Visual Question Answering (VQA) is a multimodal task involving Computer Vision (CV) and Natural Language Processing (NLP), the goal is to establish a high-efficiency VQA model. Learning a fine-grained ...

Our approach leverages knowledge distillation with Vision Transformer (ViT) as the image encoder to capture complex visual features, the model benefits from knowledge distillation, transferring ...

A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...

Decoder guest host Jon Fortt and Cassie Kozyrkov, Google’s former chief decision scientist, on the role AI will play in ...

UK remote and hybrid work ONS overview More than a quarter (28%) of working adults in Great Britain hybrid worked between January and March 2025 The ...