More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.

These models, which can predict a patient’s race, gender, and age, seem to use those traits as shortcuts when making medical diagnoses.

The MIT senior calculates how renewables and EVs impact the grid.

MIT spinout DataCebo helps companies bolster their datasets by creating synthetic data that mimic the real thing.

By breaking an intractable problem into smaller chunks, a deep-learning technique identifies the optimal areas for thinning out traffic in a warehouse.

An easy-to-use technique could assist everyone from economists to sports analysts.

China has a lot of vacant retail space, including many underused shopping malls. An urban policy scholar describes how the Chinese are rethinking what the mall is for.

Disinformation campaigns often use a set of rhetorical devices that you can learn to spot, like conspiracy narratives, good versus evil framing, and revealed secrets.

A new, data-driven approach could lead to better solutions for tricky optimization problems like global package routing or power grid operation.

Several companies have made quantum computers, but these early models have yet to demonstrate quantum advantage: the ability to outstrip ordinary supercomputers.