Descripción del proyecto
Aprovechar materiales topológicos en una arquitectura de red neuronal más «similar al encéfalo»
Aunque el encéfalo parezca una masa de espaguetis, se compone de unos ochenta y seis mil millones de neuronas que forman unos cien billones de interconexiones. Además, estas conexiones siguen un orden muy estricto, de modo que diferentes regiones encefálicas ejecutan distintas funciones. En las arquitecturas actuales de red neuronal física obtenidas mediante ingeniería neuromórfica, no se ha logrado alcanzar este tipo de interconectividad. El proyecto SCHINES, financiado con fondos europeos, afronta este desafío reuniendo a investigadores de categoría mundial para ofrecer un nuevo tipo de arquitectura con una interconectividad escalable que aproveche las propiedades exóticas de los materiales topológicos.
Objetivo
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
Ámbito científico
- 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
Palabras clave
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-FETOPEN-2018-2019-2020-01
Régimen de financiación
RIA - Research and Innovation actionCoordinador
8803 Rueschlikon
Suiza