Neuromorphic Computing and Engineering Community

Ways to Get Involved

Next Workshop

The ELM Neuron: An Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks

The ELM Neuron: An Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks

  • Aaron Spieler
  • 2024, February 27
  • 6:00 - 7:30 CET

Aaron tells us about the Expressive Leaky Memory (ELM) neuron model, a biologically inspired phenomenological model of a cortical neuron.

Upcoming Workshops

Accelerating Neuromorphic Inference and Training at the Edge - Rain
Maxence Ernoult
2024, Mar 5    6:00 - 7:30 CET
Advances in Neuromorphic Visual Place Recognition
Tobias Fischer
2024, Mar 20    6:00 - 7:30 CET

Recent Workshops

NIR: A unified instruction set for brain-inspired computing

NIR: A unified instruction set for brain-inspired computing

  • Jens E. Pedersen
  • 2024, February 5

We show how to use the Neuromorphic Intermediate Representation to migrate your spiking model onto neuromorphic hardware.

IBM NorthPole - Neural inference at the frontier of energy, space, and time

IBM NorthPole - Neural inference at the frontier of energy, space, and time

  • Carlos Ortega-Otero
  • 2024, January 25

NorthPole outperforms all prevalent architectures, even those that use more-advanced technology processes.

Hybrid Learning for Event-based Visual Motion Detection and Tracking of Pedestrians

Hybrid Learning for Event-based Visual Motion Detection and Tracking of Pedestrians

  • Cristian Axenie
  • 2024, January 15

Revolutionize traffic safety with neuromorphic visual sensing. Explore award-winning solutions for pedestrian detection and tracking, emphasizing sustainability and city-level deployment. Join Dr. Cristian Axenie in this groundbreaking AI exploration

Recent Posts

NorthPole, IBM's latest Neuromorphic AI Hardware

NorthPole, IBM's latest Neuromorphic AI Hardware

  • Fabrizio Ottati

Translating the NorthPole paper from IBM to human language.

Spiking Neural Network (SNN) Library Benchmarks

Spiking Neural Network (SNN) Library Benchmarks

  • Gregor Lenz, Kade Heckel, Sumit Bam Shrestha, Cameron Barker, Jens Egholm Pedersen

Discover the fastest Spiking Neural Network (SNN) frameworks for deep learning-based optimization. Performance, flexibility, and more analyzed in-depth

TrueNorth: A Deep Dive into IBM's Neuromorphic Chip Design

TrueNorth: A Deep Dive into IBM's Neuromorphic Chip Design

  • Fabrizio Ottati

Explore the innovative TrueNorth neuromorphic chip, its event-driven architecture, low power operation, massive parallelism, real-time capabilities, and scalable design.

Efficient Compression for Event-Based Data in Neuromorphic Applications

Efficient Compression for Event-Based Data in Neuromorphic Applications

  • Gregor Lenz, Fabrizio Ottati, Alexandre Marcireau

Discover methods to efficiently encode and store event-based data from high-resolution event cameras, striking a balance between file size and fast retrieval for spiking neural network training.