ICONS 2026: ACM International Conference on Neuromorphic Systems

Neuromorphic computing has the potential to transform the way we use computers through new materials, new brain-inspired chips, greater understanding of neuroscience, and breakthroughs in low-energy/edge AI. Neuromorphic computing systems, we believe, will lead to more powerful and efficient computing paradigms. The goal of this conference is to bring together leading researchers in neuromorphic computing to present new research, develop new collaborations, and provide a forum to publish work in this area.

Focus Areas

We welcome submissions in the areas of neuromorphic computing, neural-inspired computing, and neuroscience-inspired AI.  Below is a list of focus areas of particular interest.

    Systems, architectures, circuits, devices, and materials
        Neuromorphic circuits or sensors
        Non-von Neumann computing architectures and models
        Emerging devices and hardware implementations
        Event or spike-based systems
        Novel brain-inspired system architectures
    Algorithms for training, configuring, or programming
        Supervised, unsupervised and self-supervised learning methods
        Biologically-inspired algorithms
        Adaptations to existing algorithms for use on or with neuromorphic systems
        Continual learning systems
    Applications and use-cases
        Energy Efficient Edge-AI Applications
        Biomedical Applications
        Applications demonstrating a neuromorphic or neural-inspired advantage
        Benchmark tasks for neuromorphic computing
        Neuromorphic datasets
        Domain-specific adaptation
    Software and interfaces for neuromorphic systems
        Efficient simulation techniques for large-scale networks
        Compilers, programming frameworks and related methodology
        Visualization and insight tools

Note: This is a non-exhaustive list and submissions outside the scope of these areas will also be considered.