Descripción del proyecto
Una nueva tecnología chip neuromórfica apoyará el aprendizaje en múltiples escalas temporales
La informática neuromórfica es una denominación general dada a una serie de esfuerzos para crear cálculos emulando la estructura neuronal del cerebro humano. El proyecto MeM-Scales, financiado con fondos europeos, trabajará en el desarrollo de una plataforma que servirá como base de futuros productos mediante la combinación de una eficiencia energética extraordinaria con las capacidades de la cognición humana. Se centrarán en construir una memoria novedosa y tecnologías de dispositivos, así como algoritmos de aprendizaje autónomo que admiten el aprendizaje en el chip a lo largo de múltiples escalas temporales, tanto para la sinapsis como las neuronas. Este nuevo tipo de tecnología informática puede utilizarse en microchips de diagnóstico médico implantables, productos electrónicos vestibles e interacciones entre personas y ordenadores, y para promover la supervisión medioambiental distribuida.
Objetivo
"The project MeM-Scales aims at lifting neuromorphic computing in analog spiking microprocessors to an entirely new level of performance. Work in this project is based on a dedicated commitment that novel hardware and novel computational concepts must be co-evolved in a close interaction between nano-electronic device engineering, circuit and microprocessor design, fabrication technology and computing science (machine learning and nonlinear modeling). A key to reflecting ""hardware physics"" in ""computational function"" and vice versa is the fundamental role played by multiple timescales. Here MeM-Scales introduces a number of innovations. On the side of physical substrates, novel memory and device technologies, supporting on-chip learning over multiple timescales for both synapses and neurons, will be fabricated. To enable timescales spanning up to 9 (!) orders of magnitude both volatile memory and non-volatile memory as well as Thin Film Transistor technology will be exploited. On the side of computational theory, autonomous learning algorithms and architectures supporting computation over these wide range of timescales will be developed. These computational methods are specifically tailored to cope with the low numerical precision, parameter drift, stochasticity, and device mismatch which are inherent in analog nano-scale devices. These cross-disciplinary efforts will lead to the fabrication of an innovative hardware/software platform as a basis for future products which combine extreme power efficiency with robust cognitive computing capabilities. This new kind of computing technology will open new perspectives, for instance, for high-dimensional distributed environmental monitoring, implantable medical diagnostic microchips, wearable electronics or human-computer interfacing."
Ámbito científico
- natural sciencescomputer and information sciencessoftware
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwarecomputer processors
- natural sciencescomputer and information sciencescomputational science
- engineering and technologymaterials engineeringcoating and films
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Palabras clave
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-ICT-2019-2
Régimen de financiación
RIA - Research and Innovation actionCoordinador
75015 PARIS 15
Francia