NICE 2023

Dates: 11 – 14 April 2023

  • NICE workshop: Tuesday, 11 April – Thursday, 13 April 2023
  • NICE hands-on tutorials day: Friday, 14 April 2023

Venue

On site attendance at the University of Texas in San Antonio (UTSA.edu) (pending any COVID related changes).

Focus

The 2023 Neuro-Inspired Computing Elements (NICE) Conference is the 10th annual meeting of researchers in the neural computing field. Like previous editions, NICE 2023 will focus on the interplay between neural theory, neural algorithms, neuromorphic architectures and hardware, and applications for neural computing technology.  

NICE aims to involve diverse participation from all over the world and bring together research communities with universities, government, and industry.

Call for papers – open until 11 December 2022

The submission of 4-8 pages papers is open HERE at easychair.

Papers should cover unpublished work and emphasize the novel aspects and the potential impact on the neural computing community. Preference will be given towards submissions describing ambitious approaches to bringing neural inspiration into real-world computing applications. From these submissions we will invite several short talks, lightning talks, and poster presentations.

We also welcome Abstracts (1-2 pages) for ‘Work in Progress’ or ‘Late Breaking News’. These submissions will be considered for poster presentations, lightning talks or demonstrations when applicable. These submissions will not be considered for the proceedings.

As with previous years, NICE is planning on publishing an online proceedings volume, details are below. Authors can also opt out of including their paper in the proceedings.

Submission deadlineDecember 11, 2022
Notification of AcceptanceFebruary 1, 2023
Camera-ready SubmissionFebruary 27, 2023

List of Topics

Listed below are the topics for the conference, together with a non-exhaustive list of relevant sub-topics.

  • 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

Tutorials

Tutorials will be offered on Friday, 14 April 2023.

Please contact Dr. Brad Aimone (jbaimon@sandia.gov) if you are interested in presenting a tutorial at the conference.