10 big data blunders to avoid
By
Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.
By
Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.
By
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
By
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.
By
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.
By
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.
By
What factors explain the large differences in employment rates and wages between men and women in South Korea? That’s a question explored in a paper by MIT Sloan Assistant Professor Anna Stansbury, Jacob Funk Kirkegaard of the German Marshall Fund, and Harvard University Professor Karen Dynan that w...
Three members of the faculty of the MIT Institute for Work and Employment Research (IWER) have received seed grants from MIT to produce papers exploring some of the societal impacts of generative artificial intelligence.
The September 2023 issue of the IWER newsletter "Fostering Economic Mobility Through Good Jobs," is now available online.
By
Hint: They Involve food.
By
New research finds that when U.S. companies switched away from standardized pay rates for blue-collar jobs in the late 1970s and 1980s, workers’ real wages declined.