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Deep neural networks (DNNs) have achieved remarkable success across various fields, including computer vision, natural language processing, and speech recognition. ...
Community Question Answering (CQA) platforms, exemplified by Quora, Yahoo! Answers, and StackOverflow, serve as interactive hubs for information exchange. Despite ...
Advancements in AI have led to proficient systems that make unclear decisions, raising concerns about deploying untrustworthy AI in daily ...
Large Language Models (LLMs) such as ChatGPT have garnered significant attention due to their wide range of capabilities, including language ...
Artificial neural networks (ANNs) exhibit a consistent pattern when trained on natural data, regardless of the initial conditions, dataset, or ...
Deep learning is crucial in today’s age as it powers advancements in artificial intelligence, enabling applications like image and speech ...
The inherent risks associated with AI systems, especially in applications like autonomous driving and medical diagnosis, where errors can have ...
Artificial intelligence has made significant advancements that were previously unimaginable. Machine learning models can now generate outputs that would have ...
Multi-layer perceptrons (MLPs), or fully-connected feedforward neural networks, are fundamental in deep learning, serving as default models for approximating nonlinear ...
This study’s research area is focused on artificial intelligence (AI) and machine learning, specifically concentrating on neural networks capable of ...
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