research
∙
07/27/2023
Cortex Inspired Learning to Recover Damaged Signal Modality with ReD-SOM Model
Recent progress in the fields of AI and cognitive sciences opens up new ...
share
research
∙
10/24/2022
An Analytical Estimation of Spiking Neural Networks Energy Efficiency
Spiking Neural Networks are a type of neural networks where neurons comm...
research
∙
05/09/2022
Object Detection with Spiking Neural Networks on Automotive Event Data
Automotive embedded algorithms have very high constraints in terms of la...
research
∙
01/06/2022
A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models
The field of artificial intelligence has significantly advanced over the...
research
∙
05/27/2021
Quantization and Deployment of Deep Neural Networks on Microcontrollers
Embedding Artificial Intelligence onto low-power devices is a challengin...
research
∙
04/26/2021
Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks
Convolutional neural networks (CNNs) are now the de facto solution for c...
research
∙
09/04/2020
GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning
Few-shot classification is a challenge in machine learning where the goa...
research
∙
09/04/2020
Improving Self-Organizing Maps with Unsupervised Feature Extraction
The Self-Organizing Map (SOM) is a brain-inspired neural model that is v...
research
∙
04/11/2020
Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning
Cortical plasticity is one of the main features that enable our capabili...
research
∙
10/01/2019
Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence
Machine learning is yielding unprecedented interest in research and indu...
research
∙
10/30/2018
