A new study in the Journal of Nutrition Education and Behavior, published by Elsevier, examines how the food choice values of parents impact their children's eating behaviors in restaurants. The study focuses on low-income families who are regular restaurant-goers and provides insight into how parental choices influence children's meal decisions, with potential implications for public health interventions aimed at promoting healthier restaurant eating habits.

Children as young as age 6 develop gender stereotypes about computer science and engineering, viewing boys as more capable than girls, according to new results from an American Institutes for Research (AIR) study. However, math stereotypes are far less gendered, showing that young children do not view all STEM fields as the same. These new findings come from the largest-ever study on children’s gender stereotypes about STEM and verbal abilities, based on data from 145,000 children across 33 nations, synthesizing more than 40 years of research.

Pretrained large-scale AI models need to ‘forget’ specific information for privacy and computational efficiency, but no methods exist for doing so in black-box vision-language models, where internal details are inaccessible. Now, researchers from Japan addressed this issue through an innovative strategy based on latent context sharing, successfully getting an image classifier to forget multiple classes it was trained on. Their findings could expand the use cases of large-scale AI models while safeguarding end users’ privacy.