NICE 2027

The NICE 2027 will take place

  • 6 – 8 April 2027  (Tuesday, Wednesday and Thursday) for the main conference
  • 9 April 2027 (Friday) for the tutorials day

at the University of Sussex  (Brighton, United Kingdom)
(University of Sussex on OpenStreetMap).

Important dates

  • 11 November 2026: paper submission
    Papers: for submissions, we will accept regular papers (4-8 pages, not including references) that will be reviewed by the program committee.
    Please submit your paper on easychair (link will be posted here)
    Submissions can be accepted for a talk (full talk or lightning talk) or a poster presentation by the program committee.
    The NICE 2027 proceedings (for accepted full or lightning talks and for some selected posters) will be published and indexed through IEEE Conference Proceedings (but authors can also opt out from being included in the proceedings)
  • 1 February 2027: late breaking news submissions
  • 6 – 8 April 2027 main conference
  • 9 April 2027 tutorials day

List of Topics of the NICE 2027 – “the usual suspects”:

  • Architectures and Hardware 
    • Neuromorphic Hardware
    • Analog/Mixed-Signal and Beyond-CMOS Hardware
    • Compute-In-Memory Architectures
    • Next-Generation Architectures
    • Neuromorphic materials and devices
  • NeuroAI
    • 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
    • Event based artificial intelligence
  • 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.