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.
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.
Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.
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
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.
Learn about collaboration opportunities, resources, and ways to contribute to shaping effective climate policies through data-driven solutions and research
Learn how The Simulators at the Climate Pathways Policy Center use advanced modeling tools to analyze and design effective climate solutions
Explore the role of simulations in shaping climate pathways at the Climate Pathways Policy Center
Advancing evidence-based climate change solutions through interactive simulations and research insights.
