Visual Question Answering (VQA) is a dynamic interdisciplinary field that unites computer vision and natural language processing to enable systems to answer open-ended questions about images. The task ...

This research combines deep learning, visual question answering (VQA), and informed learning to bridge the gap between human-level understanding and machine-driven crop diagnostics. ILCD integrates a ...

Microsoft announced a new conversational question answering model that outperforms other methods, answering questions faster and accurately while using significantly less resources. What is proposed ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across ...

The regular monthly update to Microsoft's Azure SDK improves Cognitive Services text analytics, specifically with a new Question Answering SDK that supplants QnA Maker. Azure Cognitive Services ...