Канал: Open Neuromorphic

C-DNN and C-Transformer: Mixing ANNs and SNNs for the Best of Both Worlds

C-DNN and C-Transformer: Mixing ANNs and SNNs for the Best of Both Worlds

Advances in Neuromorphic Visual Place Recognition

Advances in Neuromorphic Visual Place Recognition

Accelerating Inference and Training at the Edge

Accelerating Inference and Training at the Edge

The ELM Neuron: An Efficient and Expressive Cortical Neuron Model

The ELM Neuron: An Efficient and Expressive Cortical Neuron Model

NIR: A Unified Instruction Set for Brain-Inspired Computing

NIR: A Unified Instruction Set for Brain-Inspired Computing

IBM NorthPole - Neural Inference at the Frontier of Energy, Space, and Time

IBM NorthPole - Neural Inference at the Frontier of Energy, Space, and Time

Hybrid learning for event-based visual motion detection and tracking for pedestrians - C. Axenie

Hybrid learning for event-based visual motion detection and tracking for pedestrians - C. Axenie

Programming Scalable Neuromorphic Algorithms With Fugu - Dr Brad Aimone @SandiaLabs

Programming Scalable Neuromorphic Algorithms With Fugu - Dr Brad Aimone @SandiaLabs

Speeding up Neuromorphic Computing with Spyx - High Performance SNN

Speeding up Neuromorphic Computing with Spyx - High Performance SNN

Making Neuromorphic Computing Mainstream: Beyond SOTA with Biological Mechanisms - Timoleon Moraitis

Making Neuromorphic Computing Mainstream: Beyond SOTA with Biological Mechanisms - Timoleon Moraitis

Building Neuromorphic Applications using Talamo - George Vathakkattil Joseph, Innatera

Building Neuromorphic Applications using Talamo - George Vathakkattil Joseph, Innatera

What’s Catching Your Eye? The Visual Attention Mechanism - Giulia D’Angelo

What’s Catching Your Eye? The Visual Attention Mechanism - Giulia D’Angelo

From C/C++ to Dynamically Scheduled Circuits - High-level Synthesis - Lana Josipović

From C/C++ to Dynamically Scheduled Circuits - High-level Synthesis - Lana Josipović

Does the Brain do Gradient Descent? Konrad Kording

Does the Brain do Gradient Descent? Konrad Kording

Low-Power Spiking Neural Network Processing Systems for Extreme-Edge Applications - Federico Corradi

Low-Power Spiking Neural Network Processing Systems for Extreme-Edge Applications - Federico Corradi

Lava: Open-Source Framework for Neuro-Inspired Applications - Andreas Wild, Mathis Ricther, Intel

Lava: Open-Source Framework for Neuro-Inspired Applications - Andreas Wild, Mathis Ricther, Intel

Hands-On Session with Xylo and Rockpool - Dylan Muir, Synsense

Hands-On Session with Xylo and Rockpool - Dylan Muir, Synsense

Hands-on Session with Speck and Sinabs - Gregor Lenz, Synsense

Hands-on Session with Speck and Sinabs - Gregor Lenz, Synsense

Evolutionary Optimization for Neuromorphic Systems - Catherine Schuman, University of Tennessee

Evolutionary Optimization for Neuromorphic Systems - Catherine Schuman, University of Tennessee

Towards Training Robust Computer Vision Models for Neuromorphic Hardware - Gregor Lenz @ TU Delft

Towards Training Robust Computer Vision Models for Neuromorphic Hardware - Gregor Lenz @ TU Delft

Hands-On Session with snnTorch - Jason Eshraghian, University of California Santa Cruz

Hands-On Session with snnTorch - Jason Eshraghian, University of California Santa Cruz

PEPITA PyTorch for Training Deep Neural Networks - Giorgia Dellaferrera et al., IBM Zurich, UZH, ETH

PEPITA PyTorch for Training Deep Neural Networks - Giorgia Dellaferrera et al., IBM Zurich, UZH, ETH

Hands-On Session with Nengo - Trevor Bekolay, Applied Brain Research

Hands-On Session with Nengo - Trevor Bekolay, Applied Brain Research