Direct content analysis reveals important details about movies including those of gender representations and potential biases. We investigate the differences between male and female character depictions in movies, based on patterns of language used. Specifically, we use an automatically generated lexicon of linguistic norms characterizing gender ladenness. We use multivariate analysis to investigate gender depictions and correlate them with elements of movie production. The proposed metric differentiates between male and female utterances and exhibits some interesting interactions with movie genres and the screenplay writer gender.
The purpose of this project is to provide instructions for teaching the Artificial Intelligence topic of supervised machine learning for the task of Optical Character Recognition (OCR) at various levels of a student’s undergraduate curriculum, such as basic knowledge, novice, and intermediate. The levels vary from beginner with a slight background in computing and computer science to intermediate with a better understanding of computer science fundamentals and algorithms.
This demonstration showcases the different use cases of Artificial Intelligence (AI) in education by introducing students to applications of the Scribbler robot with the Fluke board in order to cultivate an interest in programming, robotics, and AI. The targeted audience for this is students aged eight through twelve. This demonstration uses three Scribbler robots to introduce students to common tools in AI (OpenCV and Tesseract), and teach them the basics of coding in an interactive, unintimidating way; by physically describing the goals of simple shape-building algorithms and implementing them using cards with both visual and written representations of the instructions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.