Objetivo
At Spin-Ion Technologies we develop a new manufacturing solution based on ion beam processes to precisely engineer magnetic materials at the atomic scale. This result enables the development of new neuromorphic chips based on low power synapses composed of magnetic devices that can overcome both catastrophic forgetting and reduce device variability, hence greatly advancing the development of highly efficient, robust hardware amenable to neural applications on the edge.
Our transition project involves both hardware & software developments to demonstrate implementation of an Artificial Neural Network on a magnetic chip, which will bridge computational neuroscience and deep learning while generating strong impact for future embedded and neuromorphic systems. This project also covers all necessary steps for full commercial readiness, including problem/solution validation, market research, competition analysis, establishing IP strategy, ensuring regulatory compliance, stakeholder engagements, dissemination activities, construction of a detailed business plan and securing future funding.
Ámbito científico
- natural sciencescomputer and information sciencessoftwaresoftware development
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- natural sciencesbiological sciencesneurobiologycomputational neuroscience
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Palabras clave
Programa(s)
- HORIZON.3.1 - The European Innovation Council (EIC) Main Programme
Convocatoria de propuestas
HORIZON-EIC-2022-TRANSITION-01
Consulte otros proyectos de esta convocatoriaRégimen de financiación
HORIZON-EIC - HORIZON EIC GrantsCoordinador
91120 Palaiseau
Francia
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.