The 2027 Neuro-Inspired Computing Elements (NICE) Conference is the 14^th annual meeting of researchers in the neural computing field. Like previous editions, NICE 2027 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.

NICE 2027 will be held 6th - 9th April in Brighton, United Kingdom.

For venue details, agenda information and registration please see the NICE 2027 website.

Submission Guidelines

Paper Submissions: Regular papers (4-8 pages, not including references, no supplemental material) will be due 11th November via EasyChair. Papers will be reviewed by the program committee on the basis of quality and clarity of the work (not length). Papers should cover unpublished work and emphasize the novel aspects and potential impact on the neural computing community. From these submissions we will invite several full talks (25 minutes), lightning talks (10 minutes), with the option to be published as an online proceedings volume (details below). An additional set of submissions will be invited for poster presentations, but may not be included in the proceedings.

Late Breaking Abstracts: To present newest findings from work in progress late-breaking news abstracts (1-2 pages) can be submitted until 1 February 2027. Abstracts may be accepted for a lightning talk (10 minutes) or poster presentation, but will not be included in the proceedings.

Details on 2027 NICE Conference Proceedings

• The 2027 NICE proceedings will be published and indexed through IEEE Conference Proceedings this year.
• Please see IEEE Template Download for formatting instructions for IEEE conferences in LaTEX and Word. EasyChair submissions should be a PDF of your paper, with camera ready versions (per the IEEE instructions) due after acceptance.

Important Dates

• Regular Paper Due Date: 11th November 2026, Anywhere on Earth (AoE)
• Regular Paper/ Abstracts Decision Notification: 20th December 2026
• Late Breaking News Abstracts Due: 1st February 2027, AoE
• Late Breaking News Abstracts Decision Notification: 16th February 2027
• Camera Ready Papers Due: 9th March 2027 AoE
• Conference (Talks): 6th - 8th April 2027
• Conference (Tutorials): 9th April 2027

List of Topics

Listed below are the conference focus areas, which span neuromorphic computing, including: algorithm development, neurally inspired frameworks, hardware architectures, sensing technologies, software frameworks, and applications. During submission, please indicate which of the following topics your paper impacts.

• Architectures and Hardware

Novel devices, circuits, materials, and computing architectures that enable efficient neuromorphic and brain-inspired computation.

• Neuromorphic Hardware
• Analog/Mixed-Signal and Beyond-CMOS Hardware
• Compute-In-Memory Architectures
• Next-Generation Architectures
• Neuromorphic materials and devices

• NeuroAI

Neuroscience foundations and biological principles that inform models of intelligence and inspire new approaches to AI.

• Neural circuits: Theory and Experimental Support
• Local learning and Plasticity
• Connectomics
• Neuroscience-Inspired Algorithms

• Spiking and Event-Based Neural Algorithms

Computational models, learning algorithms, and efficient implementations for spiking, event-driven and hardware-aware neural systems.

• Resource-Constrained and/or Hardware-Aware Artificial Neural Networks
• Spiking Neural Networks
• Event based artificial intelligence

• Neuromorphic Computing Applications

Practical uses of neuromorphic and brain-inspired computing across scientific, engineering, and real-world applications.

• Emerging Applications
• Robotics and Automation
• High-Performance Computing
• Edge Computing
• Biosignal Processing and Brain-Computer Interfaces

• Bio-Inspired Sensing

Sensors and sensing paradigms inspired by biological systems, including event-driven and neuromorphic approaches to efficient perception.

• Event-Driven Sensing
• Novel Neuromorphic Sensors
• Efficient Spike-Based Information Coding and Processing

• Algorithms, Models, and Software Frameworks for Neuromorphic Computing

Computational models, theoretical foundations, software tools, datasets, benchmarks, and simulation methods that support the design, analysis, and evaluation of neuromorphic systems.

• Tools and Programming/Mapping Frameworks
• Benchmarks, Neuromorphic Datasets
• Theoretical Frameworks and Models for Neuromorphic Engineering
• Memory-efficient Spike-Based Simulators

Committees

Organizing Committee

• Murat Okandan (NICE Workshop Foundation)
• Brad Aimone (Sandia National Laboratories)
• Steve Furber (University of Manchester)
• Johannes Schemmel (Heidelberg University)
• Dhireesha Kudithipudi (UT San Antonio)
• Bjorn Kindler (Heidelberg University)
• Gert Cauwenberghs (UCSD)
• Suma G. Cardwell (Sandia National Laboratories)
• Sebastian Billaudelle (INI, UZH & ETH Zürich)

Local Chairs

• Thomas Nowotny (University of Sussex)
• James Knight (University of Sussex)

Program Chairs

• G. William Chapman (Sandia National Laboratories)
• Sebastian Billaudelle (INI, UZH & ETH Zürich)
• Suma G. Cardwell (Sandia National Laboratories)
• Organizing Committee

Venue

NICE 2027 will be held in Brighton, United Kingdom (NICE 2027 venue info)

Contact

All questions about submissions should be emailed to Dr. William Chapman (gwchapm@sandia.gov) and Dr. Sebastian Billaudelle (sebastian@ini.uzh.ch).

Sponsors

If you are interested in helping sponsor NICE 2027, please contact Dr. Brad Aimone (jbaimon@sandia.gov) or the local hosts.