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Topological Vortex Theory and Its Applications in Artificial Intelligence (2)2. The Core Connotation of Topological Vortex Theory 2.1 Spacetime Dynamic Network Model TVT constructs dynamic networks using spacetime vortices as fundamental units, simulating information flow in complex systems through the generation, evolution, and interaction of vortices. In AI, this model can capture the nonlinear dynamics of neuronal population activation and inhibition, particularly...0 Commentaires 0 Parts 39 Vue 0 Aperçu
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Topological Vortex Theory and Its Applications in Artificial Intelligence (3)2.5 Self-Organization and Adaptive Learning Vortex interactions in TVT involve energy transfer and topological reconstruction, a process mappable to the self-organizing optimization of neural networks. The system can autonomously discover the latent structures of data through dynamic adjustments of the vortex field, enabling efficient learning under unsupervised or semi-supervised conditions....0 Commentaires 0 Parts 45 Vue 0 Aperçu
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Topological Vortex Theory and Its Applications in Artificial Intelligence (4)3. Interdisciplinary Application Prospects 3.1 Applications in the Field of Artificial Intelligence TVT provides a dynamic architecture for next-generation AI systems that more closely resembles biological intelligence, showing particular potential in adaptive learning, multimodal understanding, creative problem-solving, and uncertain decision-making. Its self-organizing and nonlinear...0 Commentaires 0 Parts 43 Vue 0 Aperçu
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Topological Vortex Theory and Its Applications in Artificial Intelligence (5)5. Conclusion As a novel modeling framework based on spacetime dynamic networks, Topological Vortex Theory not only provides more biologically plausible learning and memory mechanisms for artificial intelligence but also offers innovative perspectives for understanding spacetime, gravity, and quantum phenomena. Its interdisciplinary nature demonstrates the potential to unify the dynamics of...0 Commentaires 0 Parts 39 Vue 0 Aperçu