Applications of Neural Networks in Internet of Things
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 10 August 2026
Special Issue Editors
Interests: artificial intelligence; spiking neural network modeling; spiking neural network learning algorithm; brain-inspired cognitive decision-making methods; data science; causal learning; knowledge graphs; high-performance computing; hardware acceleration; blockchain; parallel computing; toolchain design
Special Issue Information
Dear Colleagues,
The development of the Internet of Things (IoT) has generated massive data volumes. To fully harness IoT’s potential, these data must be effectively analyzed and utilized. Sophisticated data analysis and effective decision-making support require artificial intelligence technology. The advancement of neural networks has propelled AI to new heights. Large language models have demonstrated unexpected capabilities across multiple fields and continue to evolve. Brain-inspired intelligence is also thriving, with groundbreaking discoveries in biology and cognitive science driving the development of learning algorithms. The effective utilization of new AI forms like large language models and brain-inspired intelligence to advance IoT remains a cutting-edge frontier of interest in both academia and industry. IoT has unique characteristics, and edge-side applications have distinct requirements, presenting more specific challenges for implementing these novel AI approaches.
Dr. Xu Yang
Dr. Yanjun Zhang
Guest Editors
Manuscript Submission Information
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Keywords
- LLM
- brain-inspired AI
- IoT
- data analysis
- decision-making
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