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Artificial intelligence for augmentation and productivity

The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management. ....

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Exploring new methods for increasing safety and reliability of autonomous vehicles

MIT researchers suggest integrating autonomous vehicles into the transportation system could be aided by using remote human supervisors combined with cooperating autonomous vehicles. ....

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An interdisciplinary approach to fighting climate change through clean energy solutions

Decarbonizing the power grid is a central focus of work by MIT LIDS Principal Research Scientist Audun Botterud, who uses a range of computational methods across disciplines to study key problems that impact the use of renewable energy from electricity market interactions to building better batteries. ....

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Strengthening trust in machine-learning models

To build trust in probabilistic machine learning, MIT's Tamara Broderick and colleagues developed a “taxonomy of trust,” identifying where in data analysis processes confidence in its results might break down. ....

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