Call for papers: Special Issue on 'AI-Driven Interdisciplinary Integration and Innovation'
This Special Issue focuses on AI-Driven Interdisciplinary Integration and Innovation, highlighting how AI catalyzes novel research paradigms through the fusion of traditionally siloed disciplines. By leveraging machine learning, neural networks, natural language processing, reinforcement learning, and symbolic reasoning, researchers are now embedding intelligence directly into diverse domains such as medicine, materials science, environmental monitoring, economics, and design.
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