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.

Life seems to just mysteriously ‘emerge’ from non-living parts, such as elementary particles.

By focusing on causal relationships in genome regulation, a new AI method could help scientists identify new immunotherapy techniques or regenerative therapies.

As US cities struggle to reduce homelessness, two scholars explain how planners can reform shelter design to be more humane and to prioritize mental health and well-being.