With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...
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 ...
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 ...
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 ...
Machine Learning gets all the marketing hype, but are we overlooking Bayesian Networks? Here's a deeper look at why "Bayes Nets" are underrated - especially when it comes to addressing probability and ...
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