Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

Algorithms solve problems. But which algorithm is best suited to which problem? During his doctoral research, Diederick Vermetten developed methods to ...

There are other reasons that help explain the growing use of synthetic data in training AI models. Some things are so scarce or rare that they are barely represented in real data. Rather than letting ...

When change won’t stop, leaders must rethink old playbooks. Learn how to adapt with clarity, protect what matters, and stay ...

One way to identify brand mentions is to search by company name using the TLD segmentation technique. Making a broad search ...

The question is which centers will master the human-plus-AI equation, scaling value density instead of volume.

I’m Building an Algorithm That Doesn’t Rot Your Brain transcript “Our brains are being melted by the algorithm.” [MUSIC ...

Stanford scientist Fei-Fei Li talks about teaching machines to see as humans do, the US-China AI arms race, and what worries ...

Her models account for real-world physical constraints. Researcher develops AI system that could solve major problems for ...

Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy's SLAC National Accelerator Laboratory ...

New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science ...

Artificial intelligence can transform clinician workflows and improve patient outcomes, but its adoption requires intention ...