As AI-generated sexual imagery spreads on social platforms, teens face mixed messages about consent. Developmental science ...

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

Abstract: Image Coding for Machines (ICM) has yielded significant developments recently. Variable-rate support is necessary for image coding, while performance gap still exists, in learning-based ...

Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...

Abstract: In this study, we investigate multilingual and multiclass sentiment classification by analyzing datasets in Turkish, English, and Italian. The proposed approach consists of three main stages ...