Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...

The National Bureau of Economic Research has published a new working paper by economists Ali Shourideh (Carnegie Mellon ...

New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results and how these tools may benefit diverse areas such as ...

New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results ...

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

Pattern-recognition algorithms developed for biometric identification are now analysing internal engine components, allowing ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in complex two-dimensional (2D) data, with potential applications ranging from ...

Systems microbiology now generates data at unprecedented scale across microbial community composition and function, host biology, and environmental ...

At Pittcon 2026 in San Antonio, Texas, the LCGC International Awards Session was held on Tuesday, March 10, from 1:30 PM to 4:40 PM. This session, presided by Jerome Workman, Jr., celebrated two ...

Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — ...