.

The initiative is open to individuals, businesses and groups with the goal of developing a diverse, global community of problem solvers.