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Embedded STOrage elements on next MCU generation Ready for AI on the edGE
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Aim of the project and specific objectives

The main aim of the storAIge project is to setup a world-class manufacturing platform for silicon with Artificial Intelligence capabilities, prototyping high performance, FD-SOI low power and secured & safety components enabling competitive AI at the edge applications. Moving AI from the cloud to the edge will orient the storAIge technological developments towards 3 interdependent challenges:

  • Increase the computing power (high performance),
  • Lower the energy consumption (energy-efficient),
  • Implement adequate security & privacy level,

The IM2NP will contribute at different levels. We will be involved to carry out electrical characterizations of various memory devices in order to study their reliability and energy consumption when used in a Near-Memory or In-Memory Computation (NMC or IMC) context. Finally, we will be able to present an innovative circuit architecture embedding NMC and/or IMC to target Binary or Ternary neural network inference at first step and learning in a second step.


Laboratoires et entreprises impliqués :

STMicroelectronics, CEA, IMEC, CSEM (Centre Suisse d’Electronique et de Microélectronique), CYBERTRON TECH GMBH, IMA (Institut Mikroelektronických Aplikací), UTIA (Institute of Information Theory and Automation of the Czech Academy of Sciences), FhG-IPMS (Fraunhofer-Gesellschaft zur Foerderung der Angewandten Forschung), X-FAB, TU Darmstadt (Technischen Universität Darmstadt), IMMS (Institut für Mikroelektronik - und Mechatronik-Systeme gemeinnützige GmbH), EDC (Electronic Design Chemnitz GmbH), Micro-Sensys GmbH, Knowtion, endiio Engineering, emmtrix Technologies, CNRS-LTM, SOITEC, THALES, Université Grenole Alpes, IM2NP, Pfeiffer Vacuum, Politecnico di Torina, IUNET (Consorzio Nazionale Interuniversitario per la Nanoelettronica), Strikersoft, KTH (Kungliga Tekniska Högskolan), Utbildning och forskning i världsklass, Atlas (Atlas Copco Industrial Technique), Türkiye (türkiye bilimsel ve teknolojik araştırma kurumu), Ford Otosan, Smart İş Makinaları San. Tic. A.Ş., Turkcell Teknoloji, Büyütech, Arcelik, IMU (İstanbul Medipol Üniversitesi), ZF friedrichshafen, Melexis