Conference Information

ICONS 2026: ACM International Conference on Neuromorphic Systems

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ICONS
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Submission Date:
2026-04-08 Extended
Notification Date:
2026-06-05
Conference Date:
2026-08-04
Location:
Chicago, Illinois, USA
Viewed: 1517   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

43.8 / 100
Ranked #3,382 of 5,693 conferences · Top 60%
Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
10
Public record completeness (15%)
35

Inputs used: Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-04

Call For Papers

ICONS 2026 (ACM International Conference on Neuromorphic Systems) is an academic conference held in Chicago, Illinois, USA on 2026-08-04. The paper submission deadline is 2026-04-08 (extended). Acceptance notifications are sent on 2026-06-05.

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.
Last updated by Dou Sun on

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