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

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 ...

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

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

What started out as a response to labor shortages in poultry processing plants during the COVID-19 pandemic has turned into a ...

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

To use this evidence, investigators typically must grow the larvae until adulthood in a laboratory setting and then identify ...

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 ...

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

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

The Department of Journalism and Mass Communication (JMC) at American International University–Bangladesh (AIUB) organized a webinar.

Microdramas, predictive modeling and generative AI are moving audience data upstream — reshaping how stories are imagined, financed and greenlit across Hollywood ...