Archives

  • [Early Access] Neural Tides: Reshaping Societies Through Distributed Intelligence
    Vol. 1 No. 6 (2025)

  • First Light: Pioneering AI Research for Tomorrow's Challenges
    Vol. 1 No. 1 (2025)

    This inaugural issue illuminates the dawn of transformative AI applications across education, healthcare, and engineering. From revolutionizing ​​natural language processing pedagogy​​ in undergraduate institutions to enabling ​​precision breast cancer diagnosis​​ through lightweight neural networks, these studies represent the first rays of AI's potential. The collection bridges fundamental research and practical innovation—whether simulating power converters for smarter energy systems or developing wireless transmission prototypes. Particularly compelling is how AI personalizes ​​English language education​​ through layered teaching models, demonstrating technology's power to address individual learning needs. Together, these papers don't just respond to current challenges; they cast light on future possibilities where AI enhances how we teach, heal, and build.

  • Symphony of Algorithms: Conducting AI in Education, Agriculture and Healthcare
    Vol. 1 No. 3 (2025)

    This issue presents a harmonious convergence of artificial intelligence across diverse domains—where machine learning orchestrates ​​digital classrooms​​, computer vision nurtures ​​smart farmlands​​, and neural networks fine-tune ​​medical diagnostics​​. Like a masterful symphony, these studies demonstrate how algorithmic "instruments"—from firefly-optimized data preprocessing to hyperspectral image analysis—can create transformative synergies. Whether enhancing music education through digital tools or detecting rib fractures with deep learning, each paper reveals AI's capacity to conduct innovation across the score of human progress.

  • [Early Access] Converging Frontiers: AI at the Nexus of Health, Ethics, and Global Systems
    Vol. 1 No. 5 (2025)

    This issue captures AI’s transformative role where ​​clinical diagnostics​​ meets ​​existential debate​​, and where ​​blockchain logistics​​ intersects with ​​agricultural vision systems​​. Featuring a machine learning framework for multi-disease risk prediction with interpretability analysis, it juxtaposes pragmatic healthcare tools with speculative dialogues on AI’s future impact—inspired by science fiction narratives. Meanwhile, novel neural architectures for electronic systems and blockchain-embedded low-carbon supply chains demonstrate AI’s capacity to optimize both information flows and physical commodities. The inclusion of a YOLOv8-based tea detection system further anchors theoretical advances in tangible applications. Together, these studies map AI’s expanding influence across medicine, philosophy, and industrial ecology, inviting readers to consider: How do we steward technologies that simultaneously diagnose diseases and redefine human purpose?

  • Wires to Wisdom: Engineering, Ethics, and Evolution in AI Systems
    Vol. 1 No. 2 (2025)

    This issue explores the multifaceted journey of AI—from the precision of CAN bus motor control to the ethical dilemmas of criminal justice intervention, and from AIGC-powered heritage preservation to bias-mitigated personalized learning. Bridging hardware and humanity, these studies collectively interrogate how intelligent systems evolve when engineering rigor meets ethical reflection. Whether optimizing machine communication or safeguarding cultural memory, each contribution underscores a shared imperative: to weave technical innovation with societal wisdom.

  • The Responsible Code: Human-Centered AI for Education, Social Work and Global Networks
    Vol. 1 No. 4 (2025)

    This issue explores AI's transformative potential when guided by ethical principles and human priorities. From safeguarding maritime transportation through ​​human-centric cybersecurity frameworks​​ to reimagining ​​physics pedagogy​​ with interdisciplinary AI tools, these studies demonstrate how technology can amplify human capabilities across sectors. The collection highlights:

    • ​​Dual-path Transformer models​​ that optimize educational equity
    • ​​AI-augmented social work​​ practices balancing opportunity with ethical challenges
    • ​​Polycentric governance frameworks​​ for distributed AI responsibility

    Together, they form a "responsible code" – not just in programming terms, but as a blueprint for developing AI that serves classrooms, communities and global systems with equal care. Whether protecting ships' digital infrastructure or personalizing learning experiences, each paper contributes to the crucial dialogue about building AI that aligns with human values at every scale.