A research team at Universidad Carlos III de Madrid (UC3M) has developed technology using advanced machine learning techniques that detects signs of gender violence from paralinguistic characteristics of the voice such as tone, rhythm, and intensity. This innovative method helps to recognize situations of psychological stress or trauma while preserving the privacy of the speakers, which could have major implications for telephone helplines and telemedicine services.

New research from the University of Waterloo suggests that more than creativity is at play. Behind many great melodies, researchers found something surprisingly powerful: symmetry. Their work shows that advanced algebra can reveal deep musical patterns that are not always obvious by ear or even on a written score. 

The findings could help composers better understand what makes melodies work, as the study offers a recipe for generating new melodies that follow specific symmetry rules, opening new creative possibilities for composers and researchers. 

As universities increasingly adopt digital tools and automated analytics systems, attention often centers on these tools’ gains in accuracy and efficiency. Far less visible, however, is another critical dimension: the additional work students must do to produce, organize, and interpret their own data within these systems.

A team led by Assoc. Prof. Dr. Çiğdem Maner at Koç University has identified the earliest evidence of indigo-dyed textiles and single-needle knitting (nålbinding) in Anatolia at Beycesultan Höyük. Dating to c. 1915–1595 BC, the fragments were analyzed using advanced scientific methods. Published in Antiquity, the findings reveal sophisticated knowledge of plant fibers and dye chemistry in Bronze Age Anatolia and suggest the production of high-status textiles.