Lesson plans, classroom materials, and teaching strategies on the Global Impact of Computing. Portal to our collection of creative, engaging resources to support teachers of AP Computer Science Principles, and others who want to bring social impact into high school CS classrooms.
Researchers at the University of North Carolina, Chapel Hill have applied deep-learning algorithms to brain scans of children with a high risk of autism. Algorithms used three indicators, brain surface area, volume, and the gender of the child, to determine if 6- to 12-month-old infants were likely to develop autism. The results were 81% accurate at predicting later diagnosis. This improves over a 50% prediction rate from behavioral questionnaires.