Descrizione del progetto
Nuova tecnologia a chip neuromorfo per supportare l’apprendimento su scale temporali multiple
Calcolo neuromorfico è un termine ombrello attribuito a una varietà di sforzi per creare un sistema di computazione che emuli la struttura neurale del cervello umano. Il progetto MeM-Scales, finanziato dall’UE, lavorerà allo sviluppo di una piattaforma innovativa che servirà come base per i futuri prodotti in grado di combinare un’estrema efficienza energetica con le capacità cognitive umane. L’attenzione si concentrerà sulla costruzione di nuove tecnologie per memorie e dispositivi e di algoritmi di apprendimento autonomi che supportano l’apprendimento su chip su scale temporali multiple, sia per le sinapsi che per i neuroni. Questo nuovo tipo di tecnologia informatica ha il potenziale per far progredire il monitoraggio ambientale distribuito, i microchip medico-diagnostici impiantabili, l’elettronica indossabile e l’interazione uomo-macchina.
Obiettivo
"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."
Campo scientifico
- 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
Parole chiave
Programma(i)
Argomento(i)
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
75015 PARIS 15
Francia