UPEGUI , Andres

During the last years, Deep Neural Networks have reached the highest performances in image classification Nevertheless,such a success is mostly based on supervised and off-line learning: they require thus huge labeled datasets for learning,and once it is done, they cannot adapt to any change in the data from the environment. In the context of...

SOMA is a France-Switzerland collaborative project which aims to develop a computing machine with self-organizing properties inspired by the functioning of the brain. The SOMA project addresses this challenge by lying at the intersection of four main research fields, namely adaptive reconfigurable computing, cellular computing, computational...

This paper presents the self-organized neuromorphic architecture named SOMA. The objective is to study neural-based self-organization in computing systems and to prove the feasibility of a self-organizing hardware structure. Considering that these properties emerge from large scale and fully connected neural maps, we will focus on the...

Self-organization is a bio-inspired feature that has been poorly developed when it comes to talking about hardware architectures. Cellular computing approaches have tackled it without considering input data. This paper introduces the SOMA architecture, which proposes an approach for self-organizing machine architectures. In...

Efficient dynamic allocation of computation resources can enable significant improvements in terms of performance and /or power consumption of hardware architectures.In this paper, we propose three bio-inspired mechanisms for self-organizing cellular hardware architecture built on top of the Cellular Self-Organizing Map (CSOM) vector...

The field of artificial intelligence has significantly advanced over the past decades, inspired by discoveries from the fields of biology and neuroscience. The idea of this work is inspired by the process of self-organization of cortical areas in the human brain from both afferent and lateral/internal connections. In this work, we develop an...