Journal of Superintelligence and Computing adheres to the principles of openness, innovation, and rigor, committed to becoming an internationally influential academic journal in the field of intelligent convergence, and contributing to the transformation and development of computing technology.

We welcome innovative, practical research that advances technology while addressing real-world challenges. The journal encourages exploration of sustainable AI development pathways to better serve human society. The scope of JSC includes but is not limited to the following areas:

• Superintelligence foundations: Cognitive science, machine learning, deep learning, neural networks
• High-performance computing: Distributed architectures, heterogeneous systems, quantum computing, energy-efficient technologies
• Machine learning methods: Explainable AI, few-shot/meta-learning, multimodal learning, robust/adversarial learning
• Ethical frameworks: Algorithmic fairness, privacy preservation, ethical decision models, policy/regulation
• Neuromorphic engineering: Spiking neural networks, neuromorphic chips, bio-inspired learning, synaptic plasticity
• Interdisciplinary applications: AI in healthcare, education, smart cities, environmental protection
• Societal impacts: Human-AI collaboration, educational transformation, cultural influence