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MIT CSAIL


Among the thousands of programming languages in existence are hundreds of “domain-specific languages” (DSLs) that have been adapted from traditional languages so that non-programmers can do their work more efficiently. DSLs are used in a wide range of fields, from web development (HTML) and database management (SQL) to genetics and machine learning (TensorFlow). One challenge …

To catch cancer earlier, we need to predict who is going to get it in the future. The complex nature of forecasting risk has been bolstered by artificial intelligence (AI) tools, but the adoption of AI in medicine has been limited by poor performance on new patient populations and neglect to racial minorities. Two years …

Scientists often train computers to learn in the same way that young children do – by setting them loose and letting them play with themselves. Kids interact with their environments, play games on their own, and gradually get better at doing things. Many artificial intelligence (AI) systems tout their ability to “learn from scratch,” but …

When you see headlines about artificial intelligence (AI) being used to detect health issues, that’s usually thanks to a hospital providing data to researchers. But such systems aren’t as robust as they could be, because such data is usually only taken from one organization. Hospitals are understandably cautious about sharing data in a way that …

For all the progress researchers have made with machine learning in helping us doing things like crunch numbers, drive cars and detect cancer, we rarely think about how energy-intensive it is to maintain the massive data centers that make such work possible. Indeed, a 2017 study predicted that, by 2025, internet-connected devices would be using 20 …