NICE 2026 will take place at the
Georgia Institute of Technology, Atlanta, USA
Conference dates:
- Tuesday, 24 March – Thursday, 26 March 2026: NICE conference days
- Friday, 27 March 2026 tutorial day
Important dates
- Papers: for submissions, we will accept regular papers (4-8 pages, not including references) that will be reviewed by the program committee. Paper submissions due: 2 December 2025
24 November 2025.
Please submit your paper suggestions here on easychair.
The 2026 NICE proceedings will be published and indexed through IEEE Conference Proceedings (but authors can also opt out from being included in the proceedings)
Submissions can be accepted for a talk (full talk or lightning talk) or a poster presentation by the program committee. - We also welcome Abstracts (1-2 pages) for ‘Work in Progress’.
Submissions can be accepted for a talk (full talk or lightning talk) or a poster presentation by the program committee, but abstract submissions will not be included in the proceedings.
Abstract submissions are due 2 December 202524 November 2025.
To submit an abstract please upload the .pdf here. - Tutorial suggestions due: 2 December 2025
24 November 2025
To suggest a tutorial, please upload a tutorial description here. - Acceptance decision notifications will be sent in January 2026
- Late Breaking News Abstracts suggestions will be possible until: 1 February 2026
- Late Breaking News Abstracts Decision Notification: 19 February 2026
List of Topics of the NICE 2026:
- Architectures and Hardware
- Neuromorphic Hardware
- Analog/Mixed-Signal and Beyond-CMOS Hardware
- Compute-In-Memory Architectures
- Next-Generation Architectures
- Computational and Systems Neuroscience
- Neural circuits: Theory and Experimental Support
- Local learning and Plasticity
- Connectomics
- Neural Algorithms and Machine Learning
- Neuroscience-Inspired Algorithms
- Resource-Constrained and/or Hardware-Aware Artificial Neural Networks
- Spiking Neural Networks
- Neuromorphic Computing Applications
- Emerging Applications
- Robotics and Automation
- High-Performance Computing
- Edge Computing
- Biosignal Processing and Brain-Computer Interfaces
- Bio-Inspired Sensing
- Event-Driven Sensing
- Novel Neuromorphic Sensors
- Efficient Spike-Based Information Coding and Processing
- Algorithms and Software Frameworks for Neuromorphic Computing
- Tools and Programming/Mapping Frameworks
- Benchmarks, Neuromorphic Datasets
- Theoretical Frameworks and Models for Neuromorphic Engineering
- Memory-efficient Spike-Based Simulators