None of this use of AI arrived as science fiction. Adoption was uneven, frequently overpromised, and driven by the belief ...

Abstract: During the deep learning era, innovations in remote sensing (RS) vision models primarily focused on optimizing network architectures for specific tasks and conducting end-to-end training.

Abstract: The translation of low-resource languages remains a significant challenge in Natural Language Processing (NLP) due to the scarcity of high-quality parallel data for training machine ...