Descrizione del progetto
Sfruttare materiali topologici in un’architettura di rete neurale più «simile al cervello»
Sebbene assomigli a un ammasso di spaghetti, il cervello è composto da circa 86 miliardi di cellule nervose che formano circa 100 migliaia di miliardi di interconnessioni. Inoltre, tali interconnessioni sono estremamente ordinate, in modo che diverse regioni del cervello sostengano diverse funzioni. Nelle attuali architetture fisiche di reti neurali che derivano dall’ingegneria neuromorfica, il raggiungimento di questo tipo di interconnettività costituisce una barriera. Il progetto SCHINES, finanziato dall’UE, sta affrontando questa sfida, riunendo ricercatori di prim’ordine per ottenere un nuovo tipo di architettura con un’interconnettività scalabile che sfrutta le proprietà esotiche dei materiali topologici.
Obiettivo
Creating a brain-inspired technology through neuromorphic engineering could achieve or even surpass the extraordinary ability of the brain to grasp the world, which operates at an extremely low power consumption yet with the most complex interconnectivity known to mankind. The main goal of SCHINES is to set a clear direction to solve one of the biggest technological challenges that hinders this revolution: in existing physical neural network architectures, the desired interconnectivity can hardly be achieved. We will fabricate and design devices to demonstrate radically improved signal routing using topological metals. The design principle is simple: the environment of chiral electrons, electrons with spin locked to its momentum, can be engineered to create rich electronic lensing effect, analogous yet broader to light in-media propagation. Positive and negative effective indices of refraction for electrons, and lossless signal crossing can be engineered while maintaining, selecting or filtering the intrinsic topological protection of chirality, a degree of freedom that can be used for computation. These design principles are the basis for our device goal with scalable interconnectivity and are highly transferrable: they apply to strained materials, magnetic domains and heterostructures. This ambitious goal is realistic due to the interdisciplinary breadth of the SCHINES consortium: it is built out of established and emerging leaders called to shape the future of the field, joined in a public-private collaboration. They comprise an expertise that bridges the gap between the most abstract quantum field theory calculations with microscopic modelling with sample fabrication and measurement finalizing in device assembly
Campo scientifico
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processing
- natural sciencesphysical sciencesquantum physicsquantum field theory
- natural sciencesbiological sciencesneurobiologycomputational neuroscience
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Parole chiave
Programma(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-FETOPEN-2018-2019-2020-01
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
8803 Rueschlikon
Svizzera